Argu — 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.

fsprojects/Argu is sound in substance but carries real gaps (61%). It is not in crisis, but the issues below raise the cost of changing it — friction its consumers ultimately inherit.

It is strongest in Architecture (100%) — the structure is clean and changes stay contained. Code Health (82%) is solid too.

The area that most needs attention is Maturity (51%) — onboarding is slow and knowledge is concentrated in too few people (a bus-factor risk). Security (64%) is the next concern — exposure to security and compliance incidents is elevated.

Leadership focus, highest impact first: Record significant decisions one document per decision (Architecture documentation); Expand the README with getting-started (Documentation (README)); 1 Off-boarding risk finding(s) in Bus Factor (Bus Factor).

For scale: Small (~3,381 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.

Code Health 82% Strong Architecture 100% ★ Exemplary Maturity 51% Adequate · gated by M2 Readiness 65% Adequate Security 64% Adequate · gated by D29, D36

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

Maturity 51% · 47% weightSecurity 64% · 26% weightReadiness 65% · 14% weightCode Health 82% · 8% weightArchitecture 100% · 4% weight

Raise Maturity 51 → 70 (the Healthy floor) ⇒ headline 61 → ~68.

Code composition — where the lines go

Tests 100%

New since the last scan (1+)

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

D31 · Medium IaC: CKV_DOCKER_3 Dockerfile

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 — €1,700–€8,700

Cost to rebuild	€1,700–€8,700 (0.1 person-years (29–92 h), ~1 engineer)
Domain complexity	Standard — harder problems cost more per line
Quality factor	0.8× (at 61% quality) — the last 20% of quality is most of the work
Size & shape	Small · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)

This codebase represents roughly ~0.1 person-years of build effort (about ~€5,200 to rebuild). Its weakest lens is Maturity at 51% — 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.

Resolve the 1 Off-boarding risk finding(s) in Bus Factor.

+7.1 pts · Low effort · Bus Factor

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).

+10.1 pts · Medium effort · Architecture documentation

Expand the README with getting-started, architecture overview and a project map.

+9.9 pts · Medium effort · Documentation (README)

Diagnosis — what's actually going on

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

This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Maturity at 51%. 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 (3,381 LoC) · weakest lens: Maturity 51%

→ 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: 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). The rest can wait behind it.

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

→ 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).

Architecture — module dependency matrix

10 modules, 9 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 · 82% · Strong

The Good

D1 · .NET / C# Cyclomatic Complexity 7.6 D3 · .NET / C# God Classes 9.1 D4 · .NET / C# Code Duplication 9.8

The Bad

D2 · .NET / C# Cognitive Complexity 6.3

At a glance — Architecture · 100% · Exemplary

The Good

D35 · .NET / C# Change Coupling 10.0

At a glance — Maturity · 51% · Adequate · gated by M2

The Good

D15 · .NET / C# Churn × Complexity Hotspots 9.0 D19 · .NET / C# Documentation Quality 8.0 D21 · .NET / C# Naming Consistency 10.0 D34 · .NET / C# Knowledge Freshness 10.0 M3 · Repo Folder & project structure 10.0 M4 · Repo Documentation accuracy 10.0

The Bad

M1 · Repo Documentation (README) 5.3

The Ugly

D16 · .NET / C# Bus Factor 4.2 M2 · Repo Architecture documentation 0.0

At a glance — Readiness · 65% · Adequate

The Good

D12 · .NET / C# Dependency Hygiene 9.8 D13 · .NET / C# Secret Scanning 10.0 P1 · Repo CI/CD gates 10.0 P4 · Repo Deployment & Rollback 7.0

The Bad

P6 · Repo Release Hygiene 5.0

The Ugly

P3 · Repo Security & performance tooling 4.0

At a glance — Security · 64% · Adequate · gated by D29, D36

The Good

D28 · .NET / C# Secrets (history) 10.0 D30 · .NET / C# Dependency Vulnerabilities 10.0 D31 · .NET / C# IaC & Container Security 9.6

The Ugly

D29 · .NET / C# Static Analysis (SAST) 2.5 D36 · .NET / C# Supply-chain Provenance & Signing 0.0

Security & Compliance — OWASP Top-10 mapping

Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).

OWASP category	Findings	Severity
A03:2021 — Injection	8	High / Critical
A05:2021 — Security Misconfiguration	2	High / Critical

Roadmap

First, establish architecture documentation by recording significant decisions in a dedicated directory to ensure long-term maintainability. Next, expand the README with a clear getting-started guide, architecture overview, and project map to improve discoverability. Then, address the bus factor risk by resolving the identified off-boarding vulnerability. Additionally, continue strengthening documentation quality by refining the existing resources. Finally, implement release hygiene by stamping a version in the build manifest or tagging releases with semver to ensure traceability.

