Public report — basic-computer-games, published 5 Aug 2026.
Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version;
ask the repo owner for the full report.
106findings with an exact file:lineof 116 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
49/108dimensions across the health lenses27230 LoC · 2 projects — wide & deep
Executive summary
Read through the Production lens — the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.
coding-horror/basic-computer-games carries serious gaps (46%). Several issues below can materially affect correctness, security, or the cost of changing it — and propagate to everything that depends on it.
It is strongest in Architecture (94%) — the structure is clean and changes stay contained.
The area that most needs attention is Maturity (40%) — onboarding is slow — key decisions and the architecture aren't written down, so contributors have to reverse-engineer the intent. Code Health (42%) is the next concern — changes there are slower and more error-prone.
Leadership focus, highest impact first: 3 Largest orphaned file finding(s) (Knowledge Freshness); Record significant decisions one document per decision (Architecture documentation); TypeScript for the frontend (Type Safety).
For scale: Medium (~27,230 production lines); rebuilding it from scratch would take roughly ~0.3 person-years (~1 engineer). Approximate, ±~30%.
It builds on a genuinely strong Architecture foundation (94%); the priorities above are the highest-leverage way to bring the rest up to that level.
How the score is built — each lens's share of the headlineWidth is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
~163 LoC unreachable (2 file(s)) — that slice of this estimate buys code with zero runtime value; deleting it is the cheapest win in this report (the R7 card lists every file)
This codebase represents roughly ~0.3 person-years of build effort (about ~€43,000 to rebuild). Its weakest lens is Maturity at 40% — the part of that asset most exposed by the findings below.
How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.0) — library/CLI, high decision density × a 0.7× quality factor, at €60–95/h; indicative, ±~30% · size measured directly from source. 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 3 Largest orphaned file finding(s) in Knowledge Freshness — start with Qubic.cs, Program.cs, Game.cs.
Value concentrated against a weak lens · High · Value at risk
This is a Medium asset (~0.3 person-years to rebuild), and its weakest lens is Maturity at 40%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
→ Direct remediation budget at Maturity first — highest risk-reduction per euro on an asset this size.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Resolve the 3 Largest orphaned file finding(s) in Knowledge Freshness — start with Qubic.cs, Program.cs, Game.cs. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Resolve the 3 Largest orphaned file finding(s) in Knowledge Freshness — start with Qubic.cs, Program.cs, Game.cs.
Architecture — bounded-context dependency graph
Each box is a bounded context (its layer projects grouped, or a project count when large); arrows show dependencies between contexts. A shared kernel is where many arrows converge.
Architecture — module dependency matrix
211 modules, 68 dependencies — 1 dependency cycle, shown as the red cell(s) above the diagonal. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows — an unusual but cycle-free dependency sits below the diagonal like any other.)
At a glance — Code Health · 42% · Weak · gated by R1, R2
Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).
OWASP category
Findings
Severity
A03:2021 — Injection
50
High / Critical
A04:2021 — Insecure Design
21
High / Critical
A06:2021 — Vulnerable & Outdated Components
15
High / Critical
Roadmap
First, resolve the three largest orphaned files in the knowledge base to improve information freshness. Next, establish a structured architecture decision record system to document significant design choices and their consequences. Then, introduce TypeScript type checking to the frontend build process, prioritizing the highest-traffic modules to enhance type safety. Finally, reduce cyclomatic complexity in branch-heavy functions to improve code maintainability and address the lack of architectural documentation.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Resolve the 3 Largest orphaned file finding(s) in Knowledge Freshness — start with Qubic.cs, Program.cs, Game.cs.
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Adopt TypeScript for the frontend: add a typecheck step to the build, then either type-check the existing JavaScript in place (`checkJs`/JSDoc types) or convert the highest-traffic modules first — no file is typed today, so this is an adoption, not a clean-up.
