Public report — Fleece, published 6 Aug 2026. Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version; ask the repo owner for the full report.
Watchdog 06-08-2026 @ 04:31 UTC Public
Code Health Audit

Fsprojects/Fleece

55% Weak
CriticalWeakAdequateStrongExemplary
lower third — near Weak

Small · 3,693 LoC · rebuild ~0.1 person-years · weakest lens: Maturity (35%)

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

19/21dimensions tool-verifieddeterministic · confidence 1.0 · 2 LLM-assisted, advisory
30findings with an exact file:lineof 37 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
21/94dimensions across the health lenses3693 LoC — wide & deep

Executive summary

Read through the Preview lens: this repo is pre-1.0 / in development, so the colour bands are relaxed to what a preview needs — *green* means good enough for a preview, not yet production-stable. Code correctness and security stay near-strict even here; the score itself is absolute and comparable across repos.

fsprojects/Fleece carries serious gaps (55%). Several issues below can materially affect correctness, security, or the cost of changing it — and propagate to everything that depends on it.

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

The area that most needs attention is Maturity (35%) — onboarding is slow — key decisions and the architecture aren't written down, so contributors have to reverse-engineer the intent. Readiness (67%) 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: 6 Orphaned knowledge finding(s) (Knowledge Freshness); Record significant decisions one document per decision (Architecture documentation); build/run (quick start) section to the root README (Documentation (README)).

For scale: Small (~3,693 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.

It builds on a genuinely strong Architecture foundation (100%); the priorities above are the highest-leverage way to bring the rest up to that level.

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.
Maturity 35% · 46% weightReadiness 67% · 25% weightAccessibility 68% · 14% weightCode Health 75% · 8% weightArchitecture 100% · 4% weightSecurity 100% · 2% weight

Raise Maturity 35 → 70 (the Healthy floor) ⇒ headline 55 → ~71.

Code composition — where the lines go
Tests 100%
New since the last scan (15+)

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

  • D4 · Duplicated block (12 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs
  • D4 · Duplicated block (11 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs
  • D4 · Duplicated block (11 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs
  • D4 · Duplicated block (9 lines × 4) src/Fleece.FSharpData/Fleece.FSharpData.fs
  • D4 · Duplicated block (9 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs
  • D4 · Duplicated block (8 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs
  • D4 · Duplicated block (7 lines × 2) src/Fleece/Fleece.fs
  • D4 · Duplicated block (6 lines × 4) src/Fleece/Fleece.fs
  • D4 · Duplicated block (6 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs
  • D4 · Duplicated block (6 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs
  • D4 · Duplicated block (6 lines × 3) src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs
  • D4 · Duplicated block (6 lines × 2) src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs
  • D4 · Duplicated block (6 lines × 2) src/Fleece/Fleece.fs
  • D4 · Duplicated block (5 lines × 4) src/Fleece.FSharpData/Fleece.FSharpData.fs
  • D4 · Duplicated block (5 lines × 2) src/Fleece/Fleece.fs

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 — €1,800–€8,800
Cost to rebuild€1,800–€8,800 (0.1 person-years (29–93 h), ~1 engineer)
Domain complexityStandard — harder problems cost more per line
Quality factor0.8× (at 55% 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 ~€5,300 to rebuild). Its weakest lens is Maturity at 35% — 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 0.8× 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
Resolve the 6 Orphaned knowledge finding(s) in Knowledge Freshness — start with Fleece.fs, doclib.fs, Fleece.SystemTextJson.fs.
+17.9 pts · Low effort · Knowledge Freshness
2
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).
+17.9 pts · Medium effort · Architecture documentation
3
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.
+16.0 pts · Medium effort · Documentation (README)

Diagnosis — what's actually going on

Value concentrated against a weak lens · High · Value at risk
This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Maturity at 35%. 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 (3,693 LoC) · weakest lens: Maturity 35%
→ Direct remediation budget at Maturity 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: Resolve the 6 Orphaned knowledge finding(s) in Knowledge Freshness — start with Fleece.fs, doclib.fs, Fleece.SystemTextJson.fs. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Resolve the 6 Orphaned knowledge finding(s) in Knowledge Freshness — start with Fleece.fs, doclib.fs, Fleece.SystemTextJson.fs.

Architecture — module dependency matrix

12 modules, 5 dependencies — every dependency points down the layering, so there are no cycles. 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.)