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

Do this	Helps	Effort	Dimension
Resolve the 1 Off-boarding risk finding(s) in Bus Factor.	+7.1 pts	Low	Bus Factor
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).	+10.1 pts	Medium	Architecture documentation
Expand the README with getting-started, architecture overview and a project map.	+9.9 pts	Medium	Documentation (README)
Improve Documentation Quality — currently 8.0/10.	+4.7 pts	Medium	Documentation Quality
Resolve the 8 High finding(s) in Static Analysis (SAST) — start with release.yml (4), build.yml (3), dependabot.yml.	+2.2 pts	Low	Static Analysis (SAST)
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.	+3.9 pts	Medium	Release Hygiene
Resolve the 5 Hotspot finding(s) in Churn × Complexity Hotspots — start with PreCompute.fs, UnParsers.fs, Cli.fs.	+1.6 pts	High	Churn × Complexity Hotspots
Resolve the 1 High IaC finding(s) in IaC & Container Security — start with Dockerfile.	+0.7 pts	Low	IaC & Container Security

File quality

Per-file score 0–10 — a quality signature. Of 10 files carrying findings, judged against the Production bar: 0% slop · 90% mixed · 10% near-clean.

File	Score	Band	Worst signal
.github/workflows/release.yml	4.8	Mixed	Static Analysis (SAST): High: github-actions-mutable-action-tag
.github/workflows/build.yml	5.1	Mixed	Static Analysis (SAST): High: github-actions-mutable-action-tag
Dockerfile	5.1	Mixed	IaC & Container Security: High IaC: DS-0002
src/Argu/UnParsers.fs	7.0	Mixed	Cyclomatic Complexity: UnParsers.mkCommandLineSyntax (cyclomatic 35)
src/Argu/PreCompute.fs	7.1	Mixed	Cyclomatic Complexity: PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70)
src/Argu/Parsers/Cli.fs	7.1	Mixed	Cyclomatic Complexity: CliParser.handleMainCommandOrUnrecognized (cyclomatic 47)
.github/dependabot.yml	7.2	Mixed	Static Analysis (SAST): High: dependabot-missing-cooldown
src/Argu/Parsers/KeyValue.fs	7.8	Mixed	Cyclomatic Complexity: KeyValueParser.parseKeyValuePartial (cyclomatic 19)
src/Argu/Utils.fs	7.8	Mixed	Cognitive Complexity: Utils.escapeCliString (cognitive 27)
src/Argu/Parsers/Common.fs	8.5	Near-clean	Cyclomatic Complexity: CommonParsers.postProcessResults (cyclomatic 19)

Methodology & how to trust this report

Watchdog is a deep, periodic assessment — run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 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 0.6 — 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

D1D2D3D4D12D13D15D16D19D21D28D29D30D31D34D35D36M1M2M3M4P1P3P4P6

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, 41 of 55 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 · checkov	Secrets in history, SAST, CVEs, IaC & container, PII / GDPR	1.86.0 · 0.69.3 · 3.2.533	✓ 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 019fd531-1cd5-7a56-a260-21363b8f028e.

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.

D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
D4 Code Duplication: Duplication is token-similarity (jscpd) — it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
D12 Dependency Hygiene: Dependency health reads manifests and lockfiles — a vulnerability in a vendored/copied dependency, or risk from how a dependency is actually used, is outside this view.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
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").
D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and the advisory database — a vulnerability with no published advisory, or in code not declared as a dependency, is not seen.
D31 IaC & Container Security: IaC scanning checks Dockerfiles/Terraform/Kubernetes against best-practice rules — it cannot see the live cloud account, runtime configuration, or drift between the committed config and what is actually deployed.
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
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

D1 · Cyclomatic Complexity7.6 / 10Strong✓ Tool-verified

What it measures: How tangled the control flow is — methods with many branches are hard to test and change.

Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.

Maturity: Documented → Verified → Prevented · effective 7.6 / 10 · rule-coverage 100% · ceiling Prevented

10 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was PreCompute.preComputeUnionCaseArgInfo at 70. A further 3 method(s) were over the threshold but excluded as flat dispatchers (a long switch/match over independent cases: many branches, almost no nesting), the largest being LsArguments.Argu.IArgParserTemplate.get_Usage at 44 — they are counted neither in the figure above nor in this dimension's score.

PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70)src/Argu/PreCompute.fs:275

CliParser.handleMainCommandOrUnrecognized (cyclomatic 47)src/Argu/Parsers/Cli.fs:204

UnParsers.mkCommandLineSyntax (cyclomatic 35)src/Argu/UnParsers.fs:19

CliParser.handleCliParam (cyclomatic 30)src/Argu/Parsers/Cli.fs:327

UnParsers.mkArgUsage (cyclomatic 23)src/Argu/UnParsers.fs:134

+ 5 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Resolve the 1 PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70) finding(s) in Cyclomatic Complexity — start with PreCompute.fs. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 CliParser.handleMainCommandOrUnrecognized (cyclomatic 47) finding(s) in Cyclomatic Complexity — start with Cli.fs. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 UnParsers.mkCommandLineSyntax (cyclomatic 35) finding(s) in Cyclomatic Complexity — start with UnParsers.fs. — One of this dimension's main actionable groups (1 warning-level).
Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

Do you agree with this assessment?

D2 · Cognitive Complexity6.3 / 10Adequate✓ Tool-verified

What it measures: How hard the code is for a person to follow, beyond raw branching.

Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.

Maturity: Documented → Verified → Prevented · effective 6.3 / 10 · rule-coverage 100% · ceiling Prevented

13 method(s) exceeded the cognitive complexity threshold of 15; the worst was CliParser.handleMainCommandOrUnrecognized at 128.

CliParser.handleMainCommandOrUnrecognized (cognitive 128)src/Argu/Parsers/Cli.fs:204

PreCompute.preComputeUnionCaseArgInfo (cognitive 70)src/Argu/PreCompute.fs:275

UnParsers.mkCommandLineSyntax (cognitive 50)src/Argu/UnParsers.fs:19

KeyValueParser.parseKeyValuePartial (cognitive 49)src/Argu/Parsers/KeyValue.fs:31

CliParser.handleCliParam (cognitive 44)src/Argu/Parsers/Cli.fs:327

+ 8 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Resolve the 1 CliParser.handleMainCommandOrUnrecognized (cognitive 128) finding(s) in Cognitive Complexity — start with Cli.fs. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 PreCompute.preComputeUnionCaseArgInfo (cognitive 70) finding(s) in Cognitive Complexity — start with PreCompute.fs. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 UnParsers.mkCommandLineSyntax (cognitive 50) finding(s) in Cognitive Complexity — start with UnParsers.fs. — One of this dimension's main actionable groups (1 warning-level).
Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

Do you agree with this assessment?

D3 · God Classes9.1 / 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 9.1 / 10 · rule-coverage 100% · ceiling Prevented

1 god class(es) detected.

FileTooLong: Argu/PreCompute.fssrc/Argu/PreCompute.fs:0

✓ On the Gold path — maintain.

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

Do you agree with this assessment?

D4 · Code Duplication9.8 / 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 9.8 / 10 · rule-coverage 100% · ceiling Verified

2 duplicated block group(s) detected.

Duplicated block (10 lines × 2)src/Argu/UnParsers.fs:74

Duplicated block (6 lines × 2)src/Argu/PreCompute.fs:121

✓ On the Gold path — maintain.

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

Do you agree with this assessment?

D12 · Dependency Hygiene9.8 / 10Exemplary✓ Tool-verified

What it measures: Whether dependencies are current, secure, and not bloated.

Method: Manifest scan via dotnet list package across all projects; worst-signal-per-package deduction (saturating for vulnerabilities, capped-linear for deprecation/outdated) per KLoC. Exhaustive, deterministic.

Maturity: Documented → Verified → Prevented · effective 9.8 / 10 · rule-coverage 100% · ceiling Verified

5 outdated, 0 vulnerable, 0 deprecated packages.

Outdated: BenchmarkDotNet · ×5

✓ On the Gold path — maintain.

Detailed fixes: d12_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

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.

Do you agree with this assessment?

D15 · Churn × Complexity Hotspots9.0 / 10Strong✓ Tool-verified

What it measures: Files that change often and are also complex — the riskiest hotspots.

Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.

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

Top hotspots: src/Argu/PreCompute.fs (7×70=490); src/Argu/UnParsers.fs (6×35=210); src/Argu/Parsers/Cli.fs (4×47=188)

Hotspot: src/Argu/PreCompute.fs · ×5src/Argu/PreCompute.fs

What to do

Resolve the 5 Hotspot finding(s) in Churn × Complexity Hotspots — start with PreCompute.fs, UnParsers.fs, Cli.fs. — One of this dimension's main actionable groups (5 warning-level).

Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D16 · Bus Factor4.2 / 10Weak✓ 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 4.2 / 10 · rule-coverage 100% · ceiling Documented

7 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is src/Argu/Parsers/Cli.fs.

Off-boarding risk: anonymized user #1

What to do

Resolve the 1 Off-boarding risk finding(s) in Bus Factor. — One of this dimension's main actionable groups (1 recommendation-level).

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

Do you agree with this assessment?

