Public report — chipyard, published 3 Aug 2026. Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version; ask the repo owner for the full report.
Watchdogby Canine Development 03-08-2026 @ 03:18 UTC Public
Code Health Audit

Ucb-Bar/chipyard

No regression knowledge concentrated in recent work
67% Adequate
CriticalWeakAdequateStrongExemplary
upper third — near Strong
Code Health 99% Exemplary Architecture 95% Exemplary Maturity 71% Adequate Readiness 64% Adequate Security 61% Adequate

Small · 16,582 LoC · rebuild ~0.1 person-years · weakest lens: Security (61%)

Grounded in facts. Every number here is computed, not narrated — reproducible, tool-backed, and traceable to a line of code. How to trust this ▸

18/19dimensions tool-verifieddeterministic · confidence 1.0 · 1 LLM-assisted, advisory
23findings with an exact file:lineof 38 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
19/95dimensions across the health lenses16582 LoC — wide & deep

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.

ucb-bar/chipyard is sound in substance but carries real gaps (67%). It is not in crisis, but the issues below raise the cost of changing it — friction its consumers ultimately inherit.

It is strongest in Code Health (99%) — the code is clean and low-risk to change. Architecture (95%) is solid too.

The area that most needs attention is Security (61%) — exposure to security and compliance incidents is elevated. Readiness (64%) is the next concern — 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.

Leadership focus, highest impact first: Your ecosystem's static analyzer is declared as a dependency… (Security & performance tooling); Nothing pauses a release for a human (Deployment & Rollback); Stamp a version in your build/package manifest (e.g. csproj <Version> (Release Hygiene).

For scale: Small (~16,582 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.

It builds on a genuinely strong Code Health foundation (99%); the priorities above are the highest-leverage way to bring the rest up to that level.

Code Health 99% ★ Exemplary Architecture 95% ★ Exemplary Maturity 71% Adequate · gated by M2 Readiness 64% Adequate Security 61% Adequate · gated by D29, D36
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.
Security 61% · 47% weightReadiness 64% · 26% weightMaturity 71% · 14% weightArchitecture 95% · 8% weightCode Health 99% · 4% weight

Raise Security 61 → 70 (the Healthy floor) ⇒ headline 67 → ~70.

Code composition — where the lines go
Tests 100%
New since the last scan (2+)

2 finding(s) are new versus the previous scan (2026-07-29) — surfaced by this scheduled scan itself, no pull request required.

  • D29 · High: github-actions-mutable-action-tag .github/workflows/chipyard-full-flow.yml
  • D29 · High: github-actions-mutable-action-tag .github/workflows/release-notes.yml

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 — €7,000–€35,000
Cost to rebuild€7,000–€35,000 (0.1–0.2 person-years (116–368 h), ~1 engineer)
Domain complexityStandard — harder problems cost more per line
Quality factor0.9× (at 67% quality) — the last 20% of quality is most of the work
Size & shapeSmall · 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 ~€21,000 to rebuild). Its weakest lens is Security at 61% — 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 0.9× 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.

1
Your ecosystem's static analyzer is declared as a dependency but is not wired into CI — run it as a required step on push/PR (e.g. `composer phpstan` / `mix sobelow` / `bundle exec brakeman` / the spotbugs Gradle task / `sbt scalafixAll --check` / `golangci-lint run` / `rebar3 lint`) so a regression fails the build instead of relying on someone running it locally.
+5.6 pts · Medium effort · Security & performance tooling
2
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.
+5.6 pts · Medium effort · Deployment & Rollback
3
Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.
+5.6 pts · Medium effort · Release Hygiene

Diagnosis — what's actually going on

Value concentrated against a weak lens · Medium · Value at risk
This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Security at 61%. 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 (16,582 LoC) · weakest lens: Security 61%
→ Direct remediation budget at Security 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: Your ecosystem's static analyzer is declared as a dependency but is not wired into CI — run it as a required step on push/PR (e.g. `composer phpstan` / `mix sobelow` / `bundle exec brakeman` / the spotbugs Gradle task / `sbt scalafixAll --check` / `golangci-lint run` / `rebar3 lint`) so a regression fails the build instead of relying on someone running it locally. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Your ecosystem's static analyzer is declared as a dependency but is not wired into CI — run it as a required step on push/PR (e.g. `composer phpstan` / `mix sobelow` / `bundle exec brakeman` / the spotbugs Gradle task / `sbt scalafixAll --check` / `golangci-lint run` / `rebar3 lint`) so a regression fails the build instead of relying on someone running it locally.

