Public report — WatchesAppCleanArchitecture, published 29 Jun 2026. Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version; ask the repo owner for the full report.
Watchdog 29-06-2026 @ 22:07 UTC Public
Code Health Audit

Cliveswe/WatchesAppCleanArchitecture

51% Weak
CriticalWeakAdequateStrongExemplary
lower third — near Weak

Hobby · 951 LoC · 5 projects · weakest lens: Readiness (44%)

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

47/49dimensions tool-verifieddeterministic · confidence 1.0 · 2 LLM-assisted, advisory
6findings with an exact file:lineof 15 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
49/92dimensions across the health lenses951 LoC · 5 projects — wide & deep

Executive summary

Read through the Template lens: this is a template / kata / sample / demo — code meant to be read or copied, not operated. The ship-it and operate-it dimensions (CI/CD, observability, ADRs, architecture docs, deployment security) are N/A, and the colour bands on what remains are relaxed to what an example needs. Code correctness stays near-strict; the score is absolute and comparable across repos.

cliveswe/WatchesAppCleanArchitecture carries serious risk (51%). Several issues below can materially affect reliability, security, or the cost of change and warrant near-term attention.

The area that most needs attention is Readiness (44%) — operating, monitoring and recovering the system safely is harder. Maturity (48%) 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: 1 No tests found finding(s) in Test Distribution (Test Distribution); `AddStandardResilienceHandler()` (or Polly policies) to your… (Outbound HTTP resilience); Start an ADR log (docs/adr/) recording significant decisions… (Architecture documentation).

For scale: Hobby (~951 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.

How the score is built — each lens's share of the headline Width is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
Readiness 44% · 46% weightMaturity 48% · 25% weightAccessibility 57% · 14% weightArchitecture 67% · 8% weightSecurity 69% · 4% weightCode Health 82% · 2% weight

Raise Readiness 44 → 70 (the Healthy floor) ⇒ headline 51 → ~57.

Code composition — where the lines go
Business logic 4%Plumbing 96%
Rebuild cost & value ~ Modeled — €180–€840
Cost to rebuild€180–€840 (0.1 person-years (3–9 h), ~1 engineer)
Domain complexityStandard — harder problems cost more per line
Quality factor0.7× (at 51% quality) — the last 20% of quality is most of the work
Size & shapeHobby · 79% boilerplate · 16% straight-line · 4% branching logic

How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.0) — service/app × a 0.7× 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 1 No tests found finding(s) in Test Distribution.
+6.7 pts · Low effort · Test Distribution
2
Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness.
+3.3 pts · Low effort · Knowledge Freshness
3
Add `AddStandardResilienceHandler()` (or Polly policies) to your HttpClient registrations so a flaky dependency can't take the app down.
+6.7 pts · Medium effort · Outbound HTTP resilience

Diagnosis — what's actually going on

Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Resolve the 1 No tests found finding(s) in Test Distribution. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Resolve the 1 No tests found finding(s) in Test Distribution.
Improving trajectory · Info · Trajectory
The headline is improving steadily (+2.3 pts/run over 9 runs) — whatever you're doing is working; keep the gate.
Evidence: trajectory: +2.3 pts/run over 9 runs

Trajectory

Where this codebase is heading — something a one-shot snapshot cannot show. 51 ▲ 1 over 9 runs.

025507510021 Junnow
OverallCode HealthArchitectureMaturityReadinessSecurityAccessibility

Architecture — module dependency graph

Project dependencies, layered top-to-bottom; arrows show direction. Any dashed red edge points upward or sideways — a layering smell or cycle. A clean layered graph has none.

arch Application Application Domain Domain Application->Domain Infrastructure Infrastructure Infrastructure->Application WatchesApp.Terminal Terminal WatchesApp.Terminal->Infrastructure WatchesApp.Web Web WatchesApp.Web->Infrastructure

At a glance — Code Health · 82% · Strong

At a glance — Architecture · 67% · Adequate · gated by AX2

At a glance — Maturity · 48% · Adequate · gated by M2

At a glance — Readiness · 44% · Adequate · gated by D9, P7

At a glance — Security · 69% · Strong

At a glance — Accessibility · 57% · Adequate · gated by AC2

Roadmap

Begin by addressing the single missing test in the Test Distribution to improve coverage. Next, enhance outbound HTTP resilience by adding standard resilience handlers to HttpClient registrations to prevent failures from impacting the application. Then, establish an architecture decision record log to capture significant design choices and their rationale. Finally, reorganize the project structure to separate production code from tooling, and update the root README with a testing section to clarify how to run the test suite.

