Public report — refit, published 5 Aug 2026.
Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version;
ask the repo owner for the full report.
53findings with an exact file:lineof 66 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
53/97dimensions across the health lenses40138 LoC · 135 projects — wide & deep
Executive summary
Read through the Production lens — the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.
reactiveui/refit is in a workable but fragile state (58%). It is not in crisis, but it carries material risk that makes change slower and incidents harder to contain if left unaddressed.
It is strongest in Architecture (99%) — the structure is clean and changes stay contained. Code Health (80%) is solid too.
The area that most needs attention is Security (45%) — exposure to security and compliance incidents is elevated. Maturity (60%) 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: Encrypt sensitive data at rest (ASP.NET Core Data Protection /… (Data Protection); security response headers (Content-Security-Policy (Web-Security Posture); 6 High finding(s) (Static Analysis (SAST)).
For scale: Medium (~40,138 production lines); rebuilding it from scratch would take roughly ~0.8 person-years (~1–2 engineers). Approximate, ±~30%.
It builds on a genuinely strong Architecture foundation (99%); the priorities above are the highest-leverage way to bring the rest up to that level.
How the score is built — each lens's share of the headlineWidth 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.
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.
This codebase represents roughly ~0.8 person-years of build effort (about ~€110,000 to rebuild). Its weakest lens is Security at 45% — the part of that asset most exposed by the findings below.
How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.1) — service/app × a 0.8× quality factor, at €60–95/h; indicative, ±~30%. Indicative only — most sensitive to the hourly rate and the domain tier (both tunable in config).
Top priorities
The highest-leverage moves; the full ranked list is in the Roadmap below.
1
Resolve the 6 High finding(s) in Static Analysis (SAST) — start with netfx-smoke.yml (2), release.yml (2), renovate.json.
Encrypt sensitive data at rest (ASP.NET Core Data Protection / column encryption) and manage keys in a vault. Skip if delegated to infra (Postgres TDE, KMS, etc.).
Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.
Value concentrated against a weak lens · Medium · Value at risk
This is a Medium asset (~0.8 person-years to rebuild), and its weakest lens is Security at 45%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
→ Direct remediation budget at Security first — highest risk-reduction per euro on an asset this size.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Encrypt sensitive data at rest (ASP.NET Core Data Protection / column encryption) and manage keys in a vault. Skip if delegated to infra (Postgres TDE, KMS, etc.). The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Encrypt sensitive data at rest (ASP.NET Core Data Protection / column encryption) and manage keys in a vault. Skip if delegated to infra (Postgres TDE, KMS, etc.).
Architecture — bounded-context dependency graph
Each box is a bounded context (its layer projects grouped, or a project count when large); arrows show dependencies between contexts. A shared kernel is where many arrows converge.
Architecture — module dependency matrix
18 modules, 5 dependencies — every dependency points down the layering, so there are no cycles. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows — an unusual but cycle-free dependency sits below the diagonal like any other.)
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
6
High / Critical
Roadmap
Begin by encrypting sensitive data at rest and managing keys in a secure vault, while also implementing security response headers to harden the web application. Next, address the six high-priority findings in static analysis to improve code quality and security. Finally, establish a structured architecture documentation process by creating and maintaining architectural decision records to capture significant design choices and their consequences.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Resolve the 6 High finding(s) in Static Analysis (SAST) — start with netfx-smoke.yml (2), release.yml (2), renovate.json.
Encrypt sensitive data at rest (ASP.NET Core Data Protection / column encryption) and manage keys in a vault. Skip if delegated to infra (Postgres TDE, KMS, etc.).
Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.
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).
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. 51 of 53 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 — 53 dimensions across the health lenses
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, 53 of 66 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
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.
D24 Comment Value — LLM provider failed — The model provider returned an unusable result, so this LLM-assisted dimension fell back to a measurement gap (confidence 0) rather than a penalty. Re-run with a reachable provider to score it.
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.
D5 Coupling: Coupling is measured between projects/assemblies — runtime coupling through DI, reflection, messaging or shared databases is invisible to a static reference graph.
D6 Cohesion (LCOM4): LCOM4 cohesion is syntactic — it infers connectivity from which methods touch which fields/methods by name, not from real runtime behaviour or intent.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D10 Test Quality: Assertion density is structural — it cannot tell a meaningful behavioural assertion from a trivial one, only that an assertion is present.
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.
D17 Explicit Debt: Acknowledged-debt signals (TODO/FIXME, suppressions, dead code) are textual — undocumented debt that nobody marked, and debt that lives in design rather than annotations, is invisible. Committed machine-written code (scaffolded migrations, designer/codegen output, generated stubs) is excluded — it is never the team's dead code to delete.
D18 Solution Shape: Build integrity reflects whether the solution compiled in this environment — a build that needs a private feed, a specific SDK, or a generated file absent from the repo can read as broken when it is merely unreproducible here.