DocLibFleeceFleece.FSharpDataFleece.NewtonsoftFleece.SystemJsonFleeceB.Benchmarks…eB.Benchmarks.ProgramPreludeToolsCompatibilityFleece.SystemTextJson…ationCompilationTestsDocLib1Fleece2Fleece.FSharpData3Fleece.Newtonsoft4Fleece.SystemJson5FleeceB.Benchmarks6…eB.Benchmarks.Program7Prelude8Tools9Compatibility10Fleece.SystemTextJson11…ationCompilationTests1231111

At a glance — Code Health · 75% · Strong

At a glance — Architecture · 100% · Exemplary

At a glance — Maturity · 35% · Weak · gated by D34, M2

At a glance — Readiness · 67% · Adequate · gated by P3

At a glance — Security · 100% · Exemplary

At a glance — Accessibility · 68% · Strong

Roadmap

Begin by resolving the six orphaned knowledge findings, starting with Fleece.fs, doclib.fs, and Fleece.SystemTextJson.fs. Next, establish architecture documentation by recording significant decisions in a dedicated directory, ensuring each entry is dated and outlines context, decisions, and consequences. Add a build and run section to the root README to provide immediate guidance for new users. Finally, address the remaining orphaned files and correct structural HTML issues, including language attributes, titles, and landmarks, to improve accessibility and compliance.

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

Do thisHelpsEffortDimension
Resolve the 6 Orphaned knowledge finding(s) in Knowledge Freshness — start with Fleece.fs, doclib.fs, Fleece.SystemTextJson.fs.+17.9 ptsLowKnowledge Freshness
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).+17.9 ptsMediumArchitecture documentation
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.+16.0 ptsMediumDocumentation (README)
Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness.+6.6 ptsLowKnowledge Freshness
Resolve the 1 The README mentions a companion FSharpPlus package but does not link to… finding(s) in Documentation Quality — start with README.md.+2.3 ptsLowDocumentation Quality
Resolve the 1 The example uses System.Text.Json but there is no mention of how to test… finding(s) in Documentation Quality — start with README.md.+2.3 ptsLowDocumentation Quality
Declare <html lang>, a document <title> and a <main> landmark, keep headings in order, leave zoom enabled, title iframes and drop meta-refresh.+2.9 ptsMediumPage structure
Enforce accessibility in the test suite you already have: assert the accessibility invariants over the HTML your app renders — parse the rendered output in an existing test, or drive a real browser from one — and gate that test in CI so a regression blocks the merge.+2.9 ptsMediumA11y enforcement

File quality

Per-file score 0–10 — a quality signature. Of 7 files carrying findings, judged against the Preview bar: 0% slop · 0% mixed · 100% near-clean.

FileScoreBandWorst signal
src/Fleece.FSharpData/Fleece.FSharpData.fs7.0Near-cleanCode Duplication: Duplicated block (12 lines × 3)
src/Fleece/Fleece.fs7.0Near-cleanGod Classes: TooManyMethods: Codecs
src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs7.8Near-cleanCode Duplication: Duplicated block (6 lines × 3)
src/Fleece.SystemTextJson/Fleece.SystemTextJson.fs8.5Near-cleanGod Classes: TooManyMethods: Encoding
docsrc/tool/doclib.fs8.5Near-cleanGod Classes: FileTooLong: tool/doclib.fs
src/Fleece/Compatibility.fs8.5Near-cleanGod Classes: TooManyMethods: Operators
README.md9.3Near-cleanDocumentation Quality: The README mentions a companion FSharpPlus package but does not link to it or explain its role in the design (e.g. To/OfJson typeclasses).

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. 19 of 21 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 0.3 — 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 — 21 dimensions across the health lenses
D3D4D13D19D21D28D29D34D35AC1AC2AC3AC6AC7M1M2M3M4P1P3P6

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, 30 of 37 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 · trivySecrets 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 019fd556-f633-7c16-a3b8-f72ab87ad3aa.

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

A clean run — every tool resolved and ran, and every applicable dimension was measured at full confidence. No scanner was unavailable, no analysis timed out or crashed, and nothing fell back to a degraded estimate.

When something does degrade — a missing scanner, a shallow clone, an LLM hiccup — it is named here explicitly and its exact cause recorded in diagnostics.md, never absorbed silently into the score.