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

Do thisHelpsEffortDimension
Resolve the 1 No tests found finding(s) in Test Distribution.+6.7 ptsLowTest Distribution
Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness.+3.3 ptsLowKnowledge Freshness
Add `AddStandardResilienceHandler()` (or Polly policies) to your HttpClient registrations so a flaky dependency can't take the app down.+6.7 ptsMediumOutbound HTTP resilience
Start an ADR log (docs/adr/) recording significant decisions and their rationale.+4.7 ptsMediumArchitecture documentation
Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.+4.7 ptsMediumFolder & project structure
Resolve the 1 Small-team knowledge concentration finding(s) in Bus Factor.+2.1 ptsLowBus Factor
Add a 'Testing' section to the root README — how to run the test suite.+4.0 ptsMediumDocumentation (README)
Reconcile the README with reality: README advertises a RAG / ML engine, but no ML/RAG code or dependency exists.+3.7 ptsMediumDocumentation accuracy

File quality

Per-file score 0–10 — a quality signature. Of 1 files carrying findings, judged against the Template bar: 0% slop · 0% mixed · 100% near-clean.

FileScoreBandWorst signal
Infrastructure/Repositories/WatchRepository.cs9.5Near-cleanIL Efficiency: IL efficiency: 1 authored method(s) exceed the IL budget

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. 47 of 49 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 — 49 dimensions across the health lenses
D1D2D3D4D5D6D9D12D13D15D16D17D18D19D21D26D27D28D29D30D34D35D39AC1AC2AC3AC5AC6AC7AX1AX10AX2AX3AX4AX5AX6GD1IC1M1M2M3M4P7S1X1X2X3X4X5

Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.

How to trust any code-health report — three questions
  1. Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 6 of 15 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
  2. Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
  3. Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.

This report answers yes to all three. That's the bar to hold any assessment to.

Tools & methods

The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.

MethodBacksVersionEvaluator
Roslyn static analysisComplexity, cohesion, coupling, dead code, API surface, layering5.3.0✓ deterministic
Native secret scannerHardcoded secrets / credentials1.0.0✓ deterministic
jscpdCode duplication✓ deterministic
Coverage (coverlet / dotnet-coverage)Line & branch coverage10.0.301✓ deterministic
NuGet / dotnetOutdated, vulnerable & deprecated dependencies10.0.301✓ deterministic
git / LibGit2SharpChurn hotspots, knowledge concentration, history2.43.0 · 0.31.0✓ deterministic
gitleaks · semgrep · trivy · checkovSecrets in history, SAST, CVEs, IaC & container, PII / GDPR1.86.0 · 0.69.3✓ deterministic
LLM (sampled · advisory)Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurementLocal LLM◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 019f156c-65b2-71cb-8237-0a35314e9bf6.

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.

  • 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.
  • D31 IaC & Container Security — 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.
  • D32 Data Compliance (PII/GDPR) — 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.
  • D33 JS/npm 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.
  • D36 Supply-chain Provenance & Signing — 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.
  • D37 Vulnerability-disclosure Policy — 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 — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.

Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared — every source file was scored.

Limitations & what we did not check

Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.

Per-dimension blind spots

For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.