Architecture — module dependency matrix

41 modules, 39 dependencies — 2 dependency cycles, 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.)

(global).github.scripts.github.scripts.utils…roupAsyncResetCoercer….example.EmptyChipTop…d.example.FlatChipTopchipyard.iocellchipyard.stagechipyard.unittestchipyard.upfdocsdocs.scripts…chip.bridgeinterfaces…engateimplementationsmdf.macrolibscriptstracegenchipyard.iobinderschipyard.stage.phasesfirechip.bridgestubs…croCompilerAnnotationchipyard.clockingchipyard.examplechipyard.harnesstapeout.macroschipyardchipyard.config…pyard.example.GCDAXI4chipyard.example.GCDTL…d.example.HLSGCDAccelchipyard.fpga.artychipyard.fpga.arty100t…y100t.Arty100THarness…ipyard.fpga.datastorm…torm.DatastormHarness…pyard.fpga.nexysvideo…deo.NexysVideoHarnesschipyard.fpga.vc707firechip.chipchipyard.fpga.vcu118(global)1.github.scripts2.github.scripts.utils3…roupAsyncResetCoercer4….example.EmptyChipTop5…d.example.FlatChipTop6chipyard.iocell7chipyard.stage8chipyard.unittest9chipyard.upf10docs11docs.scripts12…chip.bridgeinterfaces13…engateimplementations14mdf.macrolib15scripts16tracegen17chipyard.iobinders18chipyard.stage.phases19firechip.bridgestubs20…croCompilerAnnotation21chipyard.clocking22chipyard.example23chipyard.harness24tapeout.macros25chipyard26chipyard.config27…pyard.example.GCDAXI428chipyard.example.GCDTL29…d.example.HLSGCDAccel30chipyard.fpga.arty31chipyard.fpga.arty100t32…y100t.Arty100THarness33…ipyard.fpga.datastorm34…torm.DatastormHarness35…pyard.fpga.nexysvideo36…deo.NexysVideoHarness37chipyard.fpga.vc70738firechip.chip39chipyard.fpga.vcu1184027315331114111211211111115511511311451254+1 more modules (most-connected shown)

At a glance — Code Health · 99% · Exemplary

The Good
D3 · Scala God Classes 9.7 D4 · Scala Code Duplication 10.0

At a glance — Architecture · 95% · Exemplary

The Good
D35 · Scala Change Coupling 9.5

At a glance — Maturity · 71% · Adequate · gated by M2

The Good
D16 · Scala Bus Factor 9.4 D21 · Scala Naming Consistency 10.0 M1 · Repo Documentation (README) 9.3 M3 · Repo Folder & project structure 10.0 M4 · Repo Documentation accuracy 10.0
The Ugly
M2 · Repo Architecture documentation 2.0

At a glance — Readiness · 64% · Adequate

The Good
D13 · Scala Secret Scanning 10.0 P1 · Repo CI/CD gates 10.0
The Bad
P3 · Repo Security & performance tooling 6.0 P4 · Repo Deployment & Rollback 5.0 P6 · Repo Release Hygiene 5.0

At a glance — Security · 61% · Adequate · gated by D29, D36

The Good
D28 · Scala Secrets (history) 10.0 D31 · Scala IaC & Container Security 9.0 D33 · Scala JS/npm Dependency Vulnerabilities 10.0
The Ugly
D29 · Scala Static Analysis (SAST) 1.2 D36 · Scala Supply-chain Provenance & Signing 0.0

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 categoryFindingsSeverity
A03:2021 — Injection12High / Critical
A05:2021 — Security Misconfiguration3High / Critical

Roadmap

First, integrate static analysis tools into your CI pipeline to automatically fail builds on regressions, and secure your release process by gating deployments behind manual approval or draft states to prevent bad code from reaching users. Next, enforce release hygiene by automatically stamping version numbers in your build manifests to ensure full traceability. Then, address the twelve high-priority findings in your static analysis reports, focusing first on the most critical files. Finally, begin documenting significant architectural decisions in a dedicated, discoverable location to preserve institutional knowledge.

