Public report of HowProgrammingWorks/EventEmitter, published 21 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 β
Signed and filed in the standard's public register, 21 October 2026, 21:58 UTC Β· Survey ID cd_1bf8d7681c4b4edfaef49a8e0bc94d38
HowProgrammingWorks/EventEmitter
Measured 21 October 2026, 21:56 UTC, at code version 7beea61
Bus factor is not measured: No living knowledge left to concentrate.
CAI scoreWeak
CriticalWeakAdequateStrongExemplary
Down 4 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 very small codebase: 935 lines of product code in 2 projects, tests not counted Β· Weakest lens: Production Readiness, 25
Findings by how serious they are
2 critical10 serious12 minor
8 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
21 October 2026, 21:56 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 βΈ
65of 68 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.
9of 24 findings point to an exact file and line, so you can open each one in the code. The other 15 concern the repository as a whole, such as missing documentation.
68dimensions across 6 lenses, read from 935 lines of product code in 2 projects.
HowProgrammingWorks/EventEmitter scores 39 out of 100 and is rated Weak, while four of its six lenses score higher still: Performance at 100 and Security and Compliance at 98, both rated Exemplary, and Architecture at 69 and Code Health at 54, both rated Adequate.
The score is lower than those four because the weakest lens counts most, and here that is Production Readiness, which scores 25 and is rated Critical. Its Test Coverage 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 Orphaned file finding(s) in Knowledge Freshness and to resolve the 1 Orphaned files with no living knowledge finding(s) in Knowledge Freshness, and if Production Readiness rose to 70, the score would rise from 39 to about 51.
Two findings are critical, all in Dependency Vulnerabilities.
Watchdog couldn't measure 5 dimensions in this code, among them Code Duplication, Code Coverage and Internal API Consistency, so they are left out of the score. The product code is 935 lines.
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.
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.
Rebuild cost: about β¬1,200 Β· Estimate
Cost to rebuild
β¬400 to β¬2,000, for 7 to 21 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 39. 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
Very small: 935 lines of product code
Comment lines
The estimate prices 934 lines. Comment lines count towards the size of 935 lines but aren't priced as work.
How the estimate is made: Watchdog prices the hours a team would need to write this code again, at β¬60 to β¬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.
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 Orphaned file finding(s) in Knowledge Freshness β start with JsStyleEventEmitter.cs.
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.
Each conclusion below combines several dimensions into one point that no single dimension shows, and lists the measurements it rests on.
If you do one thing first Β· First action
Resolve the 1 Orphaned file finding(s) in Knowledge Freshness. Of all the actions in this report, it raises the score most for the work it takes: about 6 points for low effort, because it clears the 1 Knowledge Freshness findings. The next survey will show the change in the score.
Based on: the ranked actions in Top priorities, by score gain and effort
At a glance β Code Health Β· 54% Β· Adequate Β· gated by R1, X5 Β·
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
A03:2025 β Software Supply Chain Failures
2
High / Critical
Roadmap
Begin by documenting significant design decisions in a dedicated folder to establish architectural clarity, and immediately resolve orphaned files to ensure codebase freshness. Next, implement a CI workflow to automatically build and test every change, preventing regressions before they reach production. Finally, add a diagnostic logging trail accessible via a debug flag to capture critical error paths, enabling faster reproduction and resolution of user-reported issues.
Ranked by impact Γ· effort. "Helps" is the estimated gain on the 0β100 health score.
Do this
Helps
Effort
Dimension
Resolve the 1 Orphaned file finding(s) in Knowledge Freshness β start with JsStyleEventEmitter.cs.
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.
Write a diagnostic trail the user can hand back with a bug report: a log file under the platform's per-user data directory, switchable with a `--verbose`/`--debug` flag. Start with the error paths that emit nothing β a discarded error is the failure the user cannot describe and you cannot reproduce.
Per-file score 0β10 β a quality signature. Of 3 files carrying findings, judged against the Production bar: 0% slop Β· 33% mixed Β· 67% near-clean.
File
Score
Band
Worst signal
REDACTED
5.8
Mixed
Dependency Vulnerabilities: High CVE: REDACTED
package.json
8.5
Near-clean
Dependency Hygiene: Deprecated: eslint
Rust/README.md
9.5
Near-clean
Documentation Quality: Documentation: no project overview
How the grades work
Every finding carries one of four grades. Three say how serious it is. The fourth says this
survey could not settle it β and it is a grade, not a gap.
Critical β 2
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 β 10
Likely wrong, but not failing yet. It degrades
the codebase over a longer horizon and can cause failures elsewhere β not urgent this week, not something to
carry for two years either.
Minor β 12
Recorded, with no effect on how the codebase functions.
Present so the survey is complete, not because it needs doing.
Could not be resolved β 8
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 β a backup job that nothing shows was ever restored from proves
nothing about restores β 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 β 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. 65 of 68 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 0.9 β 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: β Measured β a deterministic fact (LoC, complexity, coverage); ~ Modeled β an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; β Advisory β 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): β Tool-verified means the property itself was measured across the surface; β Nothing flagged means the probes came back clean β a claim bounded by what a repository can show; β Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence β absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; β Sampled Β· advisory marks an LLM verdict over a bounded sample β advisory, never a deterministic measurement.
What we checked β 68 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 β in one coherent pass. A surface report typically covers a handful.
How to trust any code-health report β three questions
Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line β never an absolute scratch path. Here, 9 of 24 do; the remainder are repo-wide signals β 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 β Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled Β· advisory β not a narrative.
Does re-running give the same result? Run it again on the same commit and the score β and this report, byte for byte β 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) β 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 β 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.
D4 Code Duplication β not measured this run β Watchdog could not measure this here. That is a gap on our side β a collector, parser or image we have not built yet β and it is neither a defect in this repository nor evidence that the check would have passed. Most of this repository's production source (.hs, .rs) was not read by duplication detection: no source of those file kinds was exposed to the token comparison by any language model this pass could load. Duplication in .js is measured by R10 Code Duplication and is not part of this gap.
D8 Code Coverage β not measured this run β Watchdog could not measure this here. That is a gap on our side β a collector, parser or image we have not built yet β and it is neither a defect in this repository nor evidence that the check would have passed. Coverage NOT MEASURED: test source is present (.go, .rs) but the built-in coverage collector has no runner for this repository's ecosystem β so this suite was never executed by it. Not scored β this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (`go test -coverprofile=coverage.out ./...`, or lcov β `cargo install cargo-llvm-cov`, then `cargo llvm-cov --lcov --output-path lcov.info`) and commit it β 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. You can widen what we reach: optional: produce a coverage report in a standard format (`go test -coverprofile=coverage.out ./...`, or lcov β `cargo install cargo-llvm-cov`, then `cargo llvm-cov --lcov --output-path lcov.info`) and commit it β 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 β then the real number is read on the next scan.
D14 License Compliance β measured, with a gap in what it reached β Watchdog measured this, but not all of it. What it did not reach is a gap on our side β a collector, parser or image we have not built yet β so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. This repository declares a Cargo manifest, but the licence verdict published here was taken over its npm package dependencies. Nothing was read about its Cargo dependencies' licensing in either direction, and a clean score on this card must not be read as covering them.
D16 Bus Factor β not measured this run β 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. Every one of the 1 significant source file(s) was last meaningfully changed so long ago that no living knowledge remains, so there is no concentration to measure β the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).
D22 Internal API Consistency β not measured this run β Watchdog could not measure this here. That is a gap on our side β a collector, parser or image we have not built yet β and it is neither a defect in this repository nor evidence that the check would have passed. D22 identifies the intentionally-exposed surface from `IsPackable` and `.Contracts` project names, MSBuild conventions read off the loaded project set. This target exposed no such projects, so the probe never ran; this says nothing about whether the repository has a public API.