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.
D20 ADR Quality: ADR quality is an LLM read of the decision records present — it cannot know about decisions made and never recorded, and its verdict is sampled and advisory.
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.
D26 Project Cohesion: Project focus is sized from members/namespaces per project — a project that is broad by deliberate design reads the same as one that has sprawled.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D31 IaC & Container Security: IaC scanning checks Dockerfiles/Terraform/Kubernetes against best-practice rules — it cannot see the live cloud account, runtime configuration, or drift between the committed config and what is actually deployed.
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.
AX10 Code composition: Role is inferred from namespace/folder convention, not semantics — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
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 (4): D19, D20, 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.
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.
0 method(s) exceeded the cyclomatic complexity threshold of 15. A further 1 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 Emitter.AppendEscapedCharacter at 17 — they are counted neither in the figure above nor in this dimension's score.
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.
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 Classes9.3 / 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.
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.
Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.
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D5 · Coupling9.9 / 10Exemplary✓ Tool-verified
What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.
Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.
Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type — the population is all types, not a name convention.
What it measures: Whether a class's methods are focused on a single responsibility.
Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.
Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.
D9 · Test Distribution10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.
Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.
6741 test methods: 6741 unit, 0 integration, 0 BDD, 0 e2e.
✓ On the Gold path — maintain.
Detailed fixes: d9_recommendation.md.
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D10 · Test Quality10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether the tests truly assert behaviour rather than just running the code.
Method: Per-test assertions, skips, and mock references analyzed via Roslyn; structured skip-reason tags (BUG:/ENV:) separate documented deferrals from debt. Deterministic.
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.
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.
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.
Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.
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D16 · Bus Factor8.6 / 10Strong✓ 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.
17 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is src/InterfaceStubGenerator.Shared/Parser.Request.cs.
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?
D17 · Explicit Debt7.5 / 10Strong✓ Tool-verified
What it measures: Acknowledged debt left in the code — TODOs, dead code, suppressed warnings.
Method: Roslyn syntactic debt markers (suppressions/TODO/FIXME/HACK/empty-catch/commented-code/Obsolete) plus SymbolFinder dead-code analysis; weighted-debt-per-KLoC density deducted 2.0x per unit. Deterministic, exhaustive.
Resolve the 4 NoWarnInCsproj finding(s) in Explicit Debt — start with Refit.Tests.csproj, Refit.Testing.Tests.csproj, Refit.Reflection.Tests.csproj. — One of this dimension's main actionable groups (4 issue-level).
Resolve the 6 BareSuppressMessage finding(s) in Explicit Debt — start with IApiResponse.cs (3), ApiResponse{T}.cs (2), IGeneratedUserApi.cs. — One of this dimension's main actionable groups (6 warning-level).
Resolve the 1 XxxComment finding(s) in Explicit Debt — start with IntegrationTestHelper.cs. — One of this dimension's main actionable groups (1 warning-level).
Enforce Explicit Debt in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d17_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether the solution is laid out in a sensible, conventional structure.
Method: Solution structure: project count, decomposition, shell-project detection, build success (confirmed failures cap the score); traced to actual .sln files and binaries. Deterministic.
135 projects, 5511 source files, 91167 hand-written lines of code (38935 production / 52232 test), 241 inter-project edges (build status unknown — did not finish).
Thin analysable surface across projects
Build status unknown
✓ On the Gold path — maintain.
Detailed fixes: d18_recommendation.md · top locations in Appendix A, every location in findings.md.
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.
The Refit project is well documented: a single README and two dedicated testing docs cover the library's purpose, major features, and testing framework with a detailed table of contents. The README gives an overview plus links to NuGet badges, a sponsor list, and a roadmap; the testing doc explains how route tables work and lists every numbered test topic in full outline form. Both documents are clipped mid-sentence by the scanner but the visible content is clear and complete for a project this large.
What it measures: Whether architecture decisions are recorded well (context, decision, consequences).
Method: Per-ADR judgment by language model at low temperature with two-pass stability; confidence is share of ADRs evaluated; enforcement-field presence detected deterministically. 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.
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.
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).
High: renovate-missing-minimum-release-age · ×6.github/renovate.json:8detected by semgrep finding
What to do
Resolve the 6 High finding(s) in Static Analysis (SAST) — start with netfx-smoke.yml (2), release.yml (2), renovate.json. — One of this dimension's main actionable groups (6 issue-level).
Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.
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.
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.
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.
Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 No build provenance finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 recommendation-level).
Resolve the 1 No SBOM 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.
Other · Architecture — Whether any singleton service captures a scoped/transient dependency — a silent lifetime/threading bug.
Method: Roslyn scan: DI registrations parsed from AddSingleton/Scoped/Transient; each singleton checked for captured shorter-lifetime dependencies. Exhaustive, deterministic.
Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified.
Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.
Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.
