p3c — Watchdog Audit

Executive summary

Read through the Production lens — the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.

alibaba/p3c carries serious gaps (47%). Several issues below can materially affect correctness, security, or the cost of changing it — and propagate to everything that depends on it.

It is strongest in Architecture (100%) — the structure is clean and changes stay contained. Code Health (95%) is solid too.

The area that most needs attention is Readiness (24%) — releases are harder to depend on — versioning, release notes and dependency hygiene are thin, so consumers can't easily tell what changed or trust an upgrade. Maturity (46%) is the next concern — onboarding is slow — key decisions and the architecture aren't written down, so contributors have to reverse-engineer the intent.

Leadership focus, highest impact first: CI workflow that builds and runs the test suite on every push/PR (CI/CD gates); Record significant decisions one document per decision (Architecture documentation); build/run (quick start) section to the root README (Documentation (README)).

For scale: Small (~14,102 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.

Encouragingly, the gaps are in documentation and release process — not in the code's correctness, structure or security, which are strong. They're low-risk to close, and doing so would lift the grade without re-engineering anything that already works.

Code Health 95% ★ Exemplary Architecture 100% ★ Exemplary Maturity 46% Weak · gated by D34, M2 Readiness 24% ⚠ Critical · gated by P1, P3 Security 83% Strong

How the score is built — each lens's share of the headline Width is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.

Readiness 24% · 47% weightMaturity 46% · 26% weightSecurity 83% · 14% weightCode Health 95% · 8% weightArchitecture 100% · 4% weight

Raise Readiness 24 → 70 (the Healthy floor) ⇒ headline 47 → ~64.

Code composition — where the lines go

Tests 100%

New since the last scan (2+)

2 finding(s) are new versus the previous scan (2026-08-01) — surfaced by this scheduled scan itself, no pull request required.

D32 · High: watchdog-sensitive-personal-data-in-log p3c-pmd/src/main/java/com/alibaba/p3c/pmd/fix/FixClassTypeResolver.java
D32 · High: watchdog-sensitive-personal-data-in-log p3c-pmd/src/main/java/com/alibaba/p3c/pmd/fix/FixClassTypeResolver.java

A full-fidelity diff against the previous run's complete recorded findings — line-move tolerant: a finding that only shifted line counts as unchanged, only genuinely new titles/files surface here.

Rebuild cost & value ~ Modeled — €4,400–€22,000

Cost to rebuild	€4,400–€22,000 (0.1 person-years (73–233 h), ~1 engineer)
Domain complexity	Standard — harder problems cost more per line
Quality factor	0.7× (at 47% quality) — the last 20% of quality is most of the work
Size & shape	Small · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)

This codebase represents roughly ~0.1 person-years of build effort (about ~€13,000 to rebuild). Its weakest lens is Readiness at 24% — the part of that asset most exposed by the findings below.

How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.0) — standard service × a 0.7× quality factor, at €60–95/h; indicative, ±~30% · size measured directly from source · effort from total production LoC as straight-line logic (the tier split is a C#-only syntax walk), a conservative lower bound. Indicative only — most sensitive to the hourly rate and the domain tier (both tunable in config).

Top priorities

The highest-leverage moves; the full ranked list is in the Roadmap below.

Add a CI workflow that builds and runs the test suite on every push/PR.

+22.1 pts · Medium effort · CI/CD gates

Resolve the 1 Dormant codebase finding(s) in Knowledge Freshness.

+6.5 pts · Low effort · Knowledge Freshness

Resolve the 1 Largest orphaned file finding(s) in Knowledge Freshness — start with FixClassTypeResolver.java.

+6.5 pts · Low effort · Knowledge Freshness

Diagnosis — what's actually going on

Value concentrated against a weak lens · High · Value at risk

This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Readiness at 24%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.

Evidence: valuation: Small, ~0.1 person-years rebuild (14,102 LoC) · weakest lens: Readiness 24%

→ Direct remediation budget at Readiness first — highest risk-reduction per euro on an asset this size.

