Public report of wshobson/agents, published 25 October 2026. It has the same score, grades and number of
findings as the full report. The details of security findings (where they are in the code, which known
vulnerabilities and which passwords or keys were found) are left out, so nobody can use them against the project.
Public
Executive reportMeasured under the Code Assurance Index, an open standard for code quality, using its published scoring rules (rubric version 2026.10.5). Watchdog signed this survey and filed it in the standard's public register, where anyone can look it up by its survey ID. Check this survey →
Signed and filed in the standard's public register, 25 October 2026, 07:46 UTC · Survey ID cd_c8b2e68be0e74b81a555ba29e193ed26
wshobson/agents
Measured 25 October 2026, 07:44 UTC, at code version 0874a27
Regression: 1 dimension fell since the last survey
A regression is a drop of 0.5 points or more in the score, or of 2.5 or more out of 10 in a dimension, since the last survey.
CAI scoreAt riskUp 1 since the last survey
The score is built from these lenses. Each lens grades one area of the code, such as how easy it is to change or how well it is protected. The weakest lens counts most, so one weak area pulls the score down instead of being averaged away.
A small codebase: 10,136 lines of product code in 2 projects, tests not counted · Estimated rebuild effort: about 0.1 person-years · Weakest lens: Production Readiness, 35
Findings by how serious they are
10 critical111 serious32 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
25 October 2026, 07:44 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.
A critical security finding is open, such as a library with a known critical vulnerability or a password or key found in the code. The score itself is unchanged, but its band shows At risk until the finding is fixed. See the Security and Compliance lens.
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 ▸
69of 69 dimensions measured by tools.
142of 153 findings point to an exact file and line, so you can open each one in the code. The other 11 concern the repository as a whole, such as missing documentation.
69dimensions across 6 lenses, read from 10,136 lines of product code in 2 projects.
wshobson/agents is rated At risk because critical security findings are open. Its score is held back in part because we found no logging, tracing or health checks in the code. It scores 57 out of 100, which the At risk rating leaves unchanged.
Production Readiness, at 35, is the weakest lens and counts most in the score. The best first steps are logging through a logging library and documenting the recovery plan, each worth about 7 points. Raising Production Readiness to 70 would lift the score to about 73.
Four known security holes in the packages the code depends on can be used by attackers. Two pipeline steps run downloads nobody checks, and two settings leave the servers or containers unsafe. Updating the vulnerable packages, checking each download against a checksum and correcting the unsafe settings would close these risks. Setting a waiting period for automatic updates would fix the automatic dependency update that takes a new release at once, and fixing the weaknesses the scanner points to would deal with the security weakness in the code.
The product code is 10,136 lines, about €19,000 to rebuild.
A lens is capped at Adequate while one of its dimensions scores below 4 out of 10, however well the rest of the lens does. That way a serious problem in one place always shows in the lens's rating.
How the score is built: what each lens counts forThe lenses don't count equally. The weakest lens counts most, the next weakest a little less, and so on, so a weak area pulls the score down instead of being averaged away. In the bar below, each part's width shows how much that lens counts and its colour shows its rating. Improving the widest part moves the score most, and as that lens improves, it counts for less, because another lens becomes the weakest.
Watchdog compares every finding with the previous survey's. A finding that has only moved to another line in the same file counts as the same finding, so only new findings appear here. Advisory notes from the AI model are left out, because the model words them afresh in every survey.
Fixed since the last survey: 3 findings
These 3 critical or serious findings were in the previous survey, on 11 October 2026, and are gone from this one.
Dependency Vulnerabilities · High CVE: [GHSA redacted] REDACTED
Rebuild cost: about €19,000 · Estimate
Cost to rebuild
€6,400 to €32,000, for 107 to 339 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
×0.8 at a score of 57. Better code takes more work to write, so the factor is ×1.0 at a score of 70, lower below it and higher above it.
Size
Small: 10,136 lines of product code
Comment lines
The estimate prices 10,085 lines. Comment lines count towards the size of 10,136 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 €60 to €95 an hour. Declarations and boilerplate are priced at a fast rate and logic at a slower one, and the logic is then multiplied by the difficulty of the problem and by the quality factor. The estimate can be about 30% off either way, and it moves most with the hourly rate and the difficulty.
Top priorities
The three actions that raise the score most for the work they take. The full ranked list is in the Roadmap.
1
Log through `logging.getLogger(__name__)` (or structlog) with a JSON formatter at meaningful points in the modules you run.
Raises the score by about 7 points · Medium effort · Observability
2
Codify backups + geo-recovery in IaC and document RTO/RPO and the restore procedure — a persistence guard alone is not disaster recovery.
Raises the score by about 7 points · Medium effort · DR & Backup
3
Add a SAST step to CI running what this repository's stack ships: bandit, `semgrep --config=p/python`, or CodeQL's python pack — so a security regression fails the build instead of landing.
Each conclusion below combines several dimensions into one point that no single dimension shows, and lists the measurements it rests on.
Where the investment is most exposed · Value at risk
This code would cost about €19,000 to build again, about 0.1 person-years of work. Its weakest lens is Production Readiness, at 35 (Weak). Production Readiness is about whether the product is ready to run in production and to change without breaking. Because the weakest lens counts most in the score, work on Production Readiness also moves the score most.
Based on: the rebuild estimate · the Production Readiness grade · how much each lens counts
What to do: Start with the Production Readiness actions in Top priorities.
If you do one thing first · First action
Log through `logging.getLogger(__name__)` (or structlog) with a JSON formatter at meaningful points in the modules you run. Of all the actions in this report, it raises the score most for the work it takes: about 7 points for medium effort. The next survey will show the change in the score.
Based on: the ranked actions in Top priorities, by score gain and effort
What hard-to-read code costs each year · Cost
Four dimensions measure how easy the code is to work in: two measure how tangled its logic is, one how much of it is copied, and one how well each part sticks to a single job. In this codebase they average 6.6 out of 10. Code at that level is slower to change than clean code, and Watchdog estimates the extra work at 3% to 8% on every change. The history of the code shows how much it changes: about 23,940 lines over the last 90 days, which is about 97,090 lines a year. At that pace, the extra work comes to an estimated 8.4 to 50.6 engineer-days a year, and it grows as more code changes.
How this is estimated: The number of changed lines is measured from the history of the code. The rest rests on two assumptions of Watchdog's own: code scoring 8 out of 10 or more adds no extra work, and each point below 8 adds 2.5% to 5.6% to every change; and an engineer changes 150 to 400 lines in a day. The result is a range for planning, not a measurement.
Based on: Cyclomatic Complexity · Cognitive Complexity · Code Duplication · Cohesion (LCOM4) · the code's change history
What to do: Start with the files listed under Churn × Complexity Hotspots, which change often and are hard to read, because that is where the extra work is paid most often.
Architecture: which parts of the code depend on which
The code is divided into modules, groups of code that each handle one part of the product, and a module depends on another when it uses code from it. The table lists the modules both down the side and across the top, in an order where each module should only use modules listed above it. A number in a cell means the module on that row uses the module in that column, and it counts the pairs of building blocks (types) that connect them. The one thing to look for is a mark above the diagonal line. It means two or more modules use each other in a loop (a dependency cycle), so none of them can be changed, tested or released on its own.
38 modules, with 28 dependencies between them. Every module uses only modules listed above it, so there are no loops.
Which modules use which. The module on each row uses the module in each column, and the number counts the pairs of types that connect them. A cell above the diagonal is part of a loop.
2 pairs of types, where a type in plugins.backend-development.skills.api-design-principles.assets uses a type in plugins.backend-development.skills.api-design-principles.assets.rest-api-template.
plugins.backend-development.skills.api-design-principles.assets uses plugins.backend-development.skills.api-design-principles.assets.rest-api-template, so a change to plugins.backend-development.skills.api-design-principles.assets.rest-api-template can break plugins.backend-development.skills.api-design-principles.assets, while a change to plugins.backend-development.skills.api-design-principles.assets can't break plugins.backend-development.skills.api-design-principles.assets.rest-api-template.
Position
Below the diagonal: plugins.backend-development.skills.api-design-principles.assets uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.scripts uses plugins.plugin-eval.scripts.eval_all, so a change to plugins.plugin-eval.scripts.eval_all can break plugins.plugin-eval.scripts, while a change to plugins.plugin-eval.scripts can't break plugins.plugin-eval.scripts.eval_all.
Position
Below the diagonal: plugins.plugin-eval.scripts uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval uses plugins.plugin-eval.src.plugin_eval.models, so a change to plugins.plugin-eval.src.plugin_eval.models can break plugins.plugin-eval.src.plugin_eval, while a change to plugins.plugin-eval.src.plugin_eval can't break plugins.plugin-eval.src.plugin_eval.models.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval uses plugins.plugin-eval.src.plugin_eval.parser, so a change to plugins.plugin-eval.src.plugin_eval.parser can break plugins.plugin-eval.src.plugin_eval, while a change to plugins.plugin-eval.src.plugin_eval can't break plugins.plugin-eval.src.plugin_eval.parser.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval uses plugins.plugin-eval.src.plugin_eval.snapshot, so a change to plugins.plugin-eval.src.plugin_eval.snapshot can break plugins.plugin-eval.src.plugin_eval, while a change to plugins.plugin-eval.src.plugin_eval can't break plugins.plugin-eval.src.plugin_eval.snapshot.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval.engine uses plugins.plugin-eval.src.plugin_eval.models, so a change to plugins.plugin-eval.src.plugin_eval.models can break plugins.plugin-eval.src.plugin_eval.engine, while a change to plugins.plugin-eval.src.plugin_eval.engine can't break plugins.plugin-eval.src.plugin_eval.models.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval.engine uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval.layers.judge uses plugins.plugin-eval.src.plugin_eval.models, so a change to plugins.plugin-eval.src.plugin_eval.models can break plugins.plugin-eval.src.plugin_eval.layers.judge, while a change to plugins.plugin-eval.src.plugin_eval.layers.judge can't break plugins.plugin-eval.src.plugin_eval.models.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval.layers.judge uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval.layers.monte_carlo uses plugins.plugin-eval.src.plugin_eval.models, so a change to plugins.plugin-eval.src.plugin_eval.models can break plugins.plugin-eval.src.plugin_eval.layers.monte_carlo, while a change to plugins.plugin-eval.src.plugin_eval.layers.monte_carlo can't break plugins.plugin-eval.src.plugin_eval.models.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval.layers.monte_carlo uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval.layers.static uses plugins.plugin-eval.src.plugin_eval.models, so a change to plugins.plugin-eval.src.plugin_eval.models can break plugins.plugin-eval.src.plugin_eval.layers.static, while a change to plugins.plugin-eval.src.plugin_eval.layers.static can't break plugins.plugin-eval.src.plugin_eval.models.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval.layers.static uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval.layers.static uses plugins.plugin-eval.src.plugin_eval.parser, so a change to plugins.plugin-eval.src.plugin_eval.parser can break plugins.plugin-eval.src.plugin_eval.layers.static, while a change to plugins.plugin-eval.src.plugin_eval.layers.static can't break plugins.plugin-eval.src.plugin_eval.parser.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval.layers.static uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval.reporter uses plugins.plugin-eval.src.plugin_eval.models, so a change to plugins.plugin-eval.src.plugin_eval.models can break plugins.plugin-eval.src.plugin_eval.reporter, while a change to plugins.plugin-eval.src.plugin_eval.reporter can't break plugins.plugin-eval.src.plugin_eval.models.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval.reporter uses a module listed above it, which is the healthy direction.
tools uses tools.install_antigravity, so a change to tools.install_antigravity can break tools, while a change to tools can't break tools.install_antigravity.