What to do
The domain core is a small share of production code — check that business logic isn't leaking into the application/infrastructure layers (a thin domain is the anemic-domain smell).
Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).
Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.
Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.
Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.
Other · Architecture — Whether the codebase has a recognisable, scale-appropriate structure (a named architectural style, or modular enough for its size) rather than being an ad-hoc ball of mud.
Method: Roslyn plus csproj analysis: architecture style detection (DDD, clean, vertical-slice, CQRS) and structure fitness for repo size. Deterministic.
Other · Architecture — Whether interfaces stay focused rather than fat — the Interface-Segregation principle (SOLID 'I').
Method: Roslyn scan: public interface member counts; fat-interface threshold (over 15 members) flagged per type. Deterministic, type-level.
`IGitHubService` declares 16 members. A wide interface forces every implementer and caller to depend on methods they don't use (the Interface-Segregation 'I' in SOLID). Split it into focused role-interfaces. — IGitHubService.cs:9
What to do
Split fat interfaces into focused role-interfaces so clients depend only on what they use.
Do you agree with this assessment?
AX8 · Test isolation10.0 / 10Exemplary✓ Tool-verified
Other · Architecture — Whether production projects stay free of references to test projects — tests may depend on production, never the reverse.
Method: Csproj graph: each production project checked for references to test projects (identified by test-framework presence, not name). Zero violations is clean. Deterministic.
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C1 · Data Protection0.0 / 10Critical✓ Tool-verified
Other · Security — Whether sensitive data is encrypted at rest and in transit and keys are vaulted.
Method: Roslyn plus filesystem scan: encryption presence (EF ColumnEncryption, key-vault references, HTTPS enforcement) and key-derivation KDF detection. Deterministic.
No data-protection or encryption usage (ASP.NET Data Protection, AES, column encryption, PBKDF2) was found — sensitive data at rest may be unprotected. If TDE/KMS/vault is delegated to infrastructure, ignore.
What to do
Encrypt sensitive data at rest (ASP.NET Core Data Protection / column encryption) and manage keys in a vault. Skip if delegated to infra (Postgres TDE, KMS, etc.).
Enforce HTTPS (UseHttpsRedirection / RequireHttpsMetadata) so data in transit is always encrypted.
Other · Security — Whether access is authorized by default — a framework authorization attribute/decorator or policy, or imperative guard methods (throw-on-violation) called from handlers.
Method: Roslyn scan: [Authorize] usage and authorization policies, plus imperative throw-on-violation guard methods detected via syntax. Deterministic.
Other · Code Health — Unreviewed-generation residue: shipped members still throwing NotImplementedException, and placeholder string literals left in non-test, non-generated code. Scored as a quality signature, never as a claim about authorship.
Method: Roslyn syntax scan: NotImplementedException throws and placeholder string literals in non-test, non-generated shipped code. Deterministic, code-shape signature.
A placeholder string ("ada@example.com") is still in shipped code — typical of generated boilerplate that was never filled in. (×2) — FormBodySerializationBenchmark.cs:38, FormValueMappingBenchmarks.cs:53
What to do
Finish or delete NotImplementedException stubs and replace placeholder literals before shipping.
Other · Code Health — Unfinished work detected by code SHAPE, not keywords: members that only throw a "not implemented" exception, methods that take inputs and return a constant, async methods that never await, dead `if (false)` / `#if false` branches, and skeleton types most of whose members are holes. A real, objective slice of technical debt.
Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.
Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.
What to do
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Add a README to the 34 of 34 project(s) that lack one — worth up to 2 pts.
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.
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.
Only 2/23 service-like projects use logging (pure contract/DTO projects are excluded — they have nothing to log). Of those 23, 4 ship a process this repository operates; the rest are libraries their consumer hosts, where the logging decision belongs to the host.
What to do
Extend structured logging across the projects you operate, and give the library ones a diagnostics seam instead — an `EventSource`/`ActivitySource` the host can subscribe to, or an optional logger on your options object — rather than taking a logging dependency on your consumers' behalf.
Consider OpenTelemetry tracing/metrics and a health-check endpoint for operability.
Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.
What to do
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
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.
Readiness · Performance — Whether the library protects its performance with benchmarks — a benchmark suite, allocation/memory measurement, and (ideally) a CI gate. Presence is credited as a bonus, never a deduction.
Method: Repo + source scan: BenchmarkDotNet referenced (csproj/source), [Benchmark]/[MemoryDiagnoser] attribute counts, and a benchmark step in CI — scored as a bonus ladder (absence is neutral, never a deduction). Deterministic, presence detection.
Readiness · Performance — Whether the code is written to minimise allocations so it doesn't pressure its host's memory manager — buffer/slice views over copies, object pooling, stack or value-type allocation, and buffer writers. Reward-only: credited where present, never penalised where a simpler style is fine.