D27 Navigability β not measured this run β Watchdog could not measure this here. That is a gap on our side β a collector, parser or image we have not built yet β 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.
P5 DR & Backup β not measured this run β 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. No backup/snapshot/replication config, RTO/RPO or restore-procedure documentation was found β and no production persistence was detected either (no data-access packages, no data-store services, no database resources), so there is nothing in this repository whose loss a DR control would recover. If this system's data lives in a platform or ops repo we can't see, that's where the DR evidence belongs.
X27 Collection changed while being enumerated β not measured this run β Watchdog could not measure this here. That is a gap on our side β a collector, parser or image we have not built yet β and it is neither a defect in this repository nor evidence that the check would have passed. This repository's C# was parsed (it ships no .sln or .csproj, so it was read as syntax-only projects), but this check proves its findings from resolved symbols and a reference-free parse resolves none. It abstained rather than report a clean bill it could not earn. That is a gap in this analyzer's reach into build-less repositories β 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 β 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 β 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 β the honest edge of the measurement, not a failure of it.
D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically β 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 β 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 β one class/IIFE β earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
D5 Coupling: Coupling is measured between projects/assemblies β runtime coupling through DI, reflection, messaging or shared databases is invisible to a static reference graph.
D6 Cohesion (LCOM4): LCOM4 cohesion is syntactic β 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 β a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D11 Test Reliability: Flakiness is inferred from history/markers β Watchdog runs the suite once (for coverage), not the repeated runs under varied conditions that reveal nondeterminism, so a flaky test never recorded as failing is invisible here.
D12 Dependency Hygiene: Dependency health reads manifests and lockfiles β a vulnerability in a vendored/copied dependency, or risk from how a dependency is actually used, is outside this view.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree β 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").
D14 License Compliance: License compatibility is checked against declared package metadata and a policy β mislabelled or missing license metadata, and obligations that depend on how you distribute, are not resolved here.
D15 Churn × Complexity Hotspots: Churn hotspots come from git history β a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D17 Explicit Debt: Acknowledged-debt signals (TODO/FIXME, suppressions, dead code) are textual β undocumented debt that nobody marked, and debt that lives in design rather than annotations, is invisible. Committed machine-written code (scaffolded migrations, designer/codegen output, generated stubs) is excluded β it is never the team's dead code to delete.
D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs β 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 β 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 β it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns β 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) β 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").
D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and on the advisory databases β a vulnerability with no published advisory, or in code not declared as a dependency, is not seen. Coverage needs a RESOLVED graph: an unpinned requirements.txt, or a pom without a resolved build, yields partial coverage rather than a clean verdict. An ecosystem the analyzer cannot scan is reported as unmeasured, never as clean.
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension β 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 β 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.
D43 Malicious Dependencies: Only packages some vulnerability database has already NAMED as malicious are seen β a compromise published in the last hours, or never reported at all, is invisible here, and this dimension reading 10 is not evidence that a dependency is trustworthy. There is no typosquat or dependency-confusion analysis: a package nobody has reported is simply absent from the feeds. Coverage is the dependency scan's: an ecosystem that could not be scanned is disclosed as unmeasured, never as clean.
D44 Platform End-of-Life: The support table is FROZEN, so it goes out of date by losing RECALL: a release that ended support after the table was written is missed until the table is refreshed, and this dimension reading 10 is not evidence that a platform is current. Only platforms the repository DECLARES in a place this pass reads are seen β a runtime named only in a Dockerfile (D31's subject), in a CI workflow (D29's), or in a file this pass does not parse (go.mod, a Gemfile ruby directive) is invisible here, which is why a repository declaring none of them abstains rather than scoring. Only frameworks with a PUBLISHED support policy are tracked: React, Flask and Express publish none, so their age cannot be judged and their absence from a report is not a statement that they are supported.
AX10 Code composition: Role is inferred from namespace/folder convention, not semantics β 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 β it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
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 β 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.
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.
0 method(s) exceeded the cognitive complexity threshold of 15.
β On the Gold path β maintain.
Detailed fixes: d2_recommendation.md.
Do you agree with this assessment?
D3 Β· God Classes10.0 / 10Exemplaryβ 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.
What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.
Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.
Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type β the population is all types, not a name convention.
2 production modules (Cargo+npm), 0 dependency cycle(s), 0 unstable depended-on module(s). Read from the build's own module declarations; 0 module(s) off the main sequence, with abstractness counted on 1 of the 2 (the rest declare no modelled class or interface, export only macros, declare types in source no model reads, or have no source directory of their own).
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 β the population is all types, not a name convention.
D9 Β· Test Distribution8.5 / 10Strongβ 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.
2 test methods: 0 unit, 2 integration, 0 BDD, 0 e2e. The Rust suite contributes 2 `#[test]` function(s) across 2 file(s) declaring at least one; its unit/integration split is Cargo's own β 2 of those file(s) are integration-test targets under a crate's tests/ directory, and the rest are #[test] functions compiled into the crate they test.
What to do
Improve Test Distribution β currently 8.5/10. β 2 test methods: 0 unit, 2 integration, 0 BDD, 0 e2e. The Rust suite contributes 2 `#[test]` function(s) across 2 file(s) declaring at least one; its unit/integration split is Cargo's own β 2 of those file(s) are integration-test targets under a crate's tests/ directory, and the rest are #[test] functions compiled into the crate they test.
Detailed fixes: d9_recommendation.md.
Do you agree with this assessment?
D11 Β· Test Reliability10.0 / 10Exemplaryβ Tool-verified
What it measures: Whether the tests pass reliably, with no flakiness.
Method: Suite re-run N times within tiered wall-clock budgets (unit to e2e); tests failing non-deterministically across runs flagged; guarded tests retried when #if guards detected.
What it measures: Whether dependencies are current, secure, and not bloated.
Method: Manifest scan via dotnet list package across all projects; worst-signal-per-package deduction (saturating for vulnerabilities, capped-linear for deprecation/outdated) per KLoC. Exhaustive, deterministic.
3 outdated direct production npm dependency(ies) of 4 graded, 0 pinning defect(s), across 1 package.json (1 of them the product) and 1 committed lockfile(s). Development dependencies are deliberately not graded for currency: that grade is about what SHIPS. 1 direct dependency(ies) β production, development or optional β are marked DEPRECATED by their publisher (the registry's per-version mark, or the lockfile's copy of it when the registry could not be asked); deprecated transitive packages are listed but not charged. Whether any is UNMAINTAINED is not graded β the registry publishes no maintenance status, and release age does not stand in for one. Whether any is UNUSED is not graded either: that is a source question, and the frontend dependency lens (R8) answers it in this same run. Known CVEs in this dependency graph are D30's question, read from the manifest there.
Deprecated: eslintpackage.json:15
Outdated (npm): eslint Β· Γ3
What to do
Resolve the 1 Deprecated finding(s) in Dependency Hygiene β start with package.json. β One of this dimension's main actionable groups (1 warning-level).
Stand up a CI pipeline, then gate Dependency Hygiene in it to reach Verified (currently Documented). β This repository has no CI pipeline, so there is nothing to add a gate to yet β the pipeline comes first. Hardens enforcement from Documented toward Verified β provenance only; does not change the score.
Detailed fixes: d12_recommendation.md Β· top locations in Appendix A, every location in findings.md.
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: Whether the licenses of third-party packages are compatible with your policy.
Method: Third-party package licenses resolved from declared package metadata and checked against the configured policy (allow/deny/copyleft). Deterministic; clean = no incompatible license found at metadata depth.