Position
Below the diagonal: tools uses a module listed above it, which is the healthy direction.
tools uses tools.validate_generated, so a change to tools.validate_generated can break tools, while a change to tools can't break tools.validate_generated.
Position
Below the diagonal: tools uses a module listed above it, which is the healthy direction.
tools.adapters uses tools.adapters.base, so a change to tools.adapters.base can break tools.adapters, while a change to tools.adapters can't break tools.adapters.base.
Position
Below the diagonal: tools.adapters uses a module listed above it, which is the healthy direction.
tools.adapters.antigravity uses tools.adapters.base, so a change to tools.adapters.base can break tools.adapters.antigravity, while a change to tools.adapters.antigravity can't break tools.adapters.base.
Position
Below the diagonal: tools.adapters.antigravity uses a module listed above it, which is the healthy direction.
tools.adapters.codex uses tools.adapters.base, so a change to tools.adapters.base can break tools.adapters.codex, while a change to tools.adapters.codex can't break tools.adapters.base.
Position
Below the diagonal: tools.adapters.codex uses a module listed above it, which is the healthy direction.
tools.adapters.copilot uses tools.adapters.base, so a change to tools.adapters.base can break tools.adapters.copilot, while a change to tools.adapters.copilot can't break tools.adapters.base.
Position
Below the diagonal: tools.adapters.copilot uses a module listed above it, which is the healthy direction.
tools.adapters.cursor uses tools.adapters.base, so a change to tools.adapters.base can break tools.adapters.cursor, while a change to tools.adapters.cursor can't break tools.adapters.base.
Position
Below the diagonal: tools.adapters.cursor uses a module listed above it, which is the healthy direction.
tools.adapters.opencode uses tools.adapters.base, so a change to tools.adapters.base can break tools.adapters.opencode, while a change to tools.adapters.opencode can't break tools.adapters.base.
Position
Below the diagonal: tools.adapters.opencode uses a module listed above it, which is the healthy direction.
tools.adapters.pi uses tools.adapters.base, so a change to tools.adapters.base can break tools.adapters.pi, while a change to tools.adapters.pi can't break tools.adapters.base.
Position
Below the diagonal: tools.adapters.pi uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval.layers uses plugins.plugin-eval.src.plugin_eval.layers._sdk, so a change to plugins.plugin-eval.src.plugin_eval.layers._sdk can break plugins.plugin-eval.src.plugin_eval.layers, while a change to plugins.plugin-eval.src.plugin_eval.layers can't break plugins.plugin-eval.src.plugin_eval.layers._sdk.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval.layers uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval.layers uses plugins.plugin-eval.src.plugin_eval.parser, so a change to plugins.plugin-eval.src.plugin_eval.parser can break plugins.plugin-eval.src.plugin_eval.layers, while a change to plugins.plugin-eval.src.plugin_eval.layers can't break plugins.plugin-eval.src.plugin_eval.parser.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval.layers uses a module listed above it, which is the healthy direction.
plugins.plugin-eval.src.plugin_eval.layers uses plugins.plugin-eval.src.plugin_eval.layers.monte_carlo, so a change to plugins.plugin-eval.src.plugin_eval.layers.monte_carlo can break plugins.plugin-eval.src.plugin_eval.layers, while a change to plugins.plugin-eval.src.plugin_eval.layers can't break plugins.plugin-eval.src.plugin_eval.layers.monte_carlo.
Position
Below the diagonal: plugins.plugin-eval.src.plugin_eval.layers uses a module listed above it, which is the healthy direction.
At a glance — Code Health · 71% · Adequate · gated by D2, X5 ·
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
A02:2025 — Security Misconfiguration
24
High / Critical
A03:2025 — Software Supply Chain Failures
9
High / Critical
A05:2025 — Injection
7
High / Critical
Roadmap
First, establish observability by implementing structured logging across all modules and define disaster recovery procedures with documented RTO/RPO targets. Next, integrate static security analysis into the CI pipeline to block regressions and enforce nullable reference types to eliminate warnings. Finally, maintain a changelog to ensure clear release hygiene and traceability.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Log through `logging.getLogger(__name__)` (or structlog) with a JSON formatter at meaningful points in the modules you run.
Add a SAST step to CI running what this repository's stack ships: bandit, `semgrep --config=p/python`, or CodeQL's python pack — so a security regression fails the build instead of landing.
Put every file in a nullable-enabled context — `#nullable enable` at its top, or commit a project file with <Nullable>enable</Nullable> — and resolve warnings rather than suppressing with `!`.
Bring the 15 bodies over 15 down to 15 or less in Cyclomatic Complexity — start with doc_gardener.check_stale_artifacts (cyclomatic 62), validate_package.validate (cyclomatic 36), base.parse_frontmatter (cyclomatic 36).
Every finding carries one of four grades. Three say how serious it is. The fourth says this
survey could not settle it — and it is a grade, not a gap.
Critical — 10
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 — 111
Likely wrong, but not failing yet. It degrades
the codebase over a longer horizon and can cause failures elsewhere — not urgent this week, not something to
carry for two years either.
Minor — 32
Recorded, with no effect on how the codebase functions.
Present so the survey is complete, not because it needs doing.
Could not be resolved — 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 — a backup job that nothing shows was ever restored from proves
nothing about restores — or our own analysis could not run over that part of the tree. This is not a clean
result. These are excluded from the score rather than awarded a pass, so the number on the cover neither
rewards nor penalises them: if you act on this survey without resolving them, you carry that risk yourself. Each
one is named under Limitations.
Methodology & how to trust this report
Watchdog is a deep, periodic assessment — run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 69 of 69 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); none rely on LLM judgement. Overall confidence is 0.9 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.
Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.
What we checked — 69 dimensions across the health lenses
Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.
How to trust any code-health report — three questions
Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 142 of 153 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.
This report answers yes to all three. That's the bar to hold any assessment to.
Tools & methods
The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.
D8 Code Coverage — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Coverage NOT MEASURED: test source is present (.py) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — 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 (`coverage run -m pytest` then `coverage xml`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures. You can widen what we reach: optional: produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures — then the real number is read on the next scan.
D12 Dependency Hygiene — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Not scored — 10 shipped Python distribution(s) were read, but the outdated signal needs pypi.org, and no declaration here carries an exact pin to ask about — a floor or a range installs the newest release it admits and cannot be behind one, so this dimension's own question is only partly answered. NOT a finding that these dependencies are current or healthy.
D19 Documentation Quality — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. Each ecosystem's manifests (what makes a folder runnable or a published package) need their own proof before D19 judges its units. Until then those folders' READMEs are judged only as documents (boilerplate, structure), never counted as complete.
D21 Naming Consistency — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. D21's deterministic naming rules are gated on C# first (docs/plans/deterministic-engine.md, P5): each other language is switched on only after its own concept suite and A/B gate pass. Until then its declarations carry no naming verdict this run — this says nothing about whether its names are consistent.
D22 Internal API Consistency — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. D22's deterministic call-shape rules are gated on C# first (docs/plans/deterministic-engine.md, P5): each other language is switched on only after its own concept suite and A/B gate pass. This says nothing about whether that surface is consistent.
D24 Comment Value — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check's reader does not cover the language this repository's product is written in, so it had nothing of the product to read. That is a gap in this analyzer's language reach — not a finding about this repository.
D27 Navigability — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Navigability is taken over call sites whose callee resolved. For C# that population includes calls into referenced assemblies; for this language only calls declared inside the repository count, so the abstention threshold reads the repository's use of its standard library as a resolution failure. That is a limit of this analyzer, not a build problem in this repository.
AXR1 Runtime accessibility — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Render strategy: boot via ToolchainServer (.). the service exited before it opened a port — `/tmp/wd-venv/bin/python -m uvicorn 'plugins.backend-development.skills.api-design-principles.assets.rest-api-template:app' --host 127.0.0.1 --port 8000`: _and_load
File "<frozen importlib._bootstrap>", line 1331, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 935, in _load_unlocked
File "<frozen importlib._bootstrap_externa…; runtime evidence skipped (launch chosen because REDACTED defines the FastAPI application 'app' at module level).
M4 Documentation accuracy — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. M4 checks only the claim kinds adjudicated at or above 95 % precision: links and versions (PREREGISTRATION version 9). Paths, command arguments, installs, environment variables, settings, projects, packages, routes, cd targets, infrastructure products and removed modules are read but not checked, and none of them is reported or counted.
X27 Collection changed while being enumerated — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This 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 — not a finding that the repository is free of what this check looks for.
Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared — every source file was scored.
Limitations & what we did not check
Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.
Per-dimension blind spots
For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.
D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
D4 Code Duplication: Duplication is token-similarity — an in-process token-stream comparison over sliding windows, with type-aware normalization — so it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
D5 Coupling: Coupling is measured between projects/assemblies — runtime coupling through DI, reflection, messaging or shared databases is invisible to a static reference graph.
D6 Cohesion (LCOM4): LCOM4 cohesion is syntactic — it infers connectivity from which methods touch which fields/methods by name, not from real runtime behaviour or intent.
D7 Architectural Integrity: Layering is checked against detected/declared rules — an architecture whose boundaries live in convention or in code review, not in a rule a scanner can read, is not enforced here.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D11 Test Reliability: Flakiness is inferred from history/markers — 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.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D14 License Compliance: License compatibility is checked against declared package metadata and a policy — 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 — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D16 Bus Factor: Bus-factor is a time-decayed model of commit attribution (who has recently, repeatedly worked a file), not comprehension — pairing, review and reading-without-committing spread knowledge it can't see; bot commits and shared accounts still distort it.
D17 Explicit Debt: Acknowledged-debt signals (TODO/FIXME, suppressions, dead code) are textual — 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 — it is never the team's dead code to delete.
D19 Documentation Quality: Documentation quality publishes two things only: a runnable or packaged unit with no example, and a multi-project root README that maps none of its parts. It does not judge clarity, and its other checks (overview, licence, boilerplate, structure, empty sections, XML-doc coverage) are withheld after adjudication: their candidates are counted in the card's gaps, not shown as rows. A false statement in a document is M4's; units are .NET projects only.
D20 ADR Quality: ADR quality is an LLM read of the decision records present — it cannot know about decisions made and never recorded, and its verdict is sampled and advisory.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and on the advisory databases — 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.
D31 IaC & Container Security: IaC scanning checks Dockerfiles/Terraform/Kubernetes against best-practice rules — it cannot see the live cloud account, runtime configuration, or drift between the committed config and what is actually deployed.
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
D40 Network Egress Confinement: Egress confinement is read from committed Kubernetes manifests — a policy applied out-of-band (cluster-default deny, a service mesh, or a cloud firewall/security group off-repo) is invisible, and a present NetworkPolicy is declared config, not proof the cluster admission-controller actually enforces it at runtime.
D41 Kernel & Syscall Confinement: Syscall/MAC confinement is read from committed manifests — a profile applied by a cluster-wide PodSecurity default or a mutating webhook off-repo isn't seen, and a declared seccomp/AppArmor profile is config presence, not proof the node's kernel actually loaded and enforced it.
D43 Malicious Dependencies: Only packages some vulnerability database has already NAMED as malicious are seen — 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 — 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 — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
P5 DR & Backup: Backup/restore and disaster-recovery readiness is judged from in-repo evidence — a config that exists is not a tested restore, so the absence of positive evidence is reported as "not evidenced", never scored as present.
P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.
What it measures: How tangled the control flow is — methods with many branches are hard to test and change.
Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.
