apidash — 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.

foss42/apidash is in good health (72%). It can be evolved and depended on with normal engineering discipline; the items below are improvements, not blockers.

It is strongest in Domain Modelling (100%) — the domain model is expressive and well-guarded. Code Health (98%) is solid too.

The area that most needs attention is Readiness (64%) — 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: Nothing pauses a release for a human (Deployment & Rollback); Stamp a version in your build/package manifest (e.g. csproj <Version> (Release Hygiene); Run the test suite in CI via an explicit runner step for your stack (CI/CD gates).

For scale: Medium (~44,209 production lines); rebuilding it from scratch would take roughly ~1.1 person-years (~1–3 engineers). 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 98% ★ Exemplary Architecture 94% ★ Exemplary Maturity 71% Strong Readiness 64% Adequate Security 77% Adequate · gated by D36 Domain Modelling 100% ★ Exemplary

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 64% · 46% weightMaturity 71% · 25% weightSecurity 77% · 14% weightArchitecture 94% · 8% weightCode Health 98% · 4% weightDomain Modelling 100% · 2% weight

Raise Readiness 64 → 70 (the Healthy floor) ⇒ headline 72 → ~75.

Code composition — where the lines go

Tests 100%

Rebuild cost & value ~ Modeled — €53,000–€260,000

Cost to rebuild	€53,000–€260,000 (0.5–1.7 person-years (877–2,782 h), ~1–3 engineers)
Domain complexity	Standard — harder problems cost more per line
Quality factor	1.1× (at 72% quality) — the last 20% of quality is most of the work
Size & shape	Medium · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)

This codebase represents roughly ~1.1 person-years of build effort (about ~€160,000 to rebuild). Its weakest lens is Readiness at 64% — 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 1.1× 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.

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.

+7.8 pts · Medium effort · Deployment & 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.

+7.8 pts · Medium effort · Release Hygiene

Run the test suite in CI via an explicit runner step for your stack, and gate merges on it.

+5.2 pts · Medium effort · CI/CD gates

Diagnosis — what's actually going on

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

This is a Medium asset (~1.1 person-years to rebuild), and its weakest lens is Readiness at 64%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.

Evidence: valuation: Medium, ~1.1 person-years rebuild (44,209 LoC) · weakest lens: Readiness 64%

→ 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: 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. The rest can wait behind it.

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

→ 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.

Architecture — module dependency matrix

18 modules, 15 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 · 98% · Exemplary

The Good

D3 · Dart God Classes 9.7 D4 · Dart Code Duplication 10.0

At a glance — Architecture · 94% · Exemplary

The Good

D35 · Dart Change Coupling 8.9 AX9 · Repo CQS / query purity 10.0

At a glance — Maturity · 71% · Strong

The Good

D16 · Dart Bus Factor 9.2 D19 · Dart Documentation Quality 9.0 D21 · Dart Naming Consistency 10.0 D34 · Dart Knowledge Freshness 8.2 M3 · Repo Folder & project structure 10.0 M4 · Repo Documentation accuracy 10.0

The Bad

M1 · Repo Documentation (README) 6.0 M2 · Repo Architecture documentation 5.0

At a glance — Readiness · 64% · Adequate

The Good

D13 · Dart Secret Scanning 10.0 P1 · Repo CI/CD gates 8.5 P3 · Repo Security & performance tooling 7.0

The Bad

P4 · Repo Deployment & Rollback 5.0 P6 · Repo Release Hygiene 5.0

At a glance — Security · 77% · Adequate · gated by D36

The Good

D28 · Dart Secrets (history) 9.0 D29 · Dart Static Analysis (SAST) 7.1 D37 · Dart Vulnerability-disclosure Policy 10.0 D38 · Dart OSV Dependency Vulnerabilities 10.0

The Ugly

D36 · Dart Supply-chain Provenance & Signing 2.5

At a glance — Domain Modelling · 100% · Exemplary

The Good

DM4 · Repo Rich vs anemic domain model 10.0 DM5 · Repo Encapsulated state 10.0 DM6 · Repo Domain ↔ infrastructure boundary 10.0

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
A03:2021 — Injection	2	High / Critical

Roadmap

First, secure the release process by implementing draft releases or manual gates to prevent bad builds from reaching users. Next, enforce release hygiene by stamping version numbers in build manifests to ensure full traceability. Then, configure CI/CD pipelines to run tests and block merges on failures. Finally, improve onboarding by adding a quick-start section to the README and document key architectural decisions in a dedicated directory.