Highest-leverage move · Medium · Leverage

Of everything flagged, the best return on effort is: Add a CI workflow that builds and runs the test suite on every push/PR. The rest can wait behind it.

Evidence: priority ranking: top of 5 ranked by impact/effort

→ Add a CI workflow that builds and runs the test suite on every push/PR.

Architecture — module dependency matrix

72 modules, 37 dependencies — 1 dependency cycle, shown as the red cell(s) above the diagonal. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows — an unusual but cycle-free dependency sits below the diagonal like any other.)

At a glance — Code Health · 95% · Exemplary

The Good

D1 · Kotlin Cyclomatic Complexity 9.3 D2 · Kotlin Cognitive Complexity 8.7 D3 · Kotlin God Classes 10.0 D4 · Kotlin Code Duplication 10.0

At a glance — Architecture · 100% · Exemplary

The Good

D35 · Kotlin Change Coupling 10.0

At a glance — Maturity · 46% · Weak · gated by D34, M2

The Good

D15 · Kotlin Churn × Complexity Hotspots 10.0 D21 · Kotlin Naming Consistency 10.0 M3 · Repo Folder & project structure 10.0 M4 · Repo Documentation accuracy 8.0

The Bad

M1 · Repo Documentation (README) 6.8

The Ugly

D34 · Kotlin Knowledge Freshness 0.0 M2 · Repo Architecture documentation 0.0

At a glance — Readiness · 24% · Critical · gated by P1, P3

The Good

D13 · Kotlin Secret Scanning 10.0

The Ugly

P1 · Repo CI/CD gates 0.0 P3 · Repo Security & performance tooling 0.0

At a glance — Security · 83% · Strong

The Good

D28 · Kotlin Secrets (history) 10.0 D29 · Kotlin Static Analysis (SAST) 10.0

The Bad

D32 · Kotlin Data Compliance (PII/GDPR) 5.0

Security & Compliance — OWASP Top-10 mapping

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
A04:2021 — Insecure Design	2	High / Critical

Roadmap

First, establish a CI/CD pipeline to automatically build the project and run tests on every push or pull request. Next, document key architectural decisions in a dedicated `docs/adr/` directory to capture context and consequences. Then, update the root README with a clear build and run section to help new contributors get started quickly. Finally, address knowledge freshness by resolving dormant codebase findings and removing the largest orphaned file, starting with FixClassTypeResolver.java.

Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.

Do this	Helps	Effort	Dimension
Add a CI workflow that builds and runs the test suite on every push/PR.	+22.1 pts	Medium	CI/CD gates
Resolve the 1 Dormant codebase finding(s) in Knowledge Freshness.	+6.5 pts	Low	Knowledge Freshness
Resolve the 1 Largest orphaned file finding(s) in Knowledge Freshness — start with FixClassTypeResolver.java.	+6.5 pts	Low	Knowledge Freshness
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).	+11.7 pts	Medium	Architecture documentation
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.	+8.3 pts	Medium	Documentation (README)
Reconcile the README with reality: README advertises a RAG / ML engine, but no ML/RAG code or dependency exists.	+5.2 pts	Medium	Documentation accuracy
Resolve the 2 High finding(s) in Data Compliance (PII/GDPR) — start with FixClassTypeResolver.java (2).	+2.1 pts	Low	Data Compliance (PII/GDPR)
Resolve the 1 AvoidAccessStaticViaInstanceRule.getVisitor (cognitive 23) finding(s) in Cognitive Complexity — start with AvoidAccessStaticViaInstanceRule.kt.	+0.1 pts	Medium	Cognitive Complexity

File quality

Per-file score 0–10 — a quality signature. Of 6 files carrying findings, judged against the Production bar: 0% slop · 67% mixed · 33% near-clean.