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

Do thisHelpsEffortDimension
Your ecosystem's static analyzer is declared as a dependency but is not wired into CI — run it as a required step on push/PR (e.g. `composer phpstan` / `mix sobelow` / `bundle exec brakeman` / the spotbugs Gradle task / `sbt scalafixAll --check` / `golangci-lint run` / `rebar3 lint`) so a regression fails the build instead of relying on someone running it locally.+5.6 ptsMediumSecurity & performance tooling
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.+5.6 ptsMediumDeployment & Rollback
Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.+5.6 ptsMediumRelease Hygiene
Resolve the 12 High finding(s) in Static Analysis (SAST) — start with chipyard-full-flow.yml (4), release-notes.yml (3), action.yml (2).+4.4 ptsMediumStatic Analysis (SAST)
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).+3.8 ptsMediumArchitecture documentation
Resolve the 2 High IaC finding(s) in IaC & Container Security — start with Dockerfile (2).+1.8 ptsLowIaC & Container Security
Resolve the 1 No build provenance finding(s) in Supply-chain Provenance & Signing.+1.8 ptsLowSupply-chain Provenance & Signing
Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing.+1.8 ptsLowSupply-chain Provenance & Signing

File quality

Per-file score 0–10 — a quality signature. Of 14 files carrying findings, judged against the Production bar: 7% slop · 36% mixed · 57% near-clean.

FileScoreBandWorst signal
dockerfiles/Dockerfile3.7SlopIaC & Container Security: High IaC: DS-0002
.github/workflows/chipyard-full-flow.yml4.8MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
.github/workflows/release-notes.yml5.1MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
.github/actions/prepare-rtl/action.yml5.8MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
.github/workflows/chipyard-chisel7.yml5.8MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
.github/dependabot.yml7.2MixedStatic Analysis (SAST): High: dependabot-missing-cooldown
tools/tapeout/src/main/scala/macros/MacroCompiler.scala8.5Near-cleanGod Classes: FileTooLong: macros/MacroCompiler.scala
generators/chipyard/src/main/scala/config/BoomConfigs.scala8.5Near-cleanChange Coupling: Change coupling: BoomConfigs.scala ↔ HeteroConfigs.scala
fpga/src/main/scala/arty/HarnessBinders.scala8.5Near-cleanChange Coupling: Change coupling: HarnessBinders.scala ↔ HarnessBinders.scala
generators/chipyard/src/main/scala/config/RocketConfigs.scala8.5Near-cleanChange Coupling: Change coupling: RocketConfigs.scala ↔ TutorialConfigs.scala
generators/chipyard/src/main/scala/config/HeteroConfigs.scala8.5Near-cleanChange Coupling: Change coupling: HeteroConfigs.scala ↔ RocketConfigs.scala
fpga/src/main/scala/arty/Configs.scala8.5Near-cleanChange Coupling: Change coupling: Configs.scala ↔ Configs.scala
generators/chipyard/src/main/scala/Subsystem.scala8.5Near-cleanChange Coupling: Change coupling: Subsystem.scala ↔ TestSuites.scala
fpga/src/main/scala/arty100t/HarnessBinders.scala8.5Near-cleanChange Coupling: Change coupling: HarnessBinders.scala ↔ HarnessBinders.scala

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. 18 of 19 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 — 19 dimensions across the health lenses
D3D4D13D16D21D28D29D31D33D35D36M1M2M3M4P1P3P4P6

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
  1. 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, 23 of 38 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.)
  2. 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.
  3. 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.

MethodBacksVersionEvaluator
Roslyn static analysisComplexity, cohesion, coupling, dead code, API surface, layering5.3.0✓ deterministic
Native secret scannerHardcoded secrets / credentials1.0.0✓ deterministic
jscpdCode duplication—✓ deterministic
Coverage (coverlet / dotnet-coverage)Line & branch coverage10.0.302✓ deterministic
NuGet / dotnetOutdated, vulnerable & deprecated dependencies10.0.302✓ deterministic
git / LibGit2SharpChurn hotspots, knowledge concentration, history2.43.0 · 0.31.0✓ deterministic
gitleaks · semgrep · trivy · checkovSecrets in history, SAST, CVEs, IaC & container, PII / GDPR1.86.0 · 0.69.3✓ deterministic
LLM (sampled · advisory)Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurementLocal LLM◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 019fc5a1-adc7-7904-8aef-10bc98346a5c.

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: 2 pattern(s) declared (.gitattributes linguist-generated/vendored, .editorconfig generated_code) excluded 0 source file(s) from code-quality scoring. Declarations are the repo's own visible statement that a tree is machine-written or vendored — auditable in any diff, honored by GitHub the same way.

