go-rocket-ride — 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.

rafael-piovesan/go-rocket-ride is sound in substance but carries real gaps (54%). It is not in crisis, but the issues below raise the cost of changing it — friction its consumers ultimately inherit.

It is strongest in Code Health (100%) — the code is clean and low-risk to change. Architecture (100%) is solid too.

The area that most needs attention is Domain Modelling (38%) — the domain model leaks and drifts, so business rules are harder to trust and change. Maturity (58%) is the next concern — onboarding is slow — key decisions and the architecture aren't written down, so contributors have to reverse-engineer the intent.

Leadership focus, highest impact first: Move business rules onto the aggregates/entities they govern… (Rich vs anemic model); Make entity setters private/init-only (Encapsulated state); 1 Further orphaned files (smaller) finding(s) in Knowledge… (Knowledge Freshness).

For scale: Small (~2,049 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.

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

Code Health 100% ★ Exemplary Architecture 100% ★ Exemplary Maturity 58% Adequate · gated by D34, M2 Readiness 59% Adequate Security 91% ★ Exemplary Domain Modelling 38% Weak · gated by DM4, DM5

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.

Domain Modelling 38% · 46% weightMaturity 58% · 25% weightReadiness 59% · 14% weightSecurity 91% · 8% weightCode Health 100% · 4% weightArchitecture 100% · 2% weight

Raise Domain Modelling 38 → 70 (the Healthy floor) ⇒ headline 54 → ~65.

Code composition — where the lines go

Tests 100%

Rebuild cost & value ~ Modeled — €1,500–€7,400

Cost to rebuild	€1,500–€7,400 (0.1 person-years (24–78 h), ~1 engineer)
Domain complexity	Standard — harder problems cost more per line
Quality factor	0.8× (at 54% 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 ~€4,400 to rebuild). Its weakest lens is Domain Modelling at 38% — the part of that asset most exposed by the findings below.

How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.2) — domain model × 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.

Move business rules onto the aggregates/entities they govern so invariants are enforced at the source, not in anemic services.

+14.5 pts · Medium effort · Rich vs anemic model

Make entity setters private/init-only; change state only through methods that enforce the invariants (Marten/EF can bind via constructor or private setters).

+14.5 pts · Medium effort · Encapsulated state

Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness.

+5.5 pts · Low effort · Knowledge Freshness

Diagnosis — what's actually going on

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

This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Domain Modelling at 38%. 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 (2,049 LoC) · weakest lens: Domain Modelling 38%

→ Direct remediation budget at Domain Modelling 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: Move business rules onto the aggregates/entities they govern so invariants are enforced at the source, not in anemic services. The rest can wait behind it.

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

→ Move business rules onto the aggregates/entities they govern so invariants are enforced at the source, not in anemic services.

At a glance — Code Health · 100% · Exemplary

The Good

D1 · Go Cyclomatic Complexity 10.0 D2 · Go Cognitive Complexity 10.0 D3 · Go God Classes 10.0 D4 · Go Code Duplication 10.0

At a glance — Architecture · 100% · Exemplary

The Good

D35 · Go Change Coupling 10.0

At a glance — Maturity · 58% · Adequate · gated by D34, M2

The Good

D15 · Go Churn × Complexity Hotspots 10.0 D19 · Go Documentation Quality 8.0 D21 · Go Naming Consistency 10.0 M1 · Repo Documentation (README) 8.0 M3 · Repo Folder & project structure 10.0 M4 · Repo Documentation accuracy 10.0

The Ugly

D34 · Go Knowledge Freshness 0.0 M2 · Repo Architecture documentation 2.0

At a glance — Readiness · 59% · Adequate

The Good

D13 · Go Secret Scanning 10.0 P1 · Repo CI/CD gates 10.0

The Bad

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

The Ugly

P3 · Repo Security & performance tooling 4.0

At a glance — Security · 91% · Exemplary

The Good

D28 · Go Secrets (history) 10.0 D29 · Go Static Analysis (SAST) 8.3

At a glance — Domain Modelling · 38% · Weak · gated by DM4, DM5

The Good

DM7 · Repo Repository granularity 10.0 DM8 · Repo Value-object opportunities 10.0

