Lutzroeder/netron

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

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

Maturity: Documented → Verified → Prevented · effective 4.6 / 10 · rule-coverage 100% · ceiling Prevented

286 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was constructor at 265.

+ 212 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

1. Resolve the 6 constructor (cyclomatic 29) finding(s) in Cyclomatic Complexity — start with barracuda.js, circle.js, pytorch.js. — One of this dimension's main actionable groups (6 warning-level).
2. Resolve the 6 constructor (cyclomatic 25) finding(s) in Cyclomatic Complexity — start with mlnet.js, pytorch.js, rknn.js. — One of this dimension's main actionable groups (6 warning-level).
3. Resolve the 5 constructor (cyclomatic 41) finding(s) in Cyclomatic Complexity — start with circle.js, onnx.js, sklearn.js. — One of this dimension's main actionable groups (5 warning-level).
4. Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

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

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

Maturity: Documented → Verified → Prevented · effective 2.0 / 10 · rule-coverage 100% · ceiling Prevented

432 method(s) exceeded the cognitive complexity threshold of 15; the worst was constructor at 445.

+ 344 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

1. Resolve the 6 constructor (cognitive 16) finding(s) in Cognitive Complexity — start with dlc.js, hdf5.js, mlnet.js. — One of this dimension's main actionable groups (6 warning-level).
2. Resolve the 5 constructor (cognitive 41) finding(s) in Cognitive Complexity — start with ncnn.js, pickle.js, pytorch.js. — One of this dimension's main actionable groups (5 warning-level).
3. Resolve the 5 constructor (cognitive 22) finding(s) in Cognitive Complexity — start with coreml.js, hailo.js, hdf5.js. — One of this dimension's main actionable groups (5 warning-level).
4. Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

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

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

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

27 god class(es) detected.

What to do

1. Resolve the 27 FileTooLong finding(s) in God Classes — start with armnn-schema.js, caffe-proto.js, caffe2-proto.js. — One of this dimension's main actionable groups (27 warning-level).
2. Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

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

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

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

1 duplicated block group(s) detected.

✓ On the Gold path — maintain.

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

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: Documented → Verified → Prevented · effective 6.9 / 10 · rule-coverage 100% · ceiling Prevented

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

What to do

1. 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.

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

No test projects 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.

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

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

Maturity: Documented → Verified → Prevented · effective 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.

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

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

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

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

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

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

Maturity: Documented → Verified → Prevented · effective 8.0 / 10 · rule-coverage 100% · ceiling Documented

Top hotspots: source/view.js (11×99=1089); source/gguf.js (9×87=783); tools/mlir-script.js (7×106=742)

What to do

1. Resolve the 10 Hotspot finding(s) in Churn × Complexity Hotspots — start with base.js, gguf.js, litertlm-proto.js. — One of this dimension's main actionable groups (10 warning-level).

Detailed fixes: d15_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.

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

The single README gives a strong visual presence (the dual GitHub logos and a screenshot link) plus clear install instructions for browser, macOS, Linux, Windows, and Python. It lists the supported model formats with links to sample files and the netron app. The document is well-structured and visually rich but lacks any architecture or usage documentation beyond installation; it is an excellent README for a viewer tool.

What to do

1. Improve Documentation Quality — currently 6.0/10. — The single README gives a strong visual presence (the dual GitHub logos and a screenshot link) plus clear install instructions for browser, macOS, Linux, Windows, and Python. It lists the supported model formats with links to sample files and the netron app. The document is well-structured and visually rich but lacks any architecture or usage documentation beyond installation; it is an excellent README for a viewer tool.

Detailed fixes: d19_recommendation.md.

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

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

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

0 naming inconsistencies across 0 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

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

No projects to assess.

✓ On the Gold path — maintain.

Detailed fixes: d26_recommendation.md.

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

Too little code to assess navigability.

✓ On the Gold path — maintain.

Detailed fixes: d27_recommendation.md.

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

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

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

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

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

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

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

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

Maturity: Documented → Verified → Prevented · effective 1.0 / 10 · rule-coverage 100% · ceiling Documented

14 finding(s): 0 critical, 13 high, 1 medium, 0 low.

What to do

1. Resolve the 13 High finding(s) in Static Analysis (SAST) — start with build.yml (7), publish.yml (3), package.js (2). — One of this dimension's main actionable groups (13 issue-level).
2. Resolve the 1 Medium finding(s) in Static Analysis (SAST) — start with nnabla_script.py. — One of this dimension's main actionable groups (1 warning-level).