  • 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 (EF migration scaffolds, *.Designer.cs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only; the generated footprint is reported separately under Solution Shape.
  • 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.
  • 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 (EF migrations, designer files, snapshots) 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.
  • 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.
  • D27 Navigability: Indirection/navigability is structural — it measures hops to follow a call, not whether that indirection buys real flexibility or just ceremony.
  • D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
  • D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
  • D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and the advisory database — a vulnerability with no published advisory, or in code not declared as a dependency, is not seen.
  • D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
  • D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
  • AC1 Text alternatives: Alt-text is detected structurally — the scan sees that an alternative EXISTS, not whether it meaningfully describes the image, and decorative-vs-missing is judged by attribute shape; runtime-injected images and a non-role=img decorative svg are out of scope. This is accessibility readiness, never a WCAG conformance claim.
  • AC2 Forms & labels: Label association is read from static markup — a label wired up at runtime (JS-set aria-labelledby, framework-injected ids) reads as missing, a present label says nothing about whether its text is correct. A known UI-library field component (e.g. a JSX <TextField>) is now checked conservatively — flagged only when it carries NO label/aria-label/aria-labelledby/id/name — but wrapper/context-labelled libraries (Chakra/Radix FormControl+FormLabel) aren't statically visible (possible false positive) and non-JSX lowercased components are still skipped. A clean result is "no unlabelled native control found", not a labelling proof.
  • AC3 Page structure: Page structure is read from the static markup tree — landmarks, headings and lang injected at runtime aren't seen, heading ORDER is checked structurally (not against the rendered visual hierarchy), and lang/title/main fire only on full documents, never partials, and the data-table check sees header-cell presence (a <th> exists), not whether each header correctly associates with its cells. Static readiness, not conformance.
  • AC5 ARIA correctness: ARIA correctness is checked against the static role/attribute shape — roles/attributes set dynamically aren't seen, a valid role says nothing about whether it matches the element's real behaviour, and required-state checks are suppressed when a JSX spread could supply them.
  • AC6 Visual & motion safety: Contrast and motion safety are PARTIAL by construction — literal colours (hex/rgb/hsl/named) in inline styles, in-repo <style> blocks, in-repo .css files, var() tokens, Tailwind neutral utilities and CSS-in-JS top-level declarations are read (same-rule/same-element colour+background pairs only); computed/runtime/theme colour, external-CDN stylesheets, CSS-in-JS dynamic (${…}) and nested-selector colours, cross-element pairs and image contrast stay out of reach, so a clean result is bounded by what the static CSS itself shows.
  • AC7 A11y enforcement: Enforcement is scored from in-repo config/CI evidence only — an a11y gate enforced in external tooling with no in-repo trace can't be credited, and a configured linter is presence, not proof the rules actually run or block a merge.
  • 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.

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: DocumentedVerifiedPrevented · 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.

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: DocumentedVerifiedPrevented · 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.

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

0 god class(es) detected.

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.md.

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: DocumentedVerifiedPrevented · 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.

D5 · Coupling8.4 / 10Strong✓ 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.

Maturity: DocumentedVerifiedPrevented · effective 8.4 / 10 · rule-coverage 100% · ceiling Prevented

5 projects, 0 dependency cycle(s), 0 unstable depended-on project(s).

Off the main sequence: Domain

What to do

  1. Resolve the 1 Off the main sequence finding(s) in Coupling. — One of this dimension's main actionable groups (1 warning-level).
  2. Enforce Coupling in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d5_recommendation.md · top locations in Appendix A, every location in findings.md.

D6 · Cohesion (LCOM4)10.0 / 10Exemplary✓ Tool-verified

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.

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

0 of 4 classes have LCOM4 above 3.

✓ On the Gold path — maintain.

Detailed fixes: d6_recommendation.md.

D9 · Test Distribution0.0 / 10Critical✓ 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.

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

No test projects found.

No tests found

What to do

  1. Resolve the 1 No tests found finding(s) in Test Distribution. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d9_recommendation.md · top locations in Appendix A, every location in findings.md.

D12 · Dependency Hygiene10.0 / 10Exemplary✓ Tool-verified

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

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

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

0 outdated, 0 vulnerable, 0 deprecated packages.

✓ On the Gold path — maintain.

Detailed fixes: d12_recommendation.md.

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

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

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

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

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

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: DocumentedVerifiedPrevented · 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.

D16 · Bus Factor7.5 / 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.

Maturity: DocumentedVerifiedPrevented · effective 7.5 / 10 · rule-coverage 100% · ceiling Documented

10 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is Infrastructure/Repositories/WatchRepository.cs.

Small-team knowledge concentration

What to do

  1. Resolve the 1 Small-team knowledge concentration 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.

D17 · Explicit Debt10.0 / 10Exemplary○ Nothing flagged

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.

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

0 deducted debt markers + 0 dead symbols across 951 LoC (0.0/KLoC) → score 10.0.

✓ On the Gold path — maintain.

Detailed fixes: d17_recommendation.md.

D18 · Solution Shape8.8 / 10Strong✓ Tool-verified

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.

Maturity: DocumentedVerifiedPrevented · effective 8.8 / 10 · rule-coverage 100% · ceiling Documented

5 projects, 13 .cs files, 951 hand-written lines of code (951 production / 0 test), 9 inter-project edges.

Thin analysable surface across projects

What to do

  1. Resolve the 1 Thin analysable surface across projects finding(s) in Solution Shape. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d18_recommendation.md · top locations in Appendix A, every location in findings.md.