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").
  • 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.
  • AC1 Text alternatives: Alt-text is detected structurally — the scan sees that an alternative EXISTS, not whether it meaningfully describes the image, and decorative-vs-missing is judged by attribute shape; runtime-injected images and a non-role=img decorative svg are out of scope. This is accessibility readiness, never a WCAG conformance claim.
  • AC2 Forms & labels: Label association is read from static markup — a label wired up at runtime (JS-set aria-labelledby, framework-injected ids) reads as missing, a present label says nothing about whether its text is correct. A known UI-library field component (e.g. a JSX <TextField>) is now checked conservatively — flagged only when it carries NO label/aria-label/aria-labelledby/id/name — but wrapper/context-labelled libraries (Chakra/Radix FormControl+FormLabel) aren't statically visible (possible false positive) and non-JSX lowercased components are still skipped. A clean result is "no unlabelled native control found", not a labelling proof.
  • AC3 Page structure: Page structure is read from the static markup tree — landmarks, headings and lang injected at runtime aren't seen, heading ORDER is checked structurally (not against the rendered visual hierarchy), and lang/title/main fire only on full documents, never partials, and the data-table check sees header-cell presence (a <th> exists), not whether each header correctly associates with its cells. Static readiness, not conformance.
  • AC6 Visual & motion safety: Contrast and motion safety are PARTIAL by construction — literal colours (hex/rgb/hsl/named) in inline styles, in-repo <style> blocks, in-repo .css files, var() tokens, Tailwind neutral utilities and CSS-in-JS top-level declarations are read (same-rule/same-element colour+background pairs only); computed/runtime/theme colour, external-CDN stylesheets, CSS-in-JS dynamic (${…}) and nested-selector colours, cross-element pairs and image contrast stay out of reach, so a clean result is bounded by what the static CSS itself shows.
  • AC7 A11y enforcement: Enforcement is scored from in-repo config/CI evidence only — an a11y gate enforced in external tooling with no in-repo trace can't be credited, and a configured linter is presence, not proof the rules actually run or block a merge.
  • 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.
  • 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 Classes6.5 / 10Adequate✓ 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: DocumentedVerifiedPrevented · effective 6.5 / 10 · rule-coverage 100% · ceiling Prevented

6 god class(es) detected.

TooManyMethods: Encoding · ×4src/Fleece.SystemTextJson/Fleece.SystemTextJson.fs:38
FileTooLong: Fleece/Fleece.fs · ×2src/Fleece/Fleece.fs:0

What to do

  1. Resolve the 4 TooManyMethods finding(s) in God Classes — start with Fleece.fs (2), Fleece.SystemTextJson.fs, Compatibility.fs. — One of this dimension's main actionable groups (4 warning-level).
  2. Resolve the 2 FileTooLong finding(s) in God Classes — start with Fleece.fs, doclib.fs. — One of this dimension's main actionable groups (2 warning-level).
  3. Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

D4 · Code Duplication8.6 / 10Strong✓ 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: DocumentedVerifiedPrevented · effective 8.6 / 10 · rule-coverage 100% · ceiling Verified

16 duplicated block group(s) detected.

Duplicated block (6 lines × 3) · ×3src/Fleece.FSharpData/Fleece.FSharpData.fs:130
Duplicated block (11 lines × 3) · ×2src/Fleece.FSharpData/Fleece.FSharpData.fs:97
Duplicated block (6 lines × 2) · ×2src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:196
Duplicated block (12 lines × 3)src/Fleece.FSharpData/Fleece.FSharpData.fs:228
Duplicated block (10 lines × 2)src/Fleece.FSharpData/Fleece.FSharpData.fs:71

+ 7 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Resolve the 3 Duplicated block (6 lines × 3) finding(s) in Code Duplication — start with Fleece.FSharpData.fs (2), Fleece.NewtonsoftJson.fs. — One of this dimension's main actionable groups (3 warning-level).
  2. Resolve the 2 Duplicated block (11 lines × 3) finding(s) in Code Duplication — start with Fleece.FSharpData.fs (2). — One of this dimension's main actionable groups (2 warning-level).
  3. Resolve the 2 Duplicated block (6 lines × 2) finding(s) in Code Duplication — start with Fleece.NewtonsoftJson.fs, Fleece.fs. — One of this dimension's main actionable groups (2 warning-level).
  4. Enforce Code Duplication in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.

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: DocumentedVerifiedPrevented · 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.

D19 · Documentation Quality / 10Strong◐ 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: DocumentedVerifiedPrevented · effective Strong / 10 · rule-coverage 100% · ceiling Documented

The single README is a solid, well-written documentation file for the Fleece JSON mapper. It states the project's purpose and which libraries it supports (System.Json, System.Text.Json, FSharp.Data, Newtonsoft.Json), explains its design philosophy inspired by Aeson, and gives precise download links for each target. The example shows both ToJson and OfJson usage with code that is almost complete before being cut off mid-OfJson match clause.