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

The Argu project's documentation is strong: a single README with an explicit link to the full online docs site (http://fsprojects.github.io/Argu/) plus two companion READMEs that describe the source-generator package and its roadmap. The main README gives a one-line build/test badge, NuGet link, and links to both tutorial and API reference; the companion README explains why a separate generator is needed versus reflection, lists component status, and outlines future work.

What to do

Improve Documentation Quality — currently 8.0/10. — The Argu project's documentation is strong: a single README with an explicit link to the full online docs site (http://fsprojects.github.io/Argu/) plus two companion READMEs that describe the source-generator package and its roadmap. The main README gives a one-line build/test badge, NuGet link, and links to both tutorial and API reference; the companion README explains why a separate generator is needed versus reflection, lists component status, and outlines future work.

Detailed fixes: d19_recommendation.md.

Do you agree with this assessment?

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.

Do you agree with this assessment?

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

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

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

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

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

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

Do you agree with this assessment?

D29 · Static Analysis (SAST)2.5 / 10Weak✓ 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 2.5 / 10 · rule-coverage 100% · ceiling Documented

8 finding(s): 0 critical, 8 high, 0 medium, 0 low.

High: dependabot-missing-cooldown · ×8.github/dependabot.yml:4detected by semgrep finding

What to do

Resolve the 8 High finding(s) in Static Analysis (SAST) — start with release.yml (4), build.yml (3), dependabot.yml. — One of this dimension's main actionable groups (8 issue-level).

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

Do you agree with this assessment?

D30 · Dependency Vulnerabilities10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether any dependencies have known published vulnerabilities (CVEs), direct or transitive.

Method: NuGet CVE scan via dotnet list package --vulnerable including transitive; severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer. Exhaustive, deterministic; degrades when absent.

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

No known-vulnerable NuGet packages (direct or transitive).

✓ On the Gold path — maintain.

Detailed fixes: d30_recommendation.md.

Do you agree with this assessment?

D31 · IaC & Container Security9.6 / 10Exemplary✓ Tool-verified

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

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

Maturity: Documented → Verified → Prevented · effective 9.6 / 10 · rule-coverage 100% · ceiling Documented

2 finding(s): 0 critical, 1 high, 1 medium, 0 low.

High IaC: DS-0002Dockerfiledetected by trivy finding

Medium IaC: CKV_DOCKER_3Dockerfile:1detected by trivy finding

✓ On the Gold path — maintain.

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

Do you agree with this assessment?

D34 · Knowledge Freshness10.0 / 10Exemplary✓ 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 10.0 / 10 · rule-coverage 100% · ceiling Documented

Every significant source file has living knowledge — recently and meaningfully worked.

✓ On the Gold path — maintain.

Detailed fixes: d34_recommendation.md.

Do you agree with this assessment?

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

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

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

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

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

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

Do you agree with this assessment?

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

What it measures: Whether the build pipeline provides supply-chain integrity — generated provenance/attestation, signed artifacts (cosign/sigstore), an SBOM, and pinned build actions. Presence of the configuration, not a runtime guarantee.

Method: Supply-chain provenance/signing read deterministically from CI/build config (.github/workflows, .gitlab-ci.yml, azure-pipelines, Jenkinsfile, .circleci) + the release surface: four signals — generated provenance/attestation (SLSA/in-toto/actions-attest), artifact signing (cosign/sigstore/gitsign), an SBOM (syft/sbom-action/*.spdx.json/*.cdx.json), and SHA-pinned build actions — scored 10·present/denom. NotApplicable without a build pipeline. Detects configuration presence, not runtime enforcement.

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

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

Unpinned build actions

PR-triggered workflow without a permissions block

No build provenance

No artifact signing

No SBOM

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 PR-triggered workflow without a permissions block 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).

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

Do you agree with this assessment?

Frontend & cross-cutting dimensions

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

M1 · Documentation (README)5.3 / 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.

The root README is 62 words — likely missing build/run/architecture context.

What to do

Expand the README with getting-started, architecture overview and a project map.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.

Do you agree with this assessment?

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.

Do you agree with this assessment?

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.

Do you agree with this assessment?

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.

Do you agree with this assessment?

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.

Do you agree with this assessment?

P3 · Security & performance tooling4.0 / 10Weak✓ 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.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.

Do you agree with this assessment?

P4 · Deployment & Rollback7.0 / 10Strong✓ 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.

Do you agree with this assessment?

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.

Do you agree with this assessment?

Reference — by lens

The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.

Lens	Score	Rating	Impact
Code Health	82%	Strong	Solid.
Architecture	100%	Exemplary	Strongest area.
Maturity	51%	Adequate — gated by M2	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness	65%	Adequate	Acceptable, with room to improve.
Security	64%	Adequate — gated by D29, D36	Capped at Fair by a Critical contributor — resolve it before relying on this lens.