+ 10 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Bring the 15 bodies over 15 down to 15 or less in Cyclomatic Complexity — start with doc_gardener.check_stale_artifacts (cyclomatic 62), validate_package.validate (cyclomatic 36), base.parse_frontmatter (cyclomatic 36). — This score is capped by its worst body, so a finding fixed alone moves it by almost nothing — the next one down takes its place. Refactoring these 15 together lifts Cyclomatic Complexity from 6.6 to about 10.0/10, projected with the scoring formula itself and assuming each lands exactly at 15.
Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: How hard the code is for a person to follow, beyond raw branching.
Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.
+ 27 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Bring the 3 bodies over 60 down to 60 or less in Cognitive Complexity — start with doc_gardener.check_stale_artifacts (cognitive 158), validate_package.validate (cognitive 65), base.parse_frontmatter (cognitive 61). — This score is capped by its worst body, so a finding fixed alone moves it by almost nothing — the next one down takes its place. Refactoring these 3 together lifts Cognitive Complexity from 2.0 to about 3.3/10, projected with the scoring formula itself and assuming each lands exactly at 60; a cleaner split scores higher.
Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D3 · God Classes9.2 / 10Stronggated by 2 serious findings✓ Tool-verified
What it measures: Over-large classes that try to do too much ("god classes").
Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.
Resolve the 2 FileTooLong finding(s) in God Classes — start with validate_generated.py, doc_gardener.py. — One of this dimension's main actionable groups (2 warning-level).
Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Copy-pasted code that should be shared instead.
Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.
32 duplicated block group(s) detected. A further 2 rows report members as variants of one another; they aggregate block groups already counted above and are not themselves counted.
+ 17 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 3 Duplicated block (11 lines × 2) finding(s) in Code Duplication — start with doc_gardener.py, install_opencode.py, validate_generated.py. — One of this dimension's main actionable groups (3 warning-level).
Resolve the 3 Duplicated block (7 lines × 2) finding(s) in Code Duplication — start with repository-template.cs, inspect.py, base.py. — One of this dimension's main actionable groups (3 warning-level).
Resolve the 3 Duplicated block (5 lines × 2) finding(s) in Code Duplication — start with doc_gardener.py, yt-design-extractor.py, copilot.py. — One of this dimension's main actionable groups (3 warning-level).
Enforce Code Duplication in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D5 · Coupling10.0 / 10Exemplary✓ Tool-verified
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 — the population is all types, not a name convention.
2 production modules (Python), 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.
What it measures: Whether a class's methods are focused on a single responsibility.
Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.
Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.
Resolve the 1 Low cohesion finding(s) in Cohesion (LCOM4) — start with repository-template.cs. — One of this dimension's main actionable groups (1 warning-level).
Enforce Cohesion (LCOM4) in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d6_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether the code respects its intended layering / architecture rules.
Method: Enforcement rung (Prevented/Verified/Documented) per checkable ADR via Roslyn, plus dependency cycles via the engine shared with D5/AX3. Deterministic, exact.
No mechanizable ADR was identified, so enforcement is not measured. Dependency cycles not checked (no project-reference graph; where this repository's language has an import-cycle lens, cycles are reported there).
Resolve the 1 Classify ADR enforcement finding(s) in Architectural Integrity — start with SKILL.md. — One of this dimension's main actionable groups (1 recommendation-level).
Enforce Architectural Integrity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d7_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D9 · Test Distribution9.9 / 10Exemplary✓ 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.
536 test methods: 533 unit, 0 integration, 0 BDD, 3 e2e. The Python suite contributes 536 test function(s) across 27 file(s) declaring at least one — every `def test…` in a file pytest or unittest would collect, which is those frameworks' own definition of a case; a parametrize table counts once, so this is a floor. Its tier split is read from file names and paths only.
✓ On the Gold path — maintain.
Detailed fixes: d9_recommendation.md.
Do you agree with this assessment?
D11 · Test Reliability10.0 / 10Exemplary✓ 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 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 26 shipped Python distribution(s) use a banned license. Licences were resolved from PyPI over the distributions a consumer installs — this repository's 10 declared runtime requirement(s) closed transitively over each distribution's published `requires_dist` (16 reached that way). Requirements it states ONLY under an extra, a PEP 735 dependency group, a Poetry dev group or a dev-named requirements file are excluded: pip does not install any of them for a consumer. ★ This repository commits no dependency lockfile that this pass reads, so each licence is the one PyPI publishes for the distribution's CURRENT release rather than for a pinned version. 1 of them publish no licence on PyPI this pass can read; that is missing data, not a violation, and none of them is charged.
What it measures: Files that change often and are also complex — the riskiest hotspots.
Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.
Resolve the 2 Hotspot finding(s) in Churn × Complexity Hotspots — start with doc_gardener.py, generate.py. — One of this dimension's main actionable groups (2 warning-level).
Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D16 · Bus Factor7.3 / 10Strong✓ Tool-verified
What it measures: Whether knowledge is concentrated in too few people (the "bus factor").
Method: Living knowledge per author via time-decayed commit attribution (6-month half-life, focus weighting) across largest source files. Deterministic, avoids blame's mechanical-refactor false positives.
9 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is plugins/plugin-eval/src/plugin_eval/engine.py. Counted over 37 of the 42 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.
Off-boarding risk: anonymized user #1
What to do
Resolve the 1 Off-boarding risk finding(s) in Bus Factor. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d16_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Acknowledged debt left in the code — 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.
3 deducted task-comment markers across 10136 LoC (0.0/KLoC) → 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.
TodoComment · ×3REDACTED:25
What to do
Resolve the 3 TodoComment finding(s) in Explicit Debt — start with REDACTED (3). — One of this dimension's main actionable groups (3 warning-level).
Enforce Explicit Debt in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d17_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether the project's documentation is clear, complete, and useful.
Method: Every README, docs/ document and root guide parsed by its markup and measured in Unicode letters. Published: a runnable or packaged .NET project whose README (or a document it links, or a root guide) shows no example, and a root README naming none of three or more projects. Overview, licence, boilerplate, wall-of-text, empty-section and XML-doc rows are measured and withheld (counted in gaps) after adjudication. Deterministic, exhaustive, advisory.
What it measures: Whether architecture decisions are recorded well (context, decision, consequences).
Method: Per-ADR judgment by language model at low temperature with two-pass stability; confidence is share of ADRs evaluated; enforcement-field presence detected deterministically. Advisory.
0 of 1 evaluated ADRs have a defect readable from the log itself (a missing or empty section, no title, a single option, consequences with no cost, no status, a missing enforcement field, a status the log contradicts, a dangling link, an unlinked second decision on one question). How well each record argues its case is not measured.
What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.
Method: Secret scan via TWO gitleaks detect passes in an isolated checkout — the full git history, then a second --no-git pass over the working tree as it stands — merged and de-duplicated by (rule, file, line); each match flagged High. Both invocations are recorded in the audit trail. Exhaustive; when the tool is absent, or when its output cannot be parsed into the expected shape, the dimension is WITHHELD as an explicit measurement gap on our side — unscored and excluded from the lens, never a hedged middling score.
What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.
Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.
Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).
What it measures: Whether any dependency has a known published vulnerability (CVE), direct or transitive, in ANY ecosystem the repository declares — 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 Critical vulnerability finding(s) in Dependency Vulnerabilities — start with REDACTED (2). — One of this dimension's main actionable groups (2 issue-level).
Resolve the 1 Critical CVE finding(s) in Dependency Vulnerabilities — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).
Resolve the 1 High CVE finding(s) in Dependency Vulnerabilities — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).
Detailed fixes: d30_recommendation.md · top locations in Appendix A, every location in findings.md.
Resolve the 2 High IaC finding(s) in IaC & Container Security — start with REDACTED, REDACTED. — One of this dimension's main actionable groups (2 issue-level).
Resolve the 16 Medium IaC finding(s) in IaC & Container Security — start with REDACTED (14), REDACTED (2). — One of this dimension's main actionable groups (16 warning-level).
Resolve the 6 Low IaC finding(s) in IaC & Container Security — start with REDACTED (6). — One of this dimension's main actionable groups (6 recommendation-level).
Detailed fixes: d31_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.
Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.
5 of 37 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/repository-template.cs. Counted over 37 of the 42 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.
Resolve the 5 Orphaned file finding(s) in Knowledge Freshness — start with repository-template.cs, service-template.cs, validate_package.py. — One of this dimension's main actionable groups (5 recommendation-level).
Resolve the 1 Orphaned files with no living knowledge finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.
Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.
Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling. A non-source file is never a coupling PARTICIPANT either: documentation, schemas, config and data files are dropped with the rest, so a code↔docs pair — a command and the reference page that restates it — is not reported however strongly the two co-change; nor is coupling that runs THROUGH a build step or config file.
What it measures: Whether the build pipeline provides supply-chain integrity — generated provenance/attestation, signed artifacts (cosign/sigstore), an SBOM, and pinned build actions. Presence of the configuration, not a runtime guarantee.
Method: Supply-chain provenance/signing read deterministically from CI/build config (.github/workflows, .gitlab-ci.yml, azure-pipelines, Jenkinsfile, .circleci) + the release surface: four signals — generated provenance/attestation (SLSA/in-toto/actions-attest), artifact signing (cosign/sigstore/gitsign), an SBOM (syft/sbom-action/*.spdx.json/*.cdx.json), and SHA-pinned build actions — scored 10·present/denom. NotApplicable without a build pipeline. Detects configuration presence, not runtime enforcement.
What it measures: Whether Kubernetes workloads restrict network EGRESS with a NetworkPolicy (or Cilium policy), limiting where a compromised pod can send data or reach a command-and-control server. Presence of committed egress-restricting policy, not runtime enforcement.
Method: Deterministic YAML-manifest inspection (no external tool, no Roslyn — language-agnostic): Kubernetes workloads gate applicability; credits a NetworkPolicy / Cilium policy that restricts egress (policyTypes: [Egress] / egress rules). Reward-leaning (neutral floor climbing to 10, never a deduction — baseline misconfigs stay with D31). Deterministic.
What it measures: Whether Kubernetes workloads confine the kernel boundary — a seccomp profile (RuntimeDefault/Localhost) plus an AppArmor/SELinux mandatory-access-control layer — shrinking the syscall attack surface a container escape would use. Presence of committed confinement config, not runtime enforcement.
Method: Deterministic YAML-manifest inspection (no external tool, no Roslyn): on Kubernetes workloads, credits a seccomp profile (RuntimeDefault/Localhost) and an AppArmor/SELinux MAC layer. Reward-leaning (neutral floor climbing to 10); NotApplicable without workloads. Deterministic.
1/1 workload(s) run every container under a seccomp profile; 0/1 declare an AppArmor/SELinux profile.
What to do
Improve Kernel & Syscall Confinement — currently 8.0/10. — 1/1 workload(s) run every container under a seccomp profile; 0/1 declare an AppArmor/SELinux profile.
What it measures: Whether any dependency the repository declares is published as MALICIOUS rather than merely vulnerable — 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 — 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 — 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 — 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 — `requires-python = ">=3.8"` states what a package SUPPORTS, not what it runs on — 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 — never scores it clean.
0 end-of-life runtime(s) and 0 end-of-life framework(s), read from 0 platform declaration(s) and 10 dependency declaration(s). This dimension reads what the repository says about ITSELF — 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 · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified. How each file's role is decided, because the split is only as good as that: a generated name or a build-output tree makes it Generated, a test project makes it Test, and otherwise the file's NAMESPACE and PATH words are matched against fixed vocabularies in a fixed ORDER — domain, then infrastructure, then application — so a file whose words hit two layers is counted under the earlier one. A production file matching none of them counts as application, so that share reads 'application or unclassified' rather than a measured application layer. Roles come from naming convention, never from what the code does. On this repository the split was taken from the source tree on disk rather than from a loaded .NET workspace, so a file's role is decided by its PATH segments alone — no declared namespace was available to add to the evidence — and generated output is excluded from the census entirely rather than counted as a generated share.
Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.
Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.
What to do
The domain core is a small share of production code, but most of the rest matched no layer vocabulary at all — so this is not yet an anemic-domain finding. The namespace/path convention could not place that code, which makes the composition above a statement about the naming, not about the design. Name the layers (or check that the repository's conventions differ from the ones this check knows) before reading a thin domain into it.
Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).
Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.
Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.
Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.
Other · Architecture — Whether interfaces stay focused rather than fat — the Interface-Segregation principle (SOLID 'I').
Method: Roslyn scan: public interface declared-member counts (accessors fold into their property/event); fat-interface threshold (over 15 declared members) flagged per type. Each finding also reports the distinct-OPERATION count — members counted by name, so an overload group counts once — which decides whether it states the caller-side ISP harm or the implementer-side burden of an overload set. TypeScript: exported interfaces that declare behaviour, counted over their REQUIRED operations (method signatures and function-typed properties with no `?`, once per signature) — data-shape interfaces and ambient .d.ts declarations are outside the population; JavaScript declares no interfaces and is not applicable. Deterministic, type-level.
Other · Code Health — 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 · Code Health — 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 · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.
Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.
What to do
Explain in the README how to run the tests. Add a section called Testing to the README in the repository's top folder, saying how to run the test suite.
Add a README to the 1 of 2 project(s) that lack one — worth up to 1 pts.
Maturity · Maturity — Whether the repo is organised deliberately — src/test separation and consistent project naming.
Method: Filesystem scan: src/test folder separation and namespace-prefix consistency (majority RootNamespace agreement). Exhaustive across projects, deterministic.
Production code isn't grouped under a src/ folder — it all sits under plugins/ alongside the root build files, so the conventional src/ boundary between the product and its tooling isn't drawn.
What to do
Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.
Maturity · Maturity — Whether the README actually describes the code that exists (LLM-judged, advisory).
Method: Judged by language model at low temperature: README accuracy versus actual projects, within a disclosed tolerance. Advisory, not a measured number.
Readiness · Readiness — Whether an automated pipeline builds and tests every change.
Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.
Do you agree with this assessment?
P10 · Library API & versioning10.0 / 10Exemplary○ Nothing flagged
Readiness · Readiness — 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.
Do you agree with this assessment?
P2 · Observability0.0 / 10Critical✓ Tool-verified
Readiness · Readiness — Whether the code is diagnosable in production — structured logging, tracing/metrics, health checks.
No logging call was found in the 17 Python production file(s) this check read across 2 module(s). Each was searched for its ecosystem's logging libraries (Python: logging, structlog, loguru) and for a call on a receiver named `log`/`logger` (or ending in `Logger`/`_logger`) with a level verb. It cannot see logging through a repo-local wrapper named otherwise, or in source it did not read — this is 'no logging found by this walk', not a verdict that nothing here logs. If it is right, production issues will be hard to diagnose.
What to do
Log through `logging.getLogger(__name__)` (or structlog) with a JSON formatter at meaningful points in the modules you run.
Consider OpenTelemetry tracing/metrics (opentelemetry-sdk) and a health-check endpoint (a /health route) for operability.
Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.
No static application security testing detected. For this repository's stack, add bandit, `semgrep --config=p/python`, or CodeQL's python pack as a CI step. What was searched, so you can tell an absence from a miss: the 43897 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.
What to do
Add a SAST step to CI running what this repository's stack ships: bandit, `semgrep --config=p/python`, or CodeQL's python pack — so a security regression fails the build instead of landing.
Dependabot is configured but does not watch `github-actions`, `pip` — add those `package-ecosystem` entries to REDACTED so those dependencies get the same automatic update and advisory pressure as the ones it already covers.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.
Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.
What to do
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
Do you agree with this assessment?
P5 · DR & Backup0.0 / 10Critical✓ Tool-verified
Readiness · Readiness — Whether disaster recovery is planned and codified — backups, geo-recovery, RTO/RPO, persistence guarantees — from IaC + container manifests + docs, never the live cloud.
Method: Filesystem scan: disaster recovery, backup, geo-recovery, RTO/RPO, persistence guarantees from IaC, manifests, and docs. Exhaustive, deterministic, never a live environment.
A persistence guard (data volume / purge-protection) was found, but no backup, geo-recovery or RTO/RPO controls were evidenced — a volume that survives a container recreate is not a tested restore from catastrophic loss.
What to do
Codify backups + geo-recovery in IaC and document RTO/RPO and the restore procedure — a persistence guard alone is not disaster recovery.
Readiness · Readiness — Whether releases are traceable — a maintained changelog and explicit version stamping.
Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.
No CHANGELOG/HISTORY/RELEASES file — what shipped when isn't easy to reconstruct for support or audit. (Versioning/tagging makes releases traceable, but a changelog records the what.)
What to do
Keep a changelog (e.g. Keep-a-Changelog) recording what shipped in each release.
Readiness · Performance — Whether asynchronous code stays responsive — it avoids sync-over-async blocking (a .NET .Wait()/.GetAwaiter().GetResult(), a time.sleep or blocking HTTP call inside a Python coroutine, a *Sync call inside an async JavaScript function, block_on inside a Rust async fn, runBlocking inside a Kotlin suspend function, block() inside a Reactor publisher) that stalls a thread or event loop and risks deadlock, and, where the code is a reusable library on .NET, awaits with ConfigureAwait(false) so it never captures and stalls its caller's context.
Method: Production-source scan: sync-over-async blocking counted everywhere — .Wait()/.GetAwaiter().GetResult() in .NET; off .NET, read from the language model, a blocking call inside an async function (Python, TS/JS, Rust, Kotlin, Swift, Dart) or inside a Java method returning a Reactor Mono/Flux or a Scala method returning a Future or effect — and, for a .NET library with ≥5 awaits, the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.
Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.
Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.
Other · Code Health — Whether any branch is dead by construction — a switch arm whose label can never equal a case-normalised subject, or an `else if` whose predicate the arm above has already swallowed.
Method: Roslyn syntax + semantics: switch labels compared against the subject's own case normaliser, and if/else-if chains checked for a literal an earlier arm's containment test already swallows. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X13 · Undrained process stream10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a child process that has BOTH standard streams redirected drains both — reading one to the end while the other is never read deadlocks once the child fills the unread pipe.
Method: Roslyn syntax + semantics: ProcessStartInfo launches with both streams redirected, checked for a drain of each stream across the enclosing type. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `spawn` imported from `child_process` whose stdout and stderr are both pipes (no options, no `stdio`, or `stdio` of `'pipe'`), bound to a local that never leaves its scope, where exactly one of the two streams is read, the other never, and the child’s `close`/`exit` (or the read stream’s end) is awaited; a shell redirect in the call’s arguments or a `kill` of the child suppresses it. The same rule reads Python’s `subprocess.Popen`, Dart’s `Process.start`, Ruby’s `Open3.popen3`, and Scala’s JDK process starts (`new ProcessBuilder(…).start()` with no `redirectErrorStream`/`redirectError`/`redirectOutput`/`inheritIO`, `Runtime.getRuntime.exec`) where one of `getInputStream`/`getErrorStream` is read and the other never while `waitFor()` is called or the read stream is read to its end. Deterministic, provable per finding. Advisory.
Other · Security — Whether a hand-rolled public/private IP check can be walked past — a method that unwraps IPv4-mapped IPv6 but returns the opposite verdict for the same host written as IPv4-compatible, 6to4 or NAT64.
Method: Roslyn syntax + semantics: methods that unwrap IPv4-mapped IPv6 and hand-roll IPv4 range carve-outs, checked for whether the IPv6 branch also accounts for the IPv4-compatible, 6to4 and NAT64 embeddings. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X15 · Unvalidated length from an untrusted reader10.0 / 10Exemplary○ Nothing flagged
Other · Security — Whether a length read out of the stream being parsed is bounded before it is allocated or read — an unchecked count taken from the input lets the input choose the allocation.
Method: Roslyn syntax + semantics: integer lengths read from a BinaryReader and spent on a bulk read or an array allocation, checked for any comparison or bounding call on the value anywhere in the method. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a loop that shortens a string until it fits a length budget has a floor — one with none grinds the value down to the empty string, or past it into a negative-length `Substring`.
Method: Roslyn syntax + semantics: while/do loops whose body's only effect on a string is to drop its last character, checked for whether anything — a direct comparison on the length, a body guard, a break — bounds that length below. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `while`/`do` loop whose body’s one assignment to a value is `x = x.slice(0, -1)` or `x = x.slice|substring|substr(0, x.length - 1)`, driven by a condition that reads `x.length` only as a term of a larger expression — never compared directly, never tested for truthiness, and with no other read of `x` — and whose body has no `break`, `return`, `throw` or `if` naming `x`. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X17 · Uncapped recursion over a caller-supplied document10.0 / 10Exemplary○ Nothing flagged
Other · Security — Whether a walk that recurses through a JSON/XML tree handed in by its caller bounds how deep it will go — an uncapped walk lets the document's nesting choose the stack depth, and the resulting StackOverflowException cannot be caught.
Method: Roslyn syntax + semantics: methods that take a JSON/XML document node and call themselves with a child of it, reachable from an externally-callable member of the same type that accepts a document, checked for any depth parameter, descent counter or threaded arithmetic anywhere in the walk. On a repository with no .NET source it reads TypeScript off the engine’s own token stream (test, vendored, generated and minified paths and `.d.ts` not) with the same rule: a function or method with a parameter typed as a document value — `unknown`, `any`, `object`, `Record<string, unknown|any>`, a JSON alias (`JsonValue`, `JSONObject`, …) or a DOM node global the file does not rebind — that calls itself (bare, or through `this` for a method, or hands itself to a call over the value as in `value.map(walk)`) with something it took out of that value and never through an ancestor accessor such as `closest()` or `parentElement`, that is exported or reached from an exported function (a public method of the same exported class) taking such a value, and that names no depth, level, nesting, recursion, remaining or budget anywhere and threads no `+`/`-` arithmetic through a self-call. Plain JavaScript is not read: with no annotation nothing tells a parsed document from a tree the code built itself. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a type's disposal matches what it OWNS — releasing what it created, leaving alone what it was handed, and not declaring a finalizer for state that has nothing unmanaged to finalize.