The Ugly

DM4 · Repo Rich vs anemic model 3.0 DM5 · Repo Encapsulated state 1.0

Security & Compliance — OWASP Top-10 mapping

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

OWASP category	Findings	Severity
A03:2021 — Injection	2	High / Critical

Roadmap

First, move business rules onto aggregates and entities to enforce invariants at the source rather than in anemic services. Next, encapsulate entity state by making setters private or init-only, ensuring all state changes occur through methods that enforce invariants. Then, resolve the remaining orphaned files to improve knowledge freshness. Finally, begin logging significant architectural decisions in an ADR log and implement readiness probes and a rolling-update strategy to ensure automatic rollback of bad releases.

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

Do this	Helps	Effort	Dimension
Move business rules onto the aggregates/entities they govern so invariants are enforced at the source, not in anemic services.	+14.5 pts	Medium	Rich vs anemic model
Make entity setters private/init-only; change state only through methods that enforce the invariants (Marten/EF can bind via constructor or private setters).	+14.5 pts	Medium	Encapsulated state
Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness.	+5.5 pts	Low	Knowledge Freshness
Start an ADR log (docs/adr/) recording significant decisions and their rationale.	+5.5 pts	Medium	Architecture documentation
Add readiness/liveness probes and a rolling-update (or blue/green) strategy so a bad release is caught and rolled back automatically.	+5.2 pts	Medium	Deployment & Rollback
Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.	+5.2 pts	Medium	Release Hygiene
Resolve the 1 The 'Architecture & code organization' section is cut off by the scanner… finding(s) in Documentation Quality — start with README.md.	+1.5 pts	Low	Documentation Quality
Resolve the 1 High finding(s) in Static Analysis (SAST) — start with release-please.yml.	+0.7 pts	Low	Static Analysis (SAST)

File quality

Per-file score 0–10 — a quality signature. Of 3 files carrying findings, judged against the Production bar: 0% slop · 33% mixed · 67% near-clean.

File	Score	Band	Worst signal
.github/workflows/release-please.yml	7.2	Mixed	Static Analysis (SAST): High: github-actions-mutable-action-tag
pkg/stripemock/stripe.go	9.3	Near-clean	Static Analysis (SAST): Low: missing-ssl-minversion
README.md	9.5	Near-clean	Documentation Quality: The 'Architecture & code organization' section is cut off by the scanner mid-sentence ('Midway through each API request...'), so its full outline (setup, download/install both project and dev dependencies, start dependencies, run db migrations, load fixtures) cannot be confirmed from the visible text.

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. 22 of 24 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 0.4 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.

Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.

What we checked — 24 dimensions across the health lenses

D1D2D3D4D13D15D19D21D28D29D34D35DM4DM5DM7DM8M1M2M3M4P1P3P4P6

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, 3 of 10 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	✓ 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 019fafda-c66c-78b4-bf7b-ac8f83b668e5.

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

Run transparency — what happened this run

What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.

D30 Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
D38 OSV Dependency Vulnerabilities — evaluation did not complete — OSV Dependency Vulnerabilities not included (check did not complete) — excluded from 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.
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.
D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement.
D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
DM4 Rich vs anemic model: Behaviour is detected as state mutation inside a method body — a method that enforces an invariant by validating-and-throwing without mutating reads as a query, and mutation delegated through an interface the scan can't resolve isn't credited; entities with zero public properties still drop out of the population. It detects that state changes, not whether the rule is correct.
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 Complexity10.0 / 10Exemplary✓ Tool-verified

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

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

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

0 method(s) exceeded the cyclomatic complexity threshold of 15.

✓ On the Gold path — maintain.

Detailed fixes: d1_recommendation.md.

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D2 · Cognitive Complexity10.0 / 10Exemplary✓ 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 10.0 / 10 · rule-coverage 100% · ceiling Prevented

0 method(s) exceeded the cognitive complexity threshold of 15.

✓ On the Gold path — maintain.

Detailed fixes: d2_recommendation.md.