Not included — 70 check(s) not relevant to this codebase

These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.

AC1 Text alternatives — No web markup found — accessibility is not applicable to this repository.
AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
AX1 Captive dependencies — no DI registrations detected
AX10 Code composition — not assessed — code composition is computed by ROLE over a document set that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX2 Stateful singletons — no singleton implementations detected
AX3 Project dependency cycles — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX4 Dependency direction — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX6 Interface segregation — not assessed — interface segregation is computed over a type surface that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX8 Test isolation — not assessed — test isolation is computed from a project graph (which projects are test projects, and what they reference) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C3 Audit Trail — Not assessed: these audit controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks audit controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C4 Data Retention — Not assessed: these retention controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks retention controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C5 Data-Subject Rights — Not assessed: these data-subject rights controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks data-subject rights controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
D10 Test Quality — ~1384 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
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.
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.
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.
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.
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 — No first-party assembly was produced by the build.
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
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 — applicable but not scored (2 of 3 signals for this style — below the bar we score at): 33 value object(s); 2 domain event(s)
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this check looks for
GD1 Unfinished & placeholder code — no source files
IC1 Incompleteness & stubs — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
P2 Observability — Observability was not assessed: this check reads a source model that does not carry this repository's product — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of a logging idiom this check recognises is NOT evidence that this repo lacks structured logging (it may log through its own ecosystem's logger). This is a gap in the analyzer, not a finding about this repository.
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P7 Outbound HTTP resilience — not measured — the application kind could not be determined for this repo
P8 Schema migrations — not assessed — schema-migration practice is read from a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (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 — 9 finding(s)

D29 · Static Analysis (SAST) · High · ×8

High: dependabot-missing-cooldown .github/dependabot.yml:4 — This Dependabot configuration does not set a cooldown period. Newly published packages can be malicious or unstable. Add a `cooldown` block with `default-days: 7` to each `package-ecosystem` entry under `updates` to wait 7 days before proposing updates to newly published package versions. Reference: https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#cooldown. This is a semgrep security-AUDIT rule reporting a POLICY that is absent or weaker than its recommendation, not an exploitable defect. Confirm whether the current setting is a deliberate decision for this repository — and apply the change where it is not; where it is (a policy your release process already enforces elsewhere, or one this repository has consciously opted out of), record the decision and leave the configuration as it is. This configuration file has 2 such entries; one cooldown decision clears them all — reported once.
High: github-actions-mutable-action-tag .github/workflows/build.yml:17 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v6`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v6 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/build.yml:19 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-dotnet@<40-character SHA>`. This step references `actions/setup-dotnet@v5`; resolve the SHA it points at today with `gh api repos/actions/setup-dotnet/commits/v5 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/build.yml:30 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v6`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v6 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/release.yml:21 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v6`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v6 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/release.yml:27 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-dotnet@<40-character SHA>`. This step references `actions/setup-dotnet@v5`; resolve the SHA it points at today with `gh api repos/actions/setup-dotnet/commits/v5 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/release.yml:38 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/upload-pages-artifact@<40-character SHA>`. This step references `actions/upload-pages-artifact@v4`; resolve the SHA it points at today with `gh api repos/actions/upload-pages-artifact/commits/v4 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/release.yml:49 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/deploy-pages@<40-character SHA>`. This step references `actions/deploy-pages@v4`; resolve the SHA it points at today with `gh api repos/actions/deploy-pages/commits/v4 --jq .sha`.

D31 · IaC & Container Security · High IaC · ×1

High IaC: DS-0002 Dockerfile — Image user should not be 'root' A container that starts as root runs your process with root's capabilities inside the namespace, so a compromise of the process starts from there. The step: create an unprivileged account in the image (`RUN useradd -r -M app` — or whatever this base image's account tooling is, `adduser` and `useradd` are not both present everywhere`), give it ownership of the paths the process writes at runtime (`COPY --chown=` on those layers, or a `RUN chown -R`), and end the final stage with `USER app` so it is the default at start. Build stages that only compile can stay root; it is the stage that RUNS that needs the account. If the process genuinely requires root — it manages the container runtime, ptraces another process or opens raw devices — say so here rather than making a change that breaks it.