File	Score	Band	Worst signal
p3c-pmd/src/main/java/com/alibaba/p3c/pmd/fix/FixClassTypeResolver.java	5.8	Mixed	Data Compliance (PII/GDPR): High: watchdog-sensitive-personal-data-in-log
eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/MapOrSetKeyShouldOverrideHashCodeEqualsRule.kt	7.8	Mixed	Cyclomatic Complexity: MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor (cyclomatic 24)
eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidAccessStaticViaInstanceRule.kt	7.8	Mixed	Cyclomatic Complexity: AvoidAccessStaticViaInstanceRule.getVisitor (cyclomatic 18)
eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidUseDeprecationRule.kt	7.8	Mixed	Cyclomatic Complexity: AvoidUseDeprecationRule.getVisitor (cyclomatic 16)
eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/ui/pmd/StyleExtractor.kt	8.5	Near-clean	Cognitive Complexity: StyleExtractor.lineStylesFor (cognitive 37)
idea-plugin/p3c-common/src/main/kotlin/com/alibaba/p3c/idea/action/AliInspectionAction.kt	8.5	Near-clean	Cognitive Complexity: AliInspectionAction.actionPerformed (cognitive 19)

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. 17 of 18 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 1 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.4 — 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 — 18 dimensions across the health lenses

D1D2D3D4D13D15D21D28D29D32D34D35M1M2M3M4P1P3

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, 11 of 19 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	5.3.0	✓ deterministic
Native secret scanner	Hardcoded secrets / credentials	1.0.0	✓ deterministic
jscpd	Code duplication	—	✓ deterministic
Coverage (coverlet / dotnet-coverage)	Line & branch coverage	10.0.302	✓ deterministic
NuGet / dotnet	Outdated, vulnerable & deprecated dependencies	10.0.302	✓ deterministic
git / LibGit2Sharp	Churn hotspots, knowledge concentration, history	2.43.0 · 0.31.0	✓ deterministic
gitleaks · semgrep · trivy	Secrets in history, SAST, CVEs, IaC & container, PII / GDPR	1.86.0 · 0.69.3	✓ deterministic
LLM (sampled · advisory)	Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurement	Local LLM	◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 019fd013-fbc1-7c85-9e13-f67bb31482fc.

The exact command behind every deep-scan dimension — tool, version, invocation and retained raw output — is in Appendix B — Reproduction & audit trail.

Run transparency — what happened this run

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.

D19 Documentation Quality — LLM provider failed — The model provider returned an unusable result, so this LLM-assisted dimension fell back to a measurement gap (confidence 0) rather than a penalty. Re-run with a reachable provider to score it.
D30 Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.

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 (jscpd) — 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.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
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").
D32 Data Compliance (PII/GDPR): PII/GDPR signals are heuristic pattern matches in code — they flag likely handling concerns, not legal compliance, and cannot trace where data actually flows at runtime.
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.
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.

The LLM boundary

LLM-set scores this run (2): D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score (documentation, ADR quality, naming, comment value, onboarding) — D25 sets the ADR-conformance fraction over sampled code, D22 judges API accuracy over a sample. These are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.

Dimensions

D1 · Cyclomatic Complexity9.3 / 10Exemplary✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 9.3 / 10 · rule-coverage 100% · ceiling Prevented

3 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor at 24.

MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor (cyclomatic 24)eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/MapOrSetKeyShouldOverrideHashCodeEqualsRule.kt:39

AvoidAccessStaticViaInstanceRule.getVisitor (cyclomatic 18)eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidAccessStaticViaInstanceRule.kt:35

AvoidUseDeprecationRule.getVisitor (cyclomatic 16)eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidUseDeprecationRule.kt:36

✓ On the Gold path — maintain.

Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D2 · Cognitive Complexity8.7 / 10Strong✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 8.7 / 10 · rule-coverage 100% · ceiling Prevented

5 method(s) exceeded the cognitive complexity threshold of 15; the worst was StyleExtractor.lineStylesFor at 37.

