Public report of Leonxlnx/taste-skill, published 24 October 2026. It has the same score, grades and number of
findings as the full report. The details of security findings (where they are in the code, which known
vulnerabilities and which passwords or keys were found) are left out, so nobody can use them against the project.
Public
Executive reportMeasured under the Code Assurance Index, an open standard for code quality, using its published scoring rules (rubric version 2026.10.5). Watchdog signed this survey and filed it in the standard's public register, where anyone can look it up by its survey ID. Check this survey →
Signed and filed in the standard's public register, 24 October 2026, 11:53 UTC · Survey ID cd_f8868d0b2a094bdf94408df0720d5585
Leonxlnx/taste-skill
Measured 24 October 2026, 11:51 UTC, at code version 6010f91
A regression is a drop of 0.5 points or more in the score, or of 2.5 or more out of 10 in a dimension, since the last survey.
Code coverage is not measured: Suite not runnable in-image and no committed report.
Test distribution is not measured: No automated tests.
Supply-chain provenance & signing is not measured: Supply-chain provenance is not scored (this pipeline releases no artifact), but its build steps or GitHub Actions workflows have integrity defects, or nothing watches its dependency set for published advisories.
CAI scoreWeak
CriticalWeakAdequateStrongExemplary
Down 8 since the last survey
The score is built from these lenses. Each lens grades one area of the code, such as how easy it is to change or how well it is protected. The weakest lens counts most, so one weak area pulls the score down instead of being averaged away.
A small codebase: 4,252 lines of product code in 1 project, tests not counted · Estimated rebuild effort: about 0.1 person-years · Weakest lens: Production Readiness, 21
Findings by how serious they are
4 critical180 serious10 minor
10 dimensions are left out of the score. For each one, Watchdog either couldn't measure it in this code, or found no evidence of the safeguard it looks for, such as a tested backup restore. They count neither for nor against the score, and Limitations lists each one with its reason.
This survey was produced by
Watchdog
Producer
Canine Development
Analyzer
Watchdog engine 1.0.0
Measured
24 October 2026, 11:51 UTC
A measurement, not a certificate. The Code Assurance Index records a number
together with the evidence it was worked out from, so anyone can recalculate it, but it doesn't certify or guarantee
the code. The standard was written by Canine Development, which also builds Watchdog. It is open to any tool that
implements it, and today Watchdog is the only one that does.
The score is deterministic, which means the same code always gets the same score. Watchdog works it out with tools that follow published rules, and an AI model never decides it, so anyone who applies the same rules to the same code gets the same number. How it is done is explained under Methodology ▸
58of 61 dimensions measured by tools. The other 3 are advisory notes from an AI model, which explain the code but don't count towards the score.
185of 194 findings point to an exact file and line, so you can open each one in the code. The other 9 concern the repository as a whole, such as missing documentation.
61dimensions across 7 lenses, read from 4,252 lines of product code in 1 project.
Leonxlnx/taste-skill scores 37 out of 100 and is rated Weak, while six of its seven lenses score higher still: Architecture at 100 and Security and Compliance at 97, both rated Exemplary, Performance at 60, Maturity at 55 and Accessibility at 51, all rated Adequate, and Code Health at 42, rated Weak.
The score is lower than those six because the weakest lens counts most, and here that is Production Readiness, which scores 21 and is rated Critical. Its Test Distribution dimension scores 0 out of 10, and until that reaches 4, Production Readiness can't be rated higher than Adequate. The first actions are to resolve the 1 No tests found finding(s) in Test Distribution and to adopt pino (or winston) and log at meaningful points in the services you run, and if Production Readiness rose to 70, the score would rise from 37 to about 50.
Four findings are critical: two in Static Analysis (SAST) and two in Text alternatives.
Watchdog couldn't measure 10 dimensions in this code, among them Dependency Hygiene, License Compliance and ADR Quality, so they are left out of the score. The product code is 4,252 lines, which would take an estimated 0.1 person-years, around €3,800, to rebuild.
A lens is capped at Adequate while one of its dimensions scores below 4 out of 10, however well the rest of the lens does. That way a serious problem in one place always shows in the lens's rating.
How the score is built: what each lens counts forThe lenses don't count equally. The weakest lens counts most, the next weakest a little less, and so on, so a weak area pulls the score down instead of being averaged away. In the bar below, each part's width shows how much that lens counts and its colour shows its rating. Improving the widest part moves the score most, and as that lens improves, it counts for less, because another lens becomes the weakest.
If Production Readiness rose from 21 to 70, the lowest score rated Strong, the score would rise from 37 to about 50.
Code composition: what the lines of code are
Product code 96%Tests 4%
New since the last survey: 174 findings
These 174 critical or serious findings weren't in the previous survey, on 10 October 2026. The first 100 are listed here, and the findings file in the download package lists them all.
Watchdog compares every finding with the previous survey's. A finding that has only moved to another line in the same file counts as the same finding, so only new findings appear here. Advisory notes from the AI model are left out, because the model words them afresh in every survey.
Fixed since the last survey: 2 findings
These 2 critical or serious findings were in the previous survey, on 10 October 2026, and are gone from this one.
Code Coverage · No automated tests
CI/CD gates · No CI pipeline
Rebuild cost: about €3,800 · Estimate
Cost to rebuild
€1,200 to €6,300, for 21 to 66 hours of work, about 0.1 person-years for one engineer
Difficulty of the problem
Standard, judged from the kind of software and how it is built. Code that solves a harder problem, such as payments or medical bookings, costs more per line to write.
Quality factor
×0.7 at a score of 37. Better code takes more work to write, so the factor is ×1.0 at a score of 70, lower below it and higher above it.
Size
Small: 4,252 lines of product code
How the estimate is made: Watchdog prices the hours a team would need to write this code again, at €60 to €95 an hour. Declarations and boilerplate are priced at a fast rate and logic at a slower one, and the logic is then multiplied by the difficulty of the problem and by the quality factor. The estimate can be about 30% off either way, and it moves most with the hourly rate and the difficulty. For this code, every line is priced as straight logic, which keeps the estimate on the low side.
Top priorities
The three actions that raise the score most for the work they take. The full ranked list is in the Roadmap.
1
Resolve the 1 No tests found finding(s) in Test Distribution.
Raises the score by about 15 points · Low effort · Test Distribution
2
Adopt pino (or winston) and log at meaningful points in the services you run.
Raises the score by about 5 points · Medium effort · Observability
3
Add a SAST step to CI running what this repository's stack ships: CodeQL's javascript-typescript pack, `semgrep --config=p/javascript`, or eslint-plugin-security — so a security regression fails the build instead of landing.
Each conclusion below combines several dimensions into one point that no single dimension shows, and lists the measurements it rests on.
Where the investment is most exposed · Value at risk
This code would cost about €3,800 to build again, about 0.1 person-years of work. Its weakest lens is Production Readiness, at 21 (Critical). Production Readiness is about whether the product is ready to run in production and to change without breaking. Because the weakest lens counts most in the score, work on Production Readiness also moves the score most.
Based on: the rebuild estimate · the Production Readiness grade · how much each lens counts
What to do: Start with the Production Readiness actions in Top priorities.
If you do one thing first · First action
Resolve the 1 No tests found finding(s) in Test Distribution. Of all the actions in this report, it raises the score most for the work it takes: about 15 points for low effort, because it clears the 1 Test Distribution findings. The next survey will show the change in the score.
Based on: the ranked actions in Top priorities, by score gain and effort
What hard-to-read code costs each year · Cost
Four dimensions measure how easy the code is to work in: two measure how tangled its logic is, one how much of it is copied, and one how well each part sticks to a single job. In this codebase they average 6.0 out of 10. Code at that level is slower to change than clean code, and Watchdog estimates the extra work at 5% to 11% on every change. The history of the code shows how much it changes: about 13,896 lines over the last 90 days, which is about 56,356 lines a year. At that pace, the extra work comes to an estimated 7 to 42.3 engineer-days a year, and it grows as more code changes.
How this is estimated: The number of changed lines is measured from the history of the code. The rest rests on two assumptions of Watchdog's own: code scoring 8 out of 10 or more adds no extra work, and each point below 8 adds 2.5% to 5.6% to every change; and an engineer changes 150 to 400 lines in a day. The result is a range for planning, not a measurement.
Based on: Cyclomatic Complexity · Cognitive Complexity · Code Duplication · Cohesion (LCOM4) · the code's change history
What to do: Start with the files listed under Churn × Complexity Hotspots, which change often and are hard to read, because that is where the extra work is paid most often.
At a glance — Code Health · 42% · Weak · gated by D1, D2, R1, R2, X3 ·
Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).
OWASP category
Findings
Severity
A05:2025 — Injection
3
High / Critical
Roadmap
First, resolve the missing test finding in Test Distribution and ensure all production modules are covered by tests that import them directly. Next, implement structured logging using pino or winston at key service points to establish basic observability. Then, integrate a static analysis security step into the CI pipeline to prevent security regressions from merging. Finally, refactor the highest-complexity functions to reduce cyclomatic complexity and improve maintainability.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Resolve the 1 No tests found finding(s) in Test Distribution.
Add a SAST step to CI running what this repository's stack ships: CodeQL's javascript-typescript pack, `semgrep --config=p/javascript`, or eslint-plugin-security — so a security regression fails the build instead of landing.
Bring the 36 bodies over 15 down to 15 or less in Cyclomatic Complexity — start with probe.probe (cyclomatic 332), probe.app (cyclomatic 277), probe.frame (cyclomatic 125).
Bring the 44 bodies over 15 down to 15 or less in Cognitive Complexity — start with probe.probe (cognitive 412), probe.app (cognitive 345), probe.frame (cognitive 152).
Adopt TypeScript for the frontend: add a typecheck step to the build, then either type-check the existing JavaScript in place (`checkJs`/JSDoc types) or convert the highest-traffic modules first — no file is typed today, so this is an adoption, not a clean-up.
Every finding carries one of four grades. Three say how serious it is. The fourth says this
survey could not settle it — and it is a grade, not a gap.
Critical — 4
A definite problem that already costs you something and drags the score down: a
missing authorisation check, a dependency with a known exploit, a build that does not reproduce. Failure here
tends to cause failures elsewhere.
Serious — 180
Likely wrong, but not failing yet. It degrades
the codebase over a longer horizon and can cause failures elsewhere — not urgent this week, not something to
carry for two years either.
Minor — 10
Recorded, with no effect on how the codebase functions.
Present so the survey is complete, not because it needs doing.
Could not be resolved — 10
Something this survey could not settle
from the outside, and which could be critical or serious. Either a control was required and no
positive evidence of it exists in the repository — a backup job that nothing shows was ever restored from proves
nothing about restores — or our own analysis could not run over that part of the tree. This is not a clean
result. These are excluded from the score rather than awarded a pass, so the number on the cover neither
rewards nor penalises them: if you act on this survey without resolving them, you carry that risk yourself. Each
one is named under Limitations.
Methodology & how to trust this report
Watchdog is a deep, periodic assessment — run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 58 of 61 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 3 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.8 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.
Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.
What we checked — 61 dimensions across the health lenses
Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.
How to trust any code-health report — three questions
Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 185 of 194 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.
This report answers yes to all three. That's the bar to hold any assessment to.
Tools & methods
The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.
D8 Code Coverage — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. The test suite couldn't be built/run in-image and no coverage report is committed, so line coverage was not measured — and it is EXCLUDED from the score rather than scored on a LoC-ratio proxy. No coverage collector was found in your CI either, so there is no existing report to hand us. You can widen what we reach: optional: add a coverage collector to your test run and commit (or publish) its Cobertura/OpenCover/lcov output anywhere in the repo, or make the suite runnable in-image, and real coverage will be measured.
D12 Dependency Hygiene — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. No dependency manifest this pass reads for hygiene (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, an Elixir mix.exs/mix.lock (Hex), a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems)) was found in this repository, so no package was assessed. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED — a gap in the analyzer, not a verdict about this repository. This row is about dependency HYGIENE — outdated, deprecated or unmaintained direct dependencies; known CVEs in the same dependency graph are a separate question, reported under D30 wherever the manifest is OSV-readable.
D14 License Compliance — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Not scored — no dependency manifest this pass reads for licence data (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, an Elixir mix.exs/mix.lock (Hex), a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems)) was found in this repository, so it declares no third-party dependency closure to grade. A gap in the analyzer, NOT a finding that this repository's licences are compliant: a manifest in an ecosystem outside that list, or third-party code copied into the tree, is not read — so this dimension asserts nothing about this repository's licensing in either direction.
D16 Bus Factor — not measured this run — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. Single-maintainer repository — bus factor is not applicable (20 contributor(s) across 245 commit(s) sampled, automation and bot accounts excluded). One of them holds 86% of the history; the other 19 hold 0.7% each on average, below the 5% at which there is somebody to hand the work to. That is a single maintainer with drive-by contributors, not a team whose knowledge has concentrated — so the bus factor is not applicable and there is nothing here for the owner to act on.
D20 ADR Quality — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. The ADR expectation is gated on whether a repository ships a deployable product. Our repo-kind classifier reads .NET project files and the host and package markers of the other ecosystems it knows (a Go `package main`, a Cargo binary, a package.json `bin`, `start` script or application dev server such as Vite or Next, Python console scripts or a Django/WSGI entry point, a Spring Boot / WAR / Gradle application build, a Rack or Rails app, a Composer project, an OTP release or escript, a Dockerfile, a Procfile, a Platform.sh `.platform/routes.yaml`, and the corresponding published-package manifests, including an OTP `*.app.src`, a Drupal module's `*.info` and a Claude Code `.claude-plugin/plugin.json`), and found none here, so we could not tell what kind of repository this is and did not assess its ADR log. This is a gap in our analyzer, not a finding about this repository.
D22 Internal API Consistency — not measured this run — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. This repository's source is written only in languages whose packages are published through a manifest, and no manifest in the tree makes a publication act: either there is no package manifest of any ecosystem (no package.json, pyproject.toml, setup.py, gemspec, Cargo.toml, pom.xml, build.gradle, composer.json, pubspec.yaml or mix.exs), or every one present declares in its package manager's own terms that it is not published (an npm package marked "private": true, a Cargo package with publish = false, a pubspec with publish_to: none, a Composer "project", a Poetry project with package-mode = false, or the "Private :: Do Not Upload" classifier). With no publication act there is no intentionally-exposed surface for API consistency to be judged over.
D27 Navigability — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Navigability is taken over call sites whose callee resolved. For C# that population includes calls into referenced assemblies; for this language only calls declared inside the repository count, so the abstention threshold reads the repository's use of its standard library as a resolution failure. That is a limit of this analyzer, not a build problem in this repository.
D44 Platform End-of-Life — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This dimension reads a project's own statement about the platform it runs on: a TargetFramework in a .NET project file, a .nvmrc or .python-version, a capped requires-python, a Rust toolchain file or Cargo.toml rust-version, a .go-version, .java-version, .ruby-version, .tool-versions or .sdkmanrc, a go.mod go directive, a Maven or Gradle Java level or toolchain, a Gemfile's ruby directive, a mix.exs elixir requirement, a rebar.config minimum_otp_vsn, a pubspec.yaml SDK constraint, a build.sbt scalaVersion, or a framework major pinned by a dependency constraint. This repository carries none of them, so nothing about its platform was established. That is a gap in this analyzer's coverage, NOT a finding that the platform is supported — a language whose runtime is declared elsewhere (Package.swift, a Dockerfile) is simply not read here yet.
AX1 Captive dependencies — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check reads Microsoft.Extensions.DependencyInjection registrations in C# and Spring beans in Java/Kotlin only, and no container it models, or knows cannot hold a captive, was found in this repository's source, so it had nothing of this repository's product to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
AXB1 Runtime evidence locked — no reproducible boot — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Subject: 4 markup document(s) — HTML, Razor, JSX, Vue, Svelte or server templates. The Runtime Evidence tier boots an app only via docker-compose, an Aspire AppHost, a Dockerfile, an npm dev script, a web service's own toolchain entry point (cargo, go, dotnet, Python, Spring Boot), or an Android app's own Gradle wrapper (run on an emulator); an Apple or Flutter app needs a host it lacks. None applied, so no live runtime a11y/egress/header evidence was collected. You can widen what we reach: add a docker-compose.yml (or an Aspire AppHost) that brings the app up with its dependencies. Watchdog then boots it in an isolated sandbox and gathers real runtime evidence — you change nothing in your pipeline (no CI step, no SDK).