Warning — 35 finding(s)

D15 · Churn × Complexity Hotspots · Hotspot · ×5

Hotspot: src/Argu/PreCompute.fs src/Argu/PreCompute.fs — src/Argu/PreCompute.fs changed 7 times in last 90 days, max complexity 70. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, behind tests written first.
Hotspot: src/Argu/UnParsers.fs src/Argu/UnParsers.fs — src/Argu/UnParsers.fs changed 6 times in last 90 days, max complexity 35. 3 of those changes were fix/bug commits, and the other 3 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, cover the area it touches with tests, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time.
Hotspot: src/Argu/Parsers/Cli.fs src/Argu/Parsers/Cli.fs — src/Argu/Parsers/Cli.fs changed 4 times in last 90 days, max complexity 47. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, behind tests written first.
Hotspot: src/Argu/Parsers/Common.fs src/Argu/Parsers/Common.fs — src/Argu/Parsers/Common.fs changed 3 times in last 90 days, max complexity 19. 1 of those changes was a fix/bug commit, and the other 2 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, cover the area it touches with tests, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time.
Hotspot: src/Argu/Parsers/KeyValue.fs src/Argu/Parsers/KeyValue.fs — src/Argu/Parsers/KeyValue.fs changed 2 times in last 90 days, max complexity 19. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, behind tests written first.

D1 · Cyclomatic Complexity · PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70) · ×1

PreCompute.preComputeUnionCaseArgInfo (cyclomatic 70) src/Argu/PreCompute.fs:275 — PreCompute.preComputeUnionCaseArgInfo has cyclomatic complexity 70 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.

D1 · Cyclomatic Complexity · CliParser.handleMainCommandOrUnrecognized (cyclomatic 47) · ×1

CliParser.handleMainCommandOrUnrecognized (cyclomatic 47) src/Argu/Parsers/Cli.fs:204 — CliParser.handleMainCommandOrUnrecognized has cyclomatic complexity 47 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · UnParsers.mkCommandLineSyntax (cyclomatic 35) · ×1

UnParsers.mkCommandLineSyntax (cyclomatic 35) src/Argu/UnParsers.fs:19 — UnParsers.mkCommandLineSyntax has cyclomatic complexity 35 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.

D1 · Cyclomatic Complexity · CliParser.handleCliParam (cyclomatic 30) · ×1

CliParser.handleCliParam (cyclomatic 30) src/Argu/Parsers/Cli.fs:327 — CliParser.handleCliParam has cyclomatic complexity 30 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.

D1 · Cyclomatic Complexity · UnParsers.mkArgUsage (cyclomatic 23) · ×1

UnParsers.mkArgUsage (cyclomatic 23) src/Argu/UnParsers.fs:134 — UnParsers.mkArgUsage has cyclomatic complexity 23 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.

D1 · Cyclomatic Complexity · UnParsers.mkCommandLineArgs (cyclomatic 20) · ×1

UnParsers.mkCommandLineArgs (cyclomatic 20) src/Argu/UnParsers.fs:295 — UnParsers.mkCommandLineArgs has cyclomatic complexity 20 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.

D1 · Cyclomatic Complexity · PreCompute.preComputeUnionArgInfoInner (cyclomatic 20) · ×1

PreCompute.preComputeUnionArgInfoInner (cyclomatic 20) src/Argu/PreCompute.fs:545 — PreCompute.preComputeUnionArgInfoInner has cyclomatic complexity 20 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.

D1 · Cyclomatic Complexity · KeyValueParser.parseKeyValuePartial (cyclomatic 19) · ×1

KeyValueParser.parseKeyValuePartial (cyclomatic 19) src/Argu/Parsers/KeyValue.fs:31 — KeyValueParser.parseKeyValuePartial has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · CommonParsers.postProcessResults (cyclomatic 19) · ×1

CommonParsers.postProcessResults (cyclomatic 19) src/Argu/Parsers/Common.fs:55 — CommonParsers.postProcessResults has cyclomatic complexity 19 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.

D1 · Cyclomatic Complexity · UnParsers.mkUsageStringWithLabels (cyclomatic 17) · ×1

UnParsers.mkUsageStringWithLabels (cyclomatic 17) src/Argu/UnParsers.fs:230 — UnParsers.mkUsageStringWithLabels has cyclomatic complexity 17 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.

D2 · Cognitive Complexity · CliParser.handleMainCommandOrUnrecognized (cognitive 128) · ×1

CliParser.handleMainCommandOrUnrecognized (cognitive 128) src/Argu/Parsers/Cli.fs:204 — CliParser.handleMainCommandOrUnrecognized has cognitive complexity 128 (threshold 15). Drivers by points: if/else 64, match/switch 24, error handling 19, loops 14, boolean chains 7 (nesting depth added 85). The drivers above price the dispatch low by construction — a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full — so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.