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

Do this	Helps	Effort	Dimension
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.	+7.8 pts	Medium	Deployment & 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.	+7.8 pts	Medium	Release Hygiene
Run the test suite in CI via an explicit runner step for your stack, and gate merges on it.	+5.2 pts	Medium	CI/CD gates
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.	+4.2 pts	Medium	Documentation (README)
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).	+4.2 pts	Medium	Architecture documentation
Resolve the 2 Orphaned knowledge finding(s) in Knowledge Freshness — start with json_explorer.dart, json_explorer_store.dart.	+2.1 pts	Low	Knowledge Freshness
Resolve the 1 The test-generation section mentions coverage/lcov.info and… finding(s) in Documentation Quality — start with testing.md.	+1.3 pts	Low	Documentation Quality
Resolve the 2 Off-boarding risk finding(s) in Bus Factor.	+1.0 pts	Low	Bus Factor

File quality

Per-file score 0–10 — a quality signature. Of 11 files carrying findings, judged against the Production bar: 0% slop · 18% mixed · 82% near-clean.

File	Score	Band	Worst signal
.github/dependabot.yml	7.2	Mixed	Static Analysis (SAST): High: dependabot-missing-cooldown
.github/workflows/scorecard.yml	7.2	Mixed	Static Analysis (SAST): High: github-actions-mutable-action-tag
lib/screens/home_page/collection_pane.dart	8.0	Near-clean	Change Coupling: Boundary-crossing change coupling: collection_pane.dart ↔ tab_label.dart
lib/screens/home_page/editor_pane/editor_request.dart	8.0	Near-clean	Change Coupling: Boundary-crossing change coupling: editor_request.dart ↔ tab_label.dart
lib/screens/settings_page.dart	8.0	Near-clean	Change Coupling: Boundary-crossing change coupling: settings_page.dart ↔ tab_label.dart
lib/screens/home_page/editor_pane/url_card.dart	8.0	Near-clean	Change Coupling: Boundary-crossing change coupling: url_card.dart ↔ tab_label.dart
lib/dashbot/providers/chat_viewmodel.dart	8.5	Near-clean	God Classes: FileTooLong: providers/chat_viewmodel.dart
lib/consts.dart	8.5	Near-clean	God Classes: FileTooLong: lib/consts.dart
doc/gsoc/2025/codes/example4.dart	8.5	Near-clean	God Classes: FileTooLong: codes/example4.dart
lib/screens/common_widgets/auth/api_key_auth_fields.dart	8.5	Near-clean	Change Coupling: Change coupling clique: api_key_auth_fields.dart, basic_auth_fields.dart, bearer_auth_fields.dart, digest_auth_fields.dart, jwt_auth_fields.dart
doc/dev_guide/testing.md	9.5	Near-clean	Documentation Quality: The test-generation section mentions coverage/lcov.info and merge_coverage.sh but does not explain how to run tests on a single file (flutter test <file_path>.dart) from the command line.

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. 23 of 25 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 2 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.5 — 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 — 25 dimensions across the health lenses

D3D4D13D16D19D21D28D29D34D35D36D37D38AX9DM4DM5DM6M1M2M3M4P1P3P4P6

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, 13 of 24 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 019fd3fb-fbce-7a9e-a6b0-726602ac118a.

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.

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.

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.
D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement.
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").
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.
AX9 CQS / query purity: Handlers are found by interface/name convention — a query handler using neither is not seen. Mutation is a resolved write/publish invocation (SaveChanges/repository/bus), so a write hidden behind a hand-rolled wrapper, reflection, or a string-keyed service locator resolves to a non-persistence type and isn't flagged; it detects that a query writes state, not whether the write is a legitimate read-side cache update. Clean means "no resolved write/publish in a query body", not a proof of CQS purity.
DM4 Rich vs anemic domain model: Behaviour is detected as state mutation inside a method body — a method that enforces an invariant by validating-and-throwing without mutating reads as a query, and mutation delegated through an interface the scan can't resolve isn't credited; entities with zero public properties still drop out of the population. It detects that state changes, not whether the rule is correct.
DM6 Domain ↔ infrastructure boundary: Infrastructure reached through a hand-rolled wrapper, a domain-named facade, reflection, or a string-keyed service locator resolves to a non-infra type and isn't seen; the body scan is symbol resolution over syntax, not full dataflow. A clean result means "no resolved infra reference in a domain body", not a proof of purity.
M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.