Raise allocation-aware density on the hot paths — currently 140 use(s) across 42,514 production line(s) (~3.3/1k). More Span/Memory, pooling (ArrayPool/ObjectPool), stackalloc and ValueTask on the allocation-heavy paths climbs this toward 10.
Readiness · Performance — Whether asynchronous code keeps its host responsive — a library awaits with ConfigureAwait(false) (so it never captures and stalls the host's context) and avoids sync-over-async blocking (.Wait()/.GetAwaiter().GetResult()) that wastes threads and risks deadlock.
Method: Production-source scan: sync-over-async blocking (.Wait()/.GetAwaiter().GetResult()) counted everywhere, and — for a library with ≥5 awaits — the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.
2 blocking call(s) on async work (.Wait()/.GetAwaiter().GetResult()) — these waste a thread and can deadlock in a consumer with a synchronization context.
What to do
Make the call chain async end-to-end and await it — never block on a Task with .Wait()/.GetAwaiter().GetResult() in library code.
Other · Security — Transport security, security headers, secure cookies, input validation, middleware order and crypto hygiene (presence, not runtime).
No Content-Security-Policy / X-Frame-Options / X-Content-Type-Options configuration found — defense in depth, even when a reverse proxy could set them. (−2.0 on this card.)
No UseHttpsRedirection/UseHsts and no reverse-proxy signal — transport security is unverified at the app layer. (−2.0 on this card.)
What to do
Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.
Enforce HTTPS at the app layer (UseHttpsRedirection / UseHsts) — only skip this if a reverse proxy demonstrably terminates TLS.
Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.
Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.
Blocking on a Task with `.Wait()`/`.GetAwaiter().GetResult()` can deadlock (and wastes a thread). Prefer awaiting it: make the caller `async` and `await` instead. Where a synchronous entry point must stay — a public sync API you cannot break, or a process entry point that must not return until the work finishes — the block belongs in ONE documented bridge and never inside code that is already async; and where it already is that bridge, give the wait a TIMEOUT so a hung task fails the call instead of hanging the process. (×2) — RequestBuilderImplementation.cs:243, RequestBuilderImplementation.cs:258
Other · Code Health — Whether async methods accept a CancellationToken so work can be cancelled (adoption curve).
Method: Roslyn scan: every async method (excluding framework-fixed overrides/Blazor handlers) checked for CancellationToken parameter presence. Deterministic, adoption percentage.
Only 37/63 async methods accept a CancellationToken, so in-flight work can't be stopped early when the caller gives up — whatever ends it in your host (shutdown signal, timeout, abandoned request, user cancel). Thread a token through the call chain and honour it at each await and loop; where a method genuinely cannot be interrupted, omitting it is a deliberate choice — judge against your hosting model.
No CancellationToken parameter — this work can't be stopped early once started. (×25) — RequestBuilderImplementation.RequestBuilding.cs:261, StubHttp.cs:265, StubHttp.cs:376, …
What to do
Thread a CancellationToken through async methods so work stops promptly on cancellation.
Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.
Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.
Other · Code Health — Whether log calls use message templates (queryable) rather than interpolated strings.
Method: Roslyn syntax scan: every log call-site counted; interpolated-string first-argument violations flagged. Population is all log calls, not estimated. Deterministic.
Other · Code Health — Whether nullable reference types are enabled and not undermined by heavy `!` suppression.
Method: Roslyn compiler-options scan: NullableContextOptions per project; null-forgiving (!) suppression density per 1k syntax nodes. Deterministic, adoption plus suppression penalty.
~2.5 `!` suppressions per 1k syntax nodes — 331 suppression(s) across the 130082 syntax node(s) in code where nullable warnings are ENABLED, which is the only code a `!` can suppress anything in (a `!` under `#nullable disable` is inert and is not counted, and its file's nodes are not in the denominator). Each one tells the compiler to trust you about null, suppressing the very safety NRTs provide.
What to do
Enable <Nullable>enable</Nullable> across all projects and resolve warnings rather than suppressing with `!`.
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.
Not included — 44 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.
AX2 Stateful singletons — no singleton implementations detected
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
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.
C3 Audit Trail — Repo shows no audit-logging mechanism (IAuditable, an immutable audit log, an EF SaveChanges interceptor) for sensitive changes — absence of evidence is not evidence of a working control. Record an audit trail in code (or document where it lives) so this dimension can be scored.
C4 Data Retention — Repo shows no data-retention / TTL / cleanup mechanism for personal data — absence of evidence is not evidence of a working control. Define retention periods and a purge/cleanup job (or TTL) in code, or document where retention is enforced, so this dimension can be scored.
C5 Data-Subject Rights — Repo shows no corroborated data-subject-rights mechanism (erasure / export-portability / consent) tied to a subject id or GDPR vocabulary — absence of evidence is not evidence of a working control. Implement erasure, data export/portability and consent tracking over the subject's records.