The README mentions a companion FSharpPlus package but does not link to it or explain its role in the design (e.g. To/OfJson typeclasses).README.md
The example uses System.Text.Json but there is no mention of how to test against it, such as an NUnit/VS unit-test path.README.md

What to do

  1. Resolve the 1 The README mentions a companion FSharpPlus package but does not link to… finding(s) in Documentation Quality — start with README.md. — One of this dimension's main actionable groups (1 recommendation-level).
  2. Resolve the 1 The example uses System.Text.Json but there is no mention of how to test… finding(s) in Documentation Quality — start with README.md. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d19_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: DocumentedVerifiedPrevented · 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: DocumentedVerifiedPrevented · 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)10.0 / 10Exemplary○ Nothing flagged

What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.

Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.

Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

semgrep found no security issues.

✓ On the Gold path — maintain.

Detailed fixes: d29_recommendation.md.

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

What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.

Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.

Maturity: DocumentedVerifiedPrevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

8 of 8 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is src/Fleece/Fleece.fs.

Orphaned knowledge · ×6src/Fleece/Fleece.fs
Further orphaned files (smaller)

What to do

  1. Resolve the 6 Orphaned knowledge finding(s) in Knowledge Freshness — start with Fleece.fs, doclib.fs, Fleece.SystemTextJson.fs. — One of this dimension's main actionable groups (6 issue-level).
  2. 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.

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

What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.

Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.

Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling; coupling through a build step, config, or non-source file isn't seen.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

Frontend & cross-cutting dimensions

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

AC1 · Text alternatives10.0 / 10Exemplary○ Nothing flagged

Other · Accessibility — Whether non-text content carries a text alternative — img/area/input[type=image] have alt, a meaningful svg has a title or aria-label, video has a captions track, and object/embed/canvas have a name or fallback content. Static markup readiness, not a WCAG conformance claim.

Method: Static markup-model scan: every img/area/input[type=image] checked for alt, svg[role=img] for a title/aria-label, video for a captions <track>. Components skipped, spreads suppressed. Deterministic, hard fact per element.

AC2 · Forms & labels10.0 / 10Exemplary○ Nothing flagged

Other · Accessibility — Whether form controls have a programmatic label (an associated label, aria-label or aria-labelledby), buttons have text, links have an accessible name, fieldsets have a non-empty legend, known UI-library field components carry a label prop, and a placeholder isn't used as the only label. Static markup readiness, not a WCAG conformance claim.

Method: Static markup-model scan: inputs/selects/textareas checked for an associated label[for]/wrapping label/aria-label/aria-labelledby (per document), buttons for accessible text, fieldsets for a legend; placeholder-only labelling flagged. Deterministic, hard fact per control.

AC3 · Page structure5.1 / 10Adequate✓ Tool-verified

Other · Accessibility — Whether pages declare a language (well-formed BCP-47) and a non-empty title, expose exactly one main landmark and a sane heading order with non-empty headings, keep zoom enabled, title their iframes, give data tables header cells, and avoid meta-refresh. Static markup readiness, not a WCAG conformance claim.

Method: Static markup-model scan: html lang, document <title>, a main landmark and heading order on full documents only, plus zoom-disabling viewports, untitled iframes and meta-refresh anywhere. Deterministic, per structural checkpoint.

  • A <table> with data cells but no <th> gives assistive technology no way to associate cells with their headers. Mark the header row/column cells as <th> (with a scope). (×3) — part-members.cshtml:3, part-nested.cshtml:2, part-nested.cshtml:29
  • No <main> (or role="main") means no "skip to content" target and a weaker landmark map. Wrap the primary content in <main>. — template.cshtml:2

What to do

  • Declare <html lang>, a document <title> and a <main> landmark, keep headings in order, leave zoom enabled, title iframes and drop meta-refresh.
AC6 · Visual & motion safety10.0 / 10Exemplary○ Nothing flagged

Other · Accessibility — Whether focus outlines aren't removed without a replacement, motion respects prefers-reduced-motion, and literal CSS colour pairs meet contrast — PARTIAL: inline styles, in-repo <style> blocks, in-repo .css files, var() tokens, Tailwind neutral utilities and CSS-in-JS literals are read (hex/rgb/hsl/named), never computed/runtime/external-CDN colour. Static markup readiness, not a WCAG conformance claim.

Method: Static markup/CSS scan: inline outline:none/0, literal inline colour/background contrast against the 4.5:1 AA floor, and <style>-block animation without a prefers-reduced-motion guard. Deterministic but PARTIAL — only inline styles and in-repo CSS literals are visible.