P1 CI/CD gates — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. A CI pipeline exists and the word "test" appears, but no explicit test-runner invocation (your stack's test command, or a test job) was matched — so either the gate runs tests through a step this pass could not recognise, or "test" is incidental here (a path, "latest", a reporter). Which of the two it is cannot be settled from this dimension's evidence; the coverage dimensions report whether a suite exists at all. You can widen what we reach: name the test runner explicitly in the pipeline step (your stack's test command, or a job named for the suite) so the gate is unambiguous to a reader and to this pass.
P5 DR & Backup — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. No backup/snapshot/replication config, RTO/RPO or restore-procedure documentation was found. Whether there is anything here to recover could NOT be determined: persistence is detected from deployment/container manifests and from dependency manifests, and neither was readable by this pass, so a data store this code opens directly — a file, an embedded database — would not be visible to it. The blindness is this analyzer's, not a finding that the repository holds no data. You can widen what we reach: keep the deployment/container manifest or a dependency manifest in this repository — or a link to the ops repo that holds the DR evidence — so the persistence probe has something to read.
S1 Web-Security Posture — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. 12 JavaScript/TypeScript file(s) were read for weak hashes and ciphers, key material fixed in the source, disabled certificate validation and obsolete TLS versions, and none was found. The server controls this dimension also scores were not assessed, so no score is given.
X4 Structured logging — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check reads C# syntax, and JavaScript/TypeScript, Java, Kotlin, Python, PHP, Dart, Ruby, Scala and Rust source only, and no C# was loaded, and this repository's JavaScript/TypeScript, Python and PHP make no call through a named logger, so it had nothing of this repository's product to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared — every source file was scored.
Limitations & what we did not check
Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.
Per-dimension blind spots
For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.
D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
D4 Code Duplication: Duplication is token-similarity — an in-process token-stream comparison over sliding windows, with type-aware normalization — so it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
D6 Cohesion (LCOM4): LCOM4 cohesion is syntactic — it infers connectivity from which methods touch which fields/methods by name, not from real runtime behaviour or intent.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement. Its critique rows are drawn from a closed category vocabulary and each row means the same thing in every run, so two scans can be compared row by row; the SET that fires is still a sample, and does not repeat exactly. Measured on one frozen input, six scans at one engine SHA: 2-5 critique rows per scan, 8 distinct rows across the six, 3 of those 8 seen in only one scan. So a D19 row is evidence about the documentation, but a COUNT of D19 rows is not a quantity — never read a change in it as an improvement or a regression.
D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
D26 Project Cohesion: Project focus is sized from members/namespaces per project — a project that is broad by deliberate design reads the same as one that has sprawled.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
AC1 Text alternatives: Alt-text is detected structurally — the scan sees that an alternative EXISTS, not whether it meaningfully describes the image, and decorative-vs-missing is judged by attribute shape; runtime-injected images and a non-role=img decorative svg are out of scope. This is accessibility readiness, never a WCAG conformance claim.
AC5 ARIA correctness: ARIA correctness is checked against the static role/attribute shape — roles/attributes set dynamically aren't seen, a valid role says nothing about whether it matches the element's real behaviour, and required-state checks are suppressed when a JSX spread could supply them. The two-branch toggle check (a control whose state is conveyed only by which of two mutually exclusive branches renders) reads CONDITIONALS THAT ARE ATTRIBUTES — Vue v-if/v-else/v-show and Alpine x-if/x-show — so the same toggle written as a Svelte {#if} block or a JSX ternary is control flow the markup model never projects as a branch and is not seen at all.
AC6 Visual & motion safety: Contrast and motion safety are PARTIAL by construction — literal colours (hex/rgb/hsl/named) in inline styles, in-repo <style> blocks, in-repo .css files, var() tokens, Tailwind neutral utilities and CSS-in-JS top-level declarations are read (same-rule/same-element colour+background pairs only); computed/runtime/theme colour, external-CDN stylesheets, CSS-in-JS dynamic (${…}) and nested-selector colours, cross-element pairs and image contrast stay out of reach, so a clean result is bounded by what the static CSS itself shows.
AC7 A11y enforcement: Enforcement is scored from in-repo config/CI evidence only — an a11y gate enforced in external tooling with no in-repo trace can't be credited, and a configured linter is presence, not proof the rules actually run or block a merge.
AX10 Code composition: Role is inferred from namespace/folder convention, not semantics — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.
The LLM boundary
LLM-set scores this run (3): D19, D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score; each names its own sample and method on its card. They are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.
What it measures: How tangled the control flow is — methods with many branches are hard to test and change.
Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.
+ 29 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Bring the 36 bodies over 15 down to 15 or less in Cyclomatic Complexity — start with probe.probe (cyclomatic 332), probe.app (cyclomatic 277), probe.frame (cyclomatic 125). — This score is capped by its worst body, so a finding fixed alone moves it by almost nothing — the next one down takes its place. Refactoring these 36 together lifts Cyclomatic Complexity from 2.0 to about 10.0/10, projected with the scoring formula itself and assuming each lands exactly at 15.
Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: How hard the code is for a person to follow, beyond raw branching.
Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.
+ 35 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Bring the 44 bodies over 15 down to 15 or less in Cognitive Complexity — start with probe.probe (cognitive 412), probe.app (cognitive 345), probe.frame (cognitive 152). — This score is capped by its worst body, so a finding fixed alone moves it by almost nothing — the next one down takes its place. Refactoring these 44 together lifts Cognitive Complexity from 2.0 to about 10.0/10, projected with the scoring formula itself and assuming each lands exactly at 15.
Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.
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D3 · God Classes7.6 / 10Strong✓ Tool-verified
What it measures: Over-large classes that try to do too much ("god classes").
Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.
Resolve the 2 FileTooLong finding(s) in God Classes — start with probe.mjs, assets.mjs. — One of this dimension's main actionable groups (2 warning-level).
Resolve the 1 FunctionTooLong finding(s) in God Classes — start with draw.mjs. — One of this dimension's main actionable groups (1 warning-level).
Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Copy-pasted code that should be shared instead.
Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.
What it measures: Whether a class's methods are focused on a single responsibility.
Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.
Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.
D9 · Test Distribution0.0 / 10Critical✓ Tool-verified
What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.
Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.
What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.
Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.
What it measures: Files that change often and are also complex — the riskiest hotspots.
Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.
Resolve the 5 Hotspot finding(s) in Churn × Complexity Hotspots — start with probe.mjs, rules.mjs, draw.mjs. — One of this dimension's main actionable groups (5 warning-level).
Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether the project's documentation is clear, complete, and useful.
Method: Judged by language model at low temperature (0.0-0.1) on a deterministic doc sample (READMEs plus first 25 architecture docs), with two-pass stability filtering. Advisory, sampled.
The repository's root README (tasteskill.dev) is excellent — a visually rich landing page with branding, links to the TasteCode website and MIT license, sponsor badges, and an overview of what the project does. The skills/taste-skill/README.md is a directory README documenting that directory rather than the repository as a whole; it is well written for its scope but not the root README.
What to do
Improve Documentation Quality — currently 8.0/10. — The repository's root README (tasteskill.dev) is excellent — a visually rich landing page with branding, links to the TasteCode website and MIT license, sponsor badges, and an overview of what the project does. The skills/taste-skill/README.md is a directory README documenting that directory rather than the repository as a whole; it is well written for its scope but not the root README.
What it measures: Whether names — types, methods, variables — are clear and consistent.
Method: Judged by language model at low temperature (0.0-0.1) on a deterministic random symbol sample (fixed size, not exhaustive), with disclosed confidence band. Advisory, sampled.
What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.
Method: Secret scan via TWO gitleaks detect passes in an isolated checkout — the full git history, then a second --no-git pass over the working tree as it stands — merged and de-duplicated by (rule, file, line); each match flagged High. Both invocations are recorded in the audit trail. Exhaustive; when the tool is absent, or when its output cannot be parsed into the expected shape, the dimension is WITHHELD as an explicit measurement gap on our side — unscored and excluded from the lens, never a hedged middling score.
What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.
Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.
Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).
3 finding(s): 0 critical, 2 high, 1 medium, 0 low. 2 unpinned-GitHub-Actions row(s) are reported here but scored by D36 (supply-chain provenance), which measures that posture as `pinned_actions` — one pinning decision is charged once, not once per lens.
REDACTED
REDACTED
What to do
Resolve the 1 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED. — One of this dimension's main actionable groups (1 warning-level).
No action in Static Analysis (SAST) — all 2 REDACTED finding(s) are reported here at file:line but scored by D36 (supply-chain provenance), so none is charged to this dimension. — One of this dimension's main actionable groups (2 issue-level, 0 of them charged here).
Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.
Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.
Every significant source file has living knowledge — recently and meaningfully worked. Counted over 2 of the 3 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.
What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.
Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.
Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling. A non-source file is never a coupling PARTICIPANT either: documentation, schemas, config and data files are dropped with the rest, so a code↔docs pair — a command and the reference page that restates it — is not reported however strongly the two co-change; nor is coupling that runs THROUGH a build step or config file.
No strong hidden change-coupling between production files.
✓ On the Gold path — maintain.
Detailed fixes: d35_recommendation.md.
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Frontend & cross-cutting dimensions
R = React/JS · M = Maturity · P = Readiness.
AC1 · Text alternatives1.0 / 10Critical✓ Tool-verified
Other · Accessibility — Whether non-text content carries a text alternative — img/area/input[type=image] have alt, a meaningful svg has a title or aria-label, video has a captions track, and object/embed/canvas have a name or fallback content. Static markup readiness, not a WCAG conformance claim.
Method: Static markup-model scan: every img/area/input[type=image] checked for alt, svg[role=img] for a title/aria-label, video for a captions <track>. Components skipped, spreads suppressed. Deterministic, hard fact per element.
Coverage: Population: image/media elements — img, area, input[type=image], svg, video, object, embed, canvas — across the PARSED MARKUP files only (.html/.htm/.cshtml/.razor/.vue/.svelte/.jsx/.tsx); components, hidden subtrees and dynamic-attribute elements are skipped. Markup built in script — tagged-template (html`…`) UIs and hyperscript DOM factories — is NOT read by any producer, so it contributes no element to this population; where such a frontend is present the card discloses it as an analyzer gap rather than scoring around it.
An image with no alt (and no aria-label/aria-labelledby) is unreadable to assistive tech. Add alt — alt="" if it's purely decorative. (×2) — skills/taste-skill/scripts/inspect.mjs:110, skills/taste-skill/scripts/scenes.mjs:57
What to do
Add a text alternative — alt on images (alt="" for purely decorative ones), a title or aria-label on meaningful svg, an aria-label or inner fallback content on canvas, and a captions <track> on video.
Other · Accessibility — Whether ARIA is used correctly — valid non-abstract roles, the ARIA state a role requires, valid (non-misspelled) aria-* attribute names, in-enum values for token-typed aria-* attributes, and no aria-hidden on (or wrapping) a focusable element. Static markup readiness, not a WCAG conformance claim.
Method: Static markup-model scan: role values checked against the WAI-ARIA role set (abstract/invalid flagged), required ARIA state for a role, and aria-hidden on a focusable element. Deterministic, role/attribute level.
Coverage: Population: elements in the PARSED MARKUP files (.html/.htm/.cshtml/.razor/.vue/.svelte/.jsx/.tsx) that carry a role or an aria-* attribute; roles and token values are checked against the ARIA enums exhaustively within that set. An expression-valued (dynamic) role or aria-* value is skipped rather than guessed, and markup built in script — tagged-template (html`…`) UIs and hyperscript DOM factories — is not read at all.
Other · Accessibility — Whether focus outlines aren't removed without a replacement, motion respects prefers-reduced-motion, and literal CSS colour pairs meet contrast — PARTIAL: inline styles, in-repo <style> blocks, in-repo .css files, var() tokens, Tailwind neutral utilities and CSS-in-JS literals are read (hex/rgb/hsl/named), never computed/runtime/external-CDN colour. Static markup readiness, not a WCAG conformance claim.
Method: Static markup/CSS scan: inline outline:none/0, literal inline colour/background contrast against the 4.5:1 AA floor, and <style>-block animation without a prefers-reduced-motion guard. Deterministic but PARTIAL — only inline styles and in-repo CSS literals are visible.
Coverage: Population: styled elements in the PARSED MARKUP files (.html/.htm/.cshtml/.razor/.vue/.svelte/.jsx/.tsx), plus in-repo <style> blocks, in-repo .css files and CSS-in-JS literals. Colour contrast is computed from LITERAL colour pairs only (hex/rgb/hsl/named, including var() tokens and Tailwind neutral utilities) — computed, runtime-themed and external-CDN colour is never resolved, so this is a partial read of contrast by construction. Markup built in script — tagged-template (html`…`) UIs and hyperscript DOM factories — is not read at all.
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AC7 · A11y enforcement4.0 / 10Weak✓ Tool-verified
Other · Accessibility — Whether accessibility is ENFORCED in the toolchain — an accessibility checker configured over the markup (an a11y lint rule set, e.g. eslint-plugin-jsx-a11y or vuejs-accessibility where the project lints JavaScript) and an automated accessibility assertion wired into tests or CI (axe/pa11y/Lighthouse or an equivalent) — on the Documented→Verified→Prevented ladder.
Method: Repo config/CI scan: an accessibility checker configured over the markup (an a11y lint rule set such as eslint-plugin-jsx-a11y / vuejs-accessibility where JavaScript is linted) and an automated accessibility assertion in tests or CI (axe/pa11y/Lighthouse or equivalent), graded on the Documented→Verified→Prevented rungs. Deterministic, presence/rung detection.
Coverage: Population: the repository's own tooling configuration — lint config, test and CI files — NOT the markup. It is read for a configured accessibility checker and an automated accessibility assertion (axe/pa11y/Lighthouse, or a native-toolkit equivalent), and it credits an INVOCATION, never a mention: a licence filename, an import comment or a doc reference earns no rung. Enforcement configured entirely outside the repository leaves no evidence here and cannot be credited.
No accessibility enforcement found — no automated accessibility check runs over your pages. Add an accessibility checker (axe-core, pa11y or Lighthouse) over your HTML in CI and fail the build on new violations. What was searched, so you can tell an absence from a miss: the 4 markup file(s) this pass actually assessed, the linter configuration checked in beside them, and this repository's test and CI files — matched by name against the accessibility checkers this dimension carries. An audit run outside the repository, a hosted scanner, or a check whose name is not one of those, is not seen here.
What to do
Enforce accessibility over your pages: run an accessibility checker (axe-core, pa11y or Lighthouse) against your HTML in CI and fail the build on new violations — these run as standalone tools without adding a package manifest.
Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified. How each file's role is decided, because the split is only as good as that: a generated name or a build-output tree makes it Generated, a test project makes it Test, and otherwise the file's NAMESPACE and PATH words are matched against fixed vocabularies in a fixed ORDER — domain, then infrastructure, then application — so a file whose words hit two layers is counted under the earlier one. A production file matching none of them counts as application, so that share reads 'application or unclassified' rather than a measured application layer. Roles come from naming convention, never from what the code does. On this repository the split was taken from the source tree on disk rather than from a loaded .NET workspace, so a file's role is decided by its PATH segments alone — no declared namespace was available to add to the evidence — and generated output is excluded from the census entirely rather than counted as a generated share.
Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.
Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.
What to do
The domain core is a small share of production code, but most of the rest matched no layer vocabulary at all — so this is not yet an anemic-domain finding. The namespace/path convention could not place that code, which makes the composition above a statement about the naming, not about the design. Name the layers (or check that the repository's conventions differ from the ones this check knows) before reading a thin domain into it.
Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).
Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.
Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.
Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.
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AX8 · Test isolation10.0 / 10Exemplary✓ Tool-verified
Other · Architecture — Whether production projects stay free of references to test projects — tests may depend on production, never the reverse.
Method: Csproj graph: each production project checked for references to test projects (identified by test-framework presence, not name). Zero violations is clean. Deterministic.
Other · Code Health — Unreviewed-generation residue in this repository's JavaScript/TypeScript: functions whose whole body still throws a "not implemented" error, and placeholder text (lorem ipsum, changeme/replace_me…) left in strings and JSX of non-test, non-generated code. Scored as a quality signature, never as a claim about authorship.
Method: Roslyn syntax scan: NotImplementedException throws and placeholder string literals in non-test, non-generated shipped code. Deterministic, code-shape signature.
Other · Code Health — Unfinished work detected by code SHAPE, not keywords, in this repository's JavaScript/TypeScript: functions that only throw a "not implemented" error, functions that take inputs and return a constant or do nothing, async functions that never await, dead `if (false)` branches, and skeleton classes most of whose methods are holes.
Method: Roslyn syntax scan: incompleteness by code shape (constant-returning methods, async-never-await, #if false branches, guards that return what the code already falls through to, tests an earlier guard already decided, comparisons against NaN, skeleton types), not keyword-gated. Deterministic, code-shape heuristic.
Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.
Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.
What to do
Explain in the README how to run the tests. Add a section called Testing to the README in the repository's top folder, saying how to run the test suite.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.
Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.
No Architecture Decision Records found — no conventional ADR directory, no numbered `NNNN-title` documents in any markup this check reads, and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
What to do
Record your significant design decisions. Write one short document per decision, giving its date, the situation, the decision and its consequences, and keep them together with your other design documents. A docs/adr folder with each file named by number and title is the easiest place to find them.
Maturity · Maturity — Whether the repo is organised deliberately — src/test separation and consistent project naming.
Method: Filesystem scan: src/test folder separation and namespace-prefix consistency (majority RootNamespace agreement). Exhaustive across projects, deterministic.
Production code isn't grouped under a src/ folder — it's spread across several top-level directories, so there's no one place that says 'this is the product'.
What to do
Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.
Maturity · Maturity — Whether the README actually describes the code that exists (LLM-judged, advisory).
Method: Judged by language model at low temperature: README accuracy versus actual projects, within a disclosed tolerance. Advisory, not a measured number.
Do you agree with this assessment?
P1 · CI/CD gates6.5 / 10Adequate✓ Tool-verified
Readiness · Readiness — Whether an automated pipeline builds and tests every change.
Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.
A CI pipeline exists but no build step was matched — changes may merge without the build ever running. A build step may be invoked directly as a command, or declared as a task that a runner named in the pipeline resolves.
What to do
Run the test suite in CI via an explicit runner step (`npm test` for the toolchain this pipeline already uses) and gate merges on it.
Add an explicit build step to your CI pipeline — your stack's own build command, or, if the pipeline delegates to a task runner, a build task that runner executes in CI — so every change is built before merge.
Do you agree with this assessment?
P2 · Observability0.0 / 10Critical✓ Tool-verified
Readiness · Readiness — Whether the code is diagnosable in production — structured logging, tracing/metrics, health checks.
No logging call was found in the 3 JavaScript/TypeScript production file(s) this check read across 1 module(s). Each was searched for its ecosystem's logging libraries (JavaScript/TypeScript: pino, winston, bunyan, log4js, loglevel, consola, the NestJS Logger) and for a call on a receiver named `log`/`logger` (or ending in `Logger`/`_logger`) with a level verb. It cannot see logging through a repo-local wrapper named otherwise, or in source it did not read — this is 'no logging found by this walk', not a verdict that nothing here logs. If it is right, production issues will be hard to diagnose.
What to do
Adopt pino (or winston) and log at meaningful points in the services you run.
Consider OpenTelemetry tracing/metrics (@opentelemetry/sdk-node) and a health-check endpoint (@godaddy/terminus or a /health route) for operability.
Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.
No static application security testing detected. For this repository's stack, add CodeQL's javascript-typescript pack, `semgrep --config=p/javascript`, or eslint-plugin-security as a CI step. What was searched, so you can tell an absence from a miss: the 721 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.
What to do
Add a SAST step to CI running what this repository's stack ships: CodeQL's javascript-typescript pack, `semgrep --config=p/javascript`, or eslint-plugin-security — so a security regression fails the build instead of landing.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.
Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.
The release is automated and no gate that pauses it for a human is DECLARED IN THIS REPOSITORY'S PIPELINE FILES. What was read: every file under `.github/workflows/`, `.forgejo/workflows/`, `.gitea/workflows/`, `.azuredevops/` and `.azure-pipelines/`, plus `.gitlab-ci*` and `azure-pipelines*` — with comment text stripped, so documenting a gate is not declaring one. What would have counted: GitLab's `when: manual`, CircleCI's `type: approval`, an Azure `ManualValidation@` task or an `approvals:` block, a Jenkins `input` step, a `uses:` step naming an approval action, an `environment:` paired with `reviewers` / `required_reviewers` / `protection` / `wait-timer` / `deployment_branch_policy`, a draft-release step, a `workflow_dispatch` promotion, or a release-event gate. ★ What this cannot see, because none of it is a file: a GitHub environment whose required reviewers are configured in repo SETTINGS, a branch protection rule, or an organisation deployment policy — all of them real, enforced gates that live outside the repository. If yours is one of those, this row is wrong and nothing in the tree could have told us. Otherwise: whatever the release trigger points at is published to users unreviewed, so a mistagged or unverified commit ships and the only remedy is a follow-up release.
What to do
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
Readiness · Performance — Whether asynchronous code stays responsive — it avoids sync-over-async blocking (a .NET .Wait()/.GetAwaiter().GetResult(), a time.sleep or blocking HTTP call inside a Python coroutine, a *Sync call inside an async JavaScript function, block_on inside a Rust async fn, runBlocking inside a Kotlin suspend function, block() inside a Reactor publisher) that stalls a thread or event loop and risks deadlock, and, where the code is a reusable library on .NET, awaits with ConfigureAwait(false) so it never captures and stalls its caller's context.
Method: Production-source scan: sync-over-async blocking counted everywhere — .Wait()/.GetAwaiter().GetResult() in .NET; off .NET, read from the language model, a blocking call inside an async function (Python, TS/JS, Rust, Kotlin, Swift, Dart) or inside a Java method returning a Reactor Mono/Flux or a Scala method returning a Future or effect — and, for a .NET library with ≥5 awaits, the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.
`mkdtempSync` in `launch` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs. — skills/taste-skill/scripts/lib/cdp.mjs:77
`writeFileSync` in `claim` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs. — skills/taste-skill/scripts/lib/cdp.mjs:79
`spawnSync` in `drop` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs. — skills/taste-skill/scripts/lib/cdp.mjs:85
`rmSync` in `drop` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs. — skills/taste-skill/scripts/lib/cdp.mjs:86
`rmSync` in `close` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs. — skills/taste-skill/scripts/lib/cdp.mjs:164
`writeFileSync` in `screenshot` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs. — skills/taste-skill/scripts/lib/cdp.mjs:226
What to do
TypeScript/JavaScript: use the promise APIs (fs/promises, a promisified child_process.execFile, the async zlib/crypto functions) and await them instead of the *Sync variants.
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R1 · Type Safety0.0 / 10Critical✓ Tool-verified
React / JS · Code Health — How much of the frontend is typed TypeScript vs untyped JavaScript.
Method: Frontend file inventory: the share of typed TypeScript vs untyped JavaScript across the source tree. Deterministic, exhaustive over frontend files.
0 typed · 14 plain JS — the untyped files are skills/taste-skill/assets/base.js, REDACTED, skills/taste-skill/assets/scenes/stage.js, skills/taste-skill/scripts/assets.mjs, skills/taste-skill/scripts/draw.mjs, skills/taste-skill/scripts/inspect.mjs (+8 more).
What to do
Adopt TypeScript for the frontend: add a typecheck step to the build, then either type-check the existing JavaScript in place (`checkJs`/JSDoc types) or convert the highest-traffic modules first — no file is typed today, so this is an adoption, not a clean-up.
React / JS · Code Health — Near-exact copy-pasted blocks of substantial extent across the frontend (the D4 clone algorithm over JS/TS tokens, D-386): a block is reported only where its copies still agree on most of their own identifiers and literals, or were renamed as they were pasted but kept most of their constants, and where the copies carry enough code to stand on their own or the copied extent reaches 30 lines — so a re-implementation sharing neither names nor values, and a small pasted declaration, are both found and deliberately not reported, and a clean R10 is not a claim that nothing was copied.
Method: Near-exact copy-pasted blocks of substantial extent across the frontend (the D4 clone algorithm run over JS/TS tokens). Masking finds the candidates; a block is reported when its copies still agree on most of their own identifiers and literals, or when a renamed copy still agrees on most of its constants, AND the copies carry enough code to stand on their own — or when the copied extent reaches 30 lines. So a re-implementation sharing neither names nor values, and a small pasted declaration, are deliberately not counted. Deterministic.
skills/taste-skill/scripts/draw.mjs:98 · skills/taste-skill/scripts/lib/app-draw.mjs:39 — the two spans are one implementation copied and then locally edited — 646 tokens are still identical, in the same order in both files, with only local edits between them. The copies have already begun to drift, which is this row's finding: an edit made to one and not the other changes behaviour silently. Diff the two spans first to learn what genuinely differs, then extract the shared core into one module both sites use, passing the differences in as parameters — or, if one copy exists only because the other could not be imported from its context, make one of them the single source the other is generated or re-exported from. If one copy is no longer reachable, delete it rather than letting it shadow the live one. — skills/taste-skill/scripts/draw.mjs:98
skills/taste-skill/scripts/inspect.mjs:44 · skills/taste-skill/scripts/scenes.mjs:28 — the 2 copies are spread across 2 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — skills/taste-skill/scripts/inspect.mjs:44
skills/taste-skill/scripts/draw.mjs:302 · skills/taste-skill/scripts/draw.mjs:308 — the two spans are one implementation copied and then locally edited — 87 tokens are still identical, in the same order in both spans, with only local edits between them. The copies have already begun to drift, which is this row's finding: an edit made to one and not the other changes behaviour silently. Diff the two spans first to learn what genuinely differs, then extract the shared core into one module both sites use, passing the differences in as parameters — or, if one copy exists only because the other could not be imported from its context, make one of them the single source the other is generated or re-exported from. If one copy is no longer reachable, delete it rather than letting it shadow the live one. — skills/taste-skill/scripts/draw.mjs:302
skills/taste-skill/scripts/inspect.mjs:56 · skills/taste-skill/scripts/scenes.mjs:40 — the 2 copies are spread across 2 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — skills/taste-skill/scripts/inspect.mjs:56
skills/taste-skill/scripts/lib/probe.mjs:875 · skills/taste-skill/scripts/lib/probe.mjs:891 — all 2 copies are in the same file, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — skills/taste-skill/scripts/lib/probe.mjs:875
What to do
Act on each finding's own remediation rather than one rule: the move depends on what recurs. Where the copies are executable blocks, give the shared part one home and call it from each site; where they are declarations, a listing, a specialisation already delegating to its base, or one shape repeated per entity, there is no call site and the move is a shared type, a generated set or a factory — sometimes there is nothing to extract.
React / JS · Code Health — Per-function cyclomatic/cognitive complexity from the token-level function scanner (D-386) — real branching, not a regex heuristic.
Method: Per-function cyclomatic/cognitive complexity from a token-level function scanner (real branching, not a regex heuristic), computed over every frontend function. Deterministic.
probe has cyclomatic complexity 251 and cognitive complexity 348; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/lib/probe.mjs:5
app has cyclomatic complexity 224 and cognitive complexity 326; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/lib/probe.mjs:682
judge has cyclomatic complexity 87 and cognitive complexity 93; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/lib/rules.mjs:24
frame has cyclomatic complexity 86 and cognitive complexity 149; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/lib/probe.mjs:469
search has cyclomatic complexity 61 and cognitive complexity 121; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/assets.mjs:592
layout has cyclomatic complexity 61 and cognitive complexity 107; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/lib/probe.mjs:560
render has cyclomatic complexity 55 and cognitive complexity 94; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/draw.mjs:455
judgeApp has cyclomatic complexity 55 and cognitive complexity 54; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive sits below cyclomatic here, so much of the count is breadth — arms side by side rather than stacked — and splitting per arm would leave a function per arm; group the work between the checks into named steps instead. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/lib/rules.mjs:203
judgeLayout has cyclomatic complexity 45 and cognitive complexity 63; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/lib/rules.mjs:141
getVideo has cyclomatic complexity 43 and cognitive complexity 53; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/assets.mjs:773
render has cyclomatic complexity 40 and cognitive complexity 62; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/lib/app-draw.mjs:133
getOne has cyclomatic complexity 38 and cognitive complexity 43; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/assets.mjs:715
(anonymous) has cyclomatic complexity 32 and cognitive complexity 36; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/lint.mjs:74
dims has cyclomatic complexity 25 and cognitive complexity 33; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/assets.mjs:201
probe has cyclomatic complexity 25 and cognitive complexity 31; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/assets.mjs:243
xPicks has cyclomatic complexity 21 and cognitive complexity 29; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — REDACTED:65
adjustments has cyclomatic complexity 20 and cognitive complexity 20; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/draw.mjs:381
fromAic has cyclomatic complexity 20 and cognitive complexity 18; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive sits below cyclomatic here, so much of the count is breadth — arms side by side rather than stacked — and splitting per arm would leave a function per arm; group the work between the checks into named steps instead. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/assets.mjs:436
run has cyclomatic complexity 19 and cognitive complexity 28; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — skills/taste-skill/scripts/scenes.mjs:67
(anonymous) has cyclomatic complexity 19 and cognitive complexity 19; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes. — REDACTED:509
What to do
Break down the listed branch-heavy functions; aim P95 cyclomatic ≤ 5.
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R3 · Large Files6.7 / 10Adequate✓ Tool-verified
React / JS · Code Health — How many source files exceed the large-file threshold.
Method: Components/modules exceeding the large-file threshold, counted exhaustively across the frontend source tree. Deterministic.
REDACTED has 616 significant lines (blank lines excluded), over the 400-line bar, and contains logic — a file this long is usually several responsibilities in one module. — REDACTED:1
What to do
Split each oversized file along the responsibilities already in it, into smaller focused modules in the same package.
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R4 · Test Coverage0.8 / 10Critical✓ Tool-verified
React / JS · Readiness — Static test reachability (D-386): the share of production files reachable from any test via the import graph — measured without running anything.
Method: Static test reachability: the share of production files reachable from any test via the import graph — measured without running anything. Deterministic.
No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one. (×11) — skills/taste-skill/scripts/lib/probe.mjs:1, skills/taste-skill/scripts/assets.mjs:1, REDACTED:1, …
What to do
Add tests that import the unreached modules (directly or through their public entry).
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R7 · Dead Code9.9 / 10Exemplary✓ Tool-verified
React / JS · Code Health — Files unreachable from every application/tooling/test entry point, and exports nothing imports (module-graph reachability, D-386).
Method: Dead code: files unreachable from every application/tooling/test entry point plus exports nothing imports, via module-graph reachability. Deterministic, exhaustive over the import graph.
Nothing imports this binding — it is safe to review for removal. (×2) — skills/taste-skill/scripts/lib/probe.mjs:895, skills/taste-skill/scripts/lib/rules.mjs:243
What to do
Delete the dead files and unused exports — every line is maintenance cost and rebuild-estimate inflation with zero runtime value.
React / JS · Architecture — Import cycles in the module graph (D-386) — files that can only be understood and changed together.
Method: Import cycles in the module graph, detected exhaustively over JS/TS imports (the same cycle detection as the .NET coupling dimension). Deterministic.
Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.
Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.