Data Compliance (PII/GDPR): High: watchdog-sensitive-personal-data-in-log
05_Bagels/java/Bagels.java
7.2
Mixed
Data Compliance (PII/GDPR): High: watchdog-sensitive-personal-data-in-log
17_Bullfight/csharp/View.cs
7.2
Mixed
Data Compliance (PII/GDPR): High: watchdog-sensitive-personal-data-in-log
17_Bullfight/java/Bullfight.java
7.2
Mixed
Data Compliance (PII/GDPR): High: watchdog-sensitive-personal-data-in-log
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
Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.
How to trust any code-health report — three questions
Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 106 of 116 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.
This report answers yes to all three. That's the bar to hold any assessment to.
Tools & methods
The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.
D19 Documentation Quality — LLM provider failed — The model provider returned an unusable result, so this LLM-assisted dimension fell back to a measurement gap (confidence 0) rather than a penalty. Re-run with a reachable provider to score it.
Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared — every source file was scored.
Limitations & what we did not check
Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.
Per-dimension blind spots
For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.
D4 Code Duplication: Duplication is token-similarity (jscpd) — it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
D5 Coupling: Coupling is measured between projects/assemblies — runtime coupling through DI, reflection, messaging or shared databases is invisible to a static reference graph.
D8 Code Coverage: Coverage is measured by building and running the test suite inside Watchdog's isolated image — the target repo is never modified, and nothing on your systems runs. So coverage exists only when the suite builds and runs within the inline time budget; one that needs external services, can't build, or exceeds the budget yields no coverage (D8 then degrades to not-measured, not a low score). Line coverage also says nothing about assertion quality.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D10 Test Quality: Assertion density is structural — it cannot tell a meaningful behavioural assertion from a trivial one, only that an assertion is present.
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").
D14 License Compliance: License compatibility is checked against declared package metadata and a policy — mislabelled or missing license metadata, and obligations that depend on how you distribute, are not resolved here.
D17 Explicit Debt: Acknowledged-debt signals (TODO/FIXME, suppressions, dead code) are textual — undocumented debt that nobody marked, and debt that lives in design rather than annotations, is invisible. Committed machine-written code (scaffolded migrations, designer/codegen output, generated stubs) is excluded — it is never the team's dead code to delete.
D20 ADR Quality: ADR quality is an LLM read of the decision records present — it cannot know about decisions made and never recorded, and its verdict is sampled and advisory.
D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
D24 Comment Value: Comment value (WHY vs WHAT) is an LLM judgement over a bounded sample — it is advisory and cannot weigh a comment against the precise code change it was written to explain.
D26 Project Cohesion: Project focus is sized from members/namespaces per project — a project that is broad by deliberate design reads the same as one that has sprawled.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
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.
D32 Data Compliance (PII/GDPR): PII/GDPR signals are heuristic pattern matches in code — they flag likely handling concerns, not legal compliance, and cannot trace where data actually flows at runtime.
D33 JS/npm Dependency Vulnerabilities: JS/npm CVE matching reads package manifests and lockfiles — risk from how a dependency is used, and advisories not yet published, fall outside this scan.
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
AX10 Code composition: Role is inferred from namespace/folder convention, not semantics — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
AX9 CQS / query purity: Handlers are found by interface/name convention — a query handler using neither is not seen. Mutation is a resolved write/publish invocation (SaveChanges/repository/bus), so a write hidden behind a hand-rolled wrapper, reflection, or a string-keyed service locator resolves to a non-persistence type and isn't flagged; it detects that a query writes state, not whether the write is a legitimate read-side cache update. Clean means "no resolved write/publish in a query body", not a proof of CQS purity.
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 (4): D20, D21, D24, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score (documentation, ADR quality, naming, comment value, onboarding) — D25 sets the ADR-conformance fraction over sampled code, D22 judges API accuracy over a sample. These are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.
What it measures: 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.
+ 6 more group(s) — more in Appendix A; the complete list is findings.md.
✓ On the Gold path — maintain.
Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D5 · Coupling10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.
Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.
Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type — the population is all types, not a name convention.
What it measures: How much of the code is actually exercised by tests.