AC7 · A11y enforcement4.0 / 10Weak✓ Tool-verified

Other · Accessibility — Whether accessibility is ENFORCED in the toolchain — an accessibility checker configured over the markup (an a11y lint rule set, e.g. eslint-plugin-jsx-a11y or vuejs-accessibility where the project lints JavaScript) and an automated accessibility assertion wired into tests or CI (axe/pa11y/Lighthouse or an equivalent) — on the Documented→Verified→Prevented ladder.

Method: Repo config/CI scan: an accessibility checker configured over the markup (an a11y lint rule set such as eslint-plugin-jsx-a11y / vuejs-accessibility where JavaScript is linted) and an automated accessibility assertion in tests or CI (axe/pa11y/Lighthouse or equivalent), graded on the Documented→Verified→Prevented rungs. Deterministic, presence/rung detection.

  • No accessibility enforcement found — no automated accessibility check runs over the HTML your app renders. Assert the accessibility invariants over that HTML in the test suite you already have (parse the output and assert, or drive a browser), and gate that test in CI so a regression blocks the merge.

What to do

  • Enforce accessibility in the test suite you already have: assert the accessibility invariants over the HTML your app renders — parse the rendered output in an existing test, or drive a real browser from one — and gate that test in CI so a regression blocks the merge.
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.
M2 · Architecture documentation0.0 / 10Critical✓ Tool-verified

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

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

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

What to do

  • Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
  • Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.
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 tooling1.0 / 10Critical✓ Tool-verified

Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).

Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.

  • No static application security testing detected. For this repository's stack, add `semgrep --config=auto` plus gitleaks for committed secrets (F# is not a CodeQL language and has no language-specific SAST engine) as a CI step.

What to do

  • Add a SAST step to CI running what this repository's stack ships: `semgrep --config=auto` plus gitleaks for committed secrets (F# is not a CodeQL language and has no language-specific SAST engine) — so a security regression fails the build instead of landing.
  • Enable Dependabot/Renovate or a dependency-review gate.
  • Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
P6 · Release Hygiene10.0 / 10Exemplary✓ 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.

WCAG coverage — what static analysis assessed

Statically assessed 13 of 55 WCAG 2.2 Level A/AA success criteria (24%; ≈26% of the 50 WCAG 2.1 AA criteria for EN 301 549). The other 42 require runtime or manual evaluation. Partial signal only (a clean result is necessary, not sufficient; static analysis fully verifies none). This is accessibility readiness, not a conformance claim — a WCAG conformance claim requires manual evaluation (WCAG-EM 1.0).

DimensionWCAG 2.2 A/AA criteriaCoverage
AC1 · Text alternatives1.1.1, 1.2.2, 1.2.5Partial signal
AC2 · Forms & labels1.3.1, 3.3.2, 4.1.2Partial signal
AC3 · Page structure1.4.4, 2.2.1, 2.4.1, 2.4.2, 3.1.1, 4.1.2Partial signal
AC6 · Visual & motion safety1.4.3, 2.4.7Partial — literal CSS only
AC7 · A11y enforcementenforcement — no page criterionEnforcement posture (process)

Not statically assessed — these 42 Level A/AA criteria need runtime or manual evaluation (WCAG-EM): 1.2.1, 1.2.3, 1.2.4, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.4.1, 1.4.2, 1.4.5, 1.4.10, 1.4.11, 1.4.12, 1.4.13, 2.1.1, 2.1.2, 2.1.4, 2.2.2, 2.3.1, 2.4.3, 2.4.4, 2.4.5, 2.4.6, 2.4.11, 2.5.1, 2.5.2, 2.5.3, 2.5.4, 2.5.7, 2.5.8, 3.1.2, 3.2.1, 3.2.2, 3.2.3, 3.2.4, 3.2.6, 3.3.1, 3.3.3, 3.3.4, 3.3.7, 3.3.8, 4.1.3.

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 Health75%StrongSolid.
Architecture100%ExemplaryStrongest area.
Maturity35%Weak — gated by D34, M2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness67%Adequate — gated by P3Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security100%ExemplarySolid.
Accessibility68%StrongSolid.
Not included — 73 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.