The LLM boundary

LLM-set scores this run (3): D19, D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score (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

3 god class(es) detected.

FileTooLong: providers/chat_viewmodel.dart · ×3lib/dashbot/providers/chat_viewmodel.dart:0

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.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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D16 · Bus Factor9.2 / 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 9.2 / 10 · rule-coverage 100% · ceiling Documented

15 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is lib/widgets/previewer_json.dart.

Off-boarding risk: anonymized user #1 · ×2

✓ On the Gold path — maintain.

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

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D19 · Documentation Quality / 10Exemplary◐ Sampled · advisory

What it measures: Whether the project's documentation is clear, complete, and useful.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic doc sample (READMEs plus first 25 architecture docs), with two-pass stability filtering. Advisory, sampled.

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

API Dash's documentation is clear, complete, and well-structured. The README opens with a strong branding banner (Discord invite link, GSoC links, and a call to action) plus an outline of the project's features, followed by a detailed download table and a comprehensive security guide that covers purpose, quick start for researchers and users, contact channels, contribution guidelines, and a dedicated Security Contributions Guide. The user-guide docs are exhaustive: each topic is listed in order with links to specific markdown files (request editor, code generation, authentication, scripting), and the scripting section is cut by the scanner but the outline confirms all sections exist. A focused How-to-Run-Generated-Code guide for 22 programming languages plus cURL installation steps rounds out the documentation. The documentation is comprehensive and well-organized for a cross-platform API testing client: the READMEs cover CORS proxy setup (Node.js/cors-anywhere), environment variables management with scope precedence, SSL disablement, Dashbot in-app help, collections/reordering, code generation across 30 languages/libraries, authentication types, and a threat model plus an incident response plan. The architecture/design docs are also thorough for the project's size. The documentation is clear and complete for a monorepo project with multi-package architecture. The READMEs cover testing (melos bootstrap, coverage merging, single-file tests), local setup (forking, clone, platform selection, melos setup), platform-specific instructions (CocoaPods entitlements, Android multidex, Arch PKGBUILD checksum updates, FlatHub flatpak steps), and packaging for Windows (.exe), macOS (.app/.dmg), Linux Debian/RPM, Arch PKGBUILD, FlatHub, Homebrew, and Chocolatey. The guide is well-structured with a visible outline (packaging.md) and cross-references to the official Flutter desktop docs.

The test-generation section mentions coverage/lcov.info and merge_coverage.sh but does not explain how to run tests on a single file (flutter test <file_path>.dart) from the command line.doc/dev_guide/testing.md

✓ On the Gold path — maintain.

Detailed fixes: d19_recommendation.md · top locations in Appendix A, every location in findings.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)9.0 / 10Exemplary✓ Tool-verified

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 9.0 / 10 · rule-coverage 100% · ceiling Documented

1 finding(s): 0 critical, 1 high, 0 medium, 0 low. Remediation for historically-committed secrets is credential rotation — they remain in history regardless of later deletion.

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

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D29 · Static Analysis (SAST)7.1 / 10Strong✓ 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 7.1 / 10 · rule-coverage 100% · ceiling Documented

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

High: dependabot-missing-cooldown · ×2.github/dependabot.yml:8detected by semgrep finding

What to do

Resolve the 2 High finding(s) in Static Analysis (SAST) — start with dependabot.yml, scorecard.yml. — One of this dimension's main actionable groups (2 issue-level).

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

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D34 · Knowledge Freshness8.2 / 10Strong✓ 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 8.2 / 10 · rule-coverage 100% · ceiling Documented

34 of 190 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is packages/json_explorer/lib/src/json_explorer.dart.

Orphaned knowledge · ×2packages/json_explorer/lib/src/json_explorer.dart

Further orphaned files (smaller)

What to do

Resolve the 2 Orphaned knowledge finding(s) in Knowledge Freshness — start with json_explorer.dart, json_explorer_store.dart. — One of this dimension's main actionable groups (2 issue-level).
Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.