0 of 4 shipped npm package(s) use a banned license. Licences were resolved from registry.npmjs.org over the 4 production dependency(ies) this repository's committed lockfile resolves, across 1 product package.json manifest(s). Its 0 `devDependencies` declaration(s) are excluded: a consumer installs none of them. β DEPTH: this is the DIRECT production set the lockfile resolves, NOT the transitive closure β only one of the four lock dialects this pass reads states a full graph, so a banned licence pulled in only by a dependency's OWN dependencies is outside this verdict, exactly as the JVM arm's declaration-site verdict is. β Each licence is the one the registry publishes for the package's CURRENT release rather than for the pinned version, which is the same caveat the Hex and RubyGems arms carry. This repository publishes itself under MIT, which is its own choice and is not judged here. β COVERAGE OF THIS VERDICT: it grades this repository's npm package dependencies and nothing else. The repository also declares a Cargo manifest, and the licences of those dependencies were NOT read by this pass β a gap in this engine's coverage, not a statement about them. So this result says the graded closure carries no banned licence; it does NOT say this repository's licensing is clear.
What it measures: Files that change often and are also complex β 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.
What it measures: Acknowledged debt left in the code β TODOs, dead code, suppressed warnings.
Method: Roslyn syntactic debt markers (suppressions/TODO/FIXME/HACK/empty-catch/commented-code/Obsolete) plus SymbolFinder dead-code analysis; weighted-debt-per-KLoC density deducted 2.0x per unit. Deterministic, exhaustive.
0 deducted task-comment markers across 375 LoC (0.0/KLoC) β score 10.0. Task comments only: this repository's language is read without a compiler, so D17's suppression, dead-code and commented-out-code arms did not run and this score counts fewer marker kinds than a .NET repository's would.
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 is a thin one-paragraph 'EventEmitter Examples' link to an external video; the Rust/README.md (187 words) documents the Rust directory and its own directory, covering installation, running examples, running tests, building documentation, contributing formatting and clippy fixes, and nightly prerequisites. It is well structured with install/run steps and a contribution guide.
Documentation: no project overviewRust/README.md
What to do
Resolve the 1 Documentation finding(s) in Documentation Quality β start with README.md. β One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d19_recommendation.md Β· top locations in Appendix A, every location in findings.md.
What it measures: Whether names β types, methods, variables β 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 β scanned across the full git history, not just now.
Method: Secret scan via TWO gitleaks detect passes in an isolated checkout β the full git history, then a second --no-git pass over the working tree as it stands β 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 β unscored and excluded from the lens, never a hedged middling score.
What it measures: Real static-analysis (SAST) findings β 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 β exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).
What it measures: Whether any dependency has a known published vulnerability (CVE), direct or transitive, in ANY ecosystem the repository declares β Dart pub, Elixir and Erlang via Hex, Go modules, Java and Kotlin via Maven/Gradle, JavaScript/npm, .NET/NuGet, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift.
Method: Dependency-CVE scan across every ecosystem the repository declares, scored ONCE. Three sources are unioned and deduplicated by advisory identity (rule id + alias closure, CVE<->GHSA) scoped to package+version, keeping the worst severity: `osv-scanner --recursive` over osv.dev for Dart pub, Elixir/Hex (and Erlang, whose `rebar.lock` syft first converts to a CycloneDX SBOM the scanner reads, with rows attributed back to the lock), Go, Java and Kotlin via Maven/Gradle (and Scala, whose sbt build's pinned direct declarations are written into a CycloneDX SBOM the scanner reads, with rows attributed back to the build file), npm, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift; `trivy fs --scanners vuln` for npm lockfiles; and `dotnet list package --vulnerable --include-transitive` for NuGet (with per-advisory collapse of the project x target-framework fan-out), plus a DECLARED-dependency arm that resolves a published gem's gemspec against rubygems.org where no Gemfile.lock is committed. `SeverityScore(c,h,m,l, normalizer 8.0)`. NotApplicable only when NO ecosystem is readable; if any applicable ecosystem could not be scanned the findings are REPORTED and the score is withheld. Supersedes the npm and OSV arms, retired 2026-09-05.
Resolve the 2 High CVE finding(s) in Dependency Vulnerabilities β start with REDACTED (2). β One of this dimension's main actionable groups (2 issue-level).
Detailed fixes: d30_recommendation.md Β· 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 β 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.
1 of 1 significant source file(s) are orphaned β their living knowledge has decayed to nothing, so no one currently understands them. The largest is CSharp/JsStyleEventEmitter.cs. Counted over 1 of the 2 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.
Orphaned files with no living knowledge
Orphaned fileCSharp/JsStyleEventEmitter.cs:1
What to do
Resolve the 1 Orphaned files with no living knowledge finding(s) in Knowledge Freshness. β One of this dimension's main actionable groups (1 recommendation-level).
Resolve the 1 Orphaned file finding(s) in Knowledge Freshness β start with JsStyleEventEmitter.cs. β One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d34_recommendation.md Β· top locations in Appendix A, every location in findings.md.
What it measures: Whether files that change together actually belong together β 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 β tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file β₯10 revisions, β₯5 shared commits, β₯50% strength); sweeping commits excluded. Deterministic over fixed history.
Coverage: Population: PRODUCTION source files only β test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real productionβproduction 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 codeβdocs pair β a command and the reference page that restates it β is not reported however strongly the two co-change; nor is coupling that runs THROUGH a build step or config file.
What it measures: Whether any dependency the repository declares is published as MALICIOUS rather than merely vulnerable β a package that is an attacker's work, in any ecosystem osv-scanner reads. Scored apart from D30 because the answer is binary: there is no safe version to upgrade to, and the fix is to remove the package and rotate every credential it could have read.
Method: The same dependency scan D30 reads, partitioned on the scanner's own classification rather than rescanned: a row is MALICIOUS when its id is in the `MAL-` space (the ossf/malicious-packages feed) OR its `database_specific.cwe_ids` carries `CWE-506` ("Embedded Malicious Code"). Both channels are structural; the summary text is deliberately NOT read, because a malicious-package record whose summary says only "Critical severity vulnerability" is a real shape ([GHSA redacted]) and a text matcher misses it. Scored BINARY: any surviving row is 0, whatever its severity and however many CVEs sit beside it β a hostile dependency is not a quantity. Applicability and degradation are D30's: NotApplicable only when no ecosystem is readable, and an unscannable ecosystem degrades rather than reading clean. SCORED, not informational.
What it measures: Whether anyone still ships security patches for the platform this repository RUNS ON β the runtime it pins and the framework majors its own constraints hold it to. Separate from D12 because the question differs: a current Django on an end-of-life Python is perfectly up to date and completely unsupported, and the fix is a migration rather than a version bump. What the repository says it merely SUPPORTS is never charged.
Method: End-of-life PLATFORM read from the repository's own declarations and graded against a FROZEN, dated table of vendor support dates β no network, no feed, no API, so this dimension answers identically inside a closed scan fence. Two subjects: a RUNTIME the project pins (a single or all-end-of-life TargetFramework, a .nvmrc or .python-version, a requires-python CAP) and a FRAMEWORK major a dependency constraint cannot move off (a caret, tilde or exact version; `vue@^2.7.16` pins Vue 2). A FLOOR is deliberately never charged β `requires-python = ">=3.8"` states what a package SUPPORTS, not what it runs on β and a multi-target project is charged only when EVERY target is out of support. Runtime 4.0/product capped 8.0, framework 1.5 capped 4.5. The table is safe to freeze because a statement about support that ended in the past cannot become false: it loses recall as it ages, never precision, and a test asserts every entry predates the freeze date. Disjoint from D31 (a container image's OS layer) and D29 (the toolchain a CI workflow installs). Abstains when the repository declares no platform this pass reads β never scores it clean.