  • AC4 Keyboard semantics — No interactive element found in the parsed markup — AC4 not applicable here.
  • AC5 ARIA correctness — No ARIA usage found in the parsed markup — AC5 not applicable here.
  • AX1 Captive dependencies — no DI registrations detected
  • AX10 Code composition — not assessed — code composition is computed by ROLE over a document set that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX2 Stateful singletons — no singleton implementations detected
  • AX3 Project dependency cycles — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX4 Dependency direction — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX6 Interface segregation — not assessed — interface segregation is computed over a type surface that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX7 Slice cohesion — not applicable — not a vertical-slice architecture
  • AX8 Test isolation — not assessed — test isolation is computed from a project graph (which projects are test projects, and what they reference) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
  • C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C3 Audit Trail — Not assessed: these audit controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks audit controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C4 Data Retention — Not assessed: these retention controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks retention controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C5 Data-Subject Rights — Not assessed: these data-subject rights controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks data-subject rights controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • D1 Cyclomatic Complexity — Most of this repository's production source (.fs) 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 — ~1587 lines of test source are present (.fs) 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 — no packages were read
  • D14 License Compliance — Not scored — this repository's projects are MSBuild/NuGet projects, whose package licenses are exactly what this dimension reads, but no license could be resolved for them (the .NET license collector did not run, or restore failed). A gap in the analysis run, NOT a finding that the repository's licenses are compliant.
  • D15 Churn × Complexity Hotspots — complexity unreadable for .fs — churn × complexity hotspots could not be measured
  • D16 Bus Factor — dormant codebase — no living knowledge left to concentrate
  • D17 Explicit Debt — the C# workspace loaded 0 projects, so explicit-debt density could not be measured
  • D18 Solution Shape — D18 scores the shape of a C#/VB .NET solution; this repository's .NET projects are all F# (.fsproj), which the C#/VB workspace does not load, so the dimension does not apply.
  • D2 Cognitive Complexity — Most of this repository's production source (.fs) 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 (.fs) 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 — the solution did not restore on the analyzer's .NET SDK (an SDK/target-framework/restore mismatch, common for an older codebase), so there was no restored dependency graph to scan for NuGet CVEs — excluded rather than scored; re-run on an SDK that can restore this solution
  • 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.
  • D36 Supply-chain Provenance & Signing — The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release).
  • 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 — No supported non-.NET dependency lockfile found outside build output (npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven pom.xml, Gradle lockfiles, Python requirements.txt/poetry.lock/Pipfile.lock/pdm.lock, PHP composer.lock, Ruby Gemfile.lock, Elixir mix.lock, Dart pubspec.lock, Swift Package.resolved); nothing for OSV to scan. A NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain.
  • D39 IL Efficiency — The target did not build, so no IL was available to measure.
  • 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 .fs, 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 measured — test suite did not build
  • D9 Test Distribution — Test source is present (.fs) but the test-pyramid classifier reads C# only, so its unit/integration/BDD/E2E split couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
  • DM1 Domain Modelling — not scored — this repository shows only 1 of the 3 signals this check looks for (23 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.
  • P4 Deployment & Rollback — not evidenced — no deploy/rollback/approval signal in the repo; absence of evidence is not evidence of a manual release
  • P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
  • 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 (Cobertura — `dotnet test --collect:"XPlat Code Coverage"` with a `coverlet.collector` PackageReference) 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 — 6 finding(s)
D34 · Knowledge Freshness · Orphaned knowledge · ×6
  • Orphaned knowledge src/Fleece/Fleece.fs — 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 docsrc/tool/doclib.fs — 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 src/Fleece.SystemTextJson/Fleece.SystemTextJson.fs — 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 src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs — 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 src/Fleece.FSharpData/Fleece.FSharpData.fs — 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 src/Fleece.SystemJson/Fleece.SystemJson.fs — 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 — 24 finding(s)
D3 · God Classes · TooManyMethods · ×4
  • TooManyMethods: Encoding src/Fleece.SystemTextJson/Fleece.SystemTextJson.fs:38 — TooManyMethods — 113 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
  • TooManyMethods: Codecs src/Fleece/Fleece.fs:400 — TooManyMethods — 59 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