Method: Coverage from coverlet runs or committed reports (Cobertura/OpenCover/lcov), computed per-file with structured exclusions for generated, trivial, and glue code. When the suite can't be built/run in-image AND no report is committed, coverage is reported NOT-MEASURED (excluded from the score) with the precondition to make it measurable — never a LoC-ratio proxy folded in as if measured. Deterministic.
D9 · Test Distribution10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.
Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.
37 test methods: 37 unit, 0 integration, 0 BDD, 0 e2e.
Tests co-located / outside the solution
✓ On the Gold path — maintain.
Detailed fixes: d9_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D10 · Test Quality10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether the tests truly assert behaviour rather than just running the code.
Method: Per-test assertions, skips, and mock references analyzed via Roslyn; structured skip-reason tags (BUG:/ENV:) separate documented deferrals from debt. Deterministic.
What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.
Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.
What it measures: Whether the licenses of third-party packages are compatible with your policy.
Method: Third-party package licenses resolved from declared package metadata and checked against the configured policy (allow/deny/copyleft). Deterministic; clean = no incompatible license found at metadata depth.
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.
What it measures: Whether architecture decisions are recorded well (context, decision, consequences).
Method: Per-ADR judgment by language model at low temperature with two-pass stability; confidence is share of ADRs evaluated; enforcement-field presence detected deterministically. Advisory.
What it measures: Whether names — types, methods, variables — are clear and consistent.
Method: Judged by language model at low temperature (0.0-0.1) on a deterministic random symbol sample (fixed size, not exhaustive), with disclosed confidence band. Advisory, sampled.
0 naming inconsistencies across 200 sampled symbols.
✓ On the Gold path — maintain.
Detailed fixes: d21_recommendation.md.
Do you agree with this assessment?
D24 · Comment Value / 10Adequate◐ Sampled · advisory
What it measures: Whether comments are worth it — explaining WHY (valuable) rather than WHAT (redundant).
Method: Judged by language model at low temperature (0.0-0.1) on deterministically sampled inline comments with surrounding code; findings verified back to sampled comments by substring match. Advisory, sampled.
Resolve the 1 redundant comment finding(s) in Comment Value — start with IRandomExtensions.cs. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d24_recommendation.md · top locations in Appendix A, every location in findings.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.
What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.
Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.
Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).
High: github-actions-mutable-action-tag · ×16.github/workflows/check-python.yml:14detected by semgrep finding
Medium: math-random-used · ×3400_Alternate_Languages/01_Acey_Ducey/go/main.go:6detected by semgrep finding
What to do
Resolve the 34 Medium finding(s) in Static Analysis (SAST) — start with Basketball.java (20), main.go (14). — One of this dimension's main actionable groups (34 warning-level).
Resolve the 16 High finding(s) in Static Analysis (SAST) — start with chief.c (4), cube.c (4), file-size.yml (3). — One of this dimension's main actionable groups (16 issue-level).
Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.
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.
No known-vulnerable NuGet packages (direct or transitive).
✓ On the Gold path — maintain.
Detailed fixes: d30_recommendation.md.
Do you agree with this assessment?
D32 · Data Compliance (PII/GDPR)0.1 / 10Critical✓ Tool-verified
What it measures: Likely personal-data (PII / GDPR) handling concerns — logging or storing data without safeguards.
Method: Heuristic PII/GDPR pattern scan via semgrep across the repo, using Watchdog's own ruleset (personal data reaching log/console sinks, URLs and query strings, or unprotected browser storage); matches map to severity and a 0-10 wide normalizer. NotApplicable when the scan runs and detects no PII/GDPR surface (no unearned 10); reported LOUDLY as a measurement gap, never as not-applicable, if the ruleset is missing from the analyzer image. Exhaustive, advisory-leaning; degrades on parse failure.
High: watchdog-sensitive-personal-data-in-log · ×1100_Alternate_Languages/05_Bagels/go/main.go:41detected by semgrep finding
Medium: watchdog-personal-data-in-log · ×1095_Weekday/csharp/Program.cs:98detected by semgrep finding
What to do
Resolve the 11 High finding(s) in Data Compliance (PII/GDPR) — start with View.cs (3), ConsoleHurkleView.cs (2), main.go. — One of this dimension's main actionable groups (11 issue-level).