D19 · Documentation Quality / 10Strong◐ Sampled · advisory

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

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

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

The single README is a solid project description for a simplified watch-management application. It states the purpose (CRUD with form validation and Bootstrap), notes it is a demo without a database, and lists features such as category/year selection, responsive design, and clean repository/view-model separation. The Getting Started section covers prerequisites and running steps, while Contributing invites issues. A strong note about production readiness for https launch settings adds value. However the README alone does not cover architecture (domain/application/infrastructure layering), a complete project structure outline, or any XML-doc coverage beyond the single .NET 9 project.

XML-doc coverage: WatchesApp.Web · ×5WatchesApp.Web/WatchesApp.Web.csproj

What to do

  1. Improve Documentation Quality — currently 8.0/10. — The single README is a solid project description for a simplified watch-management application. It states the purpose (CRUD with form validation and Bootstrap), notes it is a demo without a database, and lists features such as category/year selection, responsive design, and clean repository/view-model separation. The Getting Started section covers prerequisites and running steps, while Contributing invites issues. A strong note about production readiness for https launch settings adds value. However the README alone does not cover architecture (domain/application/infrastructure layering), a complete project structure outline, or any XML-doc coverage beyond the single .NET 9 project.

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

D21 · Naming Consistency / 10Exemplary◐ Sampled · advisory

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

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

Maturity: DocumentedVerifiedPrevented · effective Exemplary / 10 · rule-coverage 100% · ceiling Verified

0 naming inconsistencies across 110 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

D26 · Project Cohesion10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether each project is a focused, coherent unit rather than an oversized grab-bag.

Method: Project size overshoot penalties (LoC / public-type count / namespace count, 2-of-3 flag) weighted by log magnitude. Exhaustive across projects, deterministic, LLM-independent.

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

0 of 5 projects flagged as possibly oversized/incoherent.

✓ On the Gold path — maintain.

Detailed fixes: d26_recommendation.md.

D27 · Navigability8.7 / 10Strong✓ Tool-verified

What it measures: How far you must trace to follow a call — low indirection and co-located slices read easier.

Method: Call indirection (interface hops, cross-namespace calls, slice-locality scaled) over a sampled set of method invocations, size-aware baseline. Sampled; confidence discounted by symbol-resolution gaps.

Coverage: Slice locality from the first namespace segments, SAMPLED (≤400 methods) — not exhaustive.

Maturity: DocumentedVerifiedPrevented · effective 8.7 / 10 · rule-coverage 100% · ceiling Documented

90 % of calls cross a namespace and 15 % go through an interface, but 87 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: small — navigation cost is tolerated.

What to do

  1. Improve Navigability — currently 8.7/10. — 90 % of calls cross a namespace and 15 % go through an interface, but 87 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: small — navigation cost is tolerated.

Detailed fixes: d27_recommendation.md.

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

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

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

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

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

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

D29 · Static Analysis (SAST)10.0 / 10Exemplary○ Nothing flagged

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

Method: Polyglot static analysis via semgrep --config auto across the repo; severity rules (ERROR/WARNING/INFO) map to a 0-10 wide normalizer. Exhaustive, deterministic; degrades on parse failure.

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

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

semgrep found no security issues.

✓ On the Gold path — maintain.

Detailed fixes: d29_recommendation.md.

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

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

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

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

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

✓ On the Gold path — maintain.

Detailed fixes: d30_recommendation.md.

D34 · Knowledge Freshness4.9 / 10Weak✓ Tool-verified

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

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

Maturity: DocumentedVerifiedPrevented · effective 4.9 / 10 · rule-coverage 100% · ceiling Documented

4 of 10 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is Application/Services/CategoryService.cs.

Further orphaned files (smaller)

What to do

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

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

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

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

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

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

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

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

D39 · IL Efficiency9.7 / 10Exemplary✓ Tool-verified

Method: IL instruction count per method, read from the BUILT first-party assemblies via Mono.Cecil (the target is compiled on a deep run); scored on the fraction of methods whose emitted IL body exceeds the size threshold. Sees compiler-generated bloat source can't; not-applicable when the target fails to build. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 9.7 / 10 · rule-coverage 100% · ceiling Verified

1 of 64 first-party methods have an oversized IL body.

IL efficiency: 1 authored method(s) exceed the IL budgetInfrastructure/Repositories/WatchRepository.cs:34

✓ On the Gold path — maintain.

Detailed fixes: d39_recommendation.md · top locations in Appendix A, every location in findings.md.