D11 Test Reliability — Test reliability not measured — analyzer environment
D14 License Compliance — license scan produced no result — the tool ran but its JSON output could not be parsed; the offline NuGet fallback resolved nothing
D22 Internal API Consistency — No exposed public API
D23 Boundary Type-Coupling — Bounded contexts not declared
D24 Comment Value — LLM evaluation failed
D25 ADR Conformance — no ADRs to check
D27 Navigability — symbol resolution incomplete — navigability not assessed
D30 Dependency Vulnerabilities — the solution did not restore on the analyzer's .NET SDK (an SDK/target-framework/restore mismatch, common for an older codebase), so there was no restored dependency graph to scan for NuGet CVEs — excluded rather than scored; re-run on an SDK that can restore this solution
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 — The target did not build, so no IL was available to measure.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D7 Architectural Integrity — no checkable ADRs and no dependency cycles — architectural integrity not assessed
D8 Code Coverage — Coverage not measured — analyzer environment
DM1 Domain Modelling — not scored — this repository shows only 1 of the 3 signals this check looks for (38 value object(s))
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this check looks for
P12 CI test-gate honesty — Reported, not scored — this card publishes what the CI gate does with the test inventory rather than grading it. The findings above are its output.
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 — no outbound HTTP usage detected
P8 Schema migrations — no EF Core usage detected
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
SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X6 Hand-rolled structured-format parsing — Reported, not scored — this card publishes what it found rather than grading it. Its content is the findings and the key metric above.
X7 Silent fallback defaults — Reported, not scored — this card publishes what it found rather than grading it. Its content is the findings and the key metric above.
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.
High: renovate-missing-minimum-release-age .github/renovate.json:8— This Renovate configuration does not set a minimum release age. Newly published packages can be malicious or unstable. Add `"minimumReleaseAge": "7 days"` within a `packageRules` entry to wait 7 days before proposing updates to newly published package versions. Set `"minimumReleaseAge": false` to set an exception for minimal release age for the package rule. Added in: v42. 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 6 such entries; one cooldown decision clears them all — reported once.
High: github-actions-mutable-action-tag .github/workflows/ci-build.yml:39— 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-artifact@<40-character SHA>`. This step references `actions/upload-artifact@v7`; resolve the SHA it points at today with `gh api repos/actions/upload-artifact/commits/v7 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/netfx-smoke.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@v7`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v7 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/netfx-smoke.yml:20— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-dotnet@<40-character SHA>`. This step references `actions/setup-dotnet@v6`; resolve the SHA it points at today with `gh api repos/actions/setup-dotnet/commits/v6 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/release.yml:60— 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/download-artifact@<40-character SHA>`. This step references `actions/download-artifact@v8`; resolve the SHA it points at today with `gh api repos/actions/download-artifact/commits/v8 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/release.yml:65— 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@v6`; resolve the SHA it points at today with `gh api repos/actions/setup-dotnet/commits/v6 --jq .sha`.
NoWarnInCsproj — 12 warning codes suppressed in one element src/tests/Refit.Tests/Refit.Tests.csproj:10— A single <NoWarn> suppresses 12 warning codes (IL2026;IL2046;IL2067;IL2072;IL2075;IL2091;IL2109;IL3050;IL3051;RF003;RF004;RF005) in one stroke — one team-wide decision, not 12 independent debts. Review the set centrally rather than code-by-code; each code you can re-enable is one less blanket suppression. (Every code still counts toward the score and metrics.)
NoWarnInCsproj — 12 warning codes suppressed in one element src/tests/Refit.Testing.Tests/Refit.Testing.Tests.csproj:10— A single <NoWarn> suppresses 12 warning codes (IL2026;IL2046;IL2067;IL2072;IL2075;IL2091;IL2109;IL3050;IL3051;RF003;RF004;RF005) in one stroke — one team-wide decision, not 12 independent debts. Review the set centrally rather than code-by-code; each code you can re-enable is one less blanket suppression. (Every code still counts toward the score and metrics.)
NoWarnInCsproj — 12 warning codes suppressed in one element src/tests/Refit.Reflection.Tests/Refit.Reflection.Tests.csproj:10— A single <NoWarn> suppresses 12 warning codes (IL2026;IL2046;IL2067;IL2072;IL2075;IL2091;IL2109;IL3050;IL3051;RF003;RF004;RF005) in one stroke — one team-wide decision, not 12 independent debts. Review the set centrally rather than code-by-code; each code you can re-enable is one less blanket suppression. (Every code still counts toward the score and metrics.)
NoWarnInCsproj — 12 warning codes suppressed in one element src/tests/Refit.Newtonsoft.Json.Tests/Refit.Newtonsoft.Json.Tests.csproj:10— A single <NoWarn> suppresses 12 warning codes (IL2026;IL2046;IL2067;IL2072;IL2075;IL2091;IL2109;IL3050;IL3051;RF003;RF004;RF005) in one stroke — one team-wide decision, not 12 independent debts. Review the set centrally rather than code-by-code; each code you can re-enable is one less blanket suppression. (Every code still counts toward the score and metrics.)