0 end-of-life runtime(s) and 0 end-of-life framework(s), read from 0 platform declaration(s) and 4 dependency declaration(s). This dimension reads what the repository says about ITSELF β a pinned target framework, a version file, a capped requires-python, a Rust toolchain pin, a framework major a constraint cannot move off. A FLOOR is deliberately never charged: `requires-python = ">=3.8"` states what the package SUPPORTS, not what it runs on, and a well-maintained library declares exactly that while running its own CI on a current release. The end-of-life facts are FROZEN and dated, so this dimension needs no network and answers identically inside a closed scan fence; as the table ages it loses recall and never precision, because a statement about support that ended in the past cannot become false. The OS layer of a container image is D31's question and the toolchain a CI workflow installs is D29's; this row is neither.
Other Β· Architecture β How the codebase splits by code ROLE β 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 β domain, then infrastructure, then application β 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 β no declared namespace was available to add to the evidence β 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 β 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 β 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 Β· Architecture β 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 Β· Architecture β Whether dependencies point inward (Domain β Application β Infrastructure/Web) β 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.
Other Β· Code Health β Unreviewed-generation residue: shipped members still throwing NotImplementedException, and placeholder string literals left in 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 Β· Code Health β Unfinished work detected by code SHAPE, not keywords: members that only throw a "not implemented" exception, methods that take inputs and return a constant, async methods that never await, dead `if (false)` / `#if false` branches, and skeleton types most of whose members are holes. A real, objective slice of technical debt.
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 Β· Maturity β 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.
The root README is 6 words, against a bar of 120. Of the three newcomer-critical sections this check looks for by heading, it found no a build/run or getting-started section, no a testing section, no an architecture or project-map section. Sections are matched on HEADING text only, so material written under a heading this check does not recognise β or with no heading at all β is not seen and this row may understate what the document covers.
What to do
Expand the README with getting-started, architecture overview and a project map.
Add a build/run (quick start) section to the root README β the first thing a newcomer needs.
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 β the high-level shape.
Maturity Β· Maturity β 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 β 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 C4/Structurizr/PlantUML/Mermaid/Graphviz/D2 diagram, no drawn diagram named for the architecture, no file named `architecture` or `design` in any markup this check reads, and nothing in the README, docs or contributor guides that announces the shape β no `## Architecture` heading, no "architecture overview"/"high-level design" phrasing, no "the architecture is β¦" introduction, no guided code tour. A shape laid out in prose that never names itself as the architecture is not visible to this check, and neither is one kept outside the repository, so this row reports the absence of a re-findable shape document β not evidence that nobody wrote the shape down.
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.
Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.
Maturity Β· Maturity β Whether the repo is organised deliberately β 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 β 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 Β· Maturity β 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.
Readiness Β· Readiness β 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.
No CI workflow found (.github/workflows, azure-pipelines.yml, .gitlab-ci.yml, β¦) β changes aren't gated by an automated build/test.
What to do
Add a CI workflow that builds and runs the test suite on every push/PR.
Do you agree with this assessment?
P10 Β· Library API & versioning10.0 / 10Exemplaryβ Nothing flagged
Readiness Β· Readiness β For a library: a deliberate (small) public API surface and explicit semantic versioning so consumers can depend on it safely.
Method: Roslyn scan: public API surface area and semantic-versioning markers (SemVer attributes, changelog entries) for libraries; off .NET, a library is the ecosystem's publication act (an npm package that is not private and names an entry point, a PyPI distribution with a build system, a Rust library crate, a Maven/Gradle module that publishes, a Go module with no package main, a gemspec, a Composer library, a SwiftPM library product, a pub.dev or Hex package), its surface is the share of types the language model records as public (Rust, Swift, Java, Kotlin, Go, Dart; not measured where the model records no type visibility or, as in TypeScript, only module-level export), and its version is read from the manifest, a semver CHANGELOG, release tooling or semver git tags. Exhaustive, deterministic.
No logging or diagnostics emission found. This repository ships a binary its users launch rather than a service you operate, so there is no operator to page β but when a run fails on a user's machine, neither they nor you have anything to read.
What to do
Write a diagnostic trail the user can hand back with a bug report: a log file under the platform's per-user data directory, switchable with a `--verbose`/`--debug` flag. Start with the error paths that emit nothing β a discarded error is the failure the user cannot describe and you cannot reproduce.
Readiness Β· Readiness β 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 β in this repository's own ecosystem. Exhaustive, deterministic.
No static application security testing detected. For this repository's stack, add `semgrep --config=auto` plus gitleaks for committed secrets β this tree has no MSBuild project file, so CodeQL's csharp pack (which traces a build) and NuGet security analyzers (which are referenced from a project) have nothing to attach to β this repository has no CI pipeline yet, so run it locally to clear the existing findings, then make it a step of the first workflow you add so a regression fails the build. What was searched, so you can tell an absence from a miss: the 0 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 β if that is your case the row is wrong, and saying so is more useful than adding a second scanner.
What to do
Run what this repository's stack ships: `semgrep --config=auto` plus gitleaks for committed secrets β this tree has no MSBuild project file, so CodeQL's csharp pack (which traces a build) and NuGet security analyzers (which are referenced from a project) have nothing to attach to β locally for now, since there is no CI pipeline here yet, and as a step of the first workflow you add so a security regression fails the build instead of landing.
Enable Dependabot/Renovate or a dependency-review gate.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
Readiness Β· Performance β Whether asynchronous code stays responsive β 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 β .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 β and, for a .NET library with β₯5 awaits, the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.
Do you agree with this assessment?
R1 Β· Type Safety0.0 / 10Criticalβ Tool-verified
React / JS Β· Code Health β 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 · 12 plain JS β the untyped files are JavaScript/1-simple.js, JavaScript/2-usage.js, JavaScript/3-enhanced.js, JavaScript/4-star-fix.js, JavaScript/5-usage.js, JavaScript/6-closure.js (+6 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 β no file is typed today, so this is an adoption, not a clean-up.
React / JS Β· Code Health β 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 β 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 β 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.
JavaScript/8-methods.js:17 · JavaScript/a-prod.js:18 β the two spans are one implementation copied and then locally edited β 473 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 β 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. β JavaScript/8-methods.js:17
JavaScript/8-methods.js:52 · JavaScript/9-min.js:16 · JavaScript/a-prod.js:63 · JavaScript/b-class.js:68 β the 4 copies sit in sibling files in one directory, so check first whether one of them (or an existing module there) already owns this behaviour and the others should call it; otherwise extract it into one module in that directory and have each site call it. There is one copy in each of 4 separate files rather than several in one place, so check first whether these are sibling modules that each declare their own version of one shape β one per entity, per provider, per language. Where they are, no single extracted module collapses them: each module still has to be written, and what recurs is the TEMPLATE. The moves that do collapse a template are to generate these modules from the set they enumerate, or to replace the repeated construction with one factory each site calls with its own values β and where the set is the point, each module pinning one distinct thing, the repetition IS the enumeration and there is nothing to delete. β JavaScript/8-methods.js:52
JavaScript/b-class.js:42 · JavaScript/c-async.js:54 β the two spans are one implementation copied and then locally edited β 85 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 β 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. β JavaScript/b-class.js:42
JavaScript/3-enhanced.js:1 · JavaScript/4-star-fix.js:1 β the two spans are one implementation copied and then locally edited β 82 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 β 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. β JavaScript/3-enhanced.js:1
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 β sometimes there is nothing to extract.
React / JS Β· Code Health β Per-function cyclomatic/cognitive complexity from the token-level function scanner (D-386) β 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.
Do you agree with this assessment?
R3 Β· Large Files10.0 / 10Exemplaryβ Tool-verified
React / JS Β· Code Health β 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.
Do you agree with this assessment?
R4 Β· Test Coverage0.0 / 10Criticalβ Tool-verified
React / JS Β· Readiness β Static test reachability (D-386): the share of production files reachable from any test via the import graph β measured without running anything.