Other · Code Health — Whether any branch is dead by construction — a switch arm whose label can never equal a case-normalised subject, or an `else if` whose predicate the arm above has already swallowed.
Method: Roslyn syntax + semantics: switch labels compared against the subject's own case normaliser, and if/else-if chains checked for a literal an earlier arm's containment test already swallows. Deterministic, provable per finding. Advisory.
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X13 · Undrained process stream10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a child process that has BOTH standard streams redirected drains both — reading one to the end while the other is never read deadlocks once the child fills the unread pipe.
Method: Roslyn syntax + semantics: ProcessStartInfo launches with both streams redirected, checked for a drain of each stream across the enclosing type. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `spawn` imported from `child_process` whose stdout and stderr are both pipes (no options, no `stdio`, or `stdio` of `'pipe'`), bound to a local that never leaves its scope, where exactly one of the two streams is read, the other never, and the child’s `close`/`exit` (or the read stream’s end) is awaited; a shell redirect in the call’s arguments or a `kill` of the child suppresses it. The same rule reads Python’s `subprocess.Popen`, Dart’s `Process.start`, Ruby’s `Open3.popen3`, and Scala’s JDK process starts (`new ProcessBuilder(…).start()` with no `redirectErrorStream`/`redirectError`/`redirectOutput`/`inheritIO`, `Runtime.getRuntime.exec`) where one of `getInputStream`/`getErrorStream` is read and the other never while `waitFor()` is called or the read stream is read to its end. Deterministic, provable per finding. Advisory.
Other · Security — Whether a hand-rolled public/private IP check can be walked past — a method that unwraps IPv4-mapped IPv6 but returns the opposite verdict for the same host written as IPv4-compatible, 6to4 or NAT64.
Method: Roslyn syntax + semantics: methods that unwrap IPv4-mapped IPv6 and hand-roll IPv4 range carve-outs, checked for whether the IPv6 branch also accounts for the IPv4-compatible, 6to4 and NAT64 embeddings. Deterministic, provable per finding. Advisory.
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X15 · Unvalidated length from an untrusted reader10.0 / 10Exemplary○ Nothing flagged
Other · Security — Whether a length read out of the stream being parsed is bounded before it is allocated or read — an unchecked count taken from the input lets the input choose the allocation.
Method: Roslyn syntax + semantics: integer lengths read from a BinaryReader and spent on a bulk read or an array allocation, checked for any comparison or bounding call on the value anywhere in the method. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a loop that shortens a string until it fits a length budget has a floor — one with none grinds the value down to the empty string, or past it into a negative-length `Substring`.
Method: Roslyn syntax + semantics: while/do loops whose body's only effect on a string is to drop its last character, checked for whether anything — a direct comparison on the length, a body guard, a break — bounds that length below. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `while`/`do` loop whose body’s one assignment to a value is `x = x.slice(0, -1)` or `x = x.slice|substring|substr(0, x.length - 1)`, driven by a condition that reads `x.length` only as a term of a larger expression — never compared directly, never tested for truthiness, and with no other read of `x` — and whose body has no `break`, `return`, `throw` or `if` naming `x`. Deterministic, provable per finding. Advisory.
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X17 · Uncapped recursion over a caller-supplied document10.0 / 10Exemplary○ Nothing flagged
Other · Security — Whether a walk that recurses through a JSON/XML tree handed in by its caller bounds how deep it will go — an uncapped walk lets the document's nesting choose the stack depth, and the resulting StackOverflowException cannot be caught.
Method: Roslyn syntax + semantics: methods that take a JSON/XML document node and call themselves with a child of it, reachable from an externally-callable member of the same type that accepts a document, checked for any depth parameter, descent counter or threaded arithmetic anywhere in the walk. On a repository with no .NET source it reads TypeScript off the engine’s own token stream (test, vendored, generated and minified paths and `.d.ts` not) with the same rule: a function or method with a parameter typed as a document value — `unknown`, `any`, `object`, `Record<string, unknown|any>`, a JSON alias (`JsonValue`, `JSONObject`, …) or a DOM node global the file does not rebind — that calls itself (bare, or through `this` for a method, or hands itself to a call over the value as in `value.map(walk)`) with something it took out of that value and never through an ancestor accessor such as `closest()` or `parentElement`, that is exported or reached from an exported function (a public method of the same exported class) taking such a value, and that names no depth, level, nesting, recursion, remaining or budget anywhere and threads no `+`/`-` arithmetic through a self-call. Plain JavaScript is not read: with no annotation nothing tells a parsed document from a tree the code built itself. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a type's disposal matches what it OWNS — releasing what it created, leaving alone what it was handed, and not declaring a finalizer for state that has nothing unmanaged to finalize.
Method: Roslyn syntax + semantics: every assignment to a disposable field is read to decide whether the type CREATED the value or was handed it, and the type's disposal is checked against that answer — an injected interface it disposes, a value it constructed and never releases, a finalizer on a type holding nothing unmanaged, and a disposable local whose every reference is a plain member read. A value handed to a container that disposes its contents (a parent control's `Controls` collection, a component `IContainer`) is released by that container and is not reported; generated code is out of population. On a repository with no .NET source the same ownership questions are read in JavaScript/TypeScript off the engine’s own token stream (test, vendored, generated and minified paths not): a class declaring `dispose()`, `[Symbol.dispose]()` or `[Symbol.asyncDispose]()` that disposes a field it was handed through a constructor parameter typed as a repository interface or resolved by a dependency-injection container; that assigns a field only ever from `new X(…)` of a disposable class and neither releases it anywhere in the class nor names it in its disposal member or a method that member calls, nor hands it to anything else; and a `const`/`let` local built from literals only whose every reference opens a statement operating on a non-release member of it. A class is disposable when every repository declaration of its name declares or inherits a disposal member, or when it is a documented library disposable (`vscode` EventEmitter, CancellationTokenSource and Disposable; three.js geometries, materials, textures, render targets, renderers, controls and composers). The finalizer arm has no JavaScript counterpart: a class cannot declare one. Dart is read for the owned-and-never-released arm: a Flutter `State` (or a class declaring `dispose()`/`close()`) whose library-private field is written only with direct creations of a framework controller, `FocusNode`, `StreamController` or periodic `Timer` (or a `.listen(…)` into a field declared `StreamSubscription`), which nothing in the class or its library releases (`dispose`/`close`/`cancel`) and which is never handed on except as a named argument. Ruby is read for the owned-and-never-released arm and the abandoned-local arm: a class declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose instance variable is written only with a blockless core descriptor creation (`File.open`/`new`, `Tempfile`, `Dir.open`, `IO.popen`, the `socket` and `openssl` socket classes) that no method of the class closes and that is never handed on (passed, returned, stored, exposed by `attr_reader`, delegated) — a class whose superclass or mixin lies outside the repository is not judged — and a blockless creation read through and dropped (`File.open(path).read`) or held in a local that is never closed, returned, passed or stored (a `&:read` block-pass, an `autoclose: false` borrow and a `fileno` hand-over are not abandonment). PHP is read for the same two arms: a class (not a trait, and not one using a trait) declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose `private` property (or a `final` class's `protected` one) is written only with a direct core `fopen`, `tmpfile`, `popen`, `proc_open`, `fsockopen`, `stream_socket_client`/`server` or `opendir` that nothing in the class closes (`fclose`, `pclose`, `closedir`, `unset`, a reset to `null`) and that is never handed on, and a handle held in a function's local, or read through as the argument of a reader, that is never closed, returned, passed, captured or stored; a `php://` stream, `curl_init`, `SplFileObject`, `PDO` and a function the repository declares under the core name are not read. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a method that temporarily changes state belonging to the whole process — the working directory, an environment variable — puts it back on EVERY path: a restore reached only when nothing throws leaks the change to the rest of the process.
Method: Roslyn syntax + semantics: method bodies that write the process working directory or an environment variable and write it back in the same body, checked for whether that restore sits in a `finally`/`catch` or only on the straight-line path. On a repository with no .NET source the same rule reads production JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not): `process.chdir`, `process.env.NAME =`/`["NAME"] =` and `delete process.env.NAME`, and Deno’s `Deno.chdir`/`Deno.env.set`/`Deno.env.delete`, paired per function body (a nested function or arrow is its own body, and module top-level code is none), where the last write puts back a local the body captured from the same global or deletes a variable the first write set, with at least one statement between them; a write in a `catch`/`finally` of that body silences it. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether async functions that make a cancellable request accept or pass on an AbortSignal (adoption curve).
Method: Roslyn scan: every async method (excluding framework-fixed overrides/Blazor handlers) checked for CancellationToken parameter presence. Deterministic, adoption percentage. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same question: every named async function that itself makes a request an AbortSignal can cancel (global `fetch`, axios and its file-local instances, ky, ofetch) counts, and it is compliant when its parameters or body name a signal or it hands one of its own parameters to the request as options; signatures a framework fixes (JSX event handlers, route and lifecycle exports, request-first handlers, `override`, `'use server'` modules, TanStack `mutationFn`) are exempt unless they take a signal. Deterministic, adoption percentage.
Other · Code Health — Whether a `when` guard is free of side effects — a guard that increments a counter or assigns while deciding whether its arm matches applies that change during PATTERN MATCHING, on an arm that may not be selected, and skips it entirely when a short-circuit to its left answers first.
Method: Roslyn syntax: `when` guards on case labels and switch-expression arms, read for a mutation (`++`/`--`/assignment) sitting in a position the guard's own `&&`/`||`/`??`/`?:`/`?.` can skip. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a method that TAKES a lock or semaphore and gives it back from a flag-guarded `finally` returns the value that flag implies — reporting success while the guard hands the primitive back admits a second caller the exclusion was there to keep out, and reporting failure while the guard keeps it leaves nothing to ever give it back.
Method: Roslyn syntax: `try` statements whose `finally` releases a synchronisation primitive under a bare local-bool guard, where the method also TOOK that same primitive before the `try`, checked for a `return` of a bool literal whose value disagrees with the flag state the method's own straight-line assignments put it in. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether the work a diagnostic log line costs is paid only when that line is wanted — C# evaluates a call's arguments BEFORE the call, so a trace/debug message joined or projected out of a collection is built in full on every pass, and then discarded by a sink the shipped configuration leaves switched off.
Method: Roslyn syntax: log calls at a diagnostic level (a `Log`-prefixed method naming Trace/Debug/Verbose, or a bare `Debug`/`Trace`/`Verbose` on a receiver named for a logger), whose argument list is read for a call whose cost scales with a sequence — a LINQ operator, a materialisation, `string.Join`, a serializer — with no enclosing level check or conditional-compilation region. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `debug`/`trace`/`verbose` call on a receiver named for a logger, or a `log`-prefixed method naming the level, whose argument calls an array operator (`map`/`filter`/`reduce`/`sort`/…), `Array.from`, `Object.keys/values/entries`, `JSON.stringify`/`util.inspect` over anything but a literal, or an array `join` — outside any arrow or function passed as an argument, which the logger calls only when the level is on — with no enclosing `if`, `&&` or `?:` whose condition names a level, a level string, or the `NODE_ENV`/`__DEV__`/`DEV` build switch. Deterministic, provable per finding. Advisory.
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X24 · Document value interpolated into markup unescaped4.2 / 10Weak✓ Tool-verified
Other · Security — Whether text read out of the document being converted is escaped before it is written into generated markup — a value the document's author chose, interpolated into an attribute the surrounding literal delimits, can close that attribute and open another.
Method: Roslyn semantic model over the whole compilation: a string-typed `Value`/`InnerText`/`InnerXml`/`Text` member declared inside `DocumentFormat.OpenXml` or `System.Xml` is a taint SOURCE, propagated through assignments, returns, arguments, tuple elements and string composition to its transitive closure, then read at interpolated-string holes that sit in a markup position the surrounding literal itself delimits. Escaper/encoder calls and enclosing validator conditions cut the flow. Flow- and container-insensitive by construction. A second arm needs no provenance at all and reports a type that CONTRADICTS ITSELF — the same expression escaped at one delimited markup hole and interpolated raw at another hole in the same markup position of the same type, which the type's own escaping proves is a defect without knowing where the value came from. On a repository with no .NET source it reads JavaScript/TypeScript off the token stream with the same rule: a DOM read of raw document text (`getAttribute`, `textContent`, `innerText`, `nodeValue`) is the source, propagated through local bindings and string composition, and judged at template-literal and concatenation holes in the same two delimited markup positions; escapers and validating conditions cut it, and documentation-site, test, vendored and minified scripts are not read. Deterministic, provable per finding. Advisory.
`labels[i]` is text this program did not author, and it is written into the text of an element through `innerHTML` with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup. — REDACTED:302
`label` is text this program did not author, and it is written into the text of an element through `innerHTML` with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup. — REDACTED:384
`r.label` is text this program did not author, and it is written into the text of an element through `innerHTML` with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup. (×2) — REDACTED:421, REDACTED:443
`pct(spent)` is text this program did not author, and it is written into a script or style context through `innerHTML` with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. A script or style context needs its own escaping (or a JSON serialiser that escapes `<`); better, pass the value through a data attribute. — REDACTED:427
`pct(spent)` is text this program did not author, and it is written into a script or style context through markup built here with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. A script or style context needs its own escaping (or a JSON serialiser that escapes `<`); better, pass the value through a data attribute. — REDACTED:428
`pct(r.spent-r.planned)` is text this program did not author, and it is written into a script or style context through markup built here with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. A script or style context needs its own escaping (or a JSON serialiser that escapes `<`); better, pass the value through a data attribute. — REDACTED:429
`w` is text this program did not author, and it is written into the text of an element through markup built here with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup. — skills/taste-skill/assets/scenes/stage.js:106
`s` is text this program did not author, and it is written into a URL attribute through markup built here with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup. (×2) — skills/taste-skill/scripts/inspect.mjs:110, skills/taste-skill/scripts/scenes.mjs:57
What to do
Each finding names the expression, the attribute it lands in and the line. Confirm the value's origin from the read this analyzer traced, then escape it at the sink or validate it against the shape the attribute accepts before interpolating.
Other · Code Health — Whether a value the caller is invited to supply is the value the type actually uses — a constructor parameter stored in a private field that nothing ever reads while the default it was given is spelled out a second time at the site that should have read it, a keyed lookup that falls back to a different setting than the one its key names while the same type falls back to the matching one for that same key, or a culture-sensitive parse given no format provider by a type that feeds its own settable culture to the same kind of parse elsewhere, or a number an entry point writes to standard output under the host's culture while the same entry point formats with the invariant culture elsewhere. Either way, every caller who supplies a value silently gets something else.
Method: Roslyn syntax: private instance fields of a non-partial type assigned in a constructor from one of its own parameters with a `??` fallback, checked for whether anything in the type body reads the field and whether that same fallback expression is spelled out again outside the constructor; and `??` fallbacks onto a member access from a lookup call carrying exactly one string literal, grouped by that key across the type and checked for a fallback member whose folded name disagrees with the key while a sibling site for the same key agrees with it. On a repository with no .NET source the first two arms read JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `#x`, `private` or `private` parameter-property instance field filled in the constructor from a parameter (or one member of one) through `??`/`||` or a parameter default, never read anywhere in the file by name, whose constructed default is spelled again in the class body; and `lookup("key") ?? s.member` grouped by key per class, or per module outside every class. The culture arm has no JavaScript counterpart: its parses take no locale. Deterministic, provable per finding. Advisory.
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X28 · Index access outside its own emptiness guard10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a condition that tests a value for emptiness indexes that same value only where the test holds — an `||` written one parenthesis too far to the left leaves an index access outside the guard beside it, so the empty case the guard exists to anticipate reaches the index and throws.