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.

  • 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").
  • 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.
  • 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").
  • 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.
  • D33 JS/npm Dependency Vulnerabilities: JS/npm CVE matching reads package manifests and lockfiles — risk from how a dependency is used, and advisories not yet published, fall outside this scan.
  • 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.
  • P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
  • P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.

The LLM boundary

LLM-set scores this run (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

D3 · God Classes9.7 / 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 9.7 / 10 · rule-coverage 100% · ceiling Prevented

1 god class(es) detected.

FileTooLong: macros/MacroCompiler.scalatools/tapeout/src/main/scala/macros/MacroCompiler.scala:0

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.

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.

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.

D16 · Bus Factor9.4 / 10Exemplary✓ 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.

Maturity: Documented → Verified → Prevented · effective 9.4 / 10 · rule-coverage 100% · ceiling Documented

5 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is generators/chipyard/src/main/scala/SpikeTile.scala.

Off-boarding risk: anonymized user #1
Further sole-owners (lower concentration)

✓ On the Gold path — maintain.

Detailed fixes: d16_recommendation.md · top locations in Appendix A, every location in findings.md.

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.

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.

D29 · Static Analysis (SAST)1.2 / 10Critical✓ Tool-verified

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 1.2 / 10 · rule-coverage 100% · ceiling Documented

12 finding(s): 0 critical, 12 high, 0 medium, 0 low.

High: github-actions-mutable-action-tag · ×12.github/actions/prepare-rtl/action.yml:20detected by semgrep finding

What to do

  1. Resolve the 12 High finding(s) in Static Analysis (SAST) — start with chipyard-full-flow.yml (4), release-notes.yml (3), action.yml (2). — One of this dimension's main actionable groups (12 issue-level).

Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.

D31 · IaC & Container Security9.0 / 10Exemplary✓ Tool-verified

What it measures: Whether Dockerfiles / Terraform / Kubernetes config follow security best practices.

Method: IaC/container misconfiguration scan via trivy config (Dockerfile/Terraform/K8s/Helm/CloudFormation); severity rules to 0-10 moderate normalizer. NotApplicable without manifests. Exhaustive, deterministic.

Maturity: Documented → Verified → Prevented · effective 9.0 / 10 · rule-coverage 100% · ceiling Documented

5 finding(s): 0 critical, 2 high, 3 medium, 0 low.

High IaC: DS-0002 · ×2dockerfiles/Dockerfiledetected by trivy finding
Medium IaC: DS-0013dockerfiles/Dockerfiledetected by trivy finding

✓ On the Gold path — maintain.

Detailed fixes: d31_recommendation.md · top locations in Appendix A, every location in findings.md.

D33 · JS/npm Dependency Vulnerabilities10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether JavaScript/npm dependencies have known published vulnerabilities (CVEs) — the npm ecosystem's biggest risk.

Method: JS/npm CVE scan via trivy fs --scanners vuln over JS manifests (package.json/yarn.lock/pnpm-lock/bun.lockb); 0-10 tight normalizer. NotApplicable without JS manifests. Exhaustive, deterministic.

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

No known-vulnerable JS/npm dependencies.

✓ On the Gold path — maintain.

Detailed fixes: d33_recommendation.md.

D35 · Change Coupling9.5 / 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 9.5 / 10 · rule-coverage 100% · ceiling Documented

Strongest change-coupling: BoomConfigs.scala↔HeteroConfigs.scala 64%; HarnessBinders.scala↔HarnessBinders.scala 60%; RocketConfigs.scala↔TutorialConfigs.scala 58%

Change coupling: BoomConfigs.scala ↔ HeteroConfigs.scala · ×7generators/chipyard/src/main/scala/config/BoomConfigs.scala

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md · top locations in Appendix A, every location in findings.md.

D36 · Supply-chain Provenance & Signing0.0 / 10Critical✓ Tool-verified

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.

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

0/4 supply-chain integrity signals present (provenance, signing, SBOM, pinned actions).

Unpinned build actions
Workflow token permissions not restricted
No build provenance
No artifact signing
No SBOM

What to do

  1. Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
  2. Resolve the 1 Workflow token permissions not restricted finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
  3. Resolve the 1 No build provenance finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d36_recommendation.md · top locations in Appendix A, every location in findings.md.