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D35 · Change Coupling8.9 / 10Strong✓ 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 8.9 / 10 · rule-coverage 100% · ceiling Documented

Strongest change-coupling: api_key_auth_fields.dart↔basic_auth_fields.dart 92%; api_key_auth_fields.dart↔bearer_auth_fields.dart 91%; basic_auth_fields.dart↔bearer_auth_fields.dart 91%

Boundary-crossing change coupling: collection_pane.dart ↔ tab_label.dart · ×4lib/screens/home_page/collection_pane.dart

Change coupling clique: api_key_auth_fields.dart, basic_auth_fields.dart, bearer_auth_fields.dart, digest_auth_fields.dart, jwt_auth_fields.dartlib/screens/common_widgets/auth/api_key_auth_fields.dart

What to do

Resolve the 4 Boundary-crossing change coupling finding(s) in Change Coupling — start with collection_pane.dart, editor_request.dart, settings_page.dart. — One of this dimension's main actionable groups (4 issue-level).
Resolve the 1 Change coupling clique finding(s) in Change Coupling — start with api_key_auth_fields.dart. — One of this dimension's main actionable groups (1 warning-level).

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

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D36 · Supply-chain Provenance & Signing2.5 / 10Weak✓ 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 2.5 / 10 · rule-coverage 100% · ceiling Documented

1/4 supply-chain integrity signals present (provenance, signing, SBOM, pinned actions).

Unpinned build actions

No build provenance

No artifact signing

What to do

Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 No build provenance finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 recommendation-level).
Resolve the 1 No artifact signing 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.

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D37 · Vulnerability-disclosure Policy10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether the repository publishes a coordinated-vulnerability-disclosure policy (SECURITY.md or security.txt) with a reporting contact, so finders know how to report a vulnerability. Presence of a policy file with a contact, not whether the policy is adequate or honoured.

Method: Vulnerability-disclosure policy read deterministically from the repo: a SECURITY.md (root/.github/docs) or .well-known/security.txt / security.txt, regex-checked for a reporting contact (email / URL / mailto). Present + contact → 10; present without a contact → 4; NotApplicable when no policy file exists (it may live off-repo). Detects the policy file's presence + contact, not its adequacy.

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

A vulnerability-disclosure policy (SECURITY.md) is published with a reporting contact.

✓ On the Gold path — maintain.

Detailed fixes: d37_recommendation.md.

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D38 · OSV Dependency Vulnerabilities10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether dependencies have known published vulnerabilities (CVEs) per the OSV database — read natively from whatever lockfile the repository ships (Cargo, npm, Go, Python, Maven, RubyGems, …). D33 and D30 add ecosystem-specific scanners on top for npm and .NET.

Method: Multi-ecosystem dependency-CVE scan via osv-scanner --recursive (queries the osv.dev database + parses lockfiles natively across ecosystems: npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven/Gradle pom.xml/gradle.lockfile, PyPI requirements.txt/poetry.lock/Pipfile.lock, Composer composer.lock, RubyGems Gemfile.lock, Hex mix.lock, pub pubspec.lock, Swift Package.resolved); severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer (8.0). NotApplicable only when the repo declares no supported non-.NET dependency lockfile (a NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain); coverage needs a resolved lockfile. Additive to D33 (trivy fs); exhaustive + deterministic, DB kept fresh.

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

No known-vulnerable dependencies (OSV).

✓ On the Gold path — maintain.

Detailed fixes: d38_recommendation.md.

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Frontend & cross-cutting dimensions

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

AX9 · CQS / query purity10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether read (query) handlers stay side-effect-free — a query that writes persistent state or raises events breaks CQS and makes reads unsafe to retry, cache, or route to a read replica.

Method: Roslyn scan: CQRS handlers classified query-vs-command by interface (IQueryHandler/ICommandHandler/IRequestHandler<TQuery,TResult>) and name convention (*Query/Get*/Find* vs *Command); each query handler's body checked for persistent-state writes (SaveChanges/repository Add-Update) or event publishes by resolved invocation. Deterministic, type-level, exhaustive over the detected handlers.