StyleExtractor.lineStylesFor (cognitive 37)eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/ui/pmd/StyleExtractor.kt:170

MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor (cognitive 34)eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/MapOrSetKeyShouldOverrideHashCodeEqualsRule.kt:39

AvoidAccessStaticViaInstanceRule.getVisitor (cognitive 23)eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidAccessStaticViaInstanceRule.kt:35

AliInspectionAction.actionPerformed (cognitive 19)idea-plugin/p3c-common/src/main/kotlin/com/alibaba/p3c/idea/action/AliInspectionAction.kt:56

AvoidUseDeprecationRule.getVisitor (cognitive 16)eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidUseDeprecationRule.kt:36

What to do

Resolve the 1 StyleExtractor.lineStylesFor (cognitive 37) finding(s) in Cognitive Complexity — start with StyleExtractor.kt. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor (cognitive 34) finding(s) in Cognitive Complexity — start with MapOrSetKeyShouldOverrideHashCodeEqualsRule.kt. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 AvoidAccessStaticViaInstanceRule.getVisitor (cognitive 23) finding(s) in Cognitive Complexity — start with AvoidAccessStaticViaInstanceRule.kt. — One of this dimension's main actionable groups (1 warning-level).
Stand up a CI pipeline, then gate Cognitive Complexity in it to reach Verified (currently Documented). — This repository has no CI pipeline, so there is nothing to add a gate to yet — the pipeline comes first. Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.

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D3 · God Classes10.0 / 10Exemplary✓ 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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

0 god class(es) detected.

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.md.

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D4 · Code Duplication10.0 / 10Exemplary✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 duplicated block group(s) detected.

✓ On the Gold path — maintain.

Detailed fixes: d4_recommendation.md.

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D13 · Secret Scanning10.0 / 10Exemplary○ Nothing flagged

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

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D15 · Churn × Complexity Hotspots10.0 / 10Exemplary✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No churn × complexity hotspots in the window.

✓ On the Gold path — maintain.

Detailed fixes: d15_recommendation.md.

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D21 · Naming Consistency / 10Exemplary◐ Sampled · advisory

What it measures: Whether names — types, methods, variables — are clear and consistent.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic random symbol sample (fixed size, not exhaustive), with disclosed confidence band. Advisory, sampled.

Maturity: Documented → Verified → Prevented · effective Exemplary / 10 · rule-coverage 100% · ceiling Verified

0 naming inconsistencies across 0 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

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D28 · Secrets (history)10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.

Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

gitleaks scanned the full history AND the current working tree and found no secrets.

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

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D29 · Static Analysis (SAST)10.0 / 10Exemplary○ Nothing flagged

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).

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

semgrep found no security issues.

✓ On the Gold path — maintain.

Detailed fixes: d29_recommendation.md.

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D32 · Data Compliance (PII/GDPR)5.0 / 10Adequate✓ Tool-verified

What it measures: Likely personal-data (PII / GDPR) handling concerns — logging or storing data without safeguards.

Method: Heuristic PII/GDPR pattern scan via semgrep across the repo, using Watchdog's own ruleset (personal data reaching log/console sinks, URLs and query strings, or unprotected browser storage); matches map to severity and a 0-10 wide normalizer. NotApplicable when the scan runs and detects no PII/GDPR surface (no unearned 10); reported LOUDLY as a measurement gap, never as not-applicable, if the ruleset is missing from the analyzer image. Exhaustive, advisory-leaning; degrades on parse failure.

Maturity: Documented → Verified → Prevented · effective 5.0 / 10 · rule-coverage 100% · ceiling Documented

2 finding(s): 0 critical, 2 high, 0 medium, 0 low.

High: watchdog-sensitive-personal-data-in-log · ×2p3c-pmd/src/main/java/com/alibaba/p3c/pmd/fix/FixClassTypeResolver.java:172detected by semgrep finding

What to do

Resolve the 2 High finding(s) in Data Compliance (PII/GDPR) — start with FixClassTypeResolver.java (2). — One of this dimension's main actionable groups (2 issue-level).

Detailed fixes: d32_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D34 · Knowledge Freshness0.0 / 10Critical✓ Tool-verified

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.

Maturity: Documented → Verified → Prevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

92 of 92 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is p3c-pmd/src/main/java/com/alibaba/p3c/pmd/fix/FixClassTypeResolver.java.