Frontend & cross-cutting dimensions

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

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

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

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

AC2 · Forms & labels3.3 / 10Weak✓ Tool-verified

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

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

  • This control has no associated label. Add a <label for> / wrapping <label> / aria-label / aria-labelledby so assistive tech can name it. (×7) — Create.cshtml:21, Create.cshtml:27, Create.cshtml:41, …

What to do

  • Give every control a programmatic label (a <label for> / wrapping <label> / aria-label) and every button text — a placeholder is not a label.
AC3 · Page structure4.8 / 10Adequate✓ Tool-verified

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

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

  • The page declares no language, so assistive tech can't pick the right pronunciation. Add lang (e.g. lang="en"). — _Layout.cshtml:4
  • No <main> (or role="main") means no "skip to content" target and a weaker landmark map. Wrap the primary content in <main>. — _Layout.cshtml:4

What to do

  • Declare <html lang>, a document <title> and a <main> landmark, keep headings in order, leave zoom enabled, title iframes and drop meta-refresh.
AC5 · ARIA correctness10.0 / 10Exemplary○ Nothing flagged

Other · Accessibility — Whether ARIA is used correctly — valid non-abstract roles, the ARIA state a role requires, valid (non-misspelled) aria-* attribute names, in-enum values for token-typed aria-* attributes, and no aria-hidden on (or wrapping) a focusable element. Static markup readiness, not a WCAG conformance claim.

Method: Static markup-model scan: role values checked against the WAI-ARIA role set (abstract/invalid flagged), required ARIA state for a role, and aria-hidden on a focusable element. Deterministic, role/attribute level.

AC6 · Visual & motion safety10.0 / 10Exemplary○ Nothing flagged

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

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

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

Other · Accessibility — Whether accessibility is ENFORCED in the toolchain — an a11y linter (eslint-plugin-jsx-a11y / vuejs-accessibility) configured, and axe/pa11y/Lighthouse wired into tests or CI — on the Documented→Verified→Prevented ladder.

Method: Repo config/CI scan: an a11y linter (eslint-plugin-jsx-a11y / vuejs-accessibility) configured, and axe/pa11y/Lighthouse in tests or CI, graded on the Documented→Verified→Prevented rungs. Deterministic, presence/rung detection.

  • No accessibility enforcement found — no a11y linter (eslint-plugin-jsx-a11y / vuejs-accessibility) and no axe/pa11y/Lighthouse in tests or CI. Start with the linter to catch issues at author time.

What to do

  • Enforce accessibility in the toolchain: add eslint-plugin-jsx-a11y (or vuejs-accessibility), assert with jest-axe / playwright-axe in tests, then gate axe/pa11y/Lighthouse in CI.
AX1 · Captive dependencies10.0 / 10Exemplary✓ Tool-verified

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.

AX10 · Code composition4.1 / 10Weak✓ Tool-verified

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.

AX2 · Stateful singletons3.5 / 10Weak✓ Tool-verified

Other · Architecture — Whether singleton services avoid mutable shared instance state that concurrent callers would race on.

Method: Roslyn scan: singleton field mutations unguarded by lock or Interlocked, per type; syntax-based guard detection. Deterministic, traceable per field.

  • `WatchRepository` is a singleton (one shared instance) but mutates instance state outside any lock (watches; e.g. `watches` at line 95). — WatchRepository.cs:29

What to do

  • Keep singletons stateless or back their state with thread-safe types (Concurrent*/Immutable*); otherwise concurrent callers race.
AX3 · Project dependency cycles10.0 / 10Exemplary✓ Tool-verified

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.

AX4 · Dependency direction10.0 / 10Exemplary✓ Tool-verified

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.

AX5 · Architecture & structure10.0 / 10Exemplary✓ Tool-verified

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.

AX6 · Interface segregation10.0 / 10Exemplary✓ Tool-verified

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.

GD1 · Unfinished & placeholder code10.0 / 10Exemplary○ Nothing flagged

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.

IC1 · Incompleteness & stubs10.0 / 10Exemplary○ Nothing flagged

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.

Method: Roslyn syntax scan: incompleteness by code shape (constant-returning methods, async-never-await, #if false branches, skeleton types), not keyword-gated. Deterministic, code-shape heuristic.