Method: Static test reachability: the share of production files reachable from any test via the import graph β measured without running anything. Deterministic.
0% of 12 production file(s) reachable from 0 test file(s) via the import graph β 'production' here is the RESIDUE: every source file left once tests, tooling, generated output, config, declarations and declaration-only modules, fixture corpora, type fixtures, behaviour-free data modules, re-export barrels, registration/constant data modules and service workers are set aside, so the percentage is taken over a smaller denominator than the workspace's file count
What to do
Add tests that import the unreached modules (directly or through their public entry).
React / JS Β· Readiness β How outdated the npm dependencies are (a maturity signal). JS/npm CVEs are scored separately in D30 (JS/npm Dependency Vulnerabilities).
Method: npm dependency staleness from manifest/registry metadata (a maturity signal; JS/npm CVEs are scored separately in D30, which answers dependency vulnerabilities for every ecosystem). Deterministic.
What to do
Bump outdated dependencies to current versions to limit upgrade debt.
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R6 Β· Tooling6.7 / 10Adequateβ Tool-verified
React / JS Β· Readiness β Whether the project wires up test, lint and typecheck β detected from each package.json script's COMMAND (eslint / tsc / vitest / jest / playwright), not just its name, and corroborated against CI-workflow invocations so a tool run only in CI still counts.
Method: package.json scanned for test/lint/typecheck script wiring. Deterministic presence check.
test β · lint β · typecheck β β read from this repository's package.json scripts and corroborated against its CI workflows. A script counts when its name or command matches the step: `test` for the suite, `lint` or `prettier` for linting, `typecheck`/`type-check`/`tsc` for type checking. β therefore means no script or CI step under those names was found, NOT that the step is absent from your pipeline β a task invoked by a runner this check does not read, or named something else entirely, is not seen and is worth confirming before acting on a cross. A β means the wiring is DECLARED β a script or CI step under those names exists. It is not a statement that the step passes, or that it runs at all: nothing here installs a dependency or executes a suite.
What to do
Add type checking (adopt TypeScript, or type-check the existing JavaScript with `checkJs`) as package.json scripts and run them in CI.
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R7 Β· Dead Code10.0 / 10Exemplaryβ Tool-verified
React / JS Β· Code Health β 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.
14 file(s) (~665 LoC) were excluded from dead-code analysis β declare main/module/exports or a conventional entry (src/index.*, an index.html script) so reachability can see this package.
React / JS Β· Readiness β npm dependency truthfulness (D-386): unused dependencies, imports not declared anywhere, and type-/test-only packages shipped as production deps.
Method: npm dependency truthfulness: unused dependencies, imports declared nowhere, and type-/test-only packages shipped as production deps β from the manifest + import graph. Deterministic.
React / JS Β· Architecture β Import cycles in the module graph (D-386) β 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 Β· Code Health β 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 Β· Code Health β Whether any branch is dead by construction β 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 Β· Undrained process stream10.0 / 10Exemplaryβ Nothing flagged
Other Β· Code Health β Whether a child process that has BOTH standard streams redirected drains both β 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 engineβs 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 childβs `close`/`exit` (or the read streamβs end) is awaited; a shell redirect in the callβs arguments or a `kill` of the child suppresses it. The same rule reads Pythonβs `subprocess.Popen`, Dartβs `Process.start`, Rubyβs `Open3.popen3`, and Scalaβs JDK process starts (`new ProcessBuilder(β¦).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 Β· Security β Whether a hand-rolled public/private IP check can be walked past β 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 Β· Unvalidated length from an untrusted reader10.0 / 10Exemplaryβ Nothing flagged
Other Β· Security β Whether a length read out of the stream being parsed is bounded before it is allocated or read β 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 Β· Code Health β Whether a loop that shortens a string until it fits a length budget has a floor β 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 β a direct comparison on the length, a body guard, a break β bounds that length below. On a repository with no .NET source it reads JavaScript/TypeScript off the engineβs own token stream (test, vendored and minified paths not) with the same rule: a `while`/`do` loop whose bodyβs 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 β never compared directly, never tested for truthiness, and with no other read of `x` β and whose body has no `break`, `return`, `throw` or `if` naming `x`. Deterministic, provable per finding. Advisory.
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X17 Β· Uncapped recursion over a caller-supplied document10.0 / 10Exemplaryβ Nothing flagged
Other Β· Security β Whether a walk that recurses through a JSON/XML tree handed in by its caller bounds how deep it will go β 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 engineβs 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 β `unknown`, `any`, `object`, `Record<string, unknown|any>`, a JSON alias (`JsonValue`, `JSONObject`, β¦) or a DOM node global the file does not rebind β 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 Β· Code Health β Whether a type's disposal matches what it OWNS β 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 β 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 engineβs 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(β¦)` 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(β¦)` 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) β a class whose superclass or mixin lies outside the repository is not judged β 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 Β· Code Health β Whether a method that temporarily changes state belonging to the whole process β the working directory, an environment variable β 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 engineβs own token stream (test, vendored and minified paths not): `process.chdir`, `process.env.NAME =`/`["NAME"] =` and `delete process.env.NAME`, and Denoβs `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 Β· Code Health β Whether an argument guard throws the exception its own condition describes β a guard that rejects a value for being EMPTY and reports it as `ArgumentNullException` tells the caller a parameter was null when it provably was not.
Method: Roslyn syntax: `throw new ArgumentNullException(nameof(p))` statements controlled by an `if`, whose condition is read for a test that is true of a NON-null `p` β an emptiness test that dereferences it (`p.Count == 0`, `!p.Any()`) or a BCL predicate documented true of the empty value (`string.IsNullOrEmpty(p)`). Deterministic, provable per finding. Advisory.
Other Β· Code Health β Whether a `when` guard is free of side effects β 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 Β· Code Health β Whether a method that TAKES a lock or semaphore and gives it back from a flag-guarded `finally` returns the value that flag implies β 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 Β· Code Health β Whether the work a diagnostic log line costs is paid only when that line is wanted β 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 β a LINQ operator, a materialisation, `string.Join`, a serializer β with no enclosing level check or conditional-compilation region. On a repository with no .NET source it reads JavaScript/TypeScript off the engineβs 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`/β¦), `Array.from`, `Object.keys/values/entries`, `JSON.stringify`/`util.inspect` over anything but a literal, or an array `join` β outside any arrow or function passed as an argument, which the logger calls only when the level is on β 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 Β· Document value interpolated into markup unescaped10.0 / 10Exemplaryβ Nothing flagged
Other Β· Security β Whether text read out of the document being converted is escaped before it is written into generated markup β 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 β 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.
Other Β· Code Health β Whether a value the caller is invited to supply is the value the type actually uses β 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 engineβs 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.
Other Β· Code Health β Whether a value handed from a callback to the body that waits on it crosses on something built to be crossed β a `Queue<T>`/`List<T>`/`Dictionary<K,V>` written inside an event handler and read back outside it is mutated by two flows at once, and the semaphore or completion source beside it orders how MANY items exist while leaving the collection's own head, tail and backing array unprotected.