Frontend & cross-cutting dimensions

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

M1 · Documentation (README)9.3 / 10Exemplary✓ 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 an 'Architecture' / 'How it works' section to the root README — the high-level shape.
M2 · Architecture documentation2.0 / 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.

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).
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.

M4 · Documentation accuracy10.0 / 10Exemplary◐ 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.

P1 · CI/CD gates10.0 / 10Exemplary○ Nothing flagged

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.

P3 · Security & performance tooling6.0 / 10Adequate✓ 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.

What to do

  • Your ecosystem's static analyzer is declared as a dependency but is not wired into CI — run it as a required step on push/PR (e.g. `composer phpstan` / `mix sobelow` / `bundle exec brakeman` / the spotbugs Gradle task / `sbt scalafixAll --check` / `golangci-lint run` / `rebar3 lint`) so a regression fails the build instead of relying on someone running it locally.
  • Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
P4 · Deployment & Rollback5.0 / 10Adequate✓ Tool-verified

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.
P6 · Release Hygiene5.0 / 10Adequate✓ Tool-verified

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.

What to do

  • Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.

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.

LensScoreRatingImpact
Code Health99%ExemplaryStrongest area.
Architecture95%ExemplarySolid.
Maturity71%Adequate — gated by M2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness64%AdequateAcceptable, with room to improve.
Security61%Adequate — gated by D29, D36Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Not included — 76 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
  • AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • 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.
  • D1 Cyclomatic Complexity — Most of this repository's production source (.py, .scala) had no cyclomatic complexity computed for it, so cyclomatic complexity was not measured — whatever else this pass did read is not this repository's complexity. Not scored: no method bodies were exposed for those file kinds by any language model this pass could load. This is a gap in the analysis run, not a finding about this repository.
  • D10 Test Quality — ~418 lines of test source are present (.scala) 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 (an sbt build (build.sbt), a Python pyproject.toml/requirements.txt (pip/uv/Poetry) and package.json), which this pass does not parse yet — so this dimension asserts nothing about this repository's licensing in either direction.
  • D15 Churn × Complexity Hotspots — complexity unreadable for .py, .scala — churn × complexity hotspots could not be measured
  • 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
  • D2 Cognitive Complexity — Most of this repository's production source (.py, .scala) had no cognitive complexity computed for it, so cognitive complexity was not measured — whatever else this pass did read is not this repository's complexity. Not scored: no method bodies were exposed for those file kinds by any language model this pass could load. This is a gap in the analysis run, not a finding about this repository.
  • 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 (.py, .scala, .ts) 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 (an sbt build (build.sbt), a Python pyproject.toml/requirements.txt (pip/uv/Poetry) and package.json — not scanned yet) — where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
  • D32 Data Compliance (PII/GDPR) — Data compliance (PII/GDPR) was not assessed in this scan — no ruleset is currently available for it. This says nothing about how this repository handles personal data, in either direction.
  • D34 Knowledge Freshness — knowledge concentrated in recent work — freshness signal contradicted by repo activity
  • 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 .py, .scala, .ts, 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 MSBuild project 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 (.scala) 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 — applicable but not scored (1 of 2 signals for this style — below the bar we score at): 140 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 — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, 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'.
  • 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.
  • P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
  • 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 (`sbt clean coverage test coverageReport` via sbt-scoverage) 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.
  • SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • 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 — 14 finding(s)
D29 · Static Analysis (SAST) · High · ×12
  • High: github-actions-mutable-action-tag .github/actions/prepare-rtl/action.yml:20 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/cache@<40-character SHA>`. This step references `actions/cache@v3`; resolve the SHA it points at today with `gh api repos/actions/cache/commits/v3 --jq .sha`.
  • High: run-shell-injection .github/actions/prepare-rtl/action.yml:30 — Using variable interpolation `${{...}}` with `github` context data in a `run:` step could allow an attacker to inject their own code into the runner. This would allow them to steal secrets and code. `github` context data can have arbitrary user input and should be treated as untrusted. Instead, use an intermediate environment variable with `env:` to store the data and use the environment variable in the `run:` script. Reference it as a shell VARIABLE rather than a `${{ }}` interpolation, using your shell's own syntax (`"$ENVVAR"` in bash, `$env:ENVVAR` in PowerShell), so the value is passed as data and never re-expanded as code.
  • High: dependabot-missing-cooldown .github/dependabot.yml:8 — This Dependabot configuration does not set a cooldown period. Newly published packages can be malicious or unstable. Add a `cooldown` block with `default-days: 7` to each `package-ecosystem` entry under `updates` to wait 7 days before proposing updates to newly published package versions. Reference: https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#cooldown. This is a semgrep security-AUDIT rule reporting a POLICY that is absent or weaker than its recommendation, not an exploitable defect. Confirm whether the current setting is a deliberate decision for this repository — and apply the change where it is not; where it is (a policy your release process already enforces elsewhere, or one this repository has consciously opted out of), record the decision and leave the configuration as it is. This configuration file has 2 such entries; one cooldown decision clears them all — reported once.