Method: Roslyn syntax only, no semantic model: the OUTERMOST `&&`/`||` of every boolean condition, read for a symbol the condition tests for emptiness (`string.IsNullOrEmpty`/`IsNullOrWhiteSpace`, a `Length`/`Count` comparison against a literal, `Any()`, a `Length`/`Count` pattern, or a comparison against `""`) and ALSO indexes. Each `symbol[...]` access is placed by a boolean-reachability walk from the access up to the outermost connective: an access is COVERED when some enclosing step has it in the right operand and the left operand, under the truth value that step forces, proves the symbol non-empty — a recursion over `&&`/`||` whose true- and false-directions are asymmetric. A finding needs BOTH an uncovered access and a covered one on the same symbol in the same condition, which is the agreeing twin that separates a misplaced parenthesis from an unrelated length test. Bare index accesses with no emptiness test in the condition are neither counted nor reported; a non-identifier receiver and a lambda nested inside the condition are outside the population. Deterministic, provable per finding. Advisory.
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X29 · Per-element action decided by a fixed element10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a decision taken once per element is taken ABOUT that element — a test inside a counted loop that reads a fixed subscript of the very collection its guarded statement indexes by the loop variable applies element zero's answer to all of them, so the elements that differ from it are all handled wrongly, and in the same direction.
Method: Roslyn syntax only, no semantic model: every `for` statement declaring exactly ONE loop variable, and every `if` inside its body that is not under a nested loop or a lambda. A site enters the population when the `if`’s condition never mentions the loop variable while the statement it guards indexes some collection by that variable ALONE (`c[i]`; `c[i + 1]` and `c[i, j]` are outside it). A finding additionally needs the AGREEING TWIN at the same-collection grain: the condition must read THAT SAME collection at a subscript that does not move — written into the condition, or reached through a local declared BEFORE the loop, so an alias bound inside the body is not followed. Both collection expressions must be simple identifiers. On a repository with no .NET source the same rule reads JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `for (let|var|const x = …; …; …)` with one declarator and a braced body, an alias followed only when it is declared before the loop in a block that encloses it and never assigned inside the loop. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.
Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.
An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it. (×20) — REDACTED:100, skills/taste-skill/assets/scenes/stage.js:125, skills/taste-skill/scripts/lint.mjs:16, …
`.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it. (×18) — skills/taste-skill/assets/scenes/stage.js:114, skills/taste-skill/scripts/scenes.mjs:58, skills/taste-skill/scripts/scenes.mjs:70, …
`catch` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter. (×2) — skills/taste-skill/scripts/lint.mjs:25, skills/taste-skill/scripts/lib/cdp.mjs:52
What to do
Swallowed exception (empty catch)
Do you agree with this assessment?
X30 · Support guard that admits what it rejects10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a guard written as a NEGATED `||` says what its author meant — `!(a || b || x != k)` is `!a && !b && x == k` by De Morgan, so a bail-out that mixes capabilities the code needs with a fault it refuses turns inside out: it fires only where the capabilities are ABSENT, and lets every value the fault term names walk straight into the body that cannot handle it.
Method: Roslyn syntax only, no semantic model: every logical-not whose operand is a parenthesised `||` chain of two or more disjuncts, flattened (a left-nested `a || b || c` read once would see `(a || b)` as one disjunct). A site enters the population on that shape alone. A finding additionally needs the disjuncts to DISAGREE in polarity: at least one bare boolean read — an identifier or member access, never an invocation, which is a predicate rather than a capability flag — and at least one `x != <constant>`, the only form that negates into an exact-value pin (`== null` negates into a looser requirement and is outside the fault set). Consistently-polarised disjunctions, all-fault or all-capability, are counted and never reported; a negated `&&` is outside the population entirely. No same-receiver gate: it was measured to cost a real defect and remove no false positive. Deterministic, provable per finding. Advisory.
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WCAG coverage — what static analysis assessed
Statically assessed 6 of 55 WCAG 2.2 Level A/AA success criteria (11%; ≈12% of the 50 WCAG 2.1 AA criteria for EN 301 549). The other 49 require runtime or manual evaluation. Partial signal only (a clean result is necessary, not sufficient; static analysis fully verifies none). This is accessibility readiness, not a conformance claim — a WCAG conformance claim requires manual evaluation (WCAG-EM 1.0).
The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.
Unscored — 2 check(s) recorded observations but carry no score
These checks ran and found something, but they do not carry a score — either by design (an advisory check reports evidence rather than grading it) or because they could not be scored here. They are excluded from the score for that reason, not because there was nothing to see.
D36 Supply-chain Provenance & Signing — 1 observation(s) recorded · The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release). Build integrity and workflow-token hygiene are reported below: they describe what the CI runs and the token it runs with, neither of which is affected by whether the pipeline ships an artifact.
X7 Silent fallback defaults — 2 observation(s) recorded · Advisory — this card reports evidence and never carries a score.
Not evidenced — 1 control(s) we could not find positive evidence for
These checks grade a working control, and the repository shows no evidence of one. That is deliberately not scored as a zero: a repository cannot show an ops runbook, a database TTL or an infrastructure-side audit log, so absence of evidence here is not evidence the control is missing. It is also not a statement that the check is irrelevant to this codebase — the thing it grades applies; we just could not see it. Excluded from the score either way.
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
Not included — 65 check(s) not relevant to this codebase
These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.
AC2 Forms & labels — No form control/button found in the parsed markup — AC2 not applicable here.
AC3 Page structure — No structural check found in the parsed markup — AC3 not applicable here.
AC4 Keyboard semantics — No interactive element found in the parsed markup — AC4 not applicable here.
AX1 Captive dependencies — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX2 Stateful singletons — Not applicable: TypeScript/JavaScript runs each process's requests on one event loop, so no two requests write a shared object at the same instant (interleaving across an await is a different defect).
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX6 Interface segregation — not applicable — JavaScript has no interface declaration, so there is no declared member list whose width this check could measure
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB1 Runtime evidence locked — no reproducible boot — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
C1 Data Protection — No personal data detected in a persisted data model — no PII-named field (email, firstName, dateOfBirth, phoneNumber, …) or stored credential on a TypeORM/MikroORM/sequelize-typescript/NestJS-Mongoose entity, a Mongoose schema, a Sequelize or Drizzle table, a Knex migration or a Prisma model — and no database or data-store client in the source either, so this repository keeps no data at rest for these controls to protect. If it does persist personal data (through a hosted backend configured outside this repository, for instance), the controls belong to wherever that data is stored.
C2 Access Controls — No access-control surface detected in the analyzed source — this repository stands up no server (no Express, Fastify, Koa, Hono, NestJS or similar app, no Next.js/SvelteKit/Nuxt server route, no edge function), creates no Supabase tables and talks to no hosted backend. Access control is therefore N/A here — a browser application or library is authorized by the server it calls, not by itself; a client-side route guard hides a page and authorizes nothing. If this codebase grows request handlers, the dimension reactivates and a default-deny posture is expected then.
C3 Audit Trail — No personal data detected in a persisted data model — no PII-named field (email, firstName, dateOfBirth, phoneNumber, …) or stored credential on a TypeORM/MikroORM/sequelize-typescript/NestJS-Mongoose entity, a Mongoose schema, a Sequelize or Drizzle table, a Knex migration or a Prisma model — and no database or data-store client in the source either, so this repository keeps no sensitive data whose changes an audit trail would record. If it does (through a hosted backend configured outside this repository, for instance), the trail belongs to wherever that data is stored.
C4 Data Retention — No personal data detected in a persisted data model — no PII-named field (email, firstName, dateOfBirth, phoneNumber, …) or stored credential on a TypeORM/MikroORM/sequelize-typescript/NestJS-Mongoose entity, a Mongoose schema, a Sequelize or Drizzle table, a Knex migration or a Prisma model — and no database or data-store client in the source either, so this repository keeps no personal data whose lifetime a retention limit would bound. If it does (through a hosted backend configured outside this repository, for instance), the limit belongs wherever that data is stored.
C5 Data-Subject Rights — No personal data detected in a persisted data model — no PII-named field (email, firstName, dateOfBirth, phoneNumber, …) or stored credential on a TypeORM/MikroORM/sequelize-typescript/NestJS-Mongoose entity, a Mongoose schema, a Sequelize or Drizzle table, a Knex migration or a Prisma model — and no database or data-store client in the source either, so this repository keeps no personal data for a data subject to erase, export or consent over. If it does (through a hosted backend configured outside this repository, for instance), the rights are served wherever that data is stored.
D10 Test Quality — No tests were found in the analyzed repository to assess for quality.
D11 Test Reliability — No test suite was found to re-run, so reliability couldn't be assessed. Two searches produced that zero and both came back empty: the classifier that reads the loaded workspace recognised no suite it could run, and a walk of the source on disk — which covers the JS/TS `*.test.*` and `*.spec.*` conventions and probes for a Pester suite — found no test source in any other ecosystem either. Neither search reaches a suite that is missing from the loaded workspace and carries no name either walk recognises, so this is 'no suite found by those two searches', not a verdict that the repository has none.
D12 Dependency Hygiene — Dependency hygiene not measured — no supported dependency manifest was read
D14 License Compliance — No dependency manifest found — no declared dependency closure to grade for licences
D16 Bus Factor — single-maintainer repository — bus factor is not applicable
D17 Explicit Debt — explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language — this asserts nothing about how many markers the code carries. Not scored — this is a gap in the analyzer, not a finding about this repository
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
D20 ADR Quality — Repository kind not determined
D22 Internal API Consistency — No intentionally-exposed public API to evaluate for consistency.
D23 Boundary Type-Coupling — No bounded-context organisation was detected either — neither a context-shaped layout, nor 2+ sibling source directories each declaring an aggregate root, nor 2+ projects each declaring an entity of their own. Declaring this codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value — No inline comments to assess — comment value is not applicable here.
D25 ADR Conformance — no ADRs to check
D27 Navigability — D27 counts a call into the standard library or a dependency as unresolved for this repository's language (.js,.mjs), so too few call sites counted as resolved to assess navigability. Not scored: this is a gap in the analyzer, not a verdict about this repository.
D30 Dependency Vulnerabilities — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, an Elixir mix.exs/mix.lock (Hex), a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems) — not scanned yet).
D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Docker Compose, Terraform, Kubernetes/Helm, CloudFormation, ARM, Bicep, Ansible); nothing to scan.
D32 Data Compliance (PII/GDPR) — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.
D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D43 Malicious Dependencies — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, an Elixir mix.exs/mix.lock (Hex), a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems) — not scanned yet).
D44 Platform End-of-Life — Platform end-of-life not assessed — this repository declares no platform this pass reads
D5 Coupling — Not applicable — no manifest declares this repository's modules, and its source holds 1 production component(s), so there is no coupling BETWEEN modules to measure. (Its test and non-production components are not part of the shipped graph.)
D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
D8 Code Coverage — Coverage not measured
DM1 Domain Modelling — not scored — this repository shows none of the 3 signals this lens looks for
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this lens looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this lens looks for
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, and the automatic-re-run check to any GitHub-Actions workflow, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
P7 Outbound HTTP resilience — not applicable — no HTTP server, API framework or worker entry point was found in the JavaScript/TypeScript source, so there is no service whose uptime a failing dependency could take down
P8 Schema migrations — no ORM, schema-migration tool or schema auto-create was found in this repository's dependency manifests or source, so there is no database schema for this check to judge
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (lcov — `vitest --coverage`, `jest --coverage`, `bun test --coverage --coverage-reporter=lcov`, or `nyc`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures, or wire coverage collection into CI, to enable this cross-layer check
PF1 Benchmark discipline — Not applicable: no benchmark suite was found. This check searched for tinybench, mitata, benchmark.js, benny or vitest `bench(...)` calls in files that import them (or `*.bench.*` files), or one of those in a package.json, and for a `*benchmark*` script that this repository's CI runs. Benchmarks are credited as a bonus, so their absence is neither scored nor deducted.
PF2 Allocation hygiene — Not applicable: TypeScript/JavaScript runs on a garbage-collected runtime that gives a program no allocation-control idiom to choose on a hot path — no pools, stack allocation or value types — so allocation awareness is not something this code can be rated on.
R11 Import Boundaries — No recognizable feature-sliced/layered src layout — boundary rules not applicable.
R5 Dependency Freshness — no package-lock.json — dependency freshness not measured (would require an npm lockfile); JS/npm CVEs are scored in D30 (Dependency Vulnerabilities), which answers every ecosystem
R6 Tooling — no package.json in the repository — test/lint/typecheck wiring is read from package.json scripts (corroborated against CI), so this project's own toolchain isn't measured here
R8 Dependency Hygiene — Not measured — no package.json declares any dependency, so there is nothing to check imports against (imports may resolve through a host runtime rather than node).
S1 Web-Security Posture — Not assessed: 12 JavaScript/TypeScript file(s) were read for weak hashes and ciphers, key material fixed in the source, disabled TLS certificate validation and obsolete TLS versions, and none was found. That half of the dimension is clean, but it is not scored on its own: a C# repository with the same clean reading is scored on its server controls as well, or is N/A for having no web surface, and neither can be decided here. The server controls — HTTPS enforcement, HSTS, cookie flags, input validation — are NOT assessed for JavaScript/TypeScript: each is scored as an absence, an absence is only reportable over the production HTTP server, and in this ecosystem the file that opens the port is build output or a framework launcher rather than a file in the source tree. Their absence here is not a finding about this repository.
X10 Duplicated predicate — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X20 Mistyped argument guard — This check asks whether an argument guard reports an EMPTY value as a NULL one, which needs a language that throws a null-specific argument exception — .NET's ArgumentNullException, the JVM's NullPointerException, Dart's ArgumentError.notNull. This repository contains none of those languages: the ones it is written in have a single exception for a bad argument, so there is no pair of exceptions to confuse and nothing here for it to assess. Not a gap in the analyzer and not a finding about your code.
X26 Unsynchronised callback handoff — Not applicable: this check looks for a collection written by a callback on one thread while the body waiting on it touches it on another, and in this repository's languages no collection is reachable from two threads at once. TypeScript/JavaScript runs every callback on the one thread that owns its objects: a callback runs only when the body waiting on it has yielded, never alongside it, and a worker thread receives a COPY of what it is sent. A SharedArrayBuffer carries raw bytes, never an Array, Map or Set, so no collection is reachable from two threads at once. Not a gap in the analyzer and not a finding about your code.
X27 Collection changed while being enumerated — Not applicable: this check looks for a loop whose body adds to or removes from the very collection the loop is walking, invalidating the enumerator it holds, and in this repository's languages that cannot happen. JavaScript and TypeScript have no iterator that a change can invalidate: an `Array` is walked by index against its live length, and a `Map` or `Set` by the ECMAScript specification's live entry list, so a body that adds to, removes from or empties what it walks raises nothing — every loop form (`for…of`, `for…in`, `forEach`, `map`, `filter`, `reduce`, `entries()`) on every built-in collection (`Array`, `Map`, `Set`, plain objects, `URLSearchParams`, `Headers`, `FormData`) runs to completion. Such a loop can still skip an element or never end, which is a different defect and not the one this check asks about. Not a gap in the analyzer and not a finding about your code.
X32 Type resolved by simple name across every loaded assembly — This check is about how a .NET program searches the assemblies loaded into its process for a type, and this repository contains no .NET source, so there is nothing here for it to assess. Not a gap in the analyzer and not a finding about your code.
X4 Structured logging — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X5 Nullable reference types — Not applicable: this check asks whether the null-typed discipline a language offers is switched on, and how much of that the assertion operator takes back, and in this repository's languages there is no such switch and no such operator. Plain JavaScript carries no type annotations and commits no tsconfig, so it states no null-typed discipline for this check to grade: there is nothing here that switches null checking on or off, and TypeScript (or `// @ts-check`) is how a repository acquires one — advice, not a defect this card measures. Not a gap in the analyzer and not a finding about your code.
X6 Hand-rolled structured-format parsing — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X9 Subsumed condition operand — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
Appendix A — Findings (grouped)
The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.
Critical — 4 finding(s)
AC1 · Text alternatives· <img> without a text alternative · ×2
<img> without a text alternative skills/taste-skill/scripts/inspect.mjs:110— An image with no alt (and no aria-label/aria-labelledby) is unreadable to assistive tech. Add alt — alt="" if it's purely decorative.