BareSuppressMessage src/Refit/ApiResponse{T}.cs:146— SuppressMessage — the suppression records no reason: either it carries no justification argument at all, or one that states nothing a reader can weigh ("OK", "By design"). A suppression is a decision somebody made, and without the reason the next reader cannot tell a considered exception from an unexamined one, so it is never revisited. Write what makes this site legitimately different — the invariant that holds, the framework contract that forces the shape — or remove the suppression and fix what it hides.
BareSuppressMessage src/Refit/ApiResponse{T}.cs:158— SuppressMessage — the suppression records no reason: either it carries no justification argument at all, or one that states nothing a reader can weigh ("OK", "By design"). A suppression is a decision somebody made, and without the reason the next reader cannot tell a considered exception from an unexamined one, so it is never revisited. Write what makes this site legitimately different — the invariant that holds, the framework contract that forces the shape — or remove the suppression and fix what it hides.
BareSuppressMessage src/Refit/IApiResponse.cs:71— SuppressMessage — the suppression records no reason: either it carries no justification argument at all, or one that states nothing a reader can weigh ("OK", "By design"). A suppression is a decision somebody made, and without the reason the next reader cannot tell a considered exception from an unexamined one, so it is never revisited. Write what makes this site legitimately different — the invariant that holds, the framework contract that forces the shape — or remove the suppression and fix what it hides.
BareSuppressMessage src/Refit/IApiResponse.cs:80— SuppressMessage — the suppression records no reason: either it carries no justification argument at all, or one that states nothing a reader can weigh ("OK", "By design"). A suppression is a decision somebody made, and without the reason the next reader cannot tell a considered exception from an unexamined one, so it is never revisited. Write what makes this site legitimately different — the invariant that holds, the framework contract that forces the shape — or remove the suppression and fix what it hides.
BareSuppressMessage src/Refit/IApiResponse.cs:90— SuppressMessage — the suppression records no reason: either it carries no justification argument at all, or one that states nothing a reader can weigh ("OK", "By design"). A suppression is a decision somebody made, and without the reason the next reader cannot tell a considered exception from an unexamined one, so it is never revisited. Write what makes this site legitimately different — the invariant that holds, the framework contract that forces the shape — or remove the suppression and fix what it hides.
BareSuppressMessage src/tests/Refit.GeneratedCode.TestModels/Scenarios/IGeneratedUserApi.cs:39— System.Diagnostics.CodeAnalysis.SuppressMessage — the suppression records no reason: either it carries no justification argument at all, or one that states nothing a reader can weigh ("OK", "By design"). A suppression is a decision somebody made, and without the reason the next reader cannot tell a considered exception from an unexamined one, so it is never revisited. Write what makes this site legitimately different — the invariant that holds, the framework contract that forces the shape — or remove the suppression and fix what it hides.
TooManyMethods: Parser src/InterfaceStubGenerator.Shared/Parser.Request.Query.cs:0— TooManyMethods — 2847 significant lines (blank, comment-only and punctuation-only lines excluded), 221 methods, declared across 18 files: InterfaceStubGenerator.Shared/Parser.Request.Query.cs (25), InterfaceStubGenerator.Shared/Parser.Request.cs (23), InterfaceStubGenerator.Shared/Parser.Request.ParameterKinds.cs (22), InterfaceStubGenerator.Shared/Parser.Request.Parameters.cs (17), +14 more file(s). The type holds no instance state, so there is no shared data to group its members by. To reduce it, split it by area instead: give each cohesive family of members its own smaller type, so no one type has to be read whole to change one of them.
TooManyMethods: Emitter src/InterfaceStubGenerator.Shared/Emitter.cs:0— TooManyMethods — 2759 significant lines (blank, comment-only and punctuation-only lines excluded), 180 methods, declared across 20 files: InterfaceStubGenerator.Shared/Emitter.cs (24), InterfaceStubGenerator.Shared/Emitter.Inline.cs (22), InterfaceStubGenerator.Shared/Emitter.Inline.Query.Object.cs (21), InterfaceStubGenerator.Shared/Emitter.Helpers.cs (17), +16 more file(s). The type holds no instance state, so there is no shared data to group its members by. To reduce it, split it by area instead: give each cohesive family of members its own smaller type, so no one type has to be read whole to change one of them.