  • High: github-actions-mutable-action-tag .github/workflows/chipyard-chisel7.yml:20 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v4`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v4 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/chipyard-chisel7.yml:28 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-java@<40-character SHA>`. This step references `actions/setup-java@v4`; resolve the SHA it points at today with `gh api repos/actions/setup-java/commits/v4 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/chipyard-full-flow.yml:28 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: styfle/cancel-workflow-action@<40-character SHA>`. This step references `styfle/cancel-workflow-action@0.12.1`; resolve the SHA it points at today with `gh api repos/styfle/cancel-workflow-action/commits/0.12.1 --jq .sha`. Note that `0.12.1` is an exact release tag rather than a floating major: it is still mutable (a tag can be repointed), but by convention it moves only on a force-push, so pin the floating-major and branch references in this file first.
  • High: github-actions-mutable-action-tag .github/workflows/chipyard-full-flow.yml:53 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v4`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v4 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/chipyard-full-flow.yml:56 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: dorny/paths-filter@<40-character SHA>`. This step references `dorny/paths-filter@v3`; resolve the SHA it points at today with `gh api repos/dorny/paths-filter/commits/v3 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/chipyard-full-flow.yml:90 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v4`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v4 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/release-notes.yml:27 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v4`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v4 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/release-notes.yml:30 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: mikepenz/release-changelog-builder-action@<40-character SHA>`. This step references `mikepenz/release-changelog-builder-action@v5`; resolve the SHA it points at today with `gh api repos/mikepenz/release-changelog-builder-action/commits/v5 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/release-notes.yml:46 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: softprops/action-gh-release@<40-character SHA>`. This step references `softprops/action-gh-release@v2.2.1`; resolve the SHA it points at today with `gh api repos/softprops/action-gh-release/commits/v2.2.1 --jq .sha`. Note that `v2.2.1` is an exact release tag rather than a floating major: it is still mutable (a tag can be repointed), but by convention it moves only on a force-push, so pin the floating-major and branch references in this file first.
D31 · IaC & Container Security · High IaC · ×2
  • High IaC: DS-0002 dockerfiles/Dockerfile — Image user should not be 'root' A container that starts as root runs your process with root's capabilities inside the namespace, so a compromise of the process starts from there. The step: create an unprivileged account in the image (`RUN adduser --system --no-create-home app`), give it ownership of the paths the process writes at runtime (`COPY --chown=` on those layers, or a `RUN chown -R`), and end the final stage with `USER app` so it is the default at start. Build stages that only compile can stay root; it is the stage that RUNS that needs the account. If the process genuinely requires root — it manages the container runtime, ptraces another process or opens raw devices — say so here rather than making a change that breaks it.
  • High IaC: DS-0022 dockerfiles/Dockerfile — Deprecated MAINTAINER used
Warning — 12 finding(s)
D35 · Change Coupling · Change coupling · ×7
  • Change coupling: BoomConfigs.scala ↔ HeteroConfigs.scala generators/chipyard/src/main/scala/config/BoomConfigs.scala — `generators/chipyard/src/main/scala/config/BoomConfigs.scala` and `generators/chipyard/src/main/scala/config/HeteroConfigs.scala` change together 64% of the time (16 of the 25 commits that touched the less-changed of the two, renames followed). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking.
  • Change coupling: HarnessBinders.scala ↔ HarnessBinders.scala fpga/src/main/scala/arty/HarnessBinders.scala — `fpga/src/main/scala/arty/HarnessBinders.scala` and `fpga/src/main/scala/vcu118/HarnessBinders.scala` change together 60% of the time (6 of the 10 commits that touched the less-changed of the two, renames followed) with no explicit dependency — the edge is real but nothing declares it. Read the pair before acting: if one registers itself into the other through a hook or an initialiser, the missing dependency is DELIBERATE (that is what the inversion buys) and the thing to add is a comment saying so, not a merge; if they simply belong together, co-locate them; if neither holds, the coupling is hidden and worth breaking.
  • Change coupling: RocketConfigs.scala ↔ TutorialConfigs.scala generators/chipyard/src/main/scala/config/RocketConfigs.scala — `generators/chipyard/src/main/scala/config/RocketConfigs.scala` and `generators/chipyard/src/main/scala/config/TutorialConfigs.scala` change together 58% of the time (11 of the 19 commits that touched the less-changed of the two, renames followed). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking.
  • Change coupling: HeteroConfigs.scala ↔ RocketConfigs.scala generators/chipyard/src/main/scala/config/HeteroConfigs.scala — `generators/chipyard/src/main/scala/config/HeteroConfigs.scala` and `generators/chipyard/src/main/scala/config/RocketConfigs.scala` change together 56% of the time (14 of the 25 commits that touched the less-changed of the two, renames followed). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking.
  • Change coupling: Configs.scala ↔ Configs.scala fpga/src/main/scala/arty/Configs.scala — `fpga/src/main/scala/arty/Configs.scala` and `fpga/src/main/scala/vc707/Configs.scala` change together 53% of the time (9 of the 17 commits that touched the less-changed of the two, renames followed) with no explicit dependency — the edge is real but nothing declares it. Read the pair before acting: if one registers itself into the other through a hook or an initialiser, the missing dependency is DELIBERATE (that is what the inversion buys) and the thing to add is a comment saying so, not a merge; if they simply belong together, co-locate them; if neither holds, the coupling is hidden and worth breaking.