Method: Roslyn syntax: method, accessor, local-function and lambda bodies that declare BOTH a non-thread-safe generic collection (`Queue`/`Stack`/`List`/`Dictionary`/`HashSet`/`Sorted*`/`LinkedList`) and a synchronisation primitive (`SemaphoreSlim`/`TaskCompletionSource`/`ManualResetEvent(Slim)`/`AutoResetEvent`/`CountdownEvent`) as locals, then read for a `+=`-registered lambda that raises that primitive while the body outside every lambda waits on it β and, in that scope, a mutating call on the collection inside the lambda paired with a mention of it outside. Any `lock` in the scope abstains it. On a repository with no .NET source the same handoff is read in Java off the engineβs own token stream (test source sets, vendored and demonstration paths not): an `ArrayList`/`LinkedList`/`ArrayDeque`/`PriorityQueue`/`Hash*`/`LinkedHash*`/`Tree*` local and a `CountDownLatch`/`Semaphore`/`CompletableFuture` local, a lambda or anonymous class that raises the primitive and mutates the collection, and a wait outside it; any `synchronized` or `lock()` abstains the body. Because each of those primitives orders what the callback wrote before raising it, only a touch that provably overlaps the callback is convicted: one after the registration and before the next wait, or one in a loop registered-before, waiting on every pass and not declaring the collection. Deterministic, provable per finding. Advisory.
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X28 Β· Index access outside its own emptiness guard10.0 / 10Exemplaryβ Nothing flagged
Other Β· Code Health β Whether a condition that tests a value for emptiness indexes that same value only where the test holds β 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 β 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 Β· Per-element action decided by a fixed element10.0 / 10Exemplaryβ Nothing flagged
Other Β· Code Health β Whether a decision taken once per element is taken ABOUT that element β 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`βs 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 β 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 engineβs own token stream (tests included, bundles and vendored paths not): a `for (let|var|const x = β¦; β¦; β¦)` 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 Β· Code Health β 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.
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X30 Β· Support guard that admits what it rejects10.0 / 10Exemplaryβ Nothing flagged
Other Β· Code Health β Whether a guard written as a NEGATED `||` says what its author meant β `!(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 β an identifier or member access, never an invocation, which is a predicate rather than a capability flag β 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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X32 Β· Type resolved by simple name across every loaded assembly10.0 / 10Exemplaryβ Nothing flagged
Other Β· Code Health β Whether a plugin lookup names the type it means β searching every assembly loaded into the process for a candidate whose SIMPLE name equals a string supplied at runtime, and taking the first one found, is decided by assembly LOAD ORDER rather than by this source, so the same name can resolve to a different type on the next run.
Method: Roslyn syntax only, no semantic model: every invocation of `First`/`FirstOrDefault`/`Single`/`SingleOrDefault` whose OWN expression subtree contains both a `GetAssemblies()` call and a `GetTypes()`/`GetExportedTypes()` call β a single-element pick out of every type loaded into the process. A nested selector in the same chain sees no `GetAssemblies()` in its own subtree and is outside the population, so one lookup counts once however many links its chain has. A finding additionally needs both remaining halves: the selector must be `First`/`FirstOrDefault` (`Single`/`SingleOrDefault` reports the ambiguity rather than resolving it, and is counted and never reported), and the chain must carry an `==` comparison of `<lambda parameter>.Name` against something that is not a literal. The receiver must be a plain identifier bound by one of the chainβs own lambdas, which places `assembly.GetName().Name == "X"` outside the rule by construction. One exemption: a `.Name` test joined by `&&` to a `FullName`/`AssemblyQualifiedName` test on the same identifier is spared; joined by `||` it is not. Deterministic, provable per finding. Advisory.
Other Β· Code Health β Whether log calls use message templates (queryable) rather than interpolated strings.
Method: Roslyn syntax scan: every log call-site counted; interpolated-string first-argument violations flagged. Population is all log calls, not estimated. On a repository with no .NET source it reads JavaScript/TypeScript off the engineβs own token stream (test, vendored and minified paths not) with the same rule: a `trace`/`debug`/`info`/`warn`/`error`/`fatal`/`verbose`/`silly`/`http`/`log` call on a receiver named for a logger, in a package whose own or an enclosing `package.json` declares a logger that carries values as fields (pino, pino-http, nestjs-pino, Fastify, winston, bunyan, tslog, LogTape, roarr), whose first deciding argument is a template literal with substitutions; an object-literal fields argument is stepped over, a plain string message clears the call. Python is read the same way: a `debug`/`info`/`warning`/`error`/`exception`/`critical`/`log` call on a logger in a file that imports the standard libraryβs `logging` or structlog (loguru, which formats at the call, is not judged), whose message is a whole f-string with a non-constant field; a `%`-formatted, `.format()`-ed or concatenated message is not convicted, as in C#. PHP is read the same way: a PSR-3 level call (`emergency`β¦`debug`, `log`) on a logger (`$logger`, `$this->logger`, Laravelβs `Log::`, `logger()`, `\Drupal::logger()`) in a package whose `composer.json` requires a PSR-3 logger or a framework that hands one out (psr/log, Monolog, Laravel, Symfony, Drupal, CakePHP), or a file that imports one, whose message is a double-quoted string interpolating a variable; a single-quoted message clears the call, and `sprintf` or `.` concatenation is not convicted, as in C#. Dart is read the same way: a `trace`/`debug`/`info`/`warn`/`error`/`fatal` call on Sentryβs structured logger (`Sentry.logger`) whose message is a whole string literal interpolating a value (`$name`, `${β¦}`); the `Sentry.logger.fmt` template API clears the call. Dart that logs only through loggers with one message and no fields (package:logging, package:logger, talker, dart:developer) is not applicable rather than a reach gap. Ruby is read the same way: a `trace`/`debug`/`info`/`warn`/`error`/`fatal` call on the console gemβs `Console` (declared by a Gemfile, gemspec or Gemfile.lock, or required) or, where SemanticLogger, Ougai or dry-logger is declared or required, on a receiver named for a logger (`logger`, `@logger`, `Rails.logger`, `log`), whose first deciding argument is, as the whole argument, a double-quoted string interpolating a non-constant value (`#{β¦}`, `#@ivar`); a plain literal clears the call, keyword arguments are the fields, and a block, `%`-format or `+` concatenation is not convicted. Ruby that logs only through the standard Logger (Rails.logger) is not applicable rather than a reach gap. Deterministic.
Other Β· Code Health β Whether nullable reference types are enabled and not undermined by heavy `!` suppression.
Method: Roslyn compiler-options scan: NullableContextOptions per project; null-forgiving (!) suppression density per 1k syntax nodes. Deterministic, adoption plus suppression penalty.
0/2 C# file(s) are in a nullable-enabled context. This repository commits no project file, so nothing sets <Nullable>enable</Nullable> for it: a file is enabled only by its own `#nullable enable`, by a Unity `csc.rsp` with `-nullable:enable` for its assembly, or as a file-based app (`#:` directives) whose `#:property Nullable` does not turn it off. NRTs catch a whole class of null-deref bugs at compile time.
What to do
Put every file in a nullable-enabled context β `#nullable enable` at its top, or commit a project file with <Nullable>enable</Nullable> β and resolve warnings rather than suppressing with `!`.
Do you agree with this assessment?
Reference β by lens
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 β¦") and is never the strongest area however high its average.
Not evidenced β 3 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 β the thing it grades applies; we just could not see it. Excluded from the score either way.
P4 Deployment & Rollback β not evidenced β no deploy/rollback/approval signal in the repo; absence of evidence is not evidence of a manual release
P5 DR & Backup β not evidenced β repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P6 Release Hygiene β not evidenced β no changelog, version stamp or semver release tag in the repo
Not included β 60 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.
AC1 Text alternatives β No web markup found β accessibility is not applicable to this repository.
AC2 Forms & labels β No web markup found β accessibility is not applicable to this repository.
AC3 Page structure β No web markup found β accessibility is not applicable to this repository.
AC4 Keyboard semantics β No web markup found β accessibility is not applicable to this repository.
AC5 ARIA correctness β No web markup found β accessibility is not applicable to this repository.
AC6 Visual & motion safety β No web markup found β accessibility is not applicable to this repository.
AC7 A11y enforcement β No web markup found β accessibility is not applicable to this repository.