Dormant codebase

Largest orphaned filep3c-pmd/src/main/java/com/alibaba/p3c/pmd/fix/FixClassTypeResolver.java

What to do

Resolve the 1 Dormant codebase finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).
Resolve the 1 Largest orphaned file finding(s) in Knowledge Freshness — start with FixClassTypeResolver.java. — 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.

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D35 · Change Coupling10.0 / 10Exemplary✓ Tool-verified

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; coupling through a build step, config, or non-source file isn't seen.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

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Frontend & cross-cutting dimensions

R = React/JS · M = Maturity · P = Readiness.

M1 · Documentation (README)6.8 / 10Adequate✓ Tool-verified

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

Add a build/run (quick start) section to the root README — the first thing a newcomer needs.
Add a 'Testing' section to the root README — how to run the test suite.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Add a README to the 5 of 8 project(s) that lack one — worth up to 1.3 pts.

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M2 · Architecture documentation0.0 / 10Critical✓ Tool-verified

Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.

Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.

No Architecture Decision Records found — no conventional ADR directory, no `NNNN-title.md` documents and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
No C4/PlantUML/Mermaid diagram or architecture.md — the high-level shape isn't documented.

What to do

Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.

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M3 · Folder & project structure10.0 / 10Exemplary✓ Tool-verified

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.

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M4 · Documentation accuracy8.0 / 10Strong◐ Sampled · advisory

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.

README advertises a RAG / ML engine, but no ML/RAG code or dependency exists

What to do

Reconcile the README with reality: README advertises a RAG / ML engine, but no ML/RAG code or dependency exists.

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P1 · CI/CD gates0.0 / 10Critical✓ Tool-verified

Readiness · Readiness — Whether an automated pipeline builds and tests every change.

Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.

No CI workflow found (.github/workflows, azure-pipelines.yml, .gitlab-ci.yml, …) — changes aren't gated by an automated build/test.

What to do

Add a CI workflow that builds and runs the test suite on every push/PR.

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P3 · Security & performance tooling0.0 / 10Critical✓ Tool-verified

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 spotbugs with find-sec-bugs (or `semgrep --config=auto`, which runs on any language) — this repository has no CI pipeline yet, so run it locally to clear the existing findings, then make it a step of the first workflow you add so a regression fails the build.

What to do

Run what this repository's stack ships: spotbugs with find-sec-bugs — or `semgrep --config=auto`, which runs on any language — — locally for now, since there is no CI pipeline here yet, and as a step of the first workflow you add so a security regression fails the build instead of landing.
Enable Dependabot/Renovate or a dependency-review gate.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.

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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.

Lens	Score	Rating	Impact
Code Health	95%	Exemplary	Solid.
Architecture	100%	Exemplary	Strongest area.
Maturity	46%	Weak — gated by D34, M2	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness	24%	Critical — gated by P1, P3	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security	83%	Strong	Solid.