Method: Roslyn syntax + semantics: every assignment to a disposable field is read to decide whether the type CREATED the value or was handed it, and the type's disposal is checked against that answer — an injected interface it disposes, a value it constructed and never releases, a finalizer on a type holding nothing unmanaged, and a disposable local whose every reference is a plain member read. A value handed to a container that disposes its contents (a parent control's `Controls` collection, a component `IContainer`) is released by that container and is not reported; generated code is out of population. On a repository with no .NET source the same ownership questions are read in JavaScript/TypeScript off the engine’s own token stream (test, vendored, generated and minified paths not): a class declaring `dispose()`, `[Symbol.dispose]()` or `[Symbol.asyncDispose]()` that disposes a field it was handed through a constructor parameter typed as a repository interface or resolved by a dependency-injection container; that assigns a field only ever from `new X(…)` of a disposable class and neither releases it anywhere in the class nor names it in its disposal member or a method that member calls, nor hands it to anything else; and a `const`/`let` local built from literals only whose every reference opens a statement operating on a non-release member of it. A class is disposable when every repository declaration of its name declares or inherits a disposal member, or when it is a documented library disposable (`vscode` EventEmitter, CancellationTokenSource and Disposable; three.js geometries, materials, textures, render targets, renderers, controls and composers). The finalizer arm has no JavaScript counterpart: a class cannot declare one. Dart is read for the owned-and-never-released arm: a Flutter `State` (or a class declaring `dispose()`/`close()`) whose library-private field is written only with direct creations of a framework controller, `FocusNode`, `StreamController` or periodic `Timer` (or a `.listen(…)` into a field declared `StreamSubscription`), which nothing in the class or its library releases (`dispose`/`close`/`cancel`) and which is never handed on except as a named argument. Ruby is read for the owned-and-never-released arm and the abandoned-local arm: a class declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose instance variable is written only with a blockless core descriptor creation (`File.open`/`new`, `Tempfile`, `Dir.open`, `IO.popen`, the `socket` and `openssl` socket classes) that no method of the class closes and that is never handed on (passed, returned, stored, exposed by `attr_reader`, delegated) — a class whose superclass or mixin lies outside the repository is not judged — and a blockless creation read through and dropped (`File.open(path).read`) or held in a local that is never closed, returned, passed or stored (a `&:read` block-pass, an `autoclose: false` borrow and a `fileno` hand-over are not abandonment). PHP is read for the same two arms: a class (not a trait, and not one using a trait) declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose `private` property (or a `final` class's `protected` one) is written only with a direct core `fopen`, `tmpfile`, `popen`, `proc_open`, `fsockopen`, `stream_socket_client`/`server` or `opendir` that nothing in the class closes (`fclose`, `pclose`, `closedir`, `unset`, a reset to `null`) and that is never handed on, and a handle held in a function's local, or read through as the argument of a reader, that is never closed, returned, passed, captured or stored; a `php://` stream, `curl_init`, `SplFileObject`, `PDO` and a function the repository declares under the core name are not read. Deterministic, provable per finding. Advisory.
`_context` is never created by `UnitOfWork` — every assignment to it takes a constructor parameter — yet this type disposes it here (line 427). Its declared type `AppDbContext` is an interface, so the instance came from whoever resolved it, and that owner decides when it ends. Disposing it from here reaches outside this object's lifetime: a dependency shared with the rest of the process is torn down when THIS instance goes away, and the real owner's later `Dispose()` runs a second time on an object already disposed. Drop the call — a type disposes what it constructed, and only that. If this dependency genuinely is exclusive to this instance, construct it here (or take an owned factory) so the ownership is stated in the code rather than assumed. — plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/repository-template.cs:427
What to do
Each finding names the value and the span that decides who owns it — the `new` that created it, or the constructor parameter that handed it over. Confirm ownership from that span, then make the disposal match it: release what this type created, leave what it was injected with to whoever created THAT, and drop a finalizer whose type holds nothing unmanaged to release.
Other · Code Health — Whether a method that temporarily changes state belonging to the whole process — the working directory, an environment variable — puts it back on EVERY path: a restore reached only when nothing throws leaks the change to the rest of the process.
Method: Roslyn syntax + semantics: method bodies that write the process working directory or an environment variable and write it back in the same body, checked for whether that restore sits in a `finally`/`catch` or only on the straight-line path. On a repository with no .NET source the same rule reads production JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not): `process.chdir`, `process.env.NAME =`/`["NAME"] =` and `delete process.env.NAME`, and Deno’s `Deno.chdir`/`Deno.env.set`/`Deno.env.delete`, paired per function body (a nested function or arrow is its own body, and module top-level code is none), where the last write puts back a local the body captured from the same global or deletes a variable the first write set, with at least one statement between them; a write in a `catch`/`finally` of that body silences it. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether async methods accept a CancellationToken so work can be cancelled (adoption curve).
Method: Roslyn scan: every async method (excluding framework-fixed overrides/Blazor handlers) checked for CancellationToken parameter presence. Deterministic, adoption percentage. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same question: every named async function that itself makes a request an AbortSignal can cancel (global `fetch`, axios and its file-local instances, ky, ofetch) counts, and it is compliant when its parameters or body name a signal or it hands one of its own parameters to the request as options; signatures a framework fixes (JSX event handlers, route and lifecycle exports, request-first handlers, `override`, `'use server'` modules, TanStack `mutationFn`) are exempt unless they take a signal. Deterministic, adoption percentage.
Other · Code Health — Whether an argument guard throws the exception its own condition describes — 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` — 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 · Code Health — Whether a `when` guard is free of side effects — a guard that increments a counter or assigns while deciding whether its arm matches applies that change during PATTERN MATCHING, on an arm that may not be selected, and skips it entirely when a short-circuit to its left answers first.
Method: Roslyn syntax: `when` guards on case labels and switch-expression arms, read for a mutation (`++`/`--`/assignment) sitting in a position the guard's own `&&`/`||`/`??`/`?:`/`?.` can skip. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a method that TAKES a lock or semaphore and gives it back from a flag-guarded `finally` returns the value that flag implies — reporting success while the guard hands the primitive back admits a second caller the exclusion was there to keep out, and reporting failure while the guard keeps it leaves nothing to ever give it back.
Method: Roslyn syntax: `try` statements whose `finally` releases a synchronisation primitive under a bare local-bool guard, where the method also TOOK that same primitive before the `try`, checked for a `return` of a bool literal whose value disagrees with the flag state the method's own straight-line assignments put it in. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether the work a diagnostic log line costs is paid only when that line is wanted — C# evaluates a call's arguments BEFORE the call, so a trace/debug message joined or projected out of a collection is built in full on every pass, and then discarded by a sink the shipped configuration leaves switched off.
Method: Roslyn syntax: log calls at a diagnostic level (a `Log`-prefixed method naming Trace/Debug/Verbose, or a bare `Debug`/`Trace`/`Verbose` on a receiver named for a logger), whose argument list is read for a call whose cost scales with a sequence — a LINQ operator, a materialisation, `string.Join`, a serializer — with no enclosing level check or conditional-compilation region. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `debug`/`trace`/`verbose` call on a receiver named for a logger, or a `log`-prefixed method naming the level, whose argument calls an array operator (`map`/`filter`/`reduce`/`sort`/…), `Array.from`, `Object.keys/values/entries`, `JSON.stringify`/`util.inspect` over anything but a literal, or an array `join` — outside any arrow or function passed as an argument, which the logger calls only when the level is on — with no enclosing `if`, `&&` or `?:` whose condition names a level, a level string, or the `NODE_ENV`/`__DEV__`/`DEV` build switch. Deterministic, provable per finding. Advisory.
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X24 · Document value interpolated into markup unescaped10.0 / 10Exemplary○ Nothing flagged
Other · Security — Whether text read out of the document being converted is escaped before it is written into generated markup — a value the document's author chose, interpolated into an attribute the surrounding literal delimits, can close that attribute and open another.
Method: Roslyn semantic model over the whole compilation: a string-typed `Value`/`InnerText`/`InnerXml`/`Text` member declared inside `DocumentFormat.OpenXml` or `System.Xml` is a taint SOURCE, propagated through assignments, returns, arguments, tuple elements and string composition to its transitive closure, then read at interpolated-string holes that sit in a markup position the surrounding literal itself delimits. Escaper/encoder calls and enclosing validator conditions cut the flow. Flow- and container-insensitive by construction. A second arm needs no provenance at all and reports a type that CONTRADICTS ITSELF — the same expression escaped at one delimited markup hole and interpolated raw at another hole in the same markup position of the same type, which the type's own escaping proves is a defect without knowing where the value came from. On a repository with no .NET source it reads JavaScript/TypeScript off the token stream with the same rule: a DOM read of raw document text (`getAttribute`, `textContent`, `innerText`, `nodeValue`) is the source, propagated through local bindings and string composition, and judged at template-literal and concatenation holes in the same two delimited markup positions; escapers and validating conditions cut it, and documentation-site, test, vendored and minified scripts are not read. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a value the caller is invited to supply is the value the type actually uses — a constructor parameter stored in a private field that nothing ever reads while the default it was given is spelled out a second time at the site that should have read it, a keyed lookup that falls back to a different setting than the one its key names while the same type falls back to the matching one for that same key, or a culture-sensitive parse given no format provider by a type that feeds its own settable culture to the same kind of parse elsewhere, or a number an entry point writes to standard output under the host's culture while the same entry point formats with the invariant culture elsewhere. Either way, every caller who supplies a value silently gets something else.
Method: Roslyn syntax: private instance fields of a non-partial type assigned in a constructor from one of its own parameters with a `??` fallback, checked for whether anything in the type body reads the field and whether that same fallback expression is spelled out again outside the constructor; and `??` fallbacks onto a member access from a lookup call carrying exactly one string literal, grouped by that key across the type and checked for a fallback member whose folded name disagrees with the key while a sibling site for the same key agrees with it. On a repository with no .NET source the first two arms read JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `#x`, `private` or `private` parameter-property instance field filled in the constructor from a parameter (or one member of one) through `??`/`||` or a parameter default, never read anywhere in the file by name, whose constructed default is spelled again in the class body; and `lookup("key") ?? s.member` grouped by key per class, or per module outside every class. The culture arm has no JavaScript counterpart: its parses take no locale. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether a value handed from a callback to the body that waits on it crosses on something built to be crossed — 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 — 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 engine’s 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.
Do you agree with this assessment?
X28 · Index access outside its own emptiness guard10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a condition that tests a value for emptiness indexes that same value only where the test holds — an `||` written one parenthesis too far to the left leaves an index access outside the guard beside it, so the empty case the guard exists to anticipate reaches the index and throws.
Method: Roslyn syntax only, no semantic model: the OUTERMOST `&&`/`||` of every boolean condition, read for a symbol the condition tests for emptiness (`string.IsNullOrEmpty`/`IsNullOrWhiteSpace`, a `Length`/`Count` comparison against a literal, `Any()`, a `Length`/`Count` pattern, or a comparison against `""`) and ALSO indexes. Each `symbol[...]` access is placed by a boolean-reachability walk from the access up to the outermost connective: an access is COVERED when some enclosing step has it in the right operand and the left operand, under the truth value that step forces, proves the symbol non-empty — a recursion over `&&`/`||` whose true- and false-directions are asymmetric. A finding needs BOTH an uncovered access and a covered one on the same symbol in the same condition, which is the agreeing twin that separates a misplaced parenthesis from an unrelated length test. Bare index accesses with no emptiness test in the condition are neither counted nor reported; a non-identifier receiver and a lambda nested inside the condition are outside the population. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X29 · Per-element action decided by a fixed element10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a decision taken once per element is taken ABOUT that element — a test inside a counted loop that reads a fixed subscript of the very collection its guarded statement indexes by the loop variable applies element zero's answer to all of them, so the elements that differ from it are all handled wrongly, and in the same direction.
Method: Roslyn syntax only, no semantic model: every `for` statement declaring exactly ONE loop variable, and every `if` inside its body that is not under a nested loop or a lambda. A site enters the population when the `if`’s condition never mentions the loop variable while the statement it guards indexes some collection by that variable ALONE (`c[i]`; `c[i + 1]` and `c[i, j]` are outside it). A finding additionally needs the AGREEING TWIN at the same-collection grain: the condition must read THAT SAME collection at a subscript that does not move — written into the condition, or reached through a local declared BEFORE the loop, so an alias bound inside the body is not followed. Both collection expressions must be simple identifiers. On a repository with no .NET source the same rule reads JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `for (let|var|const x = …; …; …)` with one declarator and a braced body, an alias followed only when it is declared before the loop in a block that encloses it and never assigned inside the loop. Deterministic, provable per finding. Advisory.
Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.
Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.
Do you agree with this assessment?