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D3 · God Classes10.0 / 10Exemplary✓ Tool-verified

What it measures: Over-large classes that try to do too much ("god classes").

Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.

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

0 god class(es) detected.

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.md.

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

What it measures: Copy-pasted code that should be shared instead.

Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.

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

0 duplicated block group(s) detected.

✓ On the Gold path — maintain.

Detailed fixes: d4_recommendation.md.

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

What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.

Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.

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

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

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

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

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

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

No churn × complexity hotspots in the window.

✓ On the Gold path — maintain.

Detailed fixes: d15_recommendation.md.

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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 README is clear and well-structured for a toy project: it links to related articles explaining the motivation behind Clean Architecture and idempotency keys, describes the project's purpose with Brandur's own words about atomic phases and re-issuing failed requests, and outlines architecture (api directory) plus setup steps (download/install both project and dev dependencies, start dependencies, run db migrations, load fixtures). The referenced brandur/rocket-rides-atomic repo is also cited in the description. However there are no architecture or design documents for the codebase beyond the clipped README.md body, so any reader who wants to build/run the project would need to rely solely on the README and a local clone of the source.

The 'Architecture & code organization' section is cut off by the scanner mid-sentence ('Midway through each API request...'), so its full outline (setup, download/install both project and dev dependencies, start dependencies, run db migrations, load fixtures) cannot be confirmed from the visible text.README.md

What to do

Resolve the 1 The 'Architecture & code organization' section is cut off by the scanner… finding(s) in Documentation Quality — start with README.md. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d19_recommendation.md · top locations in Appendix A, every location in findings.md.

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D21 · Naming Consistency / 10Exemplary◐ Sampled · advisory

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

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

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

0 naming inconsistencies across 0 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

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

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

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

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

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

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

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D29 · Static Analysis (SAST)8.3 / 10Strong✓ Tool-verified

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

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

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

Maturity: Documented → Verified → Prevented · effective 8.3 / 10 · rule-coverage 100% · ceiling Documented

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

High: github-actions-mutable-action-tag.github/workflows/release-please.yml:10detected by semgrep finding

Low: missing-ssl-minversionpkg/stripemock/stripe.go:51detected by semgrep finding

What to do

Resolve the 1 High finding(s) in Static Analysis (SAST) — start with release-please.yml. — One of this dimension's main actionable groups (1 issue-level).
Resolve the 1 Low finding(s) in Static Analysis (SAST) — start with stripe.go. — One of this dimension's main actionable groups (1 recommendation-level).

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

Do you agree with this assessment?

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

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

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

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

2 of 2 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is usecase/ride.go.

Further orphaned files (smaller)

What to do

Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).

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

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?

Frontend & cross-cutting dimensions

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

DM4 · Rich vs anemic model3.0 / 10Weak✓ Tool-verified

Other · Domain Modelling — Whether aggregates/entities carry the behaviour that protects their invariants, rather than being data bags driven by external services.

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

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

`AuditRecord` is an aggregate/entity with 8 data propert(ies) but no state-changing behaviour (only data and queries) — the business logic lives in a service. — audit_record.go:10
`IdempotencyKey` is an aggregate/entity with 13 data propert(ies) but no state-changing behaviour (only data and queries) — the business logic lives in a service. — idempotency_key.go:10
`Ride` is an aggregate/entity with 9 data propert(ies) but no state-changing behaviour (only data and queries) — the business logic lives in a service. — ride.go:5

What to do

Move business rules onto the aggregates/entities they govern so invariants are enforced at the source, not in anemic services.

Do you agree with this assessment?

DM5 · Encapsulated state1.0 / 10Critical✓ Tool-verified

Other · Domain Modelling — Whether entities protect their state (private/init-only setters) instead of exposing public setters that bypass invariants. Softened when a rehydration framework (Marten/EF) is present.

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

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

`IdempotencyKey` exposes publicly writable state (ID, CreatedAt, IdempotencyKey, LastRunAt, LockedAt, RequestMethod, …). — idempotency_key.go:10

What to do

Make entity setters private/init-only; change state only through methods that enforce the invariants (Marten/EF can bind via constructor or private setters).

Do you agree with this assessment?