Resolve the 10 Medium finding(s) in Data Compliance (PII/GDPR) — start with Program.cs (4), weekday.js (4), Weekday.java. — One of this dimension's main actionable groups (10 warning-level).
Detailed fixes: d32_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.
Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.
117 of 117 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is 88_3-D_Tic-Tac-Toe/csharp/Qubic.cs.
Largest orphaned file · ×388_3-D_Tic-Tac-Toe/csharp/Qubic.cs
Dormant codebase
What to do
Resolve the 3 Largest orphaned file finding(s) in Knowledge Freshness — start with Qubic.cs, Program.cs, Game.cs. — One of this dimension's main actionable groups (3 recommendation-level).
Resolve the 1 Dormant codebase 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.
What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.
Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.
Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling; coupling through a build step, config, or non-source file isn't seen.
What it measures: Whether dependencies have known published vulnerabilities (CVEs) per the OSV database — read natively from whatever lockfile the repository ships (Cargo, npm, Go, Python, Maven, RubyGems, …). D33 and D30 add ecosystem-specific scanners on top for npm and .NET.
Method: Multi-ecosystem dependency-CVE scan via osv-scanner --recursive (queries the osv.dev database + parses lockfiles natively across ecosystems: npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven/Gradle pom.xml/gradle.lockfile, PyPI requirements.txt/poetry.lock/Pipfile.lock, Composer composer.lock, RubyGems Gemfile.lock, Hex mix.lock, pub pubspec.lock, Swift Package.resolved); severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer (8.0). NotApplicable only when the repo declares no supported non-.NET dependency lockfile (a NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain); coverage needs a resolved lockfile. Additive to D33 (trivy fs); exhaustive + deterministic, DB kept fresh.
High CVE: [GHSA redacted] · ×600_Alternate_Languages/01_Acey_Ducey/elm/package-lock.jsondetected by osv-scanner finding
High vulnerability: [GHSA redacted]00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.jsondetected by osv-scanner finding
Medium advisory (unsound): RUSTSEC-2026-0097 · ×501_Acey_Ducey/rust/Cargo.lockdetected by osv-scanner finding
Medium CVE: [GHSA redacted]00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.jsondetected by osv-scanner finding
Low CVE: [GHSA redacted] · ×200_Alternate_Languages/01_Acey_Ducey/elm/package-lock.jsondetected by osv-scanner finding
What to do
Resolve the 6 High CVE finding(s) in OSV Dependency Vulnerabilities — start with package-lock.json (6). — One of this dimension's main actionable groups (6 issue-level).
Resolve the 1 High vulnerability finding(s) in OSV Dependency Vulnerabilities — start with package-lock.json. — One of this dimension's main actionable groups (1 issue-level).
Resolve the 5 Medium advisory (unsound) finding(s) in OSV Dependency Vulnerabilities — start with Cargo.lock (5). — One of this dimension's main actionable groups (5 warning-level).
Detailed fixes: d38_recommendation.md · top locations in Appendix A, every location in findings.md.
Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified.
Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.
Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.
What to do
The domain core is a small share of production code — check that business logic isn't leaking into the application/infrastructure layers (a thin domain is the anemic-domain smell).
Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).
Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.
Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.
Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.
Other · Architecture — Whether the codebase has a recognisable, scale-appropriate structure (a named architectural style, or modular enough for its size) rather than being an ad-hoc ball of mud.
Method: Roslyn plus csproj analysis: architecture style detection (DDD, clean, vertical-slice, CQRS) and structure fitness for repo size. Deterministic.
Other · Architecture — Whether interfaces stay focused rather than fat — the Interface-Segregation principle (SOLID 'I').
Method: Roslyn scan: public interface member counts; fat-interface threshold (over 15 members) flagged per type. Deterministic, type-level.