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

What it measures: Whether JavaScript/npm dependencies have known published vulnerabilities (CVEs) — the npm ecosystem's biggest risk.

Method: JS/npm CVE scan via trivy fs --scanners vuln over JS manifests (package.json/yarn.lock/pnpm-lock/bun.lockb); 0-10 tight normalizer. NotApplicable without JS manifests. Exhaustive, deterministic.

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

No known-vulnerable JS/npm dependencies.

✓ On the Gold path — maintain.

Detailed fixes: d33_recommendation.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.

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

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

✓ On the Gold path — maintain.

Detailed fixes: d34_recommendation.md.

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

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

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

Maturity: Documented → Verified → Prevented · effective 8.9 / 10 · rule-coverage 100% · ceiling Documented

Strongest change-coupling: mlir.js↔mlir-script.js 94%; dlc-schema.js↔dlc.js 70%; grapher.js↔view.js 66%

What to do

1. Resolve the 10 Change coupling finding(s) in Change Coupling — start with megengine-schema.js (4), onnx-schema.js (2), caffe-proto.js. — One of this dimension's main actionable groups (10 warning-level).

Detailed fixes: d35_recommendation.md · top locations in Appendix A, every location in findings.md.

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

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

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

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

What to do

1. Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
2. Resolve the 1 No build provenance finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 recommendation-level).
3. Resolve the 1 No artifact signing 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.

What it measures: Whether dependencies have known published vulnerabilities (CVEs) per the OSV database — npm and other lockfile ecosystems, parsed natively. Complements D33 (npm via trivy) and D30 (.NET via dotnet).

Method: npm/multi-ecosystem CVE scan via osv-scanner (queries the osv.dev database + parses lockfiles natively: package-lock/yarn/pnpm/bun); severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer (8.0). NotApplicable without a JS lockfile. Additive to D33 (trivy fs); exhaustive + deterministic, DB kept fresh.

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

28 finding(s): 1 critical, 15 high, 10 medium, 2 low.

What to do

1. Resolve the 15 High CVE finding(s) in OSV Dependency Vulnerabilities — start with package-lock.json (15). — One of this dimension's main actionable groups (15 issue-level).
2. Resolve the 10 Medium CVE finding(s) in OSV Dependency Vulnerabilities — start with package-lock.json (10). — One of this dimension's main actionable groups (10 warning-level).
3. Resolve the 1 Critical CVE finding(s) in OSV Dependency Vulnerabilities — start with package-lock.json. — One of this dimension's main actionable groups (1 issue-level).

Detailed fixes: d38_recommendation.md · top locations in Appendix A, every location in findings.md.

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.

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 an 'Architecture' / 'How it works' section to the root README — the high-level shape.

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.
• No C4/PlantUML/Mermaid diagram or architecture.md — the high-level shape isn't documented.

What to do

• Start an ADR log (docs/adr/) recording significant decisions and their rationale.
• Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.

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.

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.

Readiness · Readiness — Whether an automated pipeline builds and tests every change.

Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.

• A CI pipeline exists and the word "test" appears, but no explicit test-runner invocation (dotnet test / npm test / pytest / a test job) was matched — the gate may be running tests, or "test" may be incidental (a path, "latest", a reporter). Make the test step explicit so the gate is unambiguous.

What to do

• Run the test suite in CI via an explicit runner step (e.g. `dotnet test`) and gate merges on it.

Readiness · Readiness — Whether the code is diagnosable in production — structured logging, tracing/metrics, health checks.

Method: Filesystem/Roslyn scan: structured-logging frameworks (Serilog, NLog), OpenTelemetry, and health-check endpoint patterns. Exhaustive, deterministic.

• No ILogger/Serilog usage found — production issues will be hard to diagnose.

What to do

• Adopt ILogger (or Serilog) and log at meaningful points across the projects.
• 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/Roslyn scan: CodeQL, Dependabot, secret-scanning, and BenchmarkDotNet presence in pipelines and projects. Exhaustive, deterministic.

What to do

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

React / JS · Code Health — How much of the frontend is typed TypeScript vs untyped JavaScript.

Method: Frontend file inventory: the share of typed TypeScript vs untyped JavaScript across the source tree. Deterministic, exhaustive over frontend files.

• 0 typed · 144 plain JS

What to do

• Migrate the remaining .js/.jsx files to TypeScript.

React / JS · Code Health — Copy-pasted token-identical blocks across the frontend (the D4 clone algorithm over JS/TS tokens, D-386).

Method: Copy-pasted token-identical blocks across the frontend (the D4 clone algorithm run over JS/TS tokens). Deterministic.