Coverage: Population: CQRS handlers identified by IQueryHandler/ICommandHandler/IRequestHandler interface + *Query/Get*/Find*/*Command NAME convention; query purity then checked exhaustively within that set — a query handler using neither convention is invisible, and mutation is a resolved persistence/publish CALL, not full dataflow.

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DM4 · Rich vs anemic domain model10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether domain entities own their behaviour — a data-only entity with public mutable state whose logic lives in a foreign service is anemic. Rich models enforce their own invariants; an immutable `@freezed`/`@immutable` value class is rich by construction.

Method: Roslyn (DDD-gated): entity method BODIES classified mutator-vs-query — only methods that mutate the entity's own declared state count as invariant-protecting behaviour, so a getter/passthrough doesn't rescue an anemic class. Deterministic, exhaustive over domain-layer entities.

Coverage: Population: entities by name/base convention; rich-vs-anemic judged by classifying each method body mutator-vs-query — logic-bearing domain types outside the convention are invisible.

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DM5 · Encapsulated state10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether an entity protects its own invariants — a class whose identity is derived from its fields (value equality) but whose fields are publicly mutable bypasses that invariant. Encapsulated state keeps identity-bearing fields immutable.

Method: Roslyn (DDD-gated): public setters on entities detected; score softened when Marten/EF rehydration frameworks present. Deterministic, framework-aware.

Coverage: Population: entities by convention; encapsulation (setter shape) checked exhaustively within the set.

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DM6 · Domain ↔ infrastructure boundary10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether the domain layer stays free of infrastructure dependencies — a domain entity fused to a persistence ORM (drift/floor/isar/objectbox/hive) on its own declaration (active-record) couples the domain to infrastructure. The clean-architecture dependency rule.

Method: Roslyn (DDD-gated): domain-layer types scanned for infrastructure usage in member SIGNATURES and inside method/accessor BODIES — resolved calls and object-creations into EF/Marten/HTTP/Mongo/Redis/message-bus types (not just a namespace allowlist). Deterministic, symbol-resolved, exhaustive over domain-layer bodies, DDD-native.

Coverage: Domain layer identified by NAMESPACE heuristic; infrastructure then resolved by symbol in member SIGNATURES and method/accessor BODIES — rename the layer and the check evaporates.

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M1 · Documentation (README)6.0 / 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.

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M2 · Architecture documentation5.0 / 10Adequate✓ 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).

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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 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.

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P1 · CI/CD gates8.5 / 10Strong✓ Tool-verified

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

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

A CI pipeline exists and the word "test" appears, but no explicit test-runner invocation (your stack's test command, or a test job) was matched — so either the gate runs tests through a step this pass could not recognise, or "test" is incidental here (a path, "latest", a reporter). Check the coverage dimensions first: if this repo has no test suite yet, that is the finding and this row follows from it. If a suite does exist, make the runner step explicit so the gate is unambiguous.

What to do

Run the test suite in CI via an explicit runner step for your stack, and gate merges on it.

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P3 · Security & performance tooling7.0 / 10Strong✓ 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

Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.

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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.

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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.

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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	98%	Exemplary	Solid.
Architecture	94%	Exemplary	Solid.
Maturity	71%	Strong	Solid.
Readiness	64%	Adequate	Largest drag on the score — prioritise here.
Security	77%	Adequate — gated by D36	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Domain Modelling	100%	Exemplary	Strongest area.

Not included — 74 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
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 (.dart) 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 — ~70270 lines of test source are present (.dart) 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 Dart pubspec.yaml), 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 .dart — 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.
D2 Cognitive Complexity — Most of this repository's production source (.dart) 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 (.dart) 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 Dart pubspec.yaml — 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.
D32 Data Compliance (PII/GDPR) — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
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.
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 .dart, 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 (.dart) 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 Aggregate boundaries — not scored for Dart: aggregate-vs-value-object classification cannot be told apart in source (every class-holding-class reads alike), and a child COLLECTION (legitimate membership) vs a single embedded aggregate is indistinguishable — reported as guidance rather than measured
DM2 Strongly-typed ids — no in-repo typed-id idiom — primitive-obsession recorded as advisory DM8, DM2 not gated
DM3 Integration-event coupling — not scored for Dart: a cross-package domain leak cannot be told apart in source from a legitimate shared-kernel package, and most repositories ship a single package — reported as guidance rather than measured
DM7 Repository granularity — not scored for Dart: 'a repository per CHILD entity' needs the aggregate-root structure, which is not source-resolvable — reported as guidance rather than measured
ED2 Event/command shape — not scored — deciding whether a command has more than one competing handler requires resolving the call graph, which this analysis does not build from source alone for this language. Reported as guidance rather than measured
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 (lcov — `flutter test --coverage` (or `dart test --coverage=coverage` then `dart run coverage:format_coverage --lcov`)) 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 — 8 finding(s)