DM7 · Repository granularity10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether repositories are per aggregate root (not per child entity) so the root's invariants can't be bypassed.

Method: Roslyn (DDD-gated): repository abstraction detection; repositories over non-aggregate-root entities flagged. Deterministic, DDD-native.

Coverage: Population: repositories + aggregate roots by NAME convention; per-root repository rule checked within the set.

Do you agree with this assessment?

DM8 · Value-object opportunities10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether clusters of primitives that travel together (a missing value object) are extracted — a low-weight suggestion, LLM-confirmed when configured.

Method: Roslyn (DDD-gated): primitive parameter clusters recurring three or more times across signatures extracted, then confirmed by language model when configured. Advisory, low-weight.

Do you agree with this assessment?

M1 · Documentation (README)8.0 / 10Strong✓ 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.

Do you agree with this assessment?

M2 · Architecture documentation2.0 / 10Critical✓ Tool-verified

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

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

No Architecture Decision Records found — decisions aren't captured for future maintainers.

What to do

Start an ADR log (docs/adr/) recording significant decisions and their rationale.

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.

What to do

Enable Dependabot/Renovate or a dependency-review gate.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.

Do you agree with this assessment?

P4 · Deployment & Rollback5.0 / 10Adequate✓ Tool-verified

Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.

Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.

Deployment automation exists but no readiness/liveness probes, rolling-update strategy, lifecycle hooks or migration job were evidenced — a bad release is harder to detect and reverse.

What to do

Add readiness/liveness probes and a rolling-update (or blue/green) strategy so a bad release is caught and rolled back automatically.
Add an approval/environment gate (required reviewers / protection rules) before production promotion.

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	100%	Exemplary	Strongest area.
Architecture	100%	Exemplary	Solid.
Maturity	58%	Adequate — gated by D34, M2	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness	59%	Adequate	Acceptable, with room to improve.
Security	91%	Exemplary	Solid.
Domain Modelling	38%	Weak — gated by DM4, DM5	Capped at Fair by a Critical contributor — resolve it before relying on this lens.