  • A line of code has been commented out rather than removed — dead weight that rots and confuses. Delete it (version control remembers). (×5) — WatchesController.cs:33, WatchesController.cs:34, WatchesController.cs:70, …

What to do

  • Clear the softer debt: remove commented-out code and dead branches, re-enable or delete skipped tests, and replace blanket warning suppressions with targeted ones.
M1 · Documentation (README)7.3 / 10Exemplary✓ Tool-verified

Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.

Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.

What to do

  • Add a 'Testing' section to the root README — how to run the test suite.
  • Add a README to the 5 of 5 project(s) that lack one — worth up to 2 pts.
M2 · Architecture documentation2.0 / 10Weak✓ 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.
M3 · Folder & project structure4.0 / 10Adequate✓ 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.

  • Projects aren't grouped under a src/ folder — production and tooling code are mixed at the root.
  • Test projects aren't grouped under a tests/ folder — the test surface isn't separable from production code at a glance.
  • Only 2/5 projects share a common root namespace — the code's module identity is inconsistent.

What to do

  • Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.
  • Group test projects under tests/ (or test/, spec/) so the test surface is discoverable and CI can scope it.
  • Adopt a consistent root-namespace convention (a shared prefix, e.g. Acme.*); short project-file/directory names are fine as long as the RootNamespace is uniform.
M4 · Documentation accuracy8.0 / 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.

  • README advertises a RAG / ML engine, but no ML/RAG code or dependency exists

What to do

  • Reconcile the README with reality: README advertises a RAG / ML engine, but no ML/RAG code or dependency exists.
P7 · Outbound HTTP resilience3.0 / 10Weak✓ Tool-verified

Readiness · Readiness — Whether outbound HTTP calls are wrapped in resilience (retry/timeout/circuit-breaker) so a failing dependency doesn't cascade.

Method: Roslyn scan: Polly resilience markers (Retry, CircuitBreaker, Timeout) on outbound HTTP invocations. Computed per type, deterministic.

  • The app makes outbound HTTP calls but no resilience handler was detected (Polly / AddStandardResilienceHandler / circuit-breaker). A slow or failing dependency will cascade — add timeouts, retries with back-off, and a circuit breaker.

What to do

  • Add `AddStandardResilienceHandler()` (or Polly policies) to your HttpClient registrations so a flaky dependency can't take the app down.
S1 · Web-Security Posture4.5 / 10Weak✓ Tool-verified

Other · Security — Transport security, security headers, secure cookies, input validation, middleware order and crypto hygiene (presence, not runtime).

Method: Roslyn plus filesystem scan: HSTS/security headers, secure cookies, input validation, middleware order, weak crypto (MD5/SHA1/DES); HTTPS-metadata context-aware. Deterministic.

  • 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.)
  • No CookieSecurePolicy/HttpOnly/SameSite configuration found. (−1.5 on this card; skip if the app sets no cookies.)

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.
  • Set secure cookie flags — CookieSecurePolicy.Always, HttpOnly, and SameSite (Strict/Lax) on auth/session cookies. Skip only if the app sets no cookies.
X1 · Async correctness10.0 / 10Exemplary○ Nothing flagged

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.

X2 · Cancellation propagation4.0 / 10Weak✓ Tool-verified

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 0/3 async methods accept a CancellationToken, so requests can't be cancelled cleanly under load or on client disconnect. In Blazor Server circuits and other short-write hosts, omitting it can be an accepted convention — judge against your hosting model.
  • No CancellationToken parameter — work can't be cancelled cleanly on disconnect/shutdown. (×3) — WatchesController.cs:122, WatchesController.cs:148, WatchesController.cs:182

What to do

  • Thread a CancellationToken through async methods so work stops promptly on cancellation.
X3 · Exception handling10.0 / 10Exemplary○ Nothing flagged

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.

X4 · Structured logging10.0 / 10Exemplary○ Nothing flagged

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.

X5 · Nullable reference types9.8 / 10Exemplary✓ Tool-verified

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.

  • ~0.3 `!` suppressions per 1k syntax nodes — 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 `!`.

WCAG coverage — what static analysis assessed

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

DimensionWCAG 2.2 A/AA criteriaCoverage
AC1 · Text alternatives1.1.1, 1.2.2, 1.2.5Partial signal
AC2 · Forms & labels1.3.1, 3.3.2, 4.1.2Partial signal
AC3 · Page structure1.4.4, 2.2.1, 2.4.1, 2.4.2, 3.1.1, 4.1.2Partial signal
AC5 · ARIA correctness4.1.2Partial signal
AC6 · Visual & motion safety1.4.3, 2.4.7Partial — literal CSS only
AC7 · A11y enforcementenforcement — no page criterionEnforcement posture (process)

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

Reference — by lens

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

LensScoreRatingImpact
Code Health82%StrongStrongest area.
Architecture67%Adequate — gated by AX2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Maturity48%Adequate — gated by M2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness44%Adequate — gated by D9, P7Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security69%StrongSolid.
Accessibility57%Adequate — gated by AC2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
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.