D35 · Change Coupling · Boundary-crossing change coupling · ×4

Boundary-crossing change coupling: collection_pane.dart ↔ tab_label.dart lib/screens/home_page/collection_pane.dart — `lib/screens/home_page/collection_pane.dart` (context screens) and `lib/widgets/tab_label.dart` (context widgets) sit in DIFFERENT parts of the tree yet change together 67% of the time (8 of the 12 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
Boundary-crossing change coupling: editor_request.dart ↔ tab_label.dart lib/screens/home_page/editor_pane/editor_request.dart — `lib/screens/home_page/editor_pane/editor_request.dart` (context screens) and `lib/widgets/tab_label.dart` (context widgets) sit in DIFFERENT parts of the tree yet change together 67% of the time (8 of the 12 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
Boundary-crossing change coupling: settings_page.dart ↔ tab_label.dart lib/screens/settings_page.dart — `lib/screens/settings_page.dart` (context screens) and `lib/widgets/tab_label.dart` (context widgets) sit in DIFFERENT parts of the tree yet change together 58% of the time (7 of the 12 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
Boundary-crossing change coupling: url_card.dart ↔ tab_label.dart lib/screens/home_page/editor_pane/url_card.dart — `lib/screens/home_page/editor_pane/url_card.dart` (context screens) and `lib/widgets/tab_label.dart` (context widgets) sit in DIFFERENT parts of the tree yet change together 58% of the time (7 of the 12 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.

D29 · Static Analysis (SAST) · High · ×2

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.
High: github-actions-mutable-action-tag .github/workflows/scorecard.yml:76 — 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: github/codeql-action/upload-sarif@<40-character SHA>`. This step references `github/codeql-action/upload-sarif@v3`; resolve the SHA it points at today with `gh api repos/github/codeql-action/commits/v3 --jq .sha`. `github/codeql-action/upload-sarif` is hosted INSIDE the `github/codeql-action` repository (a subdirectory action or a reusable workflow), so the SHA to pin is that repository's commit — keep the full `github/codeql-action/upload-sarif` path in `uses:` and query only `github/codeql-action`.

D34 · Knowledge Freshness · Orphaned knowledge · ×2

Orphaned knowledge packages/json_explorer/lib/src/json_explorer.dart — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
Orphaned knowledge packages/json_explorer/lib/src/json_explorer_store.dart — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.

Warning — 5 finding(s)

D3 · God Classes · FileTooLong · ×3

FileTooLong: providers/chat_viewmodel.dart lib/dashbot/providers/chat_viewmodel.dart:0 — FileTooLong — 698 significant lines (blank, comment-only and punctuation-only lines excluded), about 97% of them inside a single declaration: ChatViewmodel (24-942). Moving the declarations that sit BESIDE it into sibling files will not shorten this file. Extract from INSIDE that declaration instead: lift each cohesive group of its body — the parts that share the same inputs and are named together — into its own unit in a sibling file, and have the original call them.
FileTooLong: lib/consts.dart lib/consts.dart:0 — FileTooLong — 573 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.
FileTooLong: codes/example4.dart doc/gsoc/2025/codes/example4.dart:0 — FileTooLong — 513 significant lines (blank, comment-only and punctuation-only lines excluded), about 98% of them inside a single declaration: SDUIWidget (21-743). Moving the declarations that sit BESIDE it into sibling files will not shorten this file. Extract from INSIDE that declaration instead: lift each cohesive group of its body — the parts that share the same inputs and are named together — into its own unit in a sibling file, and have the original call them.