`IReadWrite` declares 17 members. A wide interface forces every implementer and caller to depend on methods they don't use (the Interface-Segregation 'I' in SOLID). Split it into focused role-interfaces. — IReadWrite.cs:8
What to do
Split fat interfaces into focused role-interfaces so clients depend only on what they use.
Do you agree with this assessment?
AX8 · Test isolation10.0 / 10Exemplary✓ Tool-verified
Other · Architecture — Whether production projects stay free of references to test projects — tests may depend on production, never the reverse.
Method: Csproj graph: each production project checked for references to test projects (identified by test-framework presence, not name). Zero violations is clean. Deterministic.
Other · Architecture — Whether read (query) handlers stay side-effect-free — a query that writes persistent state or raises events breaks CQS and makes reads unsafe to retry, cache, or route to a read replica.
Method: Roslyn scan: CQRS handlers classified query-vs-command by interface (IQueryHandler/ICommandHandler/IRequestHandler<TQuery,TResult>) and name convention (*Query/Get*/Find* vs *Command); each query handler's body checked for persistent-state writes (SaveChanges/repository Add-Update) or event publishes by resolved invocation. Deterministic, type-level, exhaustive over the detected handlers.
Coverage: Population: CQRS handlers identified by IQueryHandler/ICommandHandler/IRequestHandler interface + *Query/Get*/Find*/*Command NAME convention; query purity then checked exhaustively within that set — a query handler using neither convention is invisible, and mutation is a resolved persistence/publish CALL, not full dataflow.
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.
Other · Code Health — Unfinished work detected by code SHAPE, not keywords: members that only throw a "not implemented" exception, methods that take inputs and return a constant, async methods that never await, dead `if (false)` / `#if false` branches, and skeleton types most of whose members are holes. A real, objective slice of technical debt.
Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.
Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.
What to do
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.
Add a 'Testing' section to the root README — how to run the test suite.
Add a README to the 1 of 2 project(s) that lack one — worth up to 1 pts.
Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.
Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.
No Architecture Decision Records found — no conventional ADR directory, no `NNNN-title.md` documents and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
What to do
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
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.
Production code isn't grouped under a src/ folder — it's spread across several top-level directories, so there's no one place that says 'this is the product'.
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.
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 SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.
No static application security testing detected. For this repository's stack, add CodeQL's csharp pack (it analyses VB.NET too), or a security analyzer package (or `semgrep --config=auto`, which runs on any language) as a CI step.
What to do
Add a SAST step to CI running what this repository's stack ships: CodeQL's csharp pack (it analyses VB.NET too), or a security analyzer package — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing.
Enable Dependabot/Renovate or a dependency-review gate.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
Do you agree with this assessment?
R1 · Type Safety0.0 / 10Critical✓ Tool-verified
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 · 108 plain JS — the untyped files are 00_Common/javascript/WebTerminal/HtmlTerminal.js, 00_Common/javascript/WebTerminal/terminal_tests.mjs, 00_Common/javascript/common.mjs, 00_Utilities/build-index.js, 00_Utilities/find-missing-implementations.js, 00_Utilities/find-unimplemented.js (+102 more).
What to do
Adopt TypeScript for the frontend: add a typecheck step to the build, then either type-check the existing JavaScript in place (`checkJs`/JSDoc types) or convert the highest-traffic modules first — no file is typed today, so this is an adoption, not a clean-up.
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.