Not included — 75 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
AX10 Code composition — not assessed — code composition is computed by ROLE over a document set that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX2 Stateful singletons — no singleton implementations detected
AX3 Project dependency cycles — not assessed — project cycles and dependency direction are computed over a project-reference graph 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
AX4 Dependency direction — not assessed — project cycles and dependency direction are computed over a project-reference graph 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
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX6 Interface segregation — not assessed — interface segregation is computed over a type surface 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 — not assessed — test isolation is computed from a project graph (which projects are test projects, and what they reference) 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
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) 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. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) 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. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C3 Audit Trail — Not assessed: these audit controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) 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. Absence of an idiom this check recognises is NOT evidence that this repository lacks audit controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C4 Data Retention — Not assessed: these retention controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) 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. Absence of an idiom this check recognises is NOT evidence that this repository lacks retention controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C5 Data-Subject Rights — Not assessed: these data-subject rights controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) 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. Absence of an idiom this check recognises is NOT evidence that this repository lacks data-subject rights controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
D10 Test Quality — ~533 lines of test source are present (.java) but the test-quality collector reads C# only, so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D11 Test Reliability — Test reliability not included
D12 Dependency Hygiene — Dependency hygiene not measured — dependency manifest found but not parsed for hygiene
D14 License Compliance — Not scored — this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (a Gradle version catalogue and a Maven POM), which this pass does not parse yet — so this dimension asserts nothing about this repository's licensing in either direction.
D16 Bus Factor — dormant codebase — no living knowledge left to concentrate
D17 Explicit Debt — explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language — this asserts nothing about how many markers the code carries. Not scored — this is a gap in the analyzer, not a finding about this repository
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
D19 Documentation Quality — LLM evaluation failed
D20 ADR Quality — N/A — ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
D22 Internal API Consistency — No exposed public API
D23 Boundary Type-Coupling — Production source is present (.java, .kt) but bounded contexts are resolved over the C#/VB project set, which exposed none, so context scope could not be assessed. Not scored — this is a gap in the analyzer, not a verdict about this repository. Declaring the codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed — see the recommendation on this dimension for where. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value — No inline comments to assess — comment value is not applicable here.
D25 ADR Conformance — no ADRs to check
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 — No calls could be sampled, so navigability was not assessed — tracing effort is measured over resolved call sites and this target exposed none. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D30 Dependency Vulnerabilities — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Gradle version catalogue and a Maven POM — not scanned yet) — where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
D33 JS/npm Dependency Vulnerabilities — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
D36 Supply-chain Provenance & Signing — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, Jenkinsfile, .circleci); there is no build to attest provenance for.
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.
D38 OSV Dependency Vulnerabilities — Scanner failed to run — not a clean result
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D5 Coupling — Inter-project coupling could not be assessed — no analyzable project graph was found for this repository. Not scored: a gap in the analyzer's reach, not a verdict about this repository. (Coupling here is Martin afferent/efferent/instability plus reference cycles across a project-reference graph, read today from .NET project files; other ecosystems' module graphs are not read yet.)
D6 Cohesion (LCOM4) — Cohesion (LCOM4) is measured over a C#/VB class graph, and this repository's production source is .java, .kt, which this pass does not read — so no class could be assessed. Not scored — this is a gap in the analyzer, not a finding about this repository.
D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
D8 Code Coverage — Coverage not included — suite not readable by the collector
D9 Test Distribution — Test source is present (.java) but the test-pyramid classifier reads C# only, so its unit/integration/BDD/E2E split couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
DM1 Domain Modelling — not scored — this repository shows only 1 of the 3 signals this check looks for (34 value object(s))
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this check looks for
GD1 Unfinished & placeholder code — no source files
IC1 Incompleteness & stubs — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P12 CI test-gate honesty — no CI workflow found
P2 Observability — Observability was not assessed: this check reads a source model that does not carry this repository's product — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of a logging idiom this check recognises is NOT evidence that this repo lacks structured logging (it may log through its own ecosystem's logger). This is a gap in the analyzer, not a finding about this repository.
P4 Deployment & Rollback — not evidenced — no deploy/rollback/approval signal in the repo; absence of evidence is not evidence of a manual release
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P6 Release Hygiene — not evidenced — no changelog, version stamp or semver release tag in the repo
P7 Outbound HTTP resilience — not measured — the application kind could not be determined for this repo
P8 Schema migrations — not assessed — schema-migration practice is read from a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (JaCoCo XML — `mvn jacoco:report` or the Gradle `jacocoTestReport` task) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored, or wire coverage collection into CI, to enable this cross-layer check
PF1 Benchmark discipline — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF2 Allocation hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF3 Async & latency hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
S1 Web-Security Posture — Not assessed: these web-security controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) 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. Absence of an idiom this check recognises is NOT evidence that this repository lacks web-security controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
X1 Async correctness — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X2 Cancellation propagation — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X3 Exception handling — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X4 Structured logging — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X5 Nullable reference types — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository

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.

Issue — 2 finding(s)

D32 · Data Compliance (PII/GDPR) · High · ×2

High: watchdog-sensitive-personal-data-in-log p3c-pmd/src/main/java/com/alibaba/p3c/pmd/fix/FixClassTypeResolver.java:172 — Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log p3c-pmd/src/main/java/com/alibaba/p3c/pmd/fix/FixClassTypeResolver.java:176 — Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.