Not included — 78 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 the .NET document set and none was loaded for this repository, because it is written in another language or the solution 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 the .NET project-reference graph and none was loaded for this repository, because it is written in another language or the solution 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 the .NET project-reference graph and none was loaded for this repository, because it is written in another language or the solution 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 the .NET project graph (projects, types, namespaces) and no such graph was loaded for this repository, because it is written in another language or the solution 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 the .NET type surface and none was loaded for this repository, because it is written in another language or the solution 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 the .NET project graph (which projects are test projects, and what they reference) and no such graph was loaded for this repository, because it is written in another language or the solution 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 — no data
C1 Data Protection — Not assessed: these personal data controls are read from C# source (attributes, middleware, entity/column names, guard methods) and no C# source was loaded for this repository — because it is written in another language, or the solution failed to load. Absence of a .NET idiom 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 C# source (attributes, middleware, entity/column names, guard methods) and no C# source was loaded for this repository — because it is written in another language, or the solution failed to load. Absence of a .NET idiom 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 C# source (attributes, middleware, entity/column names, guard methods) and no C# source was loaded for this repository — because it is written in another language, or the solution failed to load. Absence of a .NET idiom 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 C# source (attributes, middleware, entity/column names, guard methods) and no C# source was loaded for this repository — because it is written in another language, or the solution failed to load. Absence of a .NET idiom 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 C# source (attributes, middleware, entity/column names, guard methods) and no C# source was loaded for this repository — because it is written in another language, or the solution failed to load. Absence of a .NET idiom 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 — ~1840 lines of test source are present (.go) but the test-quality collector reads C# only, so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D11 Test Reliability — Test reliability not included
D12 Dependency Hygiene — Dependency hygiene not measured — dependency manifest found but not parsed for hygiene
D14 License Compliance — Not scored — this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (a Go module (go.mod/go.sum)), which this pass does not parse yet — so this dimension asserts nothing about this repository's licensing in either direction.
D16 Bus Factor — dormant codebase — no living knowledge left to concentrate
D17 Explicit Debt — explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language — this asserts nothing about how many markers the code carries. Not scored — this is a gap in the analyzer, not a finding about this repository
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
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 (.go) 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 namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["Acme.Billing"]`, `Catalog: ["Acme.Catalog"]`.
D24 Comment Value — No inline comments to assess — comment value is not applicable here.
D25 ADR Conformance — no ADRs to check
D26 Project Cohesion — Project cohesion is assessed over the .NET project set; this target exposed no projects, so project size and spread could not be assessed. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D27 Navigability — No calls could be sampled, so navigability was not assessed — tracing effort is measured over resolved call sites and this target exposed none. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D30 Dependency Vulnerabilities — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Go module (go.mod/go.sum) — not scanned yet) — where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
D32 Data Compliance (PII/GDPR) — No PII/GDPR ruleset is bundled (the public p/gdpr semgrep pack was retired) — data compliance is not assessed in this scan.
D33 JS/npm Dependency Vulnerabilities — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
D36 Supply-chain Provenance & Signing — The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a NuGet package, a container image, a GitHub release).
D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D38 OSV Dependency Vulnerabilities — OSV Dependency Vulnerabilities not included (check did not complete)
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D5 Coupling — Inter-project coupling could not be assessed — no analyzable project graph was found for this repository. Not scored: a gap in the analyzer's reach, not a verdict about this repository. (Coupling here is Martin afferent/efferent/instability plus reference cycles across a project-reference graph, read today from .NET project files; other ecosystems' module graphs are not read yet.)
D6 Cohesion (LCOM4) — Cohesion (LCOM4) is measured over a C#/VB class graph, and this repository's production source is mostly .go, which this pass does not read, so cohesion was not assessed for this repository. Not scored — this is a gap in the analyzer, not a finding about this repository.
D7 Architectural Integrity — no checkable ADRs and no dependency cycles — architectural integrity not assessed
D8 Code Coverage — Coverage not included — suite not readable by the collector
D9 Test Distribution — Test source is present (.go) but the test-pyramid classifier reads C# only, so its unit/integration/BDD/E2E split couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
DM1 Aggregate boundaries — no aggregates detected — aggregate-boundary check not applicable
DM2 Strongly-typed ids — no id-bearing domain types detected — strongly-typed-id adoption not assessable
DM3 Integration-event coupling — no integration events detected — coupling check not applicable
DM6 Domain ↔ infrastructure boundary — no domain-layer types detected — domain↔infrastructure boundary check not applicable
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 are read from C# source and none was loaded for this repository, because it is written in another language or the solution failed to load. This is a gap in the analyzer, not a finding about this repository
P12 CI test-gate honesty — no data
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 applicable — this isn't a service/API/worker
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 (`go test -coverprofile=coverage.out ./...`) 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 C# source (attributes, middleware, entity/column names, guard methods) and no C# source was loaded for this repository — because it is written in another language, or the solution failed to load. Absence of a .NET idiom 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 — no data
X1 Async correctness — not analysed — these correctness checks are read from C# source and none was loaded for this repository, because it is written in another language or the solution failed to load. This is a gap in the analyzer, not a finding about this repository
X2 Cancellation propagation — not analysed — these correctness checks are read from C# source and none was loaded for this repository, because it is written in another language or the solution failed to load. This is a gap in the analyzer, not a finding about this repository
X3 Exception handling — not analysed — these correctness checks are read from C# source and none was loaded for this repository, because it is written in another language or the solution failed to load. This is a gap in the analyzer, not a finding about this repository
X4 Structured logging — not analysed — these correctness checks are read from C# source and none was loaded for this repository, because it is written in another language or the solution 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 are read from C# source and none was loaded for this repository, because it is written in another language or the solution 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 — 1 finding(s)

D29 · Static Analysis (SAST) · High · ×1

High: github-actions-mutable-action-tag .github/workflows/release-please.yml:10 — 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: google-github-actions/release-please-action@<40-character SHA>`. This step references `google-github-actions/release-please-action@v3`; resolve the SHA it points at today with `gh api repos/google-github-actions/release-please-action/commits/v3 --jq .sha`.