<img> without a text alternative skills/taste-skill/scripts/scenes.mjs:57— An image with no alt (and no aria-label/aria-labelledby) is unreadable to assistive tech. Add alt — alt="" if it's purely decorative.
Swallowed exception (empty catch) REDACTED:100— An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/assets/scenes/stage.js:114— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/assets/scenes/stage.js:125— An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/scenes.mjs:58— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/scenes.mjs:70— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/scenes.mjs:82— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/scenes.mjs:94— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/lint.mjs:16— An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/inspect.mjs:39— An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/inspect.mjs:111— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/inspect.mjs:121— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/inspect.mjs:125— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/inspect.mjs:136— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/inspect.mjs:141— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/inspect.mjs:145— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/inspect.mjs:170— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/draw.mjs:112— An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/draw.mjs:113— An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/assets.mjs:164— An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/assets.mjs:250— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/assets.mjs:255— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/assets.mjs:258— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/assets.mjs:359— An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/assets.mjs:793— `.catch(() => {})` handles the rejection by doing nothing — the failure is discarded with no log and no rethrow, and the chain carries on as if the work succeeded. Log it through whatever this codebase already uses to report problems, hand it to a caller that can (`next(error)`, a returned rejection), or don't catch it.
Swallowed exception (empty catch) skills/taste-skill/scripts/assets.mjs:798— An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.
+ 13 more in this group — see findings.md.
R4 · Test Coverage· No test reaches this file · ×11
No test reaches this file skills/taste-skill/scripts/lib/probe.mjs:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file skills/taste-skill/scripts/assets.mjs:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file REDACTED:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file skills/taste-skill/scripts/draw.mjs:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file skills/taste-skill/scripts/inspect.mjs:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file skills/taste-skill/scripts/lib/rules.mjs:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file skills/taste-skill/scripts/lib/app-draw.mjs:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file skills/taste-skill/assets/scenes/stage.js:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file skills/taste-skill/scripts/scenes.mjs:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file skills/taste-skill/scripts/lint.mjs:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
No test reaches this file skills/taste-skill/assets/base.js:1— No test imports this module directly or transitively. Import reachability cannot see a test that executes a file by path instead of importing it, nor one that drives it through a running browser by navigating to a URL — if neither does, no test reaches this one.
X24 · Document value interpolated into markup unescaped· Untrusted text written into markup unescaped · ×10
Untrusted text written into markup unescaped REDACTED:302— `labels[i]` is text this program did not author, and it is written into the text of an element through `innerHTML` with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup.
Untrusted text written into markup unescaped REDACTED:384— `label` is text this program did not author, and it is written into the text of an element through `innerHTML` with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup.
Untrusted text written into markup unescaped REDACTED:421— `r.label` is text this program did not author, and it is written into the text of an element through `innerHTML` with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup.
Untrusted text written into markup unescaped REDACTED:427— `pct(spent)` is text this program did not author, and it is written into a script or style context through `innerHTML` with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. A script or style context needs its own escaping (or a JSON serialiser that escapes `<`); better, pass the value through a data attribute.
Untrusted text written into markup unescaped REDACTED:428— `pct(spent)` is text this program did not author, and it is written into a script or style context through markup built here with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. A script or style context needs its own escaping (or a JSON serialiser that escapes `<`); better, pass the value through a data attribute.
Untrusted text written into markup unescaped REDACTED:429— `pct(r.spent-r.planned)` is text this program did not author, and it is written into a script or style context through markup built here with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. A script or style context needs its own escaping (or a JSON serialiser that escapes `<`); better, pass the value through a data attribute.
Untrusted text written into markup unescaped REDACTED:443— `r.label` is text this program did not author, and it is written into the text of an element through `innerHTML` with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup.
Untrusted text written into markup unescaped skills/taste-skill/assets/scenes/stage.js:106— `w` is text this program did not author, and it is written into the text of an element through markup built here with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup.
Untrusted text written into markup unescaped skills/taste-skill/scripts/inspect.mjs:110— `s` is text this program did not author, and it is written into a URL attribute through markup built here with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup.
Untrusted text written into markup unescaped skills/taste-skill/scripts/scenes.mjs:57— `s` is text this program did not author, and it is written into a URL attribute through markup built here with nothing encoding it for that place. Whoever controls the value controls the markup: it can close the element or attribute it sits in and open a script of its own. Encode it for HTML at this site, render it through the framework's escaping output, or sanitise it if it must stay markup.
Sync-over-async blocking skills/taste-skill/scripts/lib/cdp.mjs:77— `mkdtempSync` in `launch` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs.
Sync-over-async blocking skills/taste-skill/scripts/lib/cdp.mjs:79— `writeFileSync` in `claim` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs.
Sync-over-async blocking skills/taste-skill/scripts/lib/cdp.mjs:85— `spawnSync` in `drop` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs.
Sync-over-async blocking skills/taste-skill/scripts/lib/cdp.mjs:86— `rmSync` in `drop` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs.
Sync-over-async blocking skills/taste-skill/scripts/lib/cdp.mjs:164— `rmSync` in `close` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs.
Sync-over-async blocking skills/taste-skill/scripts/lib/cdp.mjs:226— `writeFileSync` in `screenshot` blocks the event loop until it finishes — a blocking call inside async code stalls the event loop — every other request waits for as long as it runs.
Hotspot: skills/taste-skill/scripts/lib/probe.mjs skills/taste-skill/scripts/lib/probe.mjs:5— skills/taste-skill/scripts/lib/probe.mjs changed 8 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 332 in probe.probe at line 5. 4 of those changes were fix/bug commits, and the other 4 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-07-22..2026-10-20, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-22 20:38:06 +02:00' --until='2026-10-20 20:38:06 +02:00' --full-history --no-merges -- skills/taste-skill/scripts/lib/probe.mjs`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
Hotspot: skills/taste-skill/scripts/lib/rules.mjs skills/taste-skill/scripts/lib/rules.mjs:24— skills/taste-skill/scripts/lib/rules.mjs changed 10 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 96 in rules.judge at line 24. 6 of those changes were fix/bug commits, so the churn is repair rather than feature work. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-07-22..2026-10-20, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-22 20:38:06 +02:00' --until='2026-10-20 20:38:06 +02:00' --full-history --no-merges -- skills/taste-skill/scripts/lib/rules.mjs`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
Hotspot: skills/taste-skill/scripts/draw.mjs skills/taste-skill/scripts/draw.mjs:455— skills/taste-skill/scripts/draw.mjs changed 7 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 62 in draw.render at line 455. 1 of those changes was a fix/bug commit, and the other 6 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-07-22..2026-10-20, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-22 20:38:06 +02:00' --until='2026-10-20 20:38:06 +02:00' --full-history --no-merges -- skills/taste-skill/scripts/draw.mjs`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
Hotspot: REDACTED REDACTED:248— REDACTED changed 4 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 45 in charts.line at line 248. 4 of those changes were fix/bug commits, so the churn is repair rather than feature work. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-07-22..2026-10-20, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-22 20:38:06 +02:00' --until='2026-10-20 20:38:06 +02:00' --full-history --no-merges -- REDACTED`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
Hotspot: skills/taste-skill/scripts/lib/cdp.mjs skills/taste-skill/scripts/lib/cdp.mjs:65— skills/taste-skill/scripts/lib/cdp.mjs changed 4 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 19 in Browser.launch at line 65. 1 of those changes was a fix/bug commit, and the other 3 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-07-22..2026-10-20, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-22 20:38:06 +02:00' --until='2026-10-20 20:38:06 +02:00' --full-history --no-merges -- skills/taste-skill/scripts/lib/cdp.mjs`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
FileTooLong: lib/probe.mjs skills/taste-skill/scripts/lib/probe.mjs— FileTooLong — 694 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 194 over it, 1.39× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: scripts/assets.mjs skills/taste-skill/scripts/assets.mjs— FileTooLong — 668 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 168 over it, 1.34× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
Swallowed exception (caught, then discarded) skills/taste-skill/scripts/lint.mjs:25— `catch` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter.
Swallowed exception (caught, then discarded) skills/taste-skill/scripts/lib/cdp.mjs:52— `catch` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter.
AC7 · A11y enforcement· Accessibility enforcement below the top rung · ×1
Accessibility enforcement below the top rung — No accessibility enforcement found — no automated accessibility check runs over your pages. Add an accessibility checker (axe-core, pa11y or Lighthouse) over your HTML in CI and fail the build on new violations. What was searched, so you can tell an absence from a miss: the 4 markup file(s) this pass actually assessed, the linter configuration checked in beside them, and this repository's test and CI files — matched by name against the accessibility checkers this dimension carries. An audit run outside the repository, a hosted scanner, or a check whose name is not one of those, is not seen here.
probe.probe (cyclomatic 332) skills/taste-skill/scripts/lib/probe.mjs:5— probe.probe has cyclomatic complexity 332 (threshold 15). Of this number, 258 points are the body's own statements and 74 belong to 27 function items inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top. This file is where this pass's cyclomatic complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 6 of the 34 methods over the threshold — including the worst — and 775 of the 1363 points over it (57%), 4.4× the next-largest file (skills/taste-skill/scripts/lib/rules.mjs at 176). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
probe.app (cyclomatic 277) skills/taste-skill/scripts/lib/probe.mjs:682— probe.app has cyclomatic complexity 277 (threshold 15). Of this number, 230 points are the body's own statements and 47 belong to 16 function items inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top. This file is where this pass's cyclomatic complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 6 of the 34 methods over the threshold — including the worst — and 775 of the 1363 points over it (57%), 4.4× the next-largest file (skills/taste-skill/scripts/lib/rules.mjs at 176). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
probe.frame (cyclomatic 125) skills/taste-skill/scripts/lib/probe.mjs:469— probe.frame has cyclomatic complexity 125 (threshold 15). Of this number, 88 points are the body's own statements and 37 belong to 9 function items inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top. This file is where this pass's cyclomatic complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 6 of the 34 methods over the threshold — including the worst — and 775 of the 1363 points over it (57%), 4.4× the next-largest file (skills/taste-skill/scripts/lib/rules.mjs at 176). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
rules.judge (cyclomatic 96) skills/taste-skill/scripts/lib/rules.mjs:24— rules.judge has cyclomatic complexity 96 (threshold 15). Of this number, 88 points are the body's own statements and 8 belong to 7 function items inside it that branch. To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
probe.layout (cyclomatic 93) skills/taste-skill/scripts/lib/probe.mjs:560— probe.layout has cyclomatic complexity 93 (threshold 15). Of this number, 63 points are the body's own statements and 30 belong to 6 function literals inside it that branch. To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions. This file is where this pass's cyclomatic complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 6 of the 34 methods over the threshold — including the worst — and 775 of the 1363 points over it (57%), 4.4× the next-largest file (skills/taste-skill/scripts/lib/rules.mjs at 176). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
assets.search (cyclomatic 90) skills/taste-skill/scripts/assets.mjs:592— assets.search has cyclomatic complexity 90 (threshold 15). Of this number, 65 points are the body's own statements and 25 belong to 7 function items inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
rules.judgeLayout (cyclomatic 69) skills/taste-skill/scripts/lib/rules.mjs:141— rules.judgeLayout has cyclomatic complexity 69 (threshold 15). Of this number, 45 points are the body's own statements and 24 belong to 8 function items inside it that branch. To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
draw.render (cyclomatic 62) skills/taste-skill/scripts/draw.mjs:455— draw.render has cyclomatic complexity 62 (threshold 15). Of this number, 55 points are the body's own statements and 7 belong to 4 function items inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
rules.judgeApp (cyclomatic 56) skills/taste-skill/scripts/lib/rules.mjs:203— rules.judgeApp has cyclomatic complexity 56 (threshold 15). Of this number, 55 points are the body's own statements and 1 belongs to one function item inside it that branches. To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
D1 · Cyclomatic Complexity· line (cyclomatic 47) · ×1
line (cyclomatic 47) REDACTED:248— line has cyclomatic complexity 47 (threshold 15). Most of this is not in the body itself: 2 of the 47 points are its own statements and the rest belongs to 33 function items inside it that branch (draw, a function literal at line 263, a function literal at line 277, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
assets.getVideo (cyclomatic 43) skills/taste-skill/scripts/assets.mjs:773— assets.getVideo has cyclomatic complexity 43 (threshold 15). Of this number, 42 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
app-draw.render (cyclomatic 40) skills/taste-skill/scripts/lib/app-draw.mjs:133— app-draw.render has cyclomatic complexity 40 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
D1 · Cyclomatic Complexity· lane (cyclomatic 40) · ×1
lane (cyclomatic 40) REDACTED:135— lane has cyclomatic complexity 40 (threshold 15). Most of this is not in the body itself: 6 of the 40 points are its own statements and the rest belongs to 10 function items inside it that branch (a function literal at line 148, a function literal at line 139, solve, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
assets.getOne (cyclomatic 38) skills/taste-skill/scripts/assets.mjs:715— assets.getOne has cyclomatic complexity 38 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
charts.timeline (cyclomatic 34) REDACTED:489— charts.timeline has cyclomatic complexity 34 (threshold 15). Most of this is not in the body itself: 3 of the 34 points are its own statements and the rest belongs to 6 function items inside it that branch (a function literal at line 509, draw, a function literal at line 522, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
timeline.draw (cyclomatic 34) REDACTED:490— timeline.draw has cyclomatic complexity 34 (threshold 15). Most of this is not in the body itself: 12 of the 34 points are its own statements and the rest belongs to 9 function items inside it that branch (a function literal at line 509, a function literal at line 522, a function literal at line 492, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
draw.dealScenes (cyclomatic 32) skills/taste-skill/scripts/draw.mjs:267— draw.dealScenes has cyclomatic complexity 32 (threshold 15). Most of this is not in the body itself: 13 of the 32 points are its own statements and the rest belongs to 7 function items inside it that branch (fits, a function literal at line 288, a function literal at line 281, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
timeStrip.draw (cyclomatic 32) REDACTED:576— timeStrip.draw has cyclomatic complexity 32 (threshold 15). Most of this is not in the body itself: 15 of the 32 points are its own statements and the rest belongs to 5 function items inside it that branch (a function literal at line 590, a function literal at line 581, a function literal at line 578, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
draw.dealPhotos (cyclomatic 27) skills/taste-skill/scripts/draw.mjs:314— draw.dealPhotos has cyclomatic complexity 27 (threshold 15). Most of this is not in the body itself: 8 of the 27 points are its own statements and the rest belongs to 5 function literals inside it that branch (lines 320, 329, 341, …). The decisions are inside those literals, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literals' work into a named function or method at the enclosing scope and have each literal call it, then reduce whichever part then reads as the largest.
charts.diverging (cyclomatic 26) REDACTED:337— charts.diverging has cyclomatic complexity 26 (threshold 15). Most of this is not in the body itself: 10 of the 26 points are its own statements and the rest belongs to 4 function items inside it that branch (draw, a function literal at line 359, tick, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
assets.dims (cyclomatic 25) skills/taste-skill/scripts/assets.mjs:201— assets.dims has cyclomatic complexity 25 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
assets.fromArchive (cyclomatic 24) skills/taste-skill/scripts/assets.mjs:523— assets.fromArchive has cyclomatic complexity 24 (threshold 15). Of this number, 13 points are the body's own statements and 11 belong to 5 function items inside it that branch. To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.
draw.adjustments (cyclomatic 23) skills/taste-skill/scripts/draw.mjs:381— draw.adjustments has cyclomatic complexity 23 (threshold 15). Of this number, 20 points are the body's own statements and 3 belong to one function literal inside it that branches. To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
charts.xPicks (cyclomatic 22) REDACTED:65— charts.xPicks has cyclomatic complexity 22 (threshold 15). Of this number, 21 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
assets.probe (cyclomatic 22) skills/taste-skill/scripts/assets.mjs:243— assets.probe has cyclomatic complexity 22 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
probe.probe.blockOf (cyclomatic 22) skills/taste-skill/scripts/lib/probe.mjs:94— probe.probe.blockOf has cyclomatic complexity 22 (threshold 15). Of this number, 18 points are the body's own statements and 4 belong to 2 function items inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top. This file is where this pass's cyclomatic complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 6 of the 34 methods over the threshold — including the worst — and 775 of the 1363 points over it (57%), 4.4× the next-largest file (skills/taste-skill/scripts/lib/rules.mjs at 176). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
draw.sectionPool (cyclomatic 21) skills/taste-skill/scripts/draw.mjs:408— draw.sectionPool has cyclomatic complexity 21 (threshold 15). Of this number, 11 points are the body's own statements and 10 belong to 6 function literals inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
assets.fromAic (cyclomatic 20) skills/taste-skill/scripts/assets.mjs:436— assets.fromAic has cyclomatic complexity 20 (threshold 15). To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.