AX1 Captive dependencies β no DI registrations detected
AX2 Stateful singletons β no singleton implementations detected
AX5 Architecture & structure β not assessed β 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 β no public interfaces
AX7 Slice cohesion β not applicable β not a vertical-slice architecture
AX8 Test isolation β no test/production split to check
AX9 CQS / query purity β no CQRS query handlers detected β query purity is not applicable to this codebase
AXB1 Runtime evidence locked β no reproducible boot β This repository has nothing the runtime tiers could boot or serve β no markup, no UI framework or web-server dependency, no UI component source, no native UI project and no API definition β nothing here is a surface to boot β so runtime a11y/egress/header evidence has no subject here. Not applicable: this is neither a gap in the scan nor a finding about your code.
C1 Data Protection β No personal data detected in the analyzed source β no PII-typed entity/column names (Email, FirstName, DateOfBirth, β¦), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
C2 Access Controls β No access-control surface detected in the analyzed source β no web/app surface to authorize (no HTTP API or web-UI project) and no authorization code at all (no [Authorize]/policies, no imperative guard methods). Access control is therefore N/A here β this is a library/CLI, which is authorized by its CALLER, not by itself. If this codebase grows request handlers, the dimension reactivates and a default-deny posture is expected then.
C3 Audit Trail β No personal data detected in the analyzed source β no PII-typed entity/column names (Email, FirstName, DateOfBirth, β¦), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
C4 Data Retention β No personal data detected in the analyzed source β no PII-typed entity/column names (Email, FirstName, DateOfBirth, β¦), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
C5 Data-Subject Rights β No personal data detected in the analyzed source β no PII-typed entity/column names (Email, FirstName, DateOfBirth, β¦), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
D10 Test Quality β ~287 lines of test source are present (.go, .rs) but no test cases reached the test census for this repository β no test root we could resolve declared them, or the files we read declare no cases in a test framework we recognise β so skipped/assertion-free tests couldn't be counted. Not scored β this is a gap in the analyzer, not a finding about this repository.
D16 Bus Factor β dormant codebase β no living knowledge left to concentrate
D18 Solution Shape β 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 β N/A β ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
D22 Internal API Consistency β The exposed public-API surface could not be collected β no C#/VB projects loaded.
D23 Boundary Type-Coupling β No bounded-context organisation was detected either β 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 (β₯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 β e.g. `architecture:` β `contexts:` β `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value β No inline comments to assess β comment value is not applicable here.
D25 ADR Conformance β no ADRs to check
D26 Project Cohesion β Project cohesion is assessed over the .NET project set; this target exposed no projects, so project size and spread could not be assessed. Not scored β this is a gap in the analyzer's reach, not a verdict about this repository.
D27 Navigability β D27 counts a call into the standard library or a dependency as unresolved for this repository's language (.js), 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.
D31 IaC & Container Security β 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) β No personal data was found crossing a boundary the PII/GDPR ruleset checks β 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.
D36 Supply-chain Provenance & Signing β No CI/build pipeline found (.github/.forgejo/.gitea workflows, .circleci, .buildkite, .woodpecker, .teamcity, .gitlab-ci.yml, .travis.yml, bitbucket-pipelines.yml, .drone.yml, .cirrus.yml, .woodpecker.yml, appveyor.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, .azuredevops/, Jenkinsfile); there is no build to attest provenance for.
D37 Vulnerability-disclosure Policy β 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 β D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D4 Code Duplication β Duplication not measured β .hs, .rs not exposed to the token comparison
D40 Network Egress Confinement β 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 β 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 β 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.
D7 Architectural Integrity β no checkable ADRs, and no project-reference graph for the cycle pass to read β 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 β Coverage not included β suite not readable by the collector
DM1 Domain Modelling β not scored β this repository shows none of the 2 signals this lens looks for
ED1 Event-Driven β not scored β this repository shows none of the 3 signals this lens looks for
ED5 Idempotency β no mutating command handlers or message consumers detected β idempotency check not applicable (this repository commits no MSBuild project, so its C# was read as syntax-only projects β a handler marked ONLY by an interface from a package is not visible without a build)
ES1 Event Sourcing β not scored β this repository shows none of the 3 signals this lens looks for
P12 CI test-gate honesty β no CI workflow found
P7 Outbound HTTP resilience β not measured β the application kind could not be determined for this repo
P8 Schema migrations β 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 β no coverage report found on disk β produce a coverage report in a standard format (Cobertura β `dotnet test --collect:"XPlat Code Coverage"` with a `coverlet.collector` PackageReference) and commit it β 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 β Performance is assessed only for perf-relevant repos β a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
PF2 Allocation hygiene β Performance is assessed only for perf-relevant repos β a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
R11 Import Boundaries β No recognizable feature-sliced/layered src layout β boundary rules not applicable.
S1 Web-Security Posture β No web surface detected in the analyzed source β no HTTP API or web-UI project (no controllers/minimal-API endpoints, no Razor/Blazor views) and no web middleware (HTTPS redirection, HSTS, security headers, cookies). Transport security, security headers, secure cookies, CSRF/input-validation and middleware-order controls are therefore N/A here β this is a library/CLI/worker, not a web app. Crypto hygiene was still checked and found nothing to flag. If this codebase becomes web-facing, the dimension reactivates automatically.
SC1 Supply-chain hygiene β Advisory β this card reports evidence and never carries a score, so there is nothing missing here.
X10 Duplicated predicate β Advisory β this card reports evidence and never carries a score, so there is nothing missing here.
X2 Cancellation propagation β no async method does work a token could cancel
X27 Collection changed while being enumerated β This check needs a compiled C# program and this repository commits no project file to compile, so only its syntax could be read. That is a limit of the analyzer, not a finding about your code.
X6 Hand-rolled structured-format parsing β Advisory β this card reports evidence and never carries a score, so there is nothing missing here.
X7 Silent fallback defaults β Advisory β this card reports evidence and never carries a score, so there is nothing missing here.
X9 Subsumed condition operand β Advisory β this card reports evidence and never carries a score, so there is nothing missing here.
Appendix A β 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 β 2 finding(s)
D30 Β· Dependency VulnerabilitiesΒ· High CVE Β· Γ2
Deprecated: eslint package.json:15β eslint 9.39.5, declared in package.json, is marked deprecated by its publisher: "This version is no longer supported. Please see https://eslint.org/version-support for other options.". Replace it with the package or version that message names, or record why this one must stay.
No CI pipeline β No CI workflow found (.github/workflows, azure-pipelines.yml, .gitlab-ci.yml, β¦) β changes aren't gated by an automated build/test.
P2 Β· ObservabilityΒ· No structured logging Β· Γ1
No structured logging β No logging or diagnostics emission found. This repository ships a binary its users launch rather than a service you operate, so there is no operator to page β but when a run fails on a user's machine, neither they nor you have anything to read.
Type Safety β 0 typed · 12 plain JS β the untyped files are JavaScript/1-simple.js, JavaScript/2-usage.js, JavaScript/3-enhanced.js, JavaScript/4-star-fix.js, JavaScript/5-usage.js, JavaScript/6-closure.js (+6 more).
R10 Β· Code DuplicationΒ· Duplicated block with local edits (60 matched lines × 2 locations) Β· Γ1
Duplicated block with local edits (60 matched lines × 2 locations) JavaScript/8-methods.js:17β JavaScript/8-methods.js:17 · JavaScript/a-prod.js:18 β the two spans are one implementation copied and then locally edited β 473 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 β 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 (30 lines × 4 locations) JavaScript/8-methods.js:52β JavaScript/8-methods.js:52 · JavaScript/9-min.js:16 · JavaScript/a-prod.js:63 · JavaScript/b-class.js:68 β the 4 copies sit in sibling files in one directory, so check first whether one of them (or an existing module there) already owns this behaviour and the others should call it; otherwise extract it into one module in that directory and have each site call it. There is one copy in each of 4 separate files rather than several in one place, so check first whether these are sibling modules that each declare their own version of one shape β one per entity, per provider, per language. Where they are, no single extracted module collapses them: each module still has to be written, and what recurs is the TEMPLATE. The moves that do collapse a template are to generate these modules from the set they enumerate, or to replace the repeated construction with one factory each site calls with its own values β and where the set is the point, each module pinning one distinct thing, the repetition IS the enumeration and there is nothing to delete.