Warning — 1 finding(s)

D16 · Bus Factor · dormant codebase · ×1

dormant codebase — no living knowledge left to concentrate — All 2 significant source file(s) were last meaningfully changed so long ago that no living knowledge remains — nothing since has been substantial enough to re-establish ownership (a broad, mechanical sweep that touches many files shallowly does not count, and neither does no activity at all). There is no concentration to measure, so the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).

Recommendation — 6 finding(s)

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

Test reliability not included — Test source is present (.go) 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.

D19 · Documentation Quality · The 'Architecture & code organization' section is cut off by the scanner mid-sentence ('Midway through each API request...'), so its full outline (setup, download/install both project and dev dependencies, start dependencies, run db migrations, load fixtures) cannot be confirmed from the visible text. · ×1

The 'Architecture & code organization' section is cut off by the scanner mid-sentence ('Midway through each API request...'), so its full outline (setup, download/install both project and dev dependencies, start dependencies, run db migrations, load fixtures) cannot be confirmed from the visible text. README.md — Ensure the visible Architecture & code organization portion states how to set up and run the dependencies (postgres and stripe-mock), and that each of the outlined setup steps is present in the document.

D29 · Static Analysis (SAST) · Low · ×1

Low: missing-ssl-minversion pkg/stripemock/stripe.go:51 — `MinVersion` is missing from this TLS configuration. By default, as of Go 1.22, TLS 1.2 is currently used as the minimum. Set `MinVersion` EXPLICITLY so the floor is a decision in your code rather than whatever the toolchain currently defaults to. Which version depends on who the peer is: for a server, or for a client that talks only to endpoints you control, `tls.VersionTLS13`; for a client that must reach third-party servers (a package registry, a webhook target, an on-prem service), `tls.VersionTLS12` — pinning 1.3 there refuses to connect to peers that still terminate at 1.2. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.

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

Further orphaned files (smaller) — 2 of 2 analysed file(s) have no living knowledge left — their last meaningful change has decayed away, so if one breaks, no one currently understands it. None is large enough to schedule a dedicated read-through on its own, so they are folded into the freshness score rather than raised individually — largest first: usecase/ride.go, pkg/stripemock/stripe.go.

D38 · OSV Dependency Vulnerabilities · OSV Dependency Vulnerabilities not included (check did not complete) · ×1

OSV Dependency Vulnerabilities not included (check did not complete) — OSV Dependency Vulnerabilities could not be assessed in this run — the check did not complete, so it is not scored. This is a gap in the analyzer, not a finding about this repository.

D8 · Code Coverage · Coverage not included · ×1

Coverage not included — suite not readable by the collector — Coverage NOT MEASURED: test source is present (.go) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (`go test -coverprofile=coverage.out ./...`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored.

Info — 2 finding(s)

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

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

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

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

Appendix B — Reproduction & audit trail

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

Dimension	Tool	Version	Command	Findings	Raw output
D28 · Secrets (history)	gitleaks	—	gitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .	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 .	2	artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilities	none (no readable dependency manifest)	—	none (no readable dependency manifest): not present in this environment	0	—
D31 · IaC & Container Security	trivy	—	trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.	0	—
D32 · Data Compliance (PII/GDPR)	semgrep	—	semgrep: not applicable — No PII/GDPR ruleset is bundled (the public p/gdpr semgrep pack was retired) — data compliance is not assessed in this scan.	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	—
D36 · Supply-chain Provenance & Signing	provenance	—	provenance: not applicable — The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a NuGet package, a container image, a GitHub release).	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	—
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 019fafda-c66c-78b4-bf7b-ac8f83b668e5 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Rafael-Piovesan/go-Rocket-Ride

Executive summary

Top priorities

Diagnosis — what's actually going on

At a glance — Code Health · 100% · Exemplary

At a glance — Architecture · 100% · Exemplary

At a glance — Maturity · 58% · Adequate · gated by D34, M2

At a glance — Readiness · 59% · Adequate

At a glance — Security · 91% · Exemplary

At a glance — Domain Modelling · 38% · Weak · gated by DM4, DM5

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