  • TooManyMethods: Operators src/Fleece/Compatibility.fs:70 — TooManyMethods — 39 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
  • TooManyMethods: Operators src/Fleece/Fleece.fs:900 — TooManyMethods — 37 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
D4 · Code Duplication · Duplicated block (6 lines × 3) · ×3
  • Duplicated block (6 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs:130 — src/Fleece.FSharpData/Fleece.FSharpData.fs:130-135 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:146-151 | src/Fleece.SystemJson/Fleece.SystemJson.fs:131-136 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 3 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 3 times.
  • Duplicated block (6 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs:143 — src/Fleece.FSharpData/Fleece.FSharpData.fs:143-148 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:159-164 | src/Fleece.SystemJson/Fleece.SystemJson.fs:144-149 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 3 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 3 times.
  • Duplicated block (6 lines × 3) src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:210 — src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:210-215 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:221-226 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:232-237 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited.
D3 · God Classes · FileTooLong · ×2
  • FileTooLong: Fleece/Fleece.fs src/Fleece/Fleece.fs:0 — FileTooLong — 844 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: tool/doclib.fs docsrc/tool/doclib.fs:0 — FileTooLong — 815 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.
D4 · Code Duplication · Duplicated block (11 lines × 3) · ×2
  • Duplicated block (11 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs:97 — src/Fleece.FSharpData/Fleece.FSharpData.fs:97-107 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:113-123 | src/Fleece.SystemJson/Fleece.SystemJson.fs:98-108 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 3 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 3 times.
  • Duplicated block (11 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs:289 — src/Fleece.FSharpData/Fleece.FSharpData.fs:289-299 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:307-317 | src/Fleece.SystemJson/Fleece.SystemJson.fs:290-300 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 3 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 3 times.
D4 · Code Duplication · Duplicated block (6 lines × 2) · ×2
  • Duplicated block (6 lines × 2) src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:196 — src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:196-201 | src/Fleece.SystemTextJson/Fleece.SystemTextJson.fs:256-261 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
  • Duplicated block (6 lines × 2) src/Fleece/Fleece.fs:954 — src/Fleece/Fleece.fs:954-959 | src/Fleece/Fleece.fs:964-969 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
D16 · Bus Factor · dormant codebase · ×1
  • dormant codebase — no living knowledge left to concentrate — All 8 significant source file(s) were last meaningfully changed so long ago that no living knowledge remains — nothing since has been substantial enough to re-establish ownership (a broad, mechanical sweep that touches many files shallowly does not count, and neither does no activity at all). There is no concentration to measure, so the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).
D4 · Code Duplication · Duplicated block (12 lines × 3) · ×1
  • Duplicated block (12 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs:228 — src/Fleece.FSharpData/Fleece.FSharpData.fs:228-239 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:246-257 | src/Fleece.SystemJson/Fleece.SystemJson.fs:229-240 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 3 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 3 times.
D4 · Code Duplication · Duplicated block (10 lines × 2) · ×1
  • Duplicated block (10 lines × 2) src/Fleece.FSharpData/Fleece.FSharpData.fs:71 — src/Fleece.FSharpData/Fleece.FSharpData.fs:71-80 | src/Fleece.SystemJson/Fleece.SystemJson.fs:66-77 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
D4 · Code Duplication · Duplicated block (9 lines × 4) · ×1
  • Duplicated block (9 lines × 4) src/Fleece.FSharpData/Fleece.FSharpData.fs:328 — src/Fleece.FSharpData/Fleece.FSharpData.fs:328-336 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:346-354 | src/Fleece.SystemJson/Fleece.SystemJson.fs:329-337 | src/Fleece.SystemTextJson/Fleece.SystemTextJson.fs:400-408 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 4 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 4 times.
D4 · Code Duplication · Duplicated block (9 lines × 3) · ×1
  • Duplicated block (9 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs:82 — src/Fleece.FSharpData/Fleece.FSharpData.fs:82-90 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:96-104 | src/Fleece.SystemJson/Fleece.SystemJson.fs:81-89 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 3 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 3 times.
D4 · Code Duplication · Duplicated block (8 lines × 3) · ×1
  • Duplicated block (8 lines × 3) src/Fleece.FSharpData/Fleece.FSharpData.fs:365 — src/Fleece.FSharpData/Fleece.FSharpData.fs:365-372 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:383-390 | src/Fleece.SystemJson/Fleece.SystemJson.fs:366-373 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 3 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 3 times.
D4 · Code Duplication · Duplicated block (7 lines × 2) · ×1
  • Duplicated block (7 lines × 2) src/Fleece/Fleece.fs:196 — src/Fleece/Fleece.fs:196-202 | src/Fleece/Compatibility.fs:114-120 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
D4 · Code Duplication · Duplicated block (6 lines × 4) · ×1