• eslint.config.js:25 · eslint.config.js:56 · eslint.config.js:81 · eslint.config.js:96 — eslint.config.js:25
• source/caffe-proto.js:4005 · source/caffe-proto.js:4197 — caffe-proto.js:4005
• eslint.config.js:191 · eslint.config.js:208 — eslint.config.js:191
• source/caffe-proto.js:173 · source/caffe2-proto.js:495 — caffe-proto.js:173
• source/cntk-proto.js:135 · source/litertlm-proto.js:839 — cntk-proto.js:135
• source/darknet.js:871 · source/jax.js:80 — darknet.js:871
• source/dl4j.js:384 · source/gguf.js:665 — dl4j.js:384
• source/mlir.js:3437 · source/mlir.js:3520 — mlir.js:3437

What to do

• Extract the duplicated blocks into shared functions/components.

React / JS · Code Health — Per-function cyclomatic/cognitive complexity from the token-level function scanner (D-386) — real branching, not a regex heuristic.

Method: Per-function cyclomatic/cognitive complexity from a token-level function scanner (real branching, not a regex heuristic), computed over every frontend function. Deterministic.

• Branch-heavy code is where defects cluster — extract decisions into smaller functions. (×8) — mlir.js:9482, ncnn.js:285, pytorch.js:324, …

What to do

• Break down the listed branch-heavy functions; aim P95 cyclomatic ≤ 5.

React / JS · Code Health — How many components/modules exceed the large-file threshold.

Method: Components/modules exceeding the large-file threshold, counted exhaustively across the frontend source tree. Deterministic.

• 73 file(s) over 400 lines

What to do

• Split the oversized components into smaller, focused ones.

React / JS · Readiness — Static test reachability (D-386): the share of production files reachable from any test via the import graph — measured without running anything.

Method: Static test reachability: the share of production files reachable from any test via the import graph — measured without running anything. Deterministic.

• No test imports this module directly or transitively — its behavior is unverified. (×8) — mlir.js, tf-proto.js, nnabla-proto.js, …

What to do

• Add tests that import the unreached modules (directly or through their public entry).

React / JS · Readiness — How outdated the npm dependencies are (a maturity signal). JS/npm CVEs are scored separately in D33 (JS/npm Dependency Vulnerabilities).

Method: npm dependency staleness from manifest/registry metadata (a maturity signal; JS/npm CVEs are scored separately in D33). Deterministic.

What to do

• Bump outdated dependencies to current versions to limit upgrade debt.

React / JS · Readiness — Whether the project wires up test, lint and typecheck — detected from each package.json script's COMMAND (eslint / tsc / vitest / jest / playwright), not just its name, and corroborated against CI-workflow invocations so a tool run only in CI still counts.

Method: package.json scanned for test/lint/typecheck script wiring. Deterministic presence check.

• test ✓ · lint ✓ · typecheck ✗

What to do

• Add the missing tooling (eslint, tsc) as package.json scripts and run them in CI.

React / JS · Code Health — Files unreachable from every application/tooling/test entry point, and exports nothing imports (module-graph reachability, D-386).

Method: Dead code: files unreachable from every application/tooling/test entry point plus exports nothing imports, via module-graph reachability. Deterministic, exhaustive over the import graph.

• Unreachable from the 3 application, 2 tooling and 7 test entry point(s) detected in this repo. Gate removals on your build/type-check — an undetected custom entry would make these reachable.
• no import path from any entry point (3 application, 2 tooling, 7 test roots considered) (×7) — mlir.js, tf-proto.js, nnabla-proto.js, …

What to do

• Delete the dead files and unused exports — every line is maintenance cost and rebuild-estimate inflation with zero runtime value.

React / JS · Readiness — npm dependency truthfulness (D-386): unused dependencies, imports not declared anywhere, and type-/test-only packages shipped as production deps.

Method: npm dependency truthfulness: unused dependencies, imports declared nowhere, and type-/test-only packages shipped as production deps — from the manifest + import graph. Deterministic.

• Declared in the root/package.json but never imported anywhere in that package or its workspace members — dead weight and attack surface. Verify against build tooling before removing. (×2)

What to do

• Remove unused dependencies, declare unlisted imports explicitly, and demote type-/test-only packages to devDependencies.

React / JS · Architecture — Import cycles in the module graph (D-386) — files that can only be understood and changed together.

Method: Import cycles in the module graph, detected exhaustively over JS/TS imports (the same cycle detection as the .NET coupling dimension). Deterministic.

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.

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.