X30 · Support guard that admits what it rejects10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a guard written as a NEGATED `||` says what its author meant — `!(a || b || x != k)` is `!a && !b && x == k` by De Morgan, so a bail-out that mixes capabilities the code needs with a fault it refuses turns inside out: it fires only where the capabilities are ABSENT, and lets every value the fault term names walk straight into the body that cannot handle it.
Method: Roslyn syntax only, no semantic model: every logical-not whose operand is a parenthesised `||` chain of two or more disjuncts, flattened (a left-nested `a || b || c` read once would see `(a || b)` as one disjunct). A site enters the population on that shape alone. A finding additionally needs the disjuncts to DISAGREE in polarity: at least one bare boolean read — an identifier or member access, never an invocation, which is a predicate rather than a capability flag — and at least one `x != <constant>`, the only form that negates into an exact-value pin (`== null` negates into a looser requirement and is outside the fault set). Consistently-polarised disjunctions, all-fault or all-capability, are counted and never reported; a negated `&&` is outside the population entirely. No same-receiver gate: it was measured to cost a real defect and remove no false positive. Deterministic, provable per finding. Advisory.
Do you agree with this assessment?
X32 · Type resolved by simple name across every loaded assembly10.0 / 10Exemplary○ Nothing flagged
Other · Code Health — Whether a plugin lookup names the type it means — 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 — 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 chain’s 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 · Code Health — 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 engine’s 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 library’s `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`…`debug`, `log`) on a logger (`$logger`, `$this->logger`, Laravel’s `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 Sentry’s structured logger (`Sentry.logger`) whose message is a whole string literal interpolating a value (`$name`, `${…}`); 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 gem’s `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 (`#{…}`, `#@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 · Code Health — 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 — `#nullable enable` at its top, or commit a project file with <Nullable>enable</Nullable> — and resolve warnings rather than suppressing with `!`.
Do you agree with this assessment?
Reference — 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 …") and is never the strongest area however high its average.
Unscored — 2 check(s) recorded observations but carry no score
These checks ran and found something, but they do not carry a score — either by design (an advisory check reports evidence rather than grading it) or because they could not be scored here. They are excluded from the score for that reason, not because there was nothing to see.
X10 Duplicated predicate — 6 observation(s) recorded · Advisory — this card reports evidence and never carries a score.
X7 Silent fallback defaults — 3 observation(s) recorded · Advisory — this card reports evidence and never carries a score.
Not included — 49 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 — No web markup found — accessibility is not applicable to this repository.
AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
AX1 Captive dependencies — no DI registrations detected
AX2 Stateful singletons — no singleton implementations detected
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX8 Test isolation — no test/production split to check
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
AXR1 Runtime accessibility — the service exited before it opened a port — `/tmp/wd-venv/bin/python -m uvicorn 'plugins.backend-development.skills.api-design-principles.assets.rest-api-template:app' --host 127.0.0.1 --port 8000`: _and_load
File "<frozen importlib._bootstrap>", line 1331, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 935, in _load_unlocked
File "<frozen importlib._bootstrap_externa…; runtime evidence skipped (launch chosen because REDACTED defines the FastAPI application 'app' at module level) This is a statement about this run, not a statement about your application: nothing here says the surface is inaccessible, only that it was never rendered.
C1 Data Protection — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), 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 — No access-control surface detected in the analyzed source — 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 — 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 — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), 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 — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), 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 — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), 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 — ~7221 lines of test source are present (.py) but no test cases reached the test census for this repository — no test root we could resolve declared them, or the files we read declare no cases in a test framework we recognise — so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D12 Dependency Hygiene — Not scored — 10 shipped Python distribution(s) were read, but the outdated signal needs pypi.org, and no declaration here carries an exact pin to ask about — a floor or a range installs the newest release it admits and cannot be behind one, so this dimension's own question is only partly answered. NOT a finding that these dependencies are current or healthy.
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
D21 Naming Consistency — Naming consistency is measured on C# only; Python not measured.
D22 Internal API Consistency — API consistency is measured on C# only; the exposed Python surface was not measured.
D23 Boundary Type-Coupling — No bounded-context organisation was detected either — neither a context-shaped layout, nor 2+ sibling source directories each declaring an aggregate root, nor 2+ projects each declaring an entity of their own. Declaring this codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value — D24 reads C# and Visual Basic comments only — this repository's production source is .py, which was left unread. Not scored: this is a gap in the analyzer, not a verdict about this repository.
D25 ADR Conformance — None of 0 binding record(s) states a rule in checkable form (a backticked element with a prohibition, or an `adr-rules` block), so conformance cannot be read from the code. Write the rule as an `adr-rules` block (`forbid:` a symbol, a package or a dependency) to make it checkable.
D26 Project Cohesion — 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 — this is a gap in the analyzer's reach, not a verdict about this repository.
D27 Navigability — D27 counts a call into the standard library or a dependency as unresolved for this repository's language (.py), 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.
D32 Data Compliance (PII/GDPR) — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.
D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D42 Runtime Threat Enforcement — The repository ships application workloads but no cluster-governance resources (CRDs, admission webhooks, or a committed policy engine). Runtime threat-detection (Falco/Tetragon) and admission control (Kyverno/OPA-Gatekeeper/PodSecurity) are cluster-OPERATOR controls owned by the platform, not shipped by an application repo/chart — nothing for this repo to assess.
D8 Code Coverage — Coverage not included — suite not readable by the collector
DM1 Domain Modelling — not scored — this repository shows only 1 of the 3 signals this lens looks for (30 value object(s))
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this lens looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable (this repository commits no MSBuild project, so its C# was read as syntax-only projects — a handler marked ONLY by an interface from a package is not visible without a build)
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this lens looks for
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, and the automatic-re-run check to any GitHub-Actions workflow, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
P7 Outbound HTTP resilience — not measured — the application kind could not be determined for this repo
P8 Schema migrations — no ORM, schema-migration tool or schema auto-create was found in this repository's dependency manifests or source, so there is no database schema for this check to judge
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures, or wire coverage collection into CI, to enable this cross-layer check
PF1 Benchmark discipline — Performance is assessed only for perf-relevant repos — 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 — Performance is assessed only for perf-relevant repos — 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.
S1 Web-Security Posture — No web surface detected in the analyzed source — 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 — 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.
X27 Collection changed while being enumerated — 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 — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X9 Subsumed condition operand — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
Appendix A — Findings (grouped)
The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.
TodoComment REDACTED:25— # TODO: Configure this in production, e.g. ["api.example.com"] — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment REDACTED:31— # TODO: Update this with specific origins in production — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment REDACTED:32— # TODO: Set to True if you need cookies/auth headers, but restrict origins — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
Duplicated block (11 lines × 2) tools/doc_gardener.py:214— tools/doc_gardener.py:214-224 | tools/doc_gardener.py:225-235 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (11 lines × 2) tools/install_opencode.py:152— tools/install_opencode.py:152-162 | tools/install_pi.py:151-161 — before extracting anything, compare `tools/install_opencode.py` and `tools/install_pi.py` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 40 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.
Duplicated block (11 lines × 2) tools/validate_generated.py:235— tools/validate_generated.py:235-245 | tools/validate_generated.py:389-399 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (7 lines × 2) plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/repository-template.cs:479— plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/repository-template.cs:479-485 | plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/service-template.cs:305-311 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/repository-template.cs:479` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:61— plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:61-67 | plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py:59-65 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (7 lines × 2) tools/adapters/base.py:27— tools/adapters/base.py:27-33 | tools/adapters/cursor.py:70-81 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (5 lines × 2) tools/doc_gardener.py:324— tools/doc_gardener.py:324-328 | tools/doc_gardener.py:330-334 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (5 lines × 2) tools/yt-design-extractor/yt-design-extractor.py:525— tools/yt-design-extractor/yt-design-extractor.py:525-529 | tools/yt-design-extractor/yt-design-extractor.py:541-545 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `tools/yt-design-extractor/yt-design-extractor.py:521` calls `fmt_timestamp` and `tools/yt-design-extractor/yt-design-extractor.py:537` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
Duplicated block (5 lines × 2) tools/adapters/copilot.py:43— tools/adapters/copilot.py:43-47 | tools/adapters/opencode.py:81-85 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.
Hotspot: tools/doc_gardener.py tools/doc_gardener.py:165— tools/doc_gardener.py changed 8 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 62 in doc_gardener.check_stale_artifacts at line 165. 5 of those changes were fix/bug commits, so the churn is repair rather than feature work. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-07-19..2026-10-17, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-19 17:39:17 -04:00' --until='2026-10-17 17:39:17 -04:00' --full-history --no-merges -- tools/doc_gardener.py`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
Hotspot: tools/generate.py tools/generate.py:138— tools/generate.py changed 3 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 29 in generate.prune_orphans at line 138. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, with the area under test before it moves. Counted over 2026-07-19..2026-10-17, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-19 17:39:17 -04:00' --until='2026-10-17 17:39:17 -04:00' --full-history --no-merges -- tools/generate.py`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
FileTooLong: tools/validate_generated.py tools/validate_generated.py— FileTooLong — 676 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 176 over it, 1.35× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: tools/doc_gardener.py tools/doc_gardener.py— FileTooLong — 653 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 153 over it, 1.31× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
D4 · Code Duplication· Members sharing a duplicated core (4 members, 50+ identical tokens) · ×2
Members sharing a duplicated core (4 members, 50+ identical tokens) tools/install_antigravity.py:66— tools/install_antigravity.py:66-83 | tools/install_copilot.py:73-90 | tools/install_opencode.py:73-90 | tools/install_pi.py:76-93 — These 4 members share a duplicated core: a run of at least 50 identical tokens appears in every one of them. That run is NOT broken out as duplicated-block rows below — it is what admitted this row, and the blocks below cover only the part of it that clears the block floor, so they understate the correspondence. Read the members as one construct written 4 times. The repair is at the members' grain — factor the shared implementation out once and have all of them call it with their differences as parameters or as an injected step, or, where the difference is systematic, generate them from one template. Extracting the individual blocks below is not the same fix: it leaves every body in place and the next edit still has to be made 4 times.
Members sharing a duplicated core (4 members, 50+ identical tokens) tools/install_antigravity.py:180— tools/install_antigravity.py:180-206 | tools/install_copilot.py:194-210 | tools/install_opencode.py:149-162 | tools/install_pi.py:148-161 — These 4 members share a duplicated core: a run of at least 50 identical tokens appears in every one of them. That run is NOT broken out as duplicated-block rows below — it is what admitted this row, and the blocks below cover only the part of it that clears the block floor, so they understate the correspondence. Read the members as one construct written 4 times. The repair is at the members' grain — factor the shared implementation out once and have all of them call it with their differences as parameters or as an injected step, or, where the difference is systematic, generate them from one template. Extracting the individual blocks below is not the same fix: it leaves every body in place and the next edit still has to be made 4 times.
Duplicated block (14 lines × 2) tools/install_copilot.py:160— tools/install_copilot.py:160-173 | tools/install_opencode.py:123-136 — before extracting anything, compare `tools/install_copilot.py` and `tools/install_opencode.py` as WHOLE FILES: this scan already matched 3 separate duplicated blocks between them, totalling at least 37 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (14 lines × 2) tools/validate_generated.py:407— tools/validate_generated.py:407-420 | tools/validate_generated.py:466-479 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/validate_generated.py:407` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (8 lines × 2) plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/service-template.cs:168— plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/service-template.cs:168-175 | plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/service-template.cs:216-223 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/service-template.cs:168` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (8 lines × 2) tools/validate_generated.py:170— tools/validate_generated.py:170-177 | tools/validate_generated.py:599-606 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (8 lines × 3) plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:42— plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:42-49 | plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/unpack.py:35-42 | plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py:41-48 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from all 3 call sites, so a change lands once.