  • Duplicated block (6 lines × 4) src/Fleece/Fleece.fs:470 — src/Fleece/Fleece.fs:470-475 | src/Fleece/Fleece.fs:481-486 | src/Fleece/Fleece.fs:493-498 | src/Fleece/Fleece.fs:506-511 — all 4 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/Fleece/Fleece.fs:481` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
D4 · Code Duplication · Duplicated block (5 lines × 4) · ×1
  • Duplicated block (5 lines × 4) src/Fleece.FSharpData/Fleece.FSharpData.fs:113 — src/Fleece.FSharpData/Fleece.FSharpData.fs:113-117 | src/Fleece.NewtonsoftJson/Fleece.NewtonsoftJson.fs:129-133 | src/Fleece.SystemJson/Fleece.SystemJson.fs:114-118 | src/Fleece.SystemTextJson/Fleece.SystemTextJson.fs:189-193 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 4 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 4 times. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
D4 · Code Duplication · Duplicated block (5 lines × 2) · ×1
  • Duplicated block (5 lines × 2) src/Fleece/Fleece.fs:925 — src/Fleece/Fleece.fs:925-929 | src/Fleece/Fleece.fs:933-937 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
D8 · Code Coverage · Coverage not measured · ×1
  • Coverage not measured — test suite did not build — Coverage NOT MEASURED: this repository did not build in our analyzer environment (a C#/MSBuild compiler error), so no coverage could be collected. It is excluded from the score rather than counted as a near-zero defect. We did not read WHERE the failing diagnostic is, so this does not claim the fault is in your test code — a repository written for an older SDK band can compile for you and not for us. Run `dotnet build` on this commit; if it succeeds, the gap is ours. Committing the Cobertura/OpenCover/lcov report your CI already produces also lets us measure real coverage without building anything.
Recommendation — 5 finding(s)
D11 · Test Reliability · Test reliability not included · ×1
  • Test reliability not included — Test source is present (.fs) 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 .fs · ×1
  • complexity unreadable for .fs — churn × complexity hotspots could not be measured — A hotspot is churn × complexity. Churn was measured (0 line(s) across the 90-day window), but no complexity could be computed for .fs, 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 README mentions a companion FSharpPlus package but does not link to it or explain its role in the design (e.g. To/OfJson typeclasses). · ×1
  • The README mentions a companion FSharpPlus package but does not link to it or explain its role in the design (e.g. To/OfJson typeclasses). README.md — Add a brief sentence noting that the project is inspired by FSharpPlus and where one can find the full typeclass documentation.
D19 · Documentation Quality · The example uses System.Text.Json but there is no mention of how to test against it, such as an NUnit/VS unit-test path. · ×1
  • The example uses System.Text.Json but there is no mention of how to test against it, such as an NUnit/VS unit-test path. README.md — Add a sentence pointing readers to testing guidance (e.g. a one-line test that compiles and runs) for the System.Text.Json target.
D34 · Knowledge Freshness · Further orphaned files (smaller) · ×1
  • Further orphaned files (smaller) — 2 smaller file(s) also have no living knowledge — folded into the freshness score and metrics rather than listed individually (8 orphaned of 8 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).
Info — 2 finding(s)
D12 · Dependency Hygiene · Dependency hygiene not measured · ×1
  • Dependency hygiene not measured — no packages were read — This repository's projects (.fs) are MSBuild/NuGet projects and their `<PackageReference>` dependencies are exactly what this dimension assesses — but `dotnet list package` returned no packages for them, so there was nothing to assess. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED. This is a gap in the analysis run (restore or project-load failed for these projects), not a verdict about this repository.
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)gitleaksgitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .0artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)semgrepsemgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .0
D30 · Dependency Vulnerabilitiesdotnetdotnet: not applicable — the solution did not restore on the analyzer's .NET SDK (an SDK/target-framework/restore mismatch, common for an older codebase), so there was no restored dependency graph to scan for NuGet CVEs — excluded rather than scored; re-run on an SDK that can restore this solution0
D31 · IaC & Container Securitytrivytrivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.0
D32 · Data Compliance (PII/GDPR)semgrepsemgrep: not applicable — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.0
D33 · JS/npm Dependency Vulnerabilitiestrivytrivy: not applicable — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.0
D36 · Supply-chain Provenance & Signingprovenanceprovenance: not applicable — The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release).0
D37 · Vulnerability-disclosure Policydisclosuredisclosure: 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-scannerosv-scanner: not applicable — No supported non-.NET dependency lockfile found outside build output (npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven pom.xml, Gradle lockfiles, Python requirements.txt/poetry.lock/Pipfile.lock/pdm.lock, PHP composer.lock, Ruby Gemfile.lock, Elixir mix.lock, Dart pubspec.lock, Swift Package.resolved); nothing for OSV to scan. A NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain.0
D40 · Network Egress Confinementruntime-hardeningruntime-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-hardeningruntime-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-hardeningruntime-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 019fd556-f633-7c16-a3b8-f72ab87ad3aa · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

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