  • Change coupling: Subsystem.scala ↔ TestSuites.scala generators/chipyard/src/main/scala/Subsystem.scala — `generators/chipyard/src/main/scala/Subsystem.scala` and `generators/chipyard/src/main/scala/TestSuites.scala` change together 50% of the time (11 of the 22 commits that touched the less-changed of the two, renames followed). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking.
  • Change coupling: HarnessBinders.scala ↔ HarnessBinders.scala fpga/src/main/scala/arty100t/HarnessBinders.scala — `fpga/src/main/scala/arty100t/HarnessBinders.scala` and `fpga/src/main/scala/vcu118/HarnessBinders.scala` change together 50% of the time (5 of the 10 commits that touched the less-changed of the two, renames followed) with no explicit dependency — the edge is real but nothing declares it. Read the pair before acting: if one registers itself into the other through a hook or an initialiser, the missing dependency is DELIBERATE (that is what the inversion buys) and the thing to add is a comment saying so, not a merge; if they simply belong together, co-locate them; if neither holds, the coupling is hidden and worth breaking.
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[0].suggestion | LineNumber: 0 | BytePositionInLine: 1055.
D3 · God Classes · FileTooLong · ×1
  • FileTooLong: macros/MacroCompiler.scala tools/tapeout/src/main/scala/macros/MacroCompiler.scala:0 — FileTooLong — 590 significant lines (blank, comment-only and punctuation-only lines excluded). 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.
D31 · IaC & Container Security · Medium IaC · ×1
  • Medium IaC: DS-0013 dockerfiles/Dockerfile — 'RUN cd ...' to change directory
D36 · Supply-chain Provenance & Signing · Unpinned build actions · ×1
  • Unpinned build actions — CI references GitHub Actions by a floating ref (@main / @tag) rather than a pinned commit SHA, weakening build integrity. 70 floating ref(s) across 5 workflow file(s). Each floating ref is itemized at file:line by the SAST (D29) lens.
D36 · Supply-chain Provenance & Signing · Workflow token permissions not restricted · ×1
  • Workflow token permissions not restricted — No workflow declares a `permissions:` block, so every job runs with the repository's default GITHUB_TOKEN scope (6 workflow file(s) checked). On a repository whose default is read/write, a compromised action or a malicious pull request inherits write access to code, issues, releases and packages. Declare a least-privilege `permissions:` block — `permissions: {contents: read}` at the top of each workflow, widened per job only where a job genuinely writes.
Recommendation — 10 finding(s)
D11 · Test Reliability · Test reliability not included · ×1
  • Test reliability not included — Test source is present (.scala) 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.
D15 · Churn × Complexity Hotspots · complexity unreadable for .py, .scala · ×1
  • complexity unreadable for .py, .scala — churn × complexity hotspots could not be measured — A hotspot is churn × complexity. Churn was measured (3196 line(s) across the 90-day window), but no complexity could be computed for .py, .scala, which is most of this repository's production code — so every churned file would score as complexity 0 and the hotspot list would be empty no matter how tangled the code is. Not scored — this is a gap in the analysis run, not a finding about this repository.
D16 · Bus Factor · Off-boarding risk · ×1
  • Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 2 significant file(s) lose their only recent owner: generators/chipyard/src/main/scala/SpikeTile.scala, fpga/src/main/scala/arty100t/HarnessBinders.scala. Pair on, review, or document these before any departure.
D16 · Bus Factor · Further sole-owners (lower concentration) · ×1
  • Further sole-owners (lower concentration) — 2 other contributor(s) are each the sole owner of a small amount of code below the off-boarding threshold — folded into the bus-factor score and metrics (5 single-owned of 88 analysed files in total, counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first). They are anonymized user #2 (2 file(s)), anonymized user #3 (1 file(s)) — spread or document their files in the same way, at lower priority than the named off-boarding risks above.
D34 · Knowledge Freshness · knowledge concentrated in recent work · ×1
  • knowledge concentrated in recent work — freshness signal contradicted by repo activity — File-level freshness contradicts repo activity: 36 commits in the last 90 days, yet 63 of 88 significant files carry no living knowledge. Those two readings cannot both be true, so the per-file recency signal is treated as unreliable here and freshness is not scored for this run.
D36 · Supply-chain Provenance & Signing · No build provenance · ×1
  • No build provenance — No SLSA provenance generation or build attestation found in CI — nothing binds a released artifact to the build that produced it, so a consumer cannot tell your artifact from a substituted one. On GitHub Actions, `actions/attest-build-provenance` (or slsa-github-generator) emits one from the job's own OIDC identity; elsewhere, run `cosign attest` over the released artifact from the release pipeline and publish the attestation beside it.
D36 · Supply-chain Provenance & Signing · No artifact signing · ×1
  • No artifact signing — No artifact signing found in CI — sign your released artifacts with whatever your ecosystem ships (a GPG/minisign detached signature — or `cosign sign-blob` — over the release archives, or over a checksum file published alongside them) so consumers can verify what you built.
D36 · Supply-chain Provenance & Signing · No SBOM · ×1
  • No SBOM — No SBOM generation or committed SBOM found — produce one with what your ecosystem ships (`syft` (or `anchore/sbom-action` in CI) over the source tree or released image). Publish it as a release asset (`*.spdx.json` / `*.cdx.json`) so consumers can see what they are installing.
D38 · OSV Dependency Vulnerabilities · Scanner failed to run · ×1
  • Scanner failed to run — not a clean result — osv-scanner exited 127 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 (.scala) 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 (`sbt clean coverage test coverageReport` via sbt-scoverage) 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 (an sbt build (build.sbt), a Python pyproject.toml/requirements.txt (pip/uv/Poetry) and package.json) 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.