71_Poker/javascript/poker.js:644 · 71_Poker/javascript/poker.js:732 — all 2 copies are in the same file, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — poker.js:644
17_Bullfight/javascript/bullfight.js:30 · 59_Lunar_LEM_Rocket/javascript/lunar.js:30 · 60_Mastermind/javascript/mastermind.js:30 — the 3 copies are spread across 3 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — bullfight.js:30
39_Golf/javascript/golf.js:66 · 70_Poetry/javascript/poetry.js:63 · 70_Poetry/javascript/poetry.js:122 — the 3 copies are spread across 2 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — golf.js:66
63_Name/javascript/name.js:31 · 64_Nicomachus/javascript/nicomachus.js:31 — the 2 copies are spread across 2 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — name.js:31
08_Batnum/javascript/batnum.js:30 · 11_Bombardment/javascript/bombardment.js:30 · 12_Bombs_Away/javascript/bombsaway.js:30 · 13_Bounce/javascript/bounce.js:30 · +25 more site(s) not listed — the 29 copies are spread across 29 directories, so the shared home is a decision rather than an obvious spot: check first whether one of them already owns this behaviour, and otherwise put the extracted module somewhere all of the sites already reach rather than making one of them depend on another. — batnum.js:30
23_Checkers/javascript/checkers.js:29 · 29_Craps/javascript/craps.js:29 · 40_Gomoko/javascript/gomoko.js:29 · 41_Guess/javascript/guess.js:29 · +1 more site(s) not listed — the 5 copies are spread across 5 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — checkers.js:29
26_Chomp/javascript/chomp.js:30 · 39_Golf/javascript/golf.js:30 — the 2 copies are spread across 2 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — chomp.js:30
36_Flip_Flop/javascript/flipflop.js:31 · 62_Mugwump/javascript/mugwump.js:31 · 67_One_Check/javascript/onecheck.js:31 · 68_Orbit/javascript/orbit.js:31 · +1 more site(s) not listed — the 5 copies are spread across 5 files, and the CITED SPAN is not a self-contained block — it runs from inside one construct into the next (the tail of a branch plus the head of the following one, a run of switch arms, the end of a declaration plus the list that follows it) rather than covering a whole unit. So do not lift these lines literally: no call can be substituted for a half-open construct. Extract the enclosing repeated UNIT instead — the whole function, component or branch these lines sit in — and where the repetition IS the construct (a run of switch arms, a stack of near-identical declarations) replace it with one table or registry looked up by key rather than a helper each arm calls. The copies still drift apart the first time only one of them is edited, which is why this is reported. — flipflop.js:31
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) — salvo.js:89, ftball.js:99, battle.js:53, …
What to do
Break down the listed branch-heavy functions; aim P95 cyclomatic ≤ 5.
Do you agree with this assessment?
R3 · Large Files6.7 / 10Adequate✓ Tool-verified
React / JS · Code Health — How many source files exceed the large-file threshold.
Method: Components/modules exceeding the large-file threshold, counted exhaustively across the frontend source tree. Deterministic.
9 file(s) over 400 lines (counted as significant lines — blank lines excluded — over production source only, tests excluded), largest first: 84_Super_Star_Trek/javascript/superstartrek.mjs (1506), 71_Poker/javascript/poker.js (727), 10_Blackjack/javascript/blackjack.js (521), 27_Civil_War/javascript/civilwar.js (520), 37_Football/javascript/ftball.js (494), 77_Salvo/javascript/salvo.js (492) (+3 more).
What to do
Split each oversized file along the responsibilities already in it, into smaller focused modules in the same package.
Do you agree with this assessment?
R4 · Test Coverage0.0 / 10Critical✓ Tool-verified
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.
0% of 102 production file(s) reachable from 0 test file(s) via the import graph
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.
Do you agree with this assessment?
R6 · Tooling10.0 / 10Exemplary✓ Tool-verified
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.
Do you agree with this assessment?
R7 · Dead Code9.7 / 10Exemplary✓ Tool-verified
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 100 application, 6 tooling and 0 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 (100 application, 6 tooling, 0 test roots considered) (×2) — find-missing-implementations.js, find-unimplemented.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.
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.
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.
1/2 NRT-eligible project(s) enable <Nullable>enable</Nullable> (projects targeting a pre-C#-8 framework are excluded — NRTs aren't available there). NRTs catch a whole class of null-deref bugs at compile time.
What to do
Enable <Nullable>enable</Nullable> across all projects and resolve warnings rather than suppressing with `!`.
Do you agree with this assessment?
Reference — by lens
The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.
Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Not included — 59 check(s) not relevant to this codebase
These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.