D2 · Cognitive Complexity · PreCompute.preComputeUnionCaseArgInfo (cognitive 70) · ×1

PreCompute.preComputeUnionCaseArgInfo (cognitive 70) src/Argu/PreCompute.fs:275 — PreCompute.preComputeUnionCaseArgInfo has cognitive complexity 70 (threshold 15). Drivers by points: if/else 37, match/switch 21, boolean chains 7, loops 4, error handling 1 (nesting depth added 20). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · UnParsers.mkCommandLineSyntax (cognitive 50) · ×1

UnParsers.mkCommandLineSyntax (cognitive 50) src/Argu/UnParsers.fs:19 — UnParsers.mkCommandLineSyntax has cognitive complexity 50 (threshold 15). Drivers by points: if/else 21, match/switch 17, loops 10, boolean chains 2 (nesting depth added 27). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · KeyValueParser.parseKeyValuePartial (cognitive 49) · ×1

KeyValueParser.parseKeyValuePartial (cognitive 49) src/Argu/Parsers/KeyValue.fs:31 — KeyValueParser.parseKeyValuePartial has cognitive complexity 49 (threshold 15). Drivers by points: if/else 25, error handling 12, match/switch 6, loops 5, boolean chains 1 (nesting depth added 31). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · CliParser.handleCliParam (cognitive 44) · ×1

CliParser.handleCliParam (cognitive 44) src/Argu/Parsers/Cli.fs:327 — CliParser.handleCliParam has cognitive complexity 44 (threshold 15). Drivers by points: error handling 19, match/switch 13, if/else 9, loops 3 (nesting depth added 26). The drivers above price the dispatch low by construction — a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full — so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.

D2 · Cognitive Complexity · UnParsers.mkCommandLineArgs (cognitive 35) · ×1

UnParsers.mkCommandLineArgs (cognitive 35) src/Argu/UnParsers.fs:295 — UnParsers.mkCommandLineArgs has cognitive complexity 35 (threshold 15). Drivers by points: if/else 16, match/switch 12, loops 7 (nesting depth added 23). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · UnParsers.mkArgUsage (cognitive 31) · ×1

UnParsers.mkArgUsage (cognitive 31) src/Argu/UnParsers.fs:134 — UnParsers.mkArgUsage has cognitive complexity 31 (threshold 15). Drivers by points: if/else 11, loops 10, match/switch 10 (nesting depth added 18). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Utils.escapeCliString (cognitive 27) · ×1

Utils.escapeCliString (cognitive 27) src/Argu/Utils.fs:145 — Utils.escapeCliString has cognitive complexity 27 (threshold 15). Drivers by points: if/else 17, match/switch 5, loops 4, boolean chains 1 (nesting depth added 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Utils.wordwrap (cognitive 26) · ×1

Utils.wordwrap (cognitive 26) src/Argu/Utils.fs:335 — Utils.wordwrap has cognitive complexity 26 (threshold 15). Drivers by points: if/else 12, loops 11, boolean chains 3 (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · CliTokenReader.GetNextToken (cognitive 23) · ×1

CliTokenReader.GetNextToken (cognitive 23) src/Argu/Parsers/Cli.fs:26 — CliTokenReader.GetNextToken has cognitive complexity 23 (threshold 15). Drivers by points: if/else 15, match/switch 8 (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · UnParsers.mkUsageStringWithLabels (cognitive 23) · ×1

UnParsers.mkUsageStringWithLabels (cognitive 23) src/Argu/UnParsers.fs:230 — UnParsers.mkUsageStringWithLabels has cognitive complexity 23 (threshold 15). Drivers by points: if/else 9, loops 9, match/switch 4, boolean chains 1 (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · UnParsers.mkAppSettingsDocument (cognitive 18) · ×1

UnParsers.mkAppSettingsDocument (cognitive 18) src/Argu/UnParsers.fs:352 — UnParsers.mkAppSettingsDocument has cognitive complexity 18 (threshold 15). Drivers by points: match/switch 12, loops 4, if/else 2 (nesting depth added 10). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.

D2 · Cognitive Complexity · PreCompute.preComputeUnionArgInfoInner (cognitive 16) · ×1

PreCompute.preComputeUnionArgInfoInner (cognitive 16) src/Argu/PreCompute.fs:545 — PreCompute.preComputeUnionArgInfoInner has cognitive complexity 16 (threshold 15). Drivers by points: match/switch 9, if/else 3, loops 3, boolean chains 1 (nesting depth added 4). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.

D3 · God Classes · FileTooLong · ×1

FileTooLong: Argu/PreCompute.fs src/Argu/PreCompute.fs:0 — FileTooLong — 550 significant lines (blank, comment-only and punctuation-only lines excluded). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.

D31 · IaC & Container Security · Medium IaC · ×1

Medium IaC: CKV_DOCKER_3 Dockerfile:1 — Ensure that a user for the container has been created

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. 7 floating ref(s) across 2 workflow file(s). Each floating ref is itemized at file:line by the SAST (D29) lens.