DimensionToolVersionCommandFindingsRaw output
D28 · Secrets (history)gitleaks—gitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .0artifacts/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 .12artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilitiesnone (no readable dependency manifest)—none (no readable dependency manifest): not present in this environment0—
D31 · IaC & Container Securitytrivy—trivy config --format json --quiet .5artifacts/raw/trivy-config.json
D32 · Data Compliance (PII/GDPR)semgrep—semgrep: not applicable — Data compliance (PII/GDPR) was not assessed in this scan — no ruleset is currently available for it. This says nothing about how this repository handles personal data, in either direction.0—
D33 · JS/npm Dependency Vulnerabilitiestrivy—trivy fs --scanners vuln --format json --quiet --severity CRITICAL,HIGH,MEDIUM,LOW --skip-dirs **/bin/** --skip-dirs **/obj/** . --skip-db-update0—
D37 · Vulnerability-disclosure Policydisclosure—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 Vulnerabilitiesosv-scanner—osv-scanner --format json --recursive .0artifacts/raw/osv-scanner.json
D40 · Network Egress Confinementruntime-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 Confinementruntime-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 Enforcementruntime-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 019fc5a1-adc7-7904-8aef-10bc98346a5c · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Issues: 14 · Warnings: 12 · Recommendations: 10 · Info: 2 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 03-08-2026 @ 03:18 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.

⬇ Findings, MITRE CWE-tagged .sarif⬇ Health changelog .md