Warning — 10 finding(s)

D1 · Cyclomatic Complexity · MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor (cyclomatic 24) · ×1

MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor (cyclomatic 24) eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/MapOrSetKeyShouldOverrideHashCodeEqualsRule.kt:39 — MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor 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.

D1 · Cyclomatic Complexity · AvoidAccessStaticViaInstanceRule.getVisitor (cyclomatic 18) · ×1

AvoidAccessStaticViaInstanceRule.getVisitor (cyclomatic 18) eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidAccessStaticViaInstanceRule.kt:35 — AvoidAccessStaticViaInstanceRule.getVisitor has cyclomatic complexity 18 (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.

D1 · Cyclomatic Complexity · AvoidUseDeprecationRule.getVisitor (cyclomatic 16) · ×1

AvoidUseDeprecationRule.getVisitor (cyclomatic 16) eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidUseDeprecationRule.kt:36 — AvoidUseDeprecationRule.getVisitor has cyclomatic complexity 16 (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.

D16 · Bus Factor · dormant codebase · ×1

dormant codebase — no living knowledge left to concentrate — All 5 significant source file(s) were last meaningfully changed so long ago that no living knowledge remains — nothing since has been substantial enough to re-establish ownership (a broad, mechanical sweep that touches many files shallowly does not count, and neither does no activity at all). There is no concentration to measure, so the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).

D19 · Documentation Quality · LLM evaluation failed · ×1

LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.findings[1].issue | LineNumber: 0 | BytePositionInLine: 1146.

D2 · Cognitive Complexity · StyleExtractor.lineStylesFor (cognitive 37) · ×1

StyleExtractor.lineStylesFor (cognitive 37) eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/ui/pmd/StyleExtractor.kt:170 — StyleExtractor.lineStylesFor has cognitive complexity 37 (threshold 15). Drivers by points: if/else 29, loops 7, boolean chains 1 (nesting depth added 23). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor (cognitive 34) · ×1

MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor (cognitive 34) eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/MapOrSetKeyShouldOverrideHashCodeEqualsRule.kt:39 — MapOrSetKeyShouldOverrideHashCodeEqualsRule.getVisitor has cognitive complexity 34 (threshold 15). Drivers by points: if/else 25, boolean chains 8, match/switch 1 (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · AvoidAccessStaticViaInstanceRule.getVisitor (cognitive 23) · ×1

AvoidAccessStaticViaInstanceRule.getVisitor (cognitive 23) eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidAccessStaticViaInstanceRule.kt:35 — AvoidAccessStaticViaInstanceRule.getVisitor has cognitive complexity 23 (threshold 15). Drivers by points: if/else 17, boolean chains 4, match/switch 2 (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.

D2 · Cognitive Complexity · AliInspectionAction.actionPerformed (cognitive 19) · ×1

AliInspectionAction.actionPerformed (cognitive 19) idea-plugin/p3c-common/src/main/kotlin/com/alibaba/p3c/idea/action/AliInspectionAction.kt:56 — AliInspectionAction.actionPerformed has cognitive complexity 19 (threshold 15). Drivers by points: if/else 16, boolean chains 3 (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.

D2 · Cognitive Complexity · AvoidUseDeprecationRule.getVisitor (cognitive 16) · ×1

AvoidUseDeprecationRule.getVisitor (cognitive 16) eclipse-plugin/com.alibaba.smartfox.eclipse.plugin/src/main/kotlin/com/alibaba/smartfox/eclipse/pmd/rule/AvoidUseDeprecationRule.kt:36 — AvoidUseDeprecationRule.getVisitor has cognitive complexity 16 (threshold 15). Drivers by points: if/else 11, boolean chains 4, loops 1 (nesting depth added 1). To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.