  • AC4 Keyboard semantics — No interactive element found in the parsed markup — AC4 not applicable here.
  • AX7 Slice cohesion — not applicable — not a vertical-slice architecture
  • AX8 Test isolation — no test/production split to check
  • AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
  • C1 Data Protection — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
  • C2 Access Controls — This is a dotnet-new template — authorization is deferred to the application you build from it. Add [Authorize]/policies (or imperative guards) when you wire up real users; until then there are no real endpoints to protect.
  • C3 Audit Trail — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
  • C4 Data Retention — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
  • C5 Data-Subject Rights — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
  • D10 Test Quality — No tests in the analyzed solution to assess for quality.
  • D11 Test Reliability — Test reliability not included
  • 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
  • D20 ADR Quality — N/A — this repo declares itself a template / kata / sample / demo; a formal ADR log is deferred to a real application built from it.
  • D22 Internal API Consistency — No exposed public API
  • D23 Boundary Type-Coupling — At only 951 LoC the codebase is tiny and single-purpose despite five projects, so explicit boundaries are unnecessary.
  • D24 Comment Value — LLM evaluation failed
  • D25 ADR Conformance — no ADRs to check
  • D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
  • D32 Data Compliance (PII/GDPR) — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
  • D33 JS/npm Dependency Vulnerabilities — No JS/npm manifest or lockfile found outside bin/obj (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
  • D36 Supply-chain Provenance & Signing — No CI/build pipeline found (.github/workflows, .gitlab-ci.yml, azure-pipelines.yml, Jenkinsfile, .circleci); there is no build to attest provenance for.
  • D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md, .github/SECURITY.md, docs/SECURITY.md, .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 JS/npm lockfile found outside bin/obj (package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); nothing for OSV to scan.
  • D7 Architectural Integrity — no checkable ADRs and no dependency cycles — architectural integrity not assessed
  • D8 Code Coverage — No tests — template/sample
  • DM1 Domain Modelling — not run — 0/3 markers found
  • ED1 Event-Driven — not run — 0/3 markers found
  • ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
  • ES1 Event Sourcing — not run — 0/3 markers found
  • P1 CI/CD gates — This repo declares itself a template / kata / sample / demo — code meant to be read or copied, not operated. Automated CI/CD gates are deferred to the application you build from it, so their absence is not a defect here. The dimension reactivates once the repo becomes a real app.
  • P12 CI test-gate honesty — no CI workflow found
  • P2 Observability — This repo declares itself a template / kata / sample / demo — code meant to be read or copied, not operated. Structured logging, tracing/metrics and health checks are deferred to the application you build from it, so their absence is not a defect here. The dimension reactivates once the repo becomes a real app.
  • P3 Security & performance tooling — This repo declares itself a template / kata / sample / demo — code meant to be read or copied, not operated. SAST, secret/dependency scanning and performance benchmarks are deferred to the application you build from it, so their absence is not a defect here. The dimension reactivates once the repo becomes a real app.
  • P4 Deployment & Rollback — not evidenced — no deploy/rollback/approval signal in the repo; absence of evidence is not evidence of a manual release
  • P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
  • P6 Release Hygiene — not evidenced — no changelog, version stamp or semver release tag in the repo
  • P8 Schema migrations — no EF Core usage detected
  • P9 Domain vs controller coverage — no coverage report found on disk — run tests with `--collect:"XPlat Code Coverage"` (or in CI) to enable this cross-layer check
  • PF1 Benchmark discipline — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
  • PF2 Allocation hygiene — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
  • PF3 Async & latency hygiene — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
  • SC1 Supply-chain hygiene — no data
  • X6 Hand-rolled structured-format parsing — no data
  • X7 Silent fallback defaults — no data

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.