Browser.launch (cyclomatic 19) skills/taste-skill/scripts/lib/cdp.mjs:65— Browser.launch has cyclomatic complexity 19 (threshold 15). Most of this is not in the body itself: 7 of the 19 points are its own statements and the rest belongs to 4 function items inside it that branch (a function literal at line 116, drop, claim, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
assets.fromOpenverse (cyclomatic 18) skills/taste-skill/scripts/assets.mjs:342— assets.fromOpenverse has cyclomatic complexity 18 (threshold 15). To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.
charts.timeStrip::draw (cyclomatic 16) REDACTED:576— charts.timeStrip::draw has cyclomatic complexity 16 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
assets.pickSources (cyclomatic 16) skills/taste-skill/scripts/assets.mjs:105— assets.pickSources has cyclomatic complexity 16 (threshold 15). Of this number, 15 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
probe.layout.sections (cyclomatic 16) skills/taste-skill/scripts/lib/probe.mjs:608— probe.layout.sections has cyclomatic complexity 16 (threshold 15). Of this number, 14 points are the body's own statements and 2 belong to one function literal inside it that branches. To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages. This file is where this pass's cyclomatic complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 6 of the 34 methods over the threshold — including the worst — and 775 of the 1363 points over it (57%), 4.4× the next-largest file (skills/taste-skill/scripts/lib/rules.mjs at 176). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
scenes.run (cyclomatic 16) skills/taste-skill/scripts/scenes.mjs:67— scenes.run has cyclomatic complexity 16 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
probe.probe (cognitive 412) skills/taste-skill/scripts/lib/probe.mjs:5— probe.probe has cognitive complexity 412 (threshold 15). Drivers by points: if/else 93 (210 pts), boolean chains 120, ternaries 23 (53 pts), loops 22 (29 pts) (nesting depth added 154). Of this number, 371 points are the body's own statements and 41 belong to 27 function items inside it that branch. To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function. This file is where this pass's cognitive complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 7 of the 40 methods over the threshold — including the worst — and 991 of the 1791 points over it (55%), 4× the next-largest file (skills/taste-skill/scripts/assets.mjs at 250). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
probe.app (cognitive 345) skills/taste-skill/scripts/lib/probe.mjs:682— probe.app has cognitive complexity 345 (threshold 15). Drivers by points: if/else 72 (178 pts), boolean chains 103, loops 26 (41 pts), ternaries 13 (23 pts) (nesting depth added 131). Of this number, 313 points are the body's own statements and 32 belong to 16 function items inside it that branch. To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function. This file is where this pass's cognitive complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 7 of the 40 methods over the threshold — including the worst — and 991 of the 1791 points over it (55%), 4× the next-largest file (skills/taste-skill/scripts/assets.mjs at 250). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
probe.frame (cognitive 152) skills/taste-skill/scripts/lib/probe.mjs:469— probe.frame has cognitive complexity 152 (threshold 15). Drivers by points: if/else 32 (103 pts), boolean chains 41, loops 18 (41 pts), ternaries 2 (6 pts) (nesting depth added 98). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body. This shape REPEATS in the file: one other method here (probe.frame::paints) has the same decision points, in the same order, at the same nesting depths — so this is one pattern written twice rather than two separate problems. Splitting this body alone leaves the other exactly as it is. Where these are variations on one operation, the change that clears both is the shared one: lift the common shape into a single routine the variants call, parameterised by whatever genuinely differs between them, and keep in each method only the part that is not shared. This file is where this pass's cognitive complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 7 of the 40 methods over the threshold — including the worst — and 991 of the 1791 points over it (55%), 4× the next-largest file (skills/taste-skill/scripts/assets.mjs at 250). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
assets.search (cognitive 128) skills/taste-skill/scripts/assets.mjs:592— assets.search has cognitive complexity 128 (threshold 15). Drivers by points: ternaries 34 (95 pts), if/else 20 (40 pts), boolean chains 23, loops 6 (10 pts), error handling 1 (nesting depth added 85). To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function. This shape REPEATS in the file: one other method here (assets.search::rank) has the same decision points, in the same order, at the same nesting depths — so this is one pattern written twice rather than two separate problems. Splitting this body alone leaves the other exactly as it is. Where these are variations on one operation, the change that clears both is the shared one: lift the common shape into a single routine the variants call, parameterised by whatever genuinely differs between them, and keep in each method only the part that is not shared.
probe.layout (cognitive 121) skills/taste-skill/scripts/lib/probe.mjs:560— probe.layout has cognitive complexity 121 (threshold 15). Drivers by points: if/else 28 (55 pts), loops 19 (33 pts), boolean chains 29, ternaries 4 (nesting depth added 41). Of this number, 105 points are the body's own statements and 16 belong to 6 function literals inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body. This file is where this pass's cognitive complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 7 of the 40 methods over the threshold — including the worst — and 991 of the 1791 points over it (55%), 4× the next-largest file (skills/taste-skill/scripts/assets.mjs at 250). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
draw.render (cognitive 103) skills/taste-skill/scripts/draw.mjs:455— draw.render has cognitive complexity 103 (threshold 15). Drivers by points: if/else 26 (39 pts), ternaries 18 (39 pts), loops 7 (15 pts), boolean chains 10 (nesting depth added 42). Of this number, 95 points are the body's own statements and 8 belong to 4 function items inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
rules.judge (cognitive 100) skills/taste-skill/scripts/lib/rules.mjs:24— rules.judge has cognitive complexity 100 (threshold 15). Drivers by points: if/else 58 (61 pts), boolean chains 19, ternaries 10 (18 pts), loops 2 (nesting depth added 11). Of this number, 94 points are the body's own statements and 6 belong to 7 function items inside it that branch. To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition.
app-draw.render (cognitive 64) skills/taste-skill/scripts/lib/app-draw.mjs:133— app-draw.render has cognitive complexity 64 (threshold 15). Drivers by points: if/else 20 (27 pts), loops 7 (18 pts), ternaries 6 (12 pts), boolean chains 7 (nesting depth added 24). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
assets.getVideo (cognitive 52) skills/taste-skill/scripts/assets.mjs:773— assets.getVideo has cognitive complexity 52 (threshold 15). Drivers by points: if/else 10 (15 pts), boolean chains 14, ternaries 11 (13 pts), error handling 5 (8 pts), loops 2 (nesting depth added 10). Of this number, 51 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
rules.judgeLayout (cognitive 52) skills/taste-skill/scripts/lib/rules.mjs:141— rules.judgeLayout has cognitive complexity 52 (threshold 15). Drivers by points: if/else 24 (31 pts), boolean chains 13, ternaries 4 (8 pts) (nesting depth added 11). Of this number, 47 points are the body's own statements and 5 belong to 8 function items inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity· line (cognitive 51) · ×1
line (cognitive 51) REDACTED:248— line has cognitive complexity 51 (threshold 15). Drivers by points: boolean chains 17, if/else 11 (15 pts), ternaries 14 (15 pts), loops 1 (2 pts), other 2 (nesting depth added 6). Most of this is not in the body itself: 1 of the 51 points is its own statement and the rest belongs to 33 function items inside it that branch (draw, a function literal at line 277, a function literal at line 263, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
rules.judgeApp (cognitive 50) skills/taste-skill/scripts/lib/rules.mjs:203— rules.judgeApp has cognitive complexity 50 (threshold 15). Drivers by points: if/else 28 (31 pts), boolean chains 13, ternaries 3 (6 pts) (nesting depth added 6). Of this number, 49 points are the body's own statements and 1 belongs to one function item inside it that branches. To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition.
timeline.draw (cognitive 46) REDACTED:490— timeline.draw has cognitive complexity 46 (threshold 15). Drivers by points: ternaries 10 (19 pts), if/else 7 (12 pts), boolean chains 9, loops 4, other 2 (nesting depth added 14). Most of this is not in the body itself: 12 of the 46 points are its own statements and the rest belongs to 9 function items inside it that branch (a function literal at line 509, a function literal at line 522, a function literal at line 492, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
D2 · Cognitive Complexity· lane (cognitive 45) · ×1
lane (cognitive 45) REDACTED:135— lane has cognitive complexity 45 (threshold 15). Drivers by points: if/else 8 (15 pts), ternaries 7 (11 pts), boolean chains 10, loops 5 (8 pts), other 1 (nesting depth added 14). Most of this is not in the body itself: 6 of the 45 points are its own statements and the rest belongs to 10 function items inside it that branch (a function literal at line 139, solve, a function literal at line 148, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
charts.timeline (cognitive 41) REDACTED:489— charts.timeline has cognitive complexity 41 (threshold 15). Drivers by points: if/else 8 (13 pts), ternaries 6 (13 pts), boolean chains 11, loops 4 (nesting depth added 12). Most of this is not in the body itself: 2 of the 41 points are its own statements and the rest belongs to 6 function items inside it that branch (a function literal at line 509, draw, a function literal at line 522, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
assets.getOne (cognitive 41) skills/taste-skill/scripts/assets.mjs:715— assets.getOne has cognitive complexity 41 (threshold 15). Drivers by points: if/else 15 (18 pts), boolean chains 15, ternaries 4 (6 pts), error handling 1, loops 1 (nesting depth added 5). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.
timeStrip.draw (cognitive 38) REDACTED:576— timeStrip.draw has cognitive complexity 38 (threshold 15). Drivers by points: if/else 11 (15 pts), ternaries 12 (14 pts), boolean chains 6, loops 2, other 1 (nesting depth added 6). Most of this is not in the body itself: 15 of the 38 points are its own statements and the rest belongs to 5 function items inside it that branch (a function literal at line 590, a function literal at line 581, a function literal at line 578, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
charts.timeStrip (cognitive 35) REDACTED:571— charts.timeStrip has cognitive complexity 35 (threshold 15). Drivers by points: if/else 13 (17 pts), ternaries 7 (9 pts), boolean chains 7, loops 2 (nesting depth added 6). Most of this is not in the body itself: 3 of the 35 points are its own statements and the rest belongs to 3 function items inside it that branch (a function literal at line 590, draw, a function literal at line 581). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
assets.dims (cognitive 32) skills/taste-skill/scripts/assets.mjs:201— assets.dims has cognitive complexity 32 (threshold 15). Drivers by points: if/else 12 (23 pts), boolean chains 7, loops 1 (2 pts) (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
xPicks (cognitive 30) REDACTED:65— xPicks has cognitive complexity 30 (threshold 15). Drivers by points: if/else 8 (13 pts), ternaries 6 (10 pts), boolean chains 5, loops 2 (nesting depth added 9). Of this number, 29 points are the body's own statements and 1 belongs to 5 function literals inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
draw.dealScenes (cognitive 29) skills/taste-skill/scripts/draw.mjs:267— draw.dealScenes has cognitive complexity 29 (threshold 15). Drivers by points: boolean chains 16, if/else 6 (8 pts), ternaries 3 (4 pts), loops 1 (nesting depth added 3). Of this number, 15 points are the body's own statements and 14 belong to 7 function items inside it that branch. To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.
assets.pickSources (cognitive 28) skills/taste-skill/scripts/assets.mjs:105— assets.pickSources has cognitive complexity 28 (threshold 15). Drivers by points: ternaries 7 (16 pts), if/else 3 (7 pts), loops 2 (3 pts), boolean chains 2 (nesting depth added 14). Of this number, 27 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
assets.probe (cognitive 27) skills/taste-skill/scripts/assets.mjs:243— assets.probe has cognitive complexity 27 (threshold 15). Drivers by points: ternaries 8 (13 pts), boolean chains 6, if/else 4 (6 pts), error handling 1, loops 1 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
probe.probe.blockOf (cognitive 27) skills/taste-skill/scripts/lib/probe.mjs:94— probe.probe.blockOf has cognitive complexity 27 (threshold 15). Drivers by points: if/else 8 (15 pts), boolean chains 9, loops 2 (3 pts) (nesting depth added 8). Of this number, 24 points are the body's own statements and 3 belong to 2 function items inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body. This file is where this pass's cognitive complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 7 of the 40 methods over the threshold — including the worst — and 991 of the 1791 points over it (55%), 4× the next-largest file (skills/taste-skill/scripts/assets.mjs at 250). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
charts.diverging (cognitive 26) REDACTED:337— charts.diverging has cognitive complexity 26 (threshold 15). Drivers by points: boolean chains 11, if/else 8 (9 pts), ternaries 3 (5 pts), loops 1 (nesting depth added 3). Most of this is not in the body itself: 9 of the 26 points are its own statements and the rest belongs to 4 function items inside it that branch (draw, a function literal at line 359, marked, …). The named helpers are already separate functions; the literals' work cannot be called, reviewed or tested from outside this body. To reduce it, move the named helpers out of the body to the enclosing scope and lift each literal's work into a named function there, so each is measured, reviewed and tested on its own, and reduce whichever one then reads as the largest.
assets.getJson (cognitive 26) skills/taste-skill/scripts/assets.mjs:184— assets.getJson has cognitive complexity 26 (threshold 15). Drivers by points: if/else 5 (11 pts), ternaries 2 (6 pts), boolean chains 4, error handling 2 (4 pts), loops 1 (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
hits (cognitive 24) REDACTED:194— hits has cognitive complexity 24 (threshold 15). Drivers by points: if/else 4 (14 pts), loops 3 (6 pts), boolean chains 4 (nesting depth added 13). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
assets.fromArchive (cognitive 23) skills/taste-skill/scripts/assets.mjs:523— assets.fromArchive has cognitive complexity 23 (threshold 15). Drivers by points: boolean chains 17, if/else 3, ternaries 3. Of this number, 12 points are the body's own statements and 11 belong to 5 function items inside it that branch. To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.
draw.adjustments (cognitive 23) skills/taste-skill/scripts/draw.mjs:381— draw.adjustments has cognitive complexity 23 (threshold 15). Drivers by points: if/else 15, boolean chains 6, ternaries 1 (2 pts) (nesting depth added 1). Of this number, 20 points are the body's own statements and 3 belong to one function literal inside it that branches. To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
probe.frame::paints (cognitive 23) skills/taste-skill/scripts/lib/probe.mjs:481— probe.frame::paints has cognitive complexity 23 (threshold 15). Drivers by points: if/else 5 (12 pts), boolean chains 5, loops 2 (4 pts), ternaries 1 (2 pts) (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body. This shape REPEATS in the file: one other method here (probe.frame) has the same decision points, in the same order, at the same nesting depths — so this is one pattern written twice rather than two separate problems. Splitting this body alone leaves the other exactly as it is. Where these are variations on one operation, the change that clears both is the shared one: lift the common shape into a single routine the variants call, parameterised by whatever genuinely differs between them, and keep in each method only the part that is not shared. This file is where this pass's cognitive complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 7 of the 40 methods over the threshold — including the worst — and 991 of the 1791 points over it (55%), 4× the next-largest file (skills/taste-skill/scripts/assets.mjs at 250). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
scenes.run (cognitive 23) skills/taste-skill/scripts/scenes.mjs:67— scenes.run has cognitive complexity 23 (threshold 15). Drivers by points: ternaries 4 (9 pts), if/else 5 (7 pts), boolean chains 4, loops 2 (3 pts) (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
assets.search::rank (cognitive 22) skills/taste-skill/scripts/assets.mjs:602— assets.search::rank has cognitive complexity 22 (threshold 15). Drivers by points: ternaries 6 (21 pts), boolean chains 1 (nesting depth added 15). To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function. This shape REPEATS in the file: one other method here (assets.search) has the same decision points, in the same order, at the same nesting depths — so this is one pattern written twice rather than two separate problems. Splitting this body alone leaves the other exactly as it is. Where these are variations on one operation, the change that clears both is the shared one: lift the common shape into a single routine the variants call, parameterised by whatever genuinely differs between them, and keep in each method only the part that is not shared.