Recommendation — 5 finding(s)

D11 · Test Reliability · Test reliability not included · ×1

Test reliability not included — Test source is present (.java) but the built-in reliability runner does not support this repository's ecosystem, so flakiness couldn't be assessed. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.

D34 · Knowledge Freshness · Dormant codebase · ×1

Dormant codebase — 92 of 92 significant files have no living knowledge — the codebase as a whole is dormant, not 92 separate risks. Re-engage owners or document before change.

D34 · Knowledge Freshness · Largest orphaned file · ×1

Largest orphaned file p3c-pmd/src/main/java/com/alibaba/p3c/pmd/fix/FixClassTypeResolver.java — One of the largest files with no living knowledge remaining — a reasonable place to start a read-through before the aggregate risk above bites.

D38 · OSV Dependency Vulnerabilities · Scanner failed to run · ×1

Scanner failed to run — not a clean result — osv-scanner exited 128 with no findings — the advisory database was likely unreachable. The scanner exited non-zero and produced no findings (typically the advisory DB was unreachable), so this is reported as a measurement gap rather than a clean pass.

D8 · Code Coverage · Coverage not included · ×1

Coverage not included — suite not readable by the collector — Coverage NOT MEASURED: test source is present (.java) 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 (JaCoCo XML — `mvn jacoco:report` or the Gradle `jacocoTestReport` task) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored.

Info — 2 finding(s)

D12 · Dependency Hygiene · Dependency hygiene not measured · ×1

Dependency hygiene not measured — dependency manifest found but not parsed for hygiene — This repository's dependency manifests (a Gradle version catalogue and a Maven POM) were found, but this pass cannot parse them for hygiene, so no package was assessed. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED — a gap in the analyzer, not a verdict about this repository. This row is about dependency HYGIENE — outdated, deprecated or unmaintained direct dependencies; known CVEs in the same dependency graph are a separate question, reported under D38 wherever the manifest is OSV-readable.

D22 · Internal API Consistency · No exposed public API · ×1

No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.

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.

Dimension	Tool	Version	Command	Findings	Raw output
D28 · Secrets (history)	gitleaks	—	gitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .	0	artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)	semgrep	—	semgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .	0	artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilities	none (no readable dependency manifest)	—	none (no readable dependency manifest): not present in this environment	0	—
D31 · IaC & Container Security	trivy	—	trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.	0	—
D32 · Data Compliance (PII/GDPR)	semgrep	—	semgrep --config /opt/semgrep-rules/gdpr.yml --json --quiet --timeout 0 --metrics off .	2	artifacts/raw/semgrep-gdpr.json
D33 · JS/npm Dependency Vulnerabilities	trivy	—	trivy: not applicable — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.	0	—
D36 · Supply-chain Provenance & Signing	provenance	—	provenance: not applicable — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, Jenkinsfile, .circleci); there is no build to attest provenance for.	0	—
D37 · Vulnerability-disclosure Policy	disclosure	—	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.	0	—
D38 · OSV Dependency Vulnerabilities	osv-scanner	—	osv-scanner --format json --recursive .	0	—
D40 · Network Egress Confinement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.	0	—
D41 · Kernel & Syscall Confinement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.	0	—
D42 · Runtime Threat Enforcement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.	0	—

Run 019fd013-fbc1-7c85-9e13-f67bb31482fc · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Alibaba/p3c

Executive summary

Top priorities

Diagnosis — what's actually going on

Architecture — module dependency matrix

At a glance — Code Health · 95% · Exemplary

At a glance — Architecture · 100% · Exemplary

At a glance — Maturity · 46% · Weak · gated by D34, M2

At a glance — Readiness · 24% · Critical · gated by P1, P3

At a glance — Security · 83% · Strong

Security & Compliance — OWASP Top-10 mapping

Roadmap

File quality

Methodology & how to trust this report

Tools & methods

Run transparency — what happened this run

Limitations & what we did not check

Per-dimension blind spots

The LLM boundary

Dimensions

Frontend & cross-cutting dimensions

Reference — by lens

Appendix A — Findings (grouped)

Appendix B — Reproduction & audit trail

Downloadable artifacts