Duplicated block (8 lines × 3) tools/adapters/antigravity.py:93— tools/adapters/antigravity.py:93-100 | tools/adapters/opencode.py:144-151 | tools/adapters/pi.py:72-79 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from all 3 call sites, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `tools/adapters/antigravity.py:93` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (5 lines × 3) tools/adapters/antigravity.py:87— tools/adapters/antigravity.py:87-93 | tools/adapters/copilot.py:28-34 | tools/adapters/pi.py:68-72 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from all 3 call sites, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `tools/adapters/antigravity.py:87` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (5 lines × 3) plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:29— plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:29-33 | plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/unpack.py:17-21 | plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py:29-33 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from all 3 call sites, so a change lands once. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:23` calls `_write_stdout`, `write`, `encode` and `plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/unpack.py:14` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
Duplicated block (6 lines × 2) plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:52— plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:52-57 | plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py:51-56 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (6 lines × 2) tools/install_opencode.py:140— tools/install_opencode.py:140-145 | tools/install_pi.py:139-144 — before extracting anything, compare `tools/install_opencode.py` and `tools/install_pi.py` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 40 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place.
doc_gardener.check_stale_artifacts (cyclomatic 62) tools/doc_gardener.py:165— doc_gardener.check_stale_artifacts has cyclomatic complexity 62 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
validate_package.validate (cyclomatic 36) plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py:75— validate_package.validate has cyclomatic complexity 36 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
base.parse_frontmatter (cyclomatic 36) tools/adapters/base.py:41— base.parse_frontmatter has cyclomatic complexity 36 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
yt-design-extractor.build_markdown (cyclomatic 33) tools/yt-design-extractor/yt-design-extractor.py:428— yt-design-extractor.build_markdown has cyclomatic complexity 33 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
generate.main (cyclomatic 31) tools/generate.py:208— generate.main has cyclomatic complexity 31 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
generate.prune_orphans (cyclomatic 29) tools/generate.py:138— generate.prune_orphans has cyclomatic complexity 29 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
eval_all.build_summary_md (cyclomatic 27) plugins/plugin-eval/scripts/eval_all.py:145— eval_all.build_summary_md has cyclomatic complexity 27 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
validate_generated.validate_pi (cyclomatic 25) tools/validate_generated.py:661— validate_generated.validate_pi has cyclomatic complexity 25 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Reporter.to_markdown (cyclomatic 24) plugins/plugin-eval/src/plugin_eval/reporter.py:35— Reporter.to_markdown has cyclomatic complexity 24 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
validate_generated.validate_opencode (cyclomatic 24) tools/validate_generated.py:382— validate_generated.validate_opencode has cyclomatic complexity 24 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
validate_generated.validate_antigravity (cyclomatic 21) tools/validate_generated.py:530— validate_generated.validate_antigravity has cyclomatic complexity 21 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
doc_gardener.check_arguments_framing (cyclomatic 20) tools/doc_gardener.py:826— doc_gardener.check_arguments_framing has cyclomatic complexity 20 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
yt-design-extractor.main (cyclomatic 16) tools/yt-design-extractor/yt-design-extractor.py:597— yt-design-extractor.main has cyclomatic complexity 16 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
validate_generated.validate_codex (cyclomatic 16) tools/validate_generated.py:114— validate_generated.validate_codex has cyclomatic complexity 16 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
validate_generated.validate_copilot (cyclomatic 16) tools/validate_generated.py:760— validate_generated.validate_copilot has cyclomatic complexity 16 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
doc_gardener.check_stale_artifacts (cognitive 158) tools/doc_gardener.py:165— doc_gardener.check_stale_artifacts has cognitive complexity 158 (threshold 15). Drivers by points: if/else 41 (114 pts), loops 17 (39 pts), error handling 1 (3 pts), boolean chains 2 (nesting depth added 97). To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function.
validate_package.validate (cognitive 65) plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py:75— validate_package.validate has cognitive complexity 65 (threshold 15). Drivers by points: if/else 22 (40 pts), loops 8 (12 pts), error handling 4 (8 pts), boolean chains 5 (nesting depth added 26). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
base.parse_frontmatter (cognitive 61) tools/adapters/base.py:41— base.parse_frontmatter has cognitive complexity 61 (threshold 15). Drivers by points: if/else 16 (44 pts), boolean chains 12, ternaries 1 (4 pts), loops 1 (nesting depth added 31). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
generate.prune_orphans (cognitive 55) tools/generate.py:138— generate.prune_orphans has cognitive complexity 55 (threshold 15). Drivers by points: if/else 16 (44 pts), loops 6 (10 pts), boolean chains 1 (nesting depth added 32). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
validate_generated.validate_opencode (cognitive 55) tools/validate_generated.py:382— validate_generated.validate_opencode has cognitive complexity 55 (threshold 15). Drivers by points: if/else 16 (42 pts), loops 3 (8 pts), boolean chains 3, error handling 1 (2 pts) (nesting depth added 32). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
yt-design-extractor.build_markdown (cognitive 51) tools/yt-design-extractor/yt-design-extractor.py:428— yt-design-extractor.build_markdown has cognitive complexity 51 (threshold 15). Drivers by points: if/else 14 (22 pts), loops 9 (18 pts), boolean chains 8, ternaries 1 (3 pts) (nesting depth added 19). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
validate_generated.validate_antigravity (cognitive 51) tools/validate_generated.py:530— validate_generated.validate_antigravity has cognitive complexity 51 (threshold 15). Drivers by points: if/else 13 (35 pts), loops 4 (7 pts), error handling 2 (6 pts), boolean chains 3 (nesting depth added 29). To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function.
doc_gardener.check_arguments_framing (cognitive 44) tools/doc_gardener.py:826— doc_gardener.check_arguments_framing has cognitive complexity 44 (threshold 15). Drivers by points: if/else 12 (32 pts), loops 3 (6 pts), boolean chains 3, ternaries 1 (3 pts) (nesting depth added 25). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
validate_generated.validate_pi (cognitive 42) tools/validate_generated.py:661— validate_generated.validate_pi has cognitive complexity 42 (threshold 15). Drivers by points: if/else 12 (27 pts), loops 5 (8 pts), boolean chains 7 (nesting depth added 18). To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function.
Reporter.to_markdown (cognitive 36) plugins/plugin-eval/src/plugin_eval/reporter.py:35— Reporter.to_markdown has cognitive complexity 36 (threshold 15). Drivers by points: if/else 17 (22 pts), loops 5 (9 pts), boolean chains 5 (nesting depth added 9). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.
generate.main (cognitive 36) tools/generate.py:208— generate.main has cognitive complexity 36 (threshold 15). Drivers by points: if/else 13 (17 pts), boolean chains 8, loops 5 (7 pts), error handling 2 (3 pts), ternaries 1 (nesting depth added 7). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition.
eval_all.build_summary_md (cognitive 33) plugins/plugin-eval/scripts/eval_all.py:145— eval_all.build_summary_md has cognitive complexity 33 (threshold 15). Drivers by points: boolean chains 12, if/else 7 (9 pts), loops 4 (6 pts), ternaries 3 (6 pts) (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
install_copilot.uninstall (cognitive 31) tools/install_copilot.py:136— install_copilot.uninstall has cognitive complexity 31 (threshold 15). Drivers by points: if/else 9 (24 pts), loops 3 (6 pts), boolean chains 1 (nesting depth added 18). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
validate_generated.validate_codex (cognitive 29) tools/validate_generated.py:114— validate_generated.validate_codex has cognitive complexity 29 (threshold 15). Drivers by points: if/else 11 (22 pts), loops 2 (3 pts), error handling 1 (2 pts), boolean chains 1, ternaries 1 (nesting depth added 13). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
validate_generated.validate_cursor (cognitive 29) tools/validate_generated.py:228— validate_generated.validate_cursor has cognitive complexity 29 (threshold 15). Drivers by points: if/else 9 (18 pts), loops 3 (6 pts), error handling 2 (5 pts) (nesting depth added 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
validate_generated.validate_copilot (cognitive 29) tools/validate_generated.py:760— validate_generated.validate_copilot has cognitive complexity 29 (threshold 15). Drivers by points: if/else 9 (20 pts), loops 4 (7 pts), boolean chains 2 (nesting depth added 14). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
doc_gardener.check_generated_frontmatter_yaml (cognitive 27) tools/doc_gardener.py:360— doc_gardener.check_generated_frontmatter_yaml has cognitive complexity 27 (threshold 15). Drivers by points: if/else 7 (20 pts), error handling 1 (3 pts), loops 2 (3 pts), boolean chains 1 (nesting depth added 16). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
yt-design-extractor.run_ocr_on_frames (cognitive 23) tools/yt-design-extractor/yt-design-extractor.py:286— yt-design-extractor.run_ocr_on_frames has cognitive complexity 23 (threshold 15). Drivers by points: if/else 10 (15 pts), loops 2 (4 pts), error handling 1 (3 pts), boolean chains 1 (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
MonteCarloAnalyzer._compute_statistics (cognitive 22) plugins/plugin-eval/src/plugin_eval/layers/monte_carlo.py:270— MonteCarloAnalyzer._compute_statistics has cognitive complexity 22 (threshold 15). Drivers by points: if/else 14 (17 pts), ternaries 2 (4 pts), boolean chains 1 (nesting depth added 5). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.
yt-design-extractor.main (cognitive 22) tools/yt-design-extractor/yt-design-extractor.py:597— yt-design-extractor.main has cognitive complexity 22 (threshold 15). Drivers by points: if/else 14 (20 pts), boolean chains 2 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
_sdk.collect_sdk_output (cognitive 19) plugins/plugin-eval/src/plugin_eval/layers/_sdk.py:23— _sdk.collect_sdk_output has cognitive complexity 19 (threshold 15). Drivers by points: if/else 5 (15 pts), loops 2 (4 pts) (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
cli.compare (cognitive 18) plugins/plugin-eval/src/plugin_eval/cli.py:158— cli.compare has cognitive complexity 18 (threshold 15). Drivers by points: ternaries 6 (10 pts), if/else 3 (4 pts), loops 2 (3 pts), boolean chains 1 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
StaticAnalyzer._detect_skill_anti_patterns (cognitive 18) plugins/plugin-eval/src/plugin_eval/layers/static.py:145— StaticAnalyzer._detect_skill_anti_patterns has cognitive complexity 18 (threshold 15). Drivers by points: if/else 8 (12 pts), boolean chains 3, loops 2 (3 pts) (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
base.context_paragraph (cognitive 18) tools/adapters/base.py:162— base.context_paragraph has cognitive complexity 18 (threshold 15). Drivers by points: if/else 7 (14 pts), boolean chains 3, loops 1 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
doc_gardener.check_dead_links (cognitive 18) tools/doc_gardener.py:508— doc_gardener.check_dead_links has cognitive complexity 18 (threshold 15). Drivers by points: if/else 4 (9 pts), loops 4 (6 pts), ternaries 2 (3 pts) (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
install_copilot._generated_artifacts (cognitive 18) tools/install_copilot.py:50— install_copilot._generated_artifacts has cognitive complexity 18 (threshold 15). Drivers by points: if/else 5 (12 pts), boolean chains 3, loops 2 (3 pts) (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
doc_gardener.check_marketplace_consistency (cognitive 17) tools/doc_gardener.py:564— doc_gardener.check_marketplace_consistency has cognitive complexity 17 (threshold 15). Drivers by points: if/else 7 (11 pts), loops 3, boolean chains 1, error handling 1, ternaries 1 (nesting depth added 4). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
doc_gardener.check_agent_divergence (cognitive 17) tools/doc_gardener.py:752— doc_gardener.check_agent_divergence has cognitive complexity 17 (threshold 15). Drivers by points: if/else 6 (12 pts), loops 4 (5 pts) (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
doc_gardener.main (cognitive 17) tools/doc_gardener.py:907— doc_gardener.main has cognitive complexity 17 (threshold 15). Drivers by points: if/else 7 (9 pts), loops 3 (5 pts), boolean chains 3 (nesting depth added 4). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition.