draw.dealPhotos (cognitive 22) skills/taste-skill/scripts/draw.mjs:314— draw.dealPhotos has cognitive complexity 22 (threshold 15). Drivers by points: boolean chains 11, if/else 7 (8 pts), ternaries 3 (nesting depth added 1). Most of this is not in the body itself: 8 of the 22 points are its own statements and the rest belongs to 5 function literals inside it that branch (lines 320, 329, 335, …). The decisions are inside those literals, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literals' work into a named function or method at the enclosing scope and have each literal call it, then reduce whichever part then reads as the largest.
draw.sectionPool (cognitive 22) skills/taste-skill/scripts/draw.mjs:408— draw.sectionPool has cognitive complexity 22 (threshold 15). Drivers by points: boolean chains 10, if/else 7 (9 pts), ternaries 2 (3 pts) (nesting depth added 3). Of this number, 12 points are the body's own statements and 10 belong to 6 function literals inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
notesOver (cognitive 22) REDACTED:177— notesOver has cognitive complexity 22 (threshold 15). Drivers by points: if/else 5 (10 pts), ternaries 2 (5 pts), boolean chains 3, loops 3, other 1 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
assets.fromAic (cognitive 19) skills/taste-skill/scripts/assets.mjs:436— assets.fromAic has cognitive complexity 19 (threshold 15). Drivers by points: boolean chains 13, ternaries 5, if/else 1. To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.
charts.lane.opts (cognitive 18) REDACTED:139— charts.lane.opts has cognitive complexity 18 (threshold 15). Drivers by points: ternaries 3 (7 pts), loops 3 (6 pts), if/else 1 (4 pts), boolean chains 1 (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
assets.printCredits (cognitive 17) skills/taste-skill/scripts/assets.mjs:839— assets.printCredits has cognitive complexity 17 (threshold 15). Drivers by points: ternaries 7 (10 pts), boolean chains 5, if/else 1, loops 1 (nesting depth added 3). Of this number, 10 points are the body's own statements and 7 belong to 3 function items inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
probe.layout.sections (cognitive 16) skills/taste-skill/scripts/lib/probe.mjs:608— probe.layout.sections has cognitive complexity 16 (threshold 15). Drivers by points: boolean chains 5, ternaries 5, if/else 2 (4 pts), loops 1 (2 pts) (nesting depth added 3). Of this number, 14 points are the body's own statements and 2 belong to one function literal inside it that branches. To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages. This file is where this pass's cognitive complexity CONCENTRATES: skills/taste-skill/scripts/lib/probe.mjs holds 7 of the 40 methods over the threshold — including the worst — and 991 of the 1791 points over it (55%), 4× the next-largest file (skills/taste-skill/scripts/assets.mjs at 250). No single row can show this, because each is measured only against the threshold: reducing this one file moves this dimension further than any other file in the repository.
D2 · Cognitive Complexity· plan (cognitive 16) · ×1
plan (cognitive 16) REDACTED:413— plan has cognitive complexity 16 (threshold 15). Drivers by points: ternaries 7 (14 pts), boolean chains 1, loops 1 (nesting depth added 7). Of this number, 15 points are the body's own statements and 1 belongs to 2 function items inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
FunctionTooLong: draw.render skills/taste-skill/scripts/draw.mjs:455— FunctionTooLong — render runs 122 significant lines (blank, comment-only and punctuation-only lines excluded) in one body. The bar is 100 significant lines; this is 22 over it, 1.22× the bar. This is length, not branching: a long straight-line body scores low on complexity and is still read whole to change any part of it, so the complexity numbers beside this row neither confirm nor excuse it. To reduce it, extract each cohesive step of the body — the runs of statements that work on the same values and would earn the same name — into its own named unit, and have this one call them in order.
No structured logging — No logging call was found in the 3 JavaScript/TypeScript production file(s) this check read across 1 module(s). Each was searched for its ecosystem's logging libraries (JavaScript/TypeScript: pino, winston, bunyan, log4js, loglevel, consola, the NestJS Logger) and for a call on a receiver named `log`/`logger` (or ending in `Logger`/`_logger`) with a level verb. It cannot see logging through a repo-local wrapper named otherwise, or in source it did not read — this is 'no logging found by this walk', not a verdict that nothing here logs. If it is right, production issues will be hard to diagnose.
Type Safety — 0 typed · 14 plain JS — the untyped files are skills/taste-skill/assets/base.js, REDACTED, skills/taste-skill/assets/scenes/stage.js, skills/taste-skill/scripts/assets.mjs, skills/taste-skill/scripts/draw.mjs, skills/taste-skill/scripts/inspect.mjs (+8 more).
R10 · Code Duplication· Duplicated block with local edits (30 matched lines × 2 locations) · ×1
Duplicated block with local edits (30 matched lines × 2 locations) skills/taste-skill/scripts/draw.mjs:98— skills/taste-skill/scripts/draw.mjs:98 · skills/taste-skill/scripts/lib/app-draw.mjs:39 — the two spans are one implementation copied and then locally edited — 646 tokens are still identical, in the same order in both files, with only local edits between them. The copies have already begun to drift, which is this row's finding: an edit made to one and not the other changes behaviour silently. Diff the two spans first to learn what genuinely differs, then extract the shared core into one module both sites use, passing the differences in as parameters — or, if one copy exists only because the other could not be imported from its context, make one of them the single source the other is generated or re-exported from. If one copy is no longer reachable, delete it rather than letting it shadow the live one.
Duplicated block (11 lines × 2 locations) skills/taste-skill/scripts/inspect.mjs:44— skills/taste-skill/scripts/inspect.mjs:44 · skills/taste-skill/scripts/scenes.mjs:28 — the 2 copies are spread across 2 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported.
R10 · Code Duplication· Duplicated block with local edits (7 matched lines × 2 locations) · ×1
Duplicated block with local edits (7 matched lines × 2 locations) skills/taste-skill/scripts/draw.mjs:302— skills/taste-skill/scripts/draw.mjs:302 · skills/taste-skill/scripts/draw.mjs:308 — the two spans are one implementation copied and then locally edited — 87 tokens are still identical, in the same order in both spans, with only local edits between them. The copies have already begun to drift, which is this row's finding: an edit made to one and not the other changes behaviour silently. Diff the two spans first to learn what genuinely differs, then extract the shared core into one module both sites use, passing the differences in as parameters — or, if one copy exists only because the other could not be imported from its context, make one of them the single source the other is generated or re-exported from. If one copy is no longer reachable, delete it rather than letting it shadow the live one.
Duplicated block (6 lines × 2 locations) skills/taste-skill/scripts/inspect.mjs:56— skills/taste-skill/scripts/inspect.mjs:56 · skills/taste-skill/scripts/scenes.mjs:40 — the 2 copies are spread across 2 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported.
Duplicated block (5 lines × 2 locations) skills/taste-skill/scripts/lib/probe.mjs:875— skills/taste-skill/scripts/lib/probe.mjs:875 · skills/taste-skill/scripts/lib/probe.mjs:891 — all 2 copies are in the same file, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported.
Complex function probe (cyclomatic 251, cognitive 348) skills/taste-skill/scripts/lib/probe.mjs:5— probe has cyclomatic complexity 251 and cognitive complexity 348; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function app (cyclomatic 224, cognitive 326) skills/taste-skill/scripts/lib/probe.mjs:682— app has cyclomatic complexity 224 and cognitive complexity 326; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function judge (cyclomatic 87, cognitive 93) skills/taste-skill/scripts/lib/rules.mjs:24— judge has cyclomatic complexity 87 and cognitive complexity 93; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function frame (cyclomatic 86, cognitive 149) skills/taste-skill/scripts/lib/probe.mjs:469— frame has cyclomatic complexity 86 and cognitive complexity 149; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function search (cyclomatic 61, cognitive 121) skills/taste-skill/scripts/assets.mjs:592— search has cyclomatic complexity 61 and cognitive complexity 121; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function layout (cyclomatic 61, cognitive 107) skills/taste-skill/scripts/lib/probe.mjs:560— layout has cyclomatic complexity 61 and cognitive complexity 107; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function render (cyclomatic 55, cognitive 94) skills/taste-skill/scripts/draw.mjs:455— render has cyclomatic complexity 55 and cognitive complexity 94; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function judgeApp (cyclomatic 55, cognitive 54) skills/taste-skill/scripts/lib/rules.mjs:203— judgeApp has cyclomatic complexity 55 and cognitive complexity 54; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive sits below cyclomatic here, so much of the count is breadth — arms side by side rather than stacked — and splitting per arm would leave a function per arm; group the work between the checks into named steps instead. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function judgeLayout (cyclomatic 45, cognitive 63) skills/taste-skill/scripts/lib/rules.mjs:141— judgeLayout has cyclomatic complexity 45 and cognitive complexity 63; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function getVideo (cyclomatic 43, cognitive 53) skills/taste-skill/scripts/assets.mjs:773— getVideo has cyclomatic complexity 43 and cognitive complexity 53; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function render (cyclomatic 40, cognitive 62) skills/taste-skill/scripts/lib/app-draw.mjs:133— render has cyclomatic complexity 40 and cognitive complexity 62; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function getOne (cyclomatic 38, cognitive 43) skills/taste-skill/scripts/assets.mjs:715— getOne has cyclomatic complexity 38 and cognitive complexity 43; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function (anonymous) (cyclomatic 32, cognitive 36) skills/taste-skill/scripts/lint.mjs:74— (anonymous) has cyclomatic complexity 32 and cognitive complexity 36; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function dims (cyclomatic 25, cognitive 33) skills/taste-skill/scripts/assets.mjs:201— dims has cyclomatic complexity 25 and cognitive complexity 33; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function probe (cyclomatic 25, cognitive 31) skills/taste-skill/scripts/assets.mjs:243— probe has cyclomatic complexity 25 and cognitive complexity 31; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function xPicks (cyclomatic 21, cognitive 29) REDACTED:65— xPicks has cyclomatic complexity 21 and cognitive complexity 29; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function adjustments (cyclomatic 20, cognitive 20) skills/taste-skill/scripts/draw.mjs:381— adjustments has cyclomatic complexity 20 and cognitive complexity 20; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function fromAic (cyclomatic 20, cognitive 18) skills/taste-skill/scripts/assets.mjs:436— fromAic has cyclomatic complexity 20 and cognitive complexity 18; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive sits below cyclomatic here, so much of the count is breadth — arms side by side rather than stacked — and splitting per arm would leave a function per arm; group the work between the checks into named steps instead. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
R2 · Cyclomatic Complexity· Complex function run (cyclomatic 19, cognitive 28) · ×1
Complex function run (cyclomatic 19, cognitive 28) skills/taste-skill/scripts/scenes.mjs:67— run has cyclomatic complexity 19 and cognitive complexity 28; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
Complex function (anonymous) (cyclomatic 19, cognitive 19) REDACTED:509— (anonymous) has cyclomatic complexity 19 and cognitive complexity 19; this row is raised above a cyclomatic bar of 10. The two numbers answer different questions and the gap between them is what decides whether to act: cyclomatic counts the independent arms through the body, cognitive counts what it costs to hold them in your head, so nesting and mixed boolean chains raise it while a flat run of independent arms does not. Cognitive is at or above cyclomatic here, so the branching is nested or entangled rather than laid out side by side — extracting each decision into its own named function is the change that pays. Measured by this repository's own parse of the file, so a body assembled at runtime, or generated, is counted as written rather than as it executes.
REDACTED: 616 lines of code REDACTED:1— REDACTED has 616 significant lines (blank lines excluded), over the 400-line bar, and contains logic — a file this long is usually several responsibilities in one module.
Silent fallback default in catch skills/taste-skill/scripts/assets.mjs:707— `readCredits` swallows every exception into `return []` — a data error becomes a silent behavior change with no trail. Log the failure or let it raise. If that constant is the correct answer rather than a stand-in for a value that could not be read, say so in a comment on the handler or in the docstring, and the row stops firing.
Silent fallback default in catch skills/taste-skill/scripts/lib/app-draw.mjs:47— `readHist` swallows every exception into `return []` — a data error becomes a silent behavior change with no trail. Log the failure or let it raise. If that constant is the correct answer rather than a stand-in for a value that could not be read, say so in a comment on the handler or in the docstring, and the row stops firing.
No tests found — No test suite could be collected — no discoverable tests to count. If this repository does test, wiring the suite to a framework a runner can collect (Vitest, Jest, Mocha, or the runtime's built-in runner (`node --test`, `bun test`, `deno test`)) is what makes it countable here; a pipeline step that invokes a runner is not evidence on its own, because a runner over an empty suite passes. Tests written as plain executables or shell/PowerShell harnesses are not collectible this way and are not scored here.
No ADRs — No Architecture Decision Records found — no conventional ADR directory, no numbered `NNNN-title` documents in any markup this check reads, and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
No src/ separation — Production code isn't grouped under a src/ folder — it's spread across several top-level directories, so there's no one place that says 'this is the product'.
P1 · CI/CD gates· CI build step not evidenced · ×1
CI build step not evidenced — A CI pipeline exists but no build step was matched — changes may merge without the build ever running. A build step may be invoked directly as a command, or declared as a task that a runner named in the pipeline resolves.
No SAST — No static application security testing detected. For this repository's stack, add CodeQL's javascript-typescript pack, `semgrep --config=p/javascript`, or eslint-plugin-security as a CI step. What was searched, so you can tell an absence from a miss: the 721 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.
No release approval gate — The release is automated and no gate that pauses it for a human is DECLARED IN THIS REPOSITORY'S PIPELINE FILES. What was read: every file under `.github/workflows/`, `.forgejo/workflows/`, `.gitea/workflows/`, `.azuredevops/` and `.azure-pipelines/`, plus `.gitlab-ci*` and `azure-pipelines*` — with comment text stripped, so documenting a gate is not declaring one. What would have counted: GitLab's `when: manual`, CircleCI's `type: approval`, an Azure `ManualValidation@` task or an `approvals:` block, a Jenkins `input` step, a `uses:` step naming an approval action, an `environment:` paired with `reviewers` / `required_reviewers` / `protection` / `wait-timer` / `deployment_branch_policy`, a draft-release step, a `workflow_dispatch` promotion, or a release-event gate. ★ What this cannot see, because none of it is a file: a GitHub environment whose required reviewers are configured in repo SETTINGS, a branch protection rule, or an organisation deployment policy — all of them real, enforced gates that live outside the repository. If yours is one of those, this row is wrong and nothing in the tree could have told us. Otherwise: whatever the release trigger points at is published to users unreviewed, so a mistagged or unverified commit ships and the only remedy is a follow-up release.
Unused export 'RULE_IDS' skills/taste-skill/scripts/lib/rules.mjs:243— Nothing imports this binding — it is safe to review for removal.
Appendix B — Reproduction & audit trail
Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.
none (no readable dependency manifest): not applicable — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, an Elixir mix.exs/mix.lock (Hex), a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems) — not scanned yet).
trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Docker Compose, Terraform, Kubernetes/Helm, CloudFormation, ARM, Bicep, Ansible); nothing to scan.
semgrep: not applicable — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
none (no readable dependency manifest): not applicable — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, an Elixir mix.exs/mix.lock (Hex), a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems) — not scanned yet).
0
—
Run 01a16dc0-6adb-7174-b0be-5132c86c1ff9 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 4 · Warnings: 180 · Recommendations: 10 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 24-10-2026 @ 11:51 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.