TooManyMethods: RequestBuilderImplementation src/Refit.Reflection/RequestBuilderImplementation.cs:0— TooManyMethods — 1446 significant lines (blank, comment-only and punctuation-only lines excluded), 98 methods, declared across 6 files: Refit.Reflection/RequestBuilderImplementation.cs (26), Refit.Reflection/RequestBuilderImplementation.QueryAndHeaders.cs (24), Refit.Reflection/RequestBuilderImplementation.RequestBuilding.cs (22), Refit.Reflection/RequestBuilderImplementation.Payload.cs (12), +2 more file(s). To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: GeneratedRequestRunner src/Refit/GeneratedRequestRunner.cs:0— TooManyMethods — 460 significant lines (blank, comment-only and punctuation-only lines excluded), 47 methods, declared across 3 files: Refit/GeneratedRequestRunner.cs (34), Refit/GeneratedRequestRunner.Sending.cs (7), Refit/GeneratedRequestRunner.BodyContent.cs (6). The type holds no instance state, so there is no shared data to group its members by. To reduce it, split it by area instead: give each cohesive family of members its own smaller type, so no one type has to be read whole to change one of them.
TooManyMethods: RestMethodInfoInternal src/Refit.Reflection/RestMethodInfoInternal.cs:0— TooManyMethods — 595 significant lines (blank, comment-only and punctuation-only lines excluded), 44 methods, declared across 4 files: Refit.Reflection/RestMethodInfoInternal.cs (20), Refit.Reflection/RestMethodInfoInternal.ParameterBinding.cs (14), Refit.Reflection/RestMethodInfoInternal.AttributeReading.cs (9), Refit.Reflection/RestMethodInfoInternal.PathPrefix.cs (1). To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: RestService src/Refit/RestService.cs:0— TooManyMethods — 299 significant lines (blank, comment-only and punctuation-only lines excluded), 32 methods. The type holds no instance state, so there is no shared data to group its members by. To reduce it, split it by area instead: give each cohesive family of members its own smaller type, so no one type has to be read whole to change one of them.
D11 · Test Reliability· Test reliability not measured · ×1
Test reliability not measured — analyzer environment — Test reliability NOT MEASURED: the analyzer environment could not build/run the test suite (a target framework / SDK band or targeting pack the analyzer image doesn't carry), so no test ever ran. This is OUR limitation, not a defect in the repo — it is excluded from the score. We track the analyzer-image gap so it can be closed.
Hotspot: src/InterfaceStubGenerator.Shared/Emitter.Helpers.cs src/InterfaceStubGenerator.Shared/Emitter.Helpers.cs— src/InterfaceStubGenerator.Shared/Emitter.Helpers.cs changed 11 times in last 90 days, max complexity 17. 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.
XxxComment src/tests/Refit.Tests/IntegrationTestHelper.cs:28— // XXX: This is an evil hack, but it's okay for a unit test — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.notable[4].verdict | LineNumber: 0 | BytePositionInLine: 1025.
Change coupling: JsonContentSerializer.cs ↔ RefitSettings.cs src/Refit/JsonContentSerializer.cs— `src/Refit/JsonContentSerializer.cs` and `src/Refit/RefitSettings.cs` change together 56% of the time (10 of the 18 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking.
Unpinned build actions — CI references GitHub Actions by a floating ref (@main / @tag) rather than a pinned commit SHA, weakening build integrity. 12 floating ref(s) across 7 workflow file(s), 7 of them mutable BRANCH refs — pin those first. The reusable-workflow ref(s) below are the SAST lens's blind spot — pin these first: `reactiveui/actions-common/.github/workflows/workflow-common-sonarcloud.yml@main` (.github/workflows/sonarcloud.yml:14), `reactiveui/actions-common/.github/workflows/workflow-common-sonarcloud-fork.yml@main` (.github/workflows/sonarcloud-fork.yml:22), `reactiveui/actions-common/.github/workflows/workflow-common-release.yml@main` (.github/workflows/release.yml:39), `reactiveui/actions-common/.github/workflows/workflow-common-create-release.yml@main` (.github/workflows/release.yml:81), `reactiveui/actions-common/.github/workflows/workflow-common-aot-smoke.yml@main` (.github/workflows/native-aot.yml:14), `reactiveui/actions-common/.github/workflows/workflow-common-codeql.yml@main` (.github/workflows/codeql.yml:19), `reactiveui/actions-common/.github/workflows/workflow-common-setup-and-build.yml@main` (.github/workflows/ci-build.yml:16)
Duplicated block (16 lines × 2) src/InterfaceStubGenerator.Shared/Parser.Request.Helpers.cs:88— src/InterfaceStubGenerator.Shared/Parser.Request.Helpers.cs:88-103 | src/Refit.Reflection/RestMethodInfoInternal.PathPrefix.cs:17-32 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `src/InterfaceStubGenerator.Shared/Parser.Request.Helpers.cs:88` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (15 lines × 2) src/InterfaceStubGenerator.Shared/Emitter.ReflectionArguments.cs:26— src/InterfaceStubGenerator.Shared/Emitter.ReflectionArguments.cs:26-40 | src/InterfaceStubGenerator.Shared/Emitter.ReflectionArguments.cs:112-126 — 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. Read the line range as the matched WINDOW rather than a finished unit: at `src/InterfaceStubGenerator.Shared/Emitter.ReflectionArguments.cs:26` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (14 lines × 