D36 · Supply-chain Provenance & Signing · PR-triggered workflow without a permissions block · ×1

PR-triggered workflow without a permissions block — 1 workflow(s) triggered by pull_request declare no `permissions:` block (build.yml) and so run with the repository's default GITHUB_TOKEN scope, while 1 sibling workflow in the same repository is already scoped. Pull-request runs build the least-trusted code in the repository; give each of these workflows its own least-privilege block — `permissions: {contents: read}` at the top of the workflow, widened per job only where a job genuinely writes.

D4 · Code Duplication · Duplicated block (10 lines × 2) · ×1

Duplicated block (10 lines × 2) src/Argu/UnParsers.fs:74 — src/Argu/UnParsers.fs:74-83 | src/Argu/UnParsers.fs:156-165 — 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.

D4 · Code Duplication · Duplicated block (6 lines × 2) · ×1

Duplicated block (6 lines × 2) src/Argu/PreCompute.fs:121 — src/Argu/PreCompute.fs:121-126 | src/Argu/PreCompute.fs:160-165 — 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.

D8 · Code Coverage · Coverage not measured · ×1

Coverage not measured — The test suite couldn't be built/run in-image and no coverage report is committed, so line coverage was not measured — and it is EXCLUDED from the score rather than scored on a LoC-ratio proxy. No coverage collector was found in your CI either, so there is no existing report to hand us: add a coverage collector to your test run and commit (or publish) its Cobertura/OpenCover/lcov output anywhere in the repo, or make the suite runnable in-image, and real coverage will be measured.

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.

D16 · Bus Factor · Off-boarding risk · ×1

Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 7 significant file(s) lose their only recent owner: src/Argu/Parsers/Cli.fs, src/Argu/ParseResults.fs, src/Argu/Attributes.fs, src/Argu/Types.fs, src/Argu/ConfigReaders.fs, src/Argu/Parsers/KeyValue.fs, src/Argu/Parsers/Common.fs. Pair on, review, or document these before any departure.

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, Authenticode via signtool, or `dotnet nuget sign` for packages) so consumers can verify what you built.

D36 · Supply-chain Provenance & Signing · No SBOM · ×1

No SBOM — No SBOM generation or committed SBOM found — produce one with what your ecosystem ships (`sbom-tool generate` (install it with `dotnet tool install --global Microsoft.Sbom.DotNetTool`) or `dotnet CycloneDX` over the solution, `syft` (or `anchore/sbom-action` in CI) over the source tree or released image). Publish it as a release asset (`*.spdx.json` / `*.cdx.json`) so consumers can see what they are installing.

Info — 6 finding(s)

D12 · Dependency Hygiene · Outdated · ×5

Outdated: BenchmarkDotNet — BenchmarkDotNet 0.14.0 → 0.15.8 available (referenced by Argu.Benchmarks).
Outdated: FSharp.Core — FSharp.Core 6.0.0 → 10.1.302 available (referenced by Argu.Benchmarks).
Outdated: Microsoft.Extensions.Configuration.Abstractions — Microsoft.Extensions.Configuration.Abstractions 8.0.0 → 10.0.10 available (referenced by Argu.Extensions.Configuration).
Outdated: DotNet.ReproducibleBuilds — DotNet.ReproducibleBuilds 2.0.2 → 2.0.5 available (referenced by Argu.SourceGenerator).
Outdated: System.Configuration.ConfigurationManager — System.Configuration.ConfigurationManager 4.4.0 → 10.0.10 available (referenced by Argu).

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

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

Appendix B — Reproduction & audit trail

Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.

Dimension	Tool	Version	Command	Findings	Raw output
D28 · Secrets (history)	gitleaks	—	gitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .	0	artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)	semgrep	—	semgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .	8	artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilities	dotnet	—	dotnet list Argu.slnx package --vulnerable --include-transitive --format json	0	artifacts/raw/dotnet-vulnerable.json
D31 · IaC & Container Security	trivy	—	trivy config --format json --quiet .	2	artifacts/raw/trivy-config.json
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	—
D37 · Vulnerability-disclosure Policy	disclosure	—	disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.	0	—
D38 · OSV Dependency Vulnerabilities	osv-scanner	—	osv-scanner: 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 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 019fd531-1cd5-7a56-a260-21363b8f028e · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Fsprojects/Argu

Executive summary

Top priorities

Diagnosis — what's actually going on

Architecture — module dependency matrix

At a glance — Code Health · 82% · Strong

At a glance — Architecture · 100% · Exemplary

At a glance — Maturity · 51% · Adequate · gated by M2

At a glance — Readiness · 65% · Adequate

At a glance — Security · 64% · Adequate · gated by D29, D36

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