Warning — 2 finding(s)
D24 · Comment Value · LLM evaluation failed · ×1
  • LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.notable[3].suggestion | LineNumber: 0 | BytePositionInLine: 1014.
D5 · Coupling · Off the main sequence · ×1
  • Off the main sequence: Domain — Domain: abstractness 0.00, instability 0.00, distance 1.00 — zone of pain — concrete and heavily depended-on, so it's rigid to change.
Recommendation — 7 finding(s)
D11 · Test Reliability · Test reliability not included · ×1
  • Test reliability not included — No test projects found, so reliability couldn't be assessed.
D16 · Bus Factor · Small-team knowledge concentration · ×1
  • Small-team knowledge concentration — 10 file(s) are concentrated to one author — the ambient state with 2 active author(s), not 10 separate risks. The signal becomes meaningful as ownership spreads; no per-file action implied now.
D18 · Solution Shape · Thin analysable surface across projects · ×1
  • Thin analysable surface across projects — 2 project(s) carry only a thin slice of real code (e.g. `WatchesApp.Terminal` with 35 significant line(s)). The mean analysable-surface weight is 86 %, lowering Solution Shape by about 1.2 point(s). Consolidate thin projects or grow them into substantial, well-scoped assemblies.
D34 · Knowledge Freshness · Further orphaned files (smaller) · ×1
  • Further orphaned files (smaller) — 4 smaller file(s) also have no living knowledge — folded into the freshness score and metrics rather than listed individually (4 orphaned of 10 analysed files in total).
D39 · IL Efficiency · IL efficiency · ×1
  • IL efficiency: 1 authored method(s) exceed the IL budget Infrastructure/Repositories/WatchRepository.cs:34 — 1 of 64 first-party methods compile to oversized IL bodies (> 250 instructions); worst: Infrastructure.Repositories.WatchRepository..ctor @ Infrastructure/Repositories/WatchRepository.cs:34, 426 IL instructions; large bodies don't JIT-inline, which pulled this dimension to 9.7/10; splitting the hottest bodies recovers the most.
D8 · Code Coverage · No tests · ×1
  • No tests — template/sample — This repo declares itself a template / kata / sample; tests are deferred to the application built from it, so coverage is not scored here.
D9 · Test Distribution · No tests found · ×1
  • No tests found — No test projects found in the repository.
Info — 6 finding(s)
D19 · Documentation Quality · XML-doc coverage · ×5
  • XML-doc coverage: WatchesApp.Web WatchesApp.Web/WatchesApp.Web.csproj — WatchesApp.Web: 93 % XML-doc coverage (39/42).
  • XML-doc coverage: Domain Domain/Domain.csproj — Domain: 100 % XML-doc coverage (14/14).
  • XML-doc coverage: Application Application/Application.csproj — Application: 100 % XML-doc coverage (11/11).
  • XML-doc coverage: Infrastructure Infrastructure/Infrastructure.csproj — Infrastructure: 80 % XML-doc coverage (4/5).
  • XML-doc coverage: WatchesApp.Terminal WatchesApp.Console/WatchesApp.Terminal.csproj — WatchesApp.Terminal: 100 % XML-doc coverage (2/2).
D22 · Internal API Consistency · No exposed public API · ×1
  • No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.

Appendix B — Reproduction & audit trail

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

DimensionToolVersionCommandFindingsRaw output
D28 · Secrets (history)gitleaksgitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .0artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)semgrepsemgrep --config auto --json --quiet --timeout 0 --metrics off .0
D30 · Dependency Vulnerabilitiesdotnetdotnet list WatchesApp.Web.sln package --vulnerable --include-transitive --format json0artifacts/raw/dotnet-vulnerable.json
D31 · IaC & Container Securitytrivytrivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.0
D32 · Data Compliance (PII/GDPR)semgrepsemgrep: not applicable — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.0
D33 · JS/npm Dependency Vulnerabilitiestrivytrivy: not applicable — No JS/npm manifest or lockfile found outside bin/obj (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.0
D36 · Supply-chain Provenance & Signingprovenanceprovenance: not applicable — No CI/build pipeline found (.github/workflows, .gitlab-ci.yml, azure-pipelines.yml, Jenkinsfile, .circleci); there is no build to attest provenance for.0
D37 · Vulnerability-disclosure Policydisclosuredisclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md, .github/SECURITY.md, docs/SECURITY.md, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.0
D38 · OSV Dependency Vulnerabilitiesosv-scannerosv-scanner: not applicable — No JS/npm lockfile found outside bin/obj (package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); nothing for OSV to scan.0

Run 019f156c-65b2-71cb-8237-0a35314e9bf6 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Downloadable artifacts

Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.

⬇ Findings, MITRE CWE-tagged .sarif⬇ Health changelog .md