cli._run_score (cognitive 16) plugins/plugin-eval/src/plugin_eval/cli.py:37— cli._run_score has cognitive complexity 16 (threshold 15). Drivers by points: if/else 11 (14 pts), boolean chains 2 (nesting depth added 3). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.
cursor._validate_mdc_frontmatter (cognitive 16) tools/adapters/cursor.py:84— cursor._validate_mdc_frontmatter has cognitive complexity 16 (threshold 15). Drivers by points: if/else 7 (11 pts), boolean chains 4, loops 1 (nesting depth added 4). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
install_antigravity.install (cognitive 16) tools/install_antigravity.py:100— install_antigravity.install has cognitive complexity 16 (threshold 15). Drivers by points: if/else 4 (8 pts), boolean chains 4, loops 2 (3 pts), error handling 1 (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Duplicated block (28 lines × 2) tools/yt-design-extractor/yt-design-extractor.py:186— tools/yt-design-extractor/yt-design-extractor.py:186-213 | tools/yt-design-extractor/yt-design-extractor.py:222-249 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/yt-design-extractor/yt-design-extractor.py:186` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (18 lines × 4) tools/install_antigravity.py:66— tools/install_antigravity.py:66-83 | tools/install_copilot.py:73-90 | tools/install_opencode.py:73-90 | tools/install_pi.py:76-93 — before extracting anything, compare `tools/install_copilot.py` and `tools/install_opencode.py` as WHOLE FILES: this scan already matched 3 separate duplicated blocks between them, totalling at least 37 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (12–15 lines × 2) tools/validate_generated.py:716— tools/validate_generated.py:716-730 | tools/validate_generated.py:733-744 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `tools/validate_generated.py:716` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10–14 lines × 3) tools/adapters/codex.py:86— tools/adapters/codex.py:86-95 | tools/adapters/copilot.py:21-32 | tools/adapters/pi.py:57-70 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from all 3 call sites, so a change lands once. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just after the matched lines, `tools/adapters/pi.py:72` calls `isinstance` and `tools/adapters/codex.py:97` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
Duplicated block (13 lines × 3) tools/validate_generated.py:291— tools/validate_generated.py:291-303 | tools/validate_generated.py:412-424 | tools/validate_generated.py:471-483 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (9–12 lines × 2) tools/adapters/antigravity.py:141— tools/adapters/antigravity.py:141-152 | tools/adapters/pi.py:106-114 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (10–12 lines × 3) tools/validate_generated.py:772— tools/validate_generated.py:772-783 | tools/validate_generated.py:790-801 | tools/validate_generated.py:811-820 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `tools/validate_generated.py:809` calls `rglob`, `read_text`, `parse_frontmatter` and `tools/validate_generated.py:790` does not — after which the two agree again for 3 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
Duplicated block (10 lines × 2) tools/adapters/copilot.py:105— tools/adapters/copilot.py:105-114 | tools/adapters/opencode.py:226-237 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once.
Duplicated block (7–10 lines × 2) tools/generate.py:156— tools/generate.py:156-165 | tools/generate.py:171-177 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (9 lines × 3) tools/doc_gardener.py:177— tools/doc_gardener.py:177-191 | tools/doc_gardener.py:222-230 | tools/doc_gardener.py:233-241 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited.
Duplicated block (6–9 lines × 2) tools/adapters/base.py:543— tools/adapters/base.py:543-551 | tools/adapters/base.py:556-561 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (6–7 lines × 3) tools/adapters/codex.py:399— tools/adapters/codex.py:399-405 | tools/adapters/copilot.py:104-109 | tools/adapters/opencode.py:225-230 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from all 3 call sites, so a change lands once.
Duplicated block (5 lines × 4) tools/install_antigravity.py:183— tools/install_antigravity.py:183-187 | tools/install_copilot.py:197-201 | tools/install_opencode.py:152-156 | tools/install_pi.py:151-155 — before extracting anything, compare `tools/install_copilot.py` and `tools/install_opencode.py` as WHOLE FILES: this scan already matched 3 separate duplicated blocks between them, totalling at least 37 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place.
Low cohesion: BaseSpecification (LCOM4 4) plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/repository-template.cs:445— BaseSpecification's methods fall into 4 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 4 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
No structured logging — No logging call was found in the 17 Python production file(s) this check read across 2 module(s). Each was searched for its ecosystem's logging libraries (Python: logging, structlog, loguru) and for a call on a receiver named `log`/`logger` (or ending in `Logger`/`_logger`) with a level verb. It cannot see logging through a repo-local wrapper named otherwise, or in source it did not read — this is 'no logging found by this walk', not a verdict that nothing here logs. If it is right, production issues will be hard to diagnose.
No DR/backup evidence — A persistence guard (data volume / purge-protection) was found, but no backup, geo-recovery or RTO/RPO controls were evidenced — a volume that survives a container recreate is not a tested restore from catastrophic loss.
X18 · Disposal-pattern correctness· Disposes a dependency it does not own · ×1
Disposes a dependency it does not own plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/repository-template.cs:427— `_context` is never created by `UnitOfWork` — every assignment to it takes a constructor parameter — yet this type disposes it here (line 427). Its declared type `AppDbContext` is an interface, so the instance came from whoever resolved it, and that owner decides when it ends. Disposing it from here reaches outside this object's lifetime: a dependency shared with the rest of the process is torn down when THIS instance goes away, and the real owner's later `Dispose()` runs a second time on an object already disposed. Drop the call — a type disposes what it constructed, and only that. If this dependency genuinely is exclusive to this instance, construct it here (or take an owned factory) so the ownership is stated in the code rather than assumed.
Duplicated predicate tools/adapters/antigravity.py:163— `agent.description or f"{agent.name} (from {plugin.name})"` appears character-identically in 5 files — tools/adapters/antigravity.py, tools/adapters/codex.py, tools/adapters/copilot.py, tools/adapters/opencode.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate tools/adapters/antigravity.py:182— `cmd.description or cmd.name.replace("-", " ").title()` appears character-identically in 2 files — tools/adapters/antigravity.py, tools/adapters/pi.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:48— `member.compress_size and member.file_size / member.compress_size > MAX_COMPRESSION_RATIO` appears character-identically in 3 files — plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py, plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/unpack.py, plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate tools/adapters/antigravity.py:147— `not src.is_file() or src.name == "SKILL.md"` appears character-identically in 3 files — tools/adapters/antigravity.py, tools/adapters/opencode.py, tools/adapters/pi.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:55— `path.parent.name != "_rels" or not path.name.endswith(".rels")` appears character-identically in 2 files — plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py, plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate plugins/plugin-eval/src/plugin_eval/corpus.py:49— `skill_dir.is_dir() and (skill_dir / "SKILL.md").exists()` appears character-identically in 2 files — plugins/plugin-eval/src/plugin_eval/corpus.py, plugins/plugin-eval/src/plugin_eval/parser.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Orphaned file plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/repository-template.cs:1— 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.
Orphaned file plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/service-template.cs:1— 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.
Orphaned file plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py:1— 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.
Orphaned file plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py:1— 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.
Orphaned file plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/unpack.py:1— 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.
Silent fallback default on parse failure tools/adapters/base.py:32— `read_plugin_json` returns `{}` when `(OSError, json.JSONDecodeError)` is raised, with no log or raise — a malformed value silently becomes that default. Log the input or fail validation. If that constant is the correct answer rather than a stand-in for a value that could not be read, say so in a comment on the handler or in the docstring, and the row stops firing.
Silent fallback default on parse failure tools/adapters/codex.py:595— `_read_marketplace_root` returns `{}` when `(json.JSONDecodeError, OSError)` is raised, with no log or raise — a malformed value silently becomes that default. Log the input or fail validation. If that constant is the correct answer rather than a stand-in for a value that could not be read, say so in a comment on the handler or in the docstring, and the row stops firing.
Silent fallback default on parse failure tools/adapters/cursor.py:80— `_read_marketplace_root` returns `{}` when `(OSError, json.JSONDecodeError)` is raised, with no log or raise — a malformed value silently becomes that default. Log the input or fail validation. If that constant is the correct answer rather than a stand-in for a value that could not be read, say so in a comment on the handler or in the docstring, and the row stops firing.
Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 9 significant file(s) lose their only recent owner: plugins/plugin-eval/src/plugin_eval/engine.py, plugins/plugin-eval/src/plugin_eval/layers/judge.py, plugins/plugin-eval/scripts/eval_all.py, plugins/plugin-eval/src/plugin_eval/layers/harness_portability.py, plugins/plugin-eval/src/plugin_eval/stats.py, tools/install_opencode.py, plugins/plugin-eval/src/plugin_eval/models.py, plugins/plugin-eval/src/plugin_eval/corpus.py (+1 more). Pair on, review, or document these before any departure.
D34 · Knowledge Freshness· Orphaned files with no living knowledge · ×1
Orphaned files with no living knowledge — 5 of 37 analysed file(s) have no living knowledge left — 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, example/demo and scaffolding-template trees and test files identified by path convention, largest first; 37 of the 42 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 — most significant first: plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/repository-template.cs, plugins/dotnet-contribution/skills/dotnet-backend-patterns/assets/service-template.cs, plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/validate_package.py, plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/inspect.py, plugins/pptx-deck-creation/skills/pptx-reference-deck-analysis/scripts/unpack.py. 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.
Classify ADR enforcement: Architecture Decision Records plugins/documentation-generation/skills/architecture-decision-records/SKILL.md— This record carries no `enforcement:` field, so nothing says whether the decision is checked by anything or is upheld by convention alone — and an unclassified record is counted as UNENFORCED in this dimension's score, which is the same bucket as a rule known to have no check behind it. If this is a mechanizable rule, add an analyzer/test (or `enforcement: analyzer|test`); if it's a design decision, mark `enforcement: not-applicable` so it isn't counted as unenforced.
No src/ separation — Production code isn't grouped under a src/ folder — it all sits under plugins/ alongside the root build files, so the conventional src/ boundary between the product and its tooling isn't drawn.
No SAST — No static application security testing detected. For this repository's stack, add bandit, `semgrep --config=p/python`, or CodeQL's python pack as a CI step. What was searched, so you can tell an absence from a miss: the 43897 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.
No changelog — No CHANGELOG/HISTORY/RELEASES file — what shipped when isn't easy to reconstruct for support or audit. (Versioning/tagging makes releases traceable, but a changelog records the what.)
Nullable reference types not enabled everywhere — 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.
Appendix B — Reproduction & audit trail
Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.
semgrep: not applicable — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
runtime-hardening: not applicable — The repository ships application workloads but no cluster-governance resources (CRDs, admission webhooks, or a committed policy engine). Runtime threat-detection (Falco/Tetragon) and admission control (Kyverno/OPA-Gatekeeper/PodSecurity) are cluster-OPERATOR controls owned by the platform, not shipped by an application repo/chart — nothing for this repo to assess.
Run 01a17204-9716-7164-8f43-0410a5068809 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 10 · Warnings: 111 · Recommendations: 32 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 25-10-2026 @ 07:44 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.