D35 · Change Coupling · Change coupling clique · ×1

Change coupling clique: api_key_auth_fields.dart, basic_auth_fields.dart, bearer_auth_fields.dart, digest_auth_fields.dart, jwt_auth_fields.dart lib/screens/common_widgets/auth/api_key_auth_fields.dart — 5 files — `lib/screens/common_widgets/auth/api_key_auth_fields.dart`, `lib/screens/common_widgets/auth/basic_auth_fields.dart`, `lib/screens/common_widgets/auth/bearer_auth_fields.dart`, `lib/screens/common_widgets/auth/digest_auth_fields.dart`, `lib/screens/common_widgets/auth/jwt_auth_fields.dart` — all change together with no explicit dependency: a fully-connected co-change clique, not 10 separate couplings. They share one concern (thin parallel siblings over a common abstraction), so extract the shared part into ONE unit and the whole clique's coupling clears at once — you do not need to break each pair individually.

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. 1 floating ref(s) across 1 workflow file(s). Each floating ref is itemized at file:line by the SAST (D29) lens.

Recommendation — 9 finding(s)

D16 · Bus Factor · Off-boarding risk · ×2

Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 9 significant file(s) lose their only recent owner: lib/widgets/previewer_json.dart, lib/widgets/previewer_video.dart, lib/dashbot/services/curl_import_service.dart, packages/genai/lib/utils/ai_request_utils.dart, packages/apidash_core/lib/utils/curl_utils.dart, lib/terminal/widgets/terminal_level_filter_menu.dart, lib/screens/mobile/requests_page/request_response_page.dart, lib/widgets/text_highlighted_selectable.dart (+1 more). Pair on, review, or document these before any departure.
Off-boarding risk: anonymized user #2 — If anonymized user #2 becomes unavailable, 6 significant file(s) lose their only recent owner: lib/screens/common_widgets/auth/oauth2_field.dart, packages/better_networking/lib/services/oauth_callback_server.dart, packages/better_networking/lib/utils/auth/oauth2_utils.dart, lib/screens/common_widgets/auth/oauth1_fields.dart, packages/better_networking/lib/utils/auth/oauth1_utils.dart, packages/better_networking/lib/utils/auth/jwt_auth_utils.dart. Pair on, review, or document these before any departure.

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

Test reliability not included — Test source is present (.dart) 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 .dart · ×1

complexity unreadable for .dart — churn × complexity hotspots could not be measured — A hotspot is churn × complexity. Churn was measured (33458 line(s) across the 90-day window), but no complexity could be computed for .dart, 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.

D19 · Documentation Quality · The test-generation section mentions coverage/lcov.info and merge_coverage.sh but does not explain how to run tests on a single file (flutter test <file_path>.dart) from the command line. · ×1

The test-generation section mentions coverage/lcov.info and merge_coverage.sh but does not explain how to run tests on a single file (flutter test <file_path>.dart) from the command line. doc/dev_guide/testing.md — Add a brief note under 'Testing a single file' that links back to the coverage/merge script so readers can choose between full workspace coverage or per-file testing.

D34 · Knowledge Freshness · Further orphaned files (smaller) · ×1

Further orphaned files (smaller) — 32 smaller file(s) also have no living knowledge — folded into the freshness score and metrics rather than listed individually (34 orphaned of 190 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).

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.

D8 · Code Coverage · Coverage not included · ×1

Coverage not included — suite not readable by the collector — Coverage NOT MEASURED: test source is present (.dart) 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 (lcov — `flutter test --coverage` (or `dart test --coverage=coverage` then `dart run coverage:format_coverage --lcov`)) 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 manifest (a Dart pubspec.yaml) was found, but this pass cannot parse it 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 .	1	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 .	2	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: not applicable — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.	0	—
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	—
D38 · OSV Dependency Vulnerabilities	osv-scanner	—	osv-scanner --format json --recursive .	0	artifacts/raw/osv-scanner.json
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 019fd3fb-fbce-7a9e-a6b0-726602ac118a · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Foss42/apidash

Executive summary

Top priorities

Diagnosis — what's actually going on

Architecture — module dependency matrix

At a glance — Code Health · 98% · Exemplary

At a glance — Architecture · 94% · Exemplary

At a glance — Maturity · 71% · Strong

At a glance — Readiness · 64% · Adequate

At a glance — Security · 77% · Adequate · gated by D36

At a glance — Domain Modelling · 100% · Exemplary

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