R10 Β· Code DuplicationΒ· Duplicated block with local edits (20 matched lines × 2 locations) Β· Γ1
Duplicated block with local edits (20 matched lines × 2 locations) JavaScript/b-class.js:42β JavaScript/b-class.js:42 · JavaScript/c-async.js:54 β the two spans are one implementation copied and then locally edited β 85 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 β 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.
R10 Β· Code DuplicationΒ· Duplicated block with local edits (13 matched lines × 2 locations) Β· Γ1
Duplicated block with local edits (13 matched lines × 2 locations) JavaScript/3-enhanced.js:1β JavaScript/3-enhanced.js:1 · JavaScript/4-star-fix.js:1 β the two spans are one implementation copied and then locally edited β 82 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 β 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.
Test Coverage β 0% of 12 production file(s) reachable from 0 test file(s) via the import graph β 'production' here is the RESIDUE: every source file left once tests, tooling, generated output, config, declarations and declaration-only modules, fixture corpora, type fixtures, behaviour-free data modules, re-export barrels, registration/constant data modules and service workers are set aside, so the percentage is taken over a smaller denominator than the workspace's file count
No typecheck script β test β · lint β · typecheck β β read from this repository's package.json scripts and corroborated against its CI workflows. A script counts when its name or command matches the step: `test` for the suite, `lint` or `prettier` for linting, `typecheck`/`type-check`/`tsc` for type checking. β therefore means no script or CI step under those names was found, NOT that the step is absent from your pipeline β a task invoked by a runner this check does not read, or named something else entirely, is not seen and is worth confirming before acting on a cross. A β means the wiring is DECLARED β a script or CI step under those names exists. It is not a statement that the step passes, or that it runs at all: nothing here installs a dependency or executes a suite.
Documentation: no project overview Rust/README.mdβ The Rust README begins with an external video link ('## EventEmitter Examples') rather than stating what the directory is for or its main purpose. Replace the video link with a one-line description of what the Rust directory provides (e.g. 'A Rust crate that demonstrates EventEmitter usage.') and any value-add it brings over the root README.
D34 Β· Knowledge FreshnessΒ· Orphaned files with no living knowledge Β· Γ1
Orphaned files with no living knowledge β 1 of 1 analysed file(s) have no living knowledge left β their last meaningful change has decayed away, so if one breaks, no one currently understands it (counted over production source files of roughly 2,400 bytes or more, excluding vendored, generated and example/demo trees and test files identified by path convention, largest first; 1 of the 2 production source files in this repository met that bar). None is large enough to earn a read-through of its own, so this row stands in for the per-file rows rather than raising one each β most significant first: CSharp/JsStyleEventEmitter.cs. Attach the read to the next change that touches one of them: have a second person review that change, and leave behind a short comment or test recording what the file is for, so the knowledge comes back at the cost of a change you were making anyway.
Orphaned file CSharp/JsStyleEventEmitter.cs:1β No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Thin README β The root README is 6 words, against a bar of 120. Of the three newcomer-critical sections this check looks for by heading, it found no a build/run or getting-started section, no a testing section, no an architecture or project-map section. Sections are matched on HEADING text only, so material written under a heading this check does not recognise β or with no heading at all β is not seen and this row may understate what the document covers.
No ADRs β No Architecture Decision Records found β 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.
M2 Β· Architecture documentationΒ· No architecture diagram/doc Β· Γ1
No architecture diagram/doc β No C4/Structurizr/PlantUML/Mermaid/Graphviz/D2 diagram, no drawn diagram named for the architecture, no file named `architecture` or `design` in any markup this check reads, and nothing in the README, docs or contributor guides that announces the shape β no `## Architecture` heading, no "architecture overview"/"high-level design" phrasing, no "the architecture is β¦" introduction, no guided code tour. A shape laid out in prose that never names itself as the architecture is not visible to this check, and neither is one kept outside the repository, so this row reports the absence of a re-findable shape document β not evidence that nobody wrote the shape down.
No src/ separation β Production code isn't grouped under a src/ folder β it's spread across several top-level directories, so there's no one place that says 'this is the product'.
P3 Β· Security & performance toolingΒ· No SAST Β· Γ1
No SAST β No static application security testing detected. For this repository's stack, add `semgrep --config=auto` plus gitleaks for committed secrets β this tree has no MSBuild project file, so CodeQL's csharp pack (which traces a build) and NuGet security analyzers (which are referenced from a project) have nothing to attach to β this repository has no CI pipeline yet, so run it locally to clear the existing findings, then make it a step of the first workflow you add so a regression fails the build. What was searched, so you can tell an absence from a miss: the 0 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 β if that is your case the row is wrong, and saying so is more useful than adding a second scanner.
Nullable reference types not enabled everywhere β 0/2 C# file(s) are in a nullable-enabled context. This repository commits no project file, so nothing sets <Nullable>enable</Nullable> for it: a file is enabled only by its own `#nullable enable`, by a Unity `csc.rsp` with `-nullable:enable` for its assembly, or as a file-based app (`#:` directives) whose `#:property Nullable` does not turn it off. NRTs catch a whole class of null-deref bugs at compile time.
Outdated (npm): eslint β eslint is pinned at 9.39.5; registry.npmjs.org publishes 10.13.0 as the latest release. Upgrading is a judgement call β read that package's changelog for what changed between the two β but a direct production dependency several releases behind is where security and compatibility debt accumulates silently.
Outdated (npm): eslint-config-metarhia β eslint-config-metarhia is pinned at 9.1.9; registry.npmjs.org publishes 9.2.1 as the latest release. Upgrading is a judgement call β read that package's changelog for what changed between the two β but a direct production dependency several releases behind is where security and compatibility debt accumulates silently.
Outdated (npm): prettier β prettier is pinned at 3.9.6; registry.npmjs.org publishes 3.9.10 as the latest release. Upgrading is a judgement call β read that package's changelog for what changed between the two β but a direct production dependency several releases behind is where security and compatibility debt accumulates silently.
Appendix B β Reproduction & audit trail
Every external tool invocation behind a deep-scan dimension β 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 β 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 β kept out of this table so the rendered report stays byte-identical across runs of the same commit.
trivy: not applicable β No Infrastructure-as-Code or container manifests found (Dockerfile, Docker Compose, Terraform, Kubernetes/Helm, CloudFormation, ARM, Bicep, Ansible); nothing to scan.
semgrep: not applicable β No personal data was found crossing a boundary the PII/GDPR ruleset checks β 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.
provenance: not applicable β No CI/build pipeline found (.github/.forgejo/.gitea workflows, .circleci, .buildkite, .woodpecker, .teamcity, .gitlab-ci.yml, .travis.yml, bitbucket-pipelines.yml, .drone.yml, .cirrus.yml, .woodpecker.yml, appveyor.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, .azuredevops/, Jenkinsfile); there is no build to attest provenance for.
disclosure: not applicable β 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 β 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 β 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 β 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.
Run 01a16077-7eff-7e40-84dd-8ff2ebd80002 Β· every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 2 Β· Warnings: 10 Β· Recommendations: 9 Β· Info: 3 β Appendix A Β· all findings Β· full markdown report.
Generated by Watchdog β deterministic code-health analysis. 21-10-2026 @ 21:56 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric β drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.