2) src/Refit.Reflection/RequestBuilderImplementation.QueryAndHeaders.Helpers.cs:103— src/Refit.Reflection/RequestBuilderImplementation.QueryAndHeaders.Helpers.cs:103-116 | src/Refit/GeneratedRequestRunner.cs:470-483 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (13 lines × 2) src/Refit.HttpClientFactory/HttpClientFactoryCore.cs:118— src/Refit.HttpClientFactory/HttpClientFactoryCore.cs:118-130 | src/Refit.HttpClientFactory/HttpClientFactoryCore.cs:289-301 — 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. Read the line range as the matched WINDOW rather than a finished unit: at `src/Refit.HttpClientFactory/HttpClientFactoryCore.cs:118` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (8 lines × 3) src/InterfaceStubGenerator.Shared/Emitter.Inline.Query.cs:412— src/InterfaceStubGenerator.Shared/Emitter.Inline.Query.cs:412-419 | src/InterfaceStubGenerator.Shared/Emitter.Inline.Query.Object.cs:30-37 | src/InterfaceStubGenerator.Shared/Emitter.Inline.Query.Object.cs:676-683 — there are 3 copies across 2 file(s) — more copies than files, so at least one file holds the block twice. Extract it once into a single shared function every call site can reach and call it from all 3 sites; resolving a subset leaves the remainder to drift apart. Read the line range as the matched WINDOW rather than a finished unit: at `src/InterfaceStubGenerator.Shared/Emitter.Inline.Query.cs:412` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Off the main sequence: Refit(net462) — Refit(net462): abstractness 0.17, instability 0.00, distance 0.83 — zone of pain — concrete and depended on by 6 project(s), so it's rigid to change.
Coverage not measured — analyzer environment — Coverage NOT MEASURED: the analyzer environment could not build/run the test suite (a target framework / SDK band or targeting pack the analyzer image doesn't carry). This is OUR limitation, not a defect in the repo — coverage is excluded from the score rather than counted as a near-zero. We track the analyzer-image gap so it can be closed; in the meantime, no coverage collector was found in your CI either, so there is no existing report to hand us — add a collector to your test run and commit (or publish into the working tree) its Cobertura/OpenCover/lcov output, and real coverage will be read.
Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 17 significant file(s) lose their only recent owner: src/InterfaceStubGenerator.Shared/Parser.Request.cs, src/Refit.HttpClientFactory/HttpClientFactoryExtensions.ServiceCollection.cs, src/Refit/ApiException.cs, src/Refit.HttpClientFactory/HttpClientFactoryExtensions.HttpClientBuilder.cs, src/Refit/CamelCaseStringEnumConverter.cs, src/Refit/ValidationApiException.cs, src/Refit/EnumHelpers.cs, src/Refit.Newtonsoft.Json/NewtonsoftJsonContentSerializer.cs (+9 more). Pair on, review, or document these before any departure.
Thin analysable surface across projects — 2 project(s) carry only a thin slice of real code (e.g. `Meow` with 17 significant line(s)). The mean analysable-surface weight is 91 %, lowering Solution Shape by about 0.7 point(s). Consolidate thin projects or grow them into substantial, well-scoped assemblies.
No ADRs found — No ADRs found at common paths; consider documenting architectural decisions in Docs/ADL/ or similar.
D23 · Boundary Type-Coupling· Bounded contexts not declared · ×1
Bounded contexts not declared — At 38935 LoC spread over 135 projects the codebase is both large and multi-module, so explicit bounded contexts are needed. Name this codebase's bounded contexts (≥2 module groups, e.g. per subsystem) so cross-boundary type coupling can be assessed. 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"]`.
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 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.
Build status unknown — The build did not finish within its budget on this run; structural metrics are reported, build/warning status is unknown.
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.
dotnet: not applicable — the solution did not restore on the analyzer's .NET SDK (an SDK/target-framework/restore mismatch, common for an older codebase), so there was no restored dependency graph to scan for NuGet CVEs — excluded rather than scored; re-run on an SDK that can restore this solution
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.
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.
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.
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.
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
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Run 019fd1e9-f381-7ea7-8076-aaa4b2757629 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Appendix C — Personal-data map
Every field, property and record parameter whose name is conventional personal data — 4 field(s) across 2 categories, each with an exact repo-relative file:line. This is the data inventory a compliance review starts from — right-to-erasure, retention, minimisation. Detected by name with a deliberately specific classifier (the same one the GDPR dimensions use, so CardDefinition or FileName don't trip); informational — it feeds no score.
Issues: 10 · Warnings: 25 · Recommendations: 6 · Info: 25 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 05-08-2026 @ 12:33 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.