AC1 Text alternatives — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
AC2 Forms & labels — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
AC3 Page structure — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
AC4 Keyboard semantics — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
AC5 ARIA correctness — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
AC6 Visual & motion safety — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
AC7 A11y enforcement — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
AX1 Captive dependencies — no DI registrations detected
AX2 Stateful singletons — no singleton implementations detected
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
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 — No access-control surface detected in the analyzed source — no web/app surface to authorize (no HTTP API or web-UI project) and no authorization code at all (no [Authorize]/policies, no imperative guard methods). Access control is therefore N/A here — this is a library/CLI, which is authorized by its CALLER, not by itself. If this codebase grows request handlers, the dimension reactivates and a default-deny posture is expected then.
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.
D1 Cyclomatic Complexity — Most of this repository's production source (.cs, .go, .java, .kt, .rb, .rs, .swift, .vb) had no cyclomatic complexity computed for it, so cyclomatic complexity was not measured — whatever else this pass did read is not this repository's complexity. Not scored: no method bodies were exposed for those file kinds by any language model this pass could load. This is a gap in the analysis run, not a finding about this repository.
D11 Test Reliability — Test reliability not included
D12 Dependency Hygiene — Dependency hygiene not measured — no packages were read
D15 Churn × Complexity Hotspots — complexity unreadable for .cs, .go, .java, .kt, .rb, .rs, .swift, .vb — churn × complexity hotspots could not be measured
D16 Bus Factor — dormant codebase — no living knowledge left to concentrate
D18 Solution Shape — D18 scores the shape of a C#/VB .NET solution, but this repository's production source is mostly .exs, .go, .java, .kt, .py, .rb, .rs, .swift, which the C#/VB workspace does not load — the projects that loaded are an immaterial minority, so solution shape was not assessed for this repository. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D19 Documentation Quality — LLM evaluation failed
D2 Cognitive Complexity — Most of this repository's production source (.cs, .go, .java, .kt, .rb, .rs, .swift, .vb) had no cognitive complexity computed for it, so cognitive complexity was not measured — whatever else this pass did read is not this repository's complexity. Not scored: no method bodies were exposed for those file kinds by any language model this pass could load. This is a gap in the analysis run, not a finding about this repository.
D22 Internal API Consistency — No exposed public API
D23 Boundary Type-Coupling — At only 90k LoC the codebase is small despite two projects, so its size alone makes it not need boundaries.
D25 ADR Conformance — no ADRs to check
D27 Navigability — No calls could be sampled, so navigability was not assessed — tracing effort is measured over resolved call sites and this target exposed none. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D3 God Classes — Most of this repository's production source (.cs, .go, .java, .kt, .rb, .rs, .swift, .vb) was not read by god-class detection, so class size was not assessed for the languages that are the product — whatever else this pass did read is not this repository's class size. Not scored — this is a gap in the analyzer, not a verdict about this repository.
D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
D36 Supply-chain Provenance & Signing — The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release).
D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D39 IL Efficiency — The target did not build, so no IL was available to measure.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D6 Cohesion (LCOM4) — Cohesion (LCOM4) is measured over a C#/VB class graph, and this repository's production source is mostly .exs, .go, .java, .kt, .py, .rb, .rs, .swift, which this pass does not read, so cohesion was not assessed for this repository. Not scored — this is a gap in the analyzer, not a finding about this repository.
D7 Architectural Integrity — no checkable ADRs and no dependency cycles — architectural integrity not assessed
DM1 Domain Modelling — applicable but not scored (2 of 2 signals for this style — below the bar we score at): 17 aggregate root(s) (types guarding their own state behind command methods — this language has no AggregateRoot base to inherit); 47 value object(s)
ED2 Event/command shape — not scored — deciding whether a command has more than one competing handler requires resolving the call graph, and a call made through an inferred or generic receiver has no resolvable owner in the source. Reported as guidance rather than measured
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this check looks for
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
P2 Observability — Observability was not assessed: this check reads a source model that does not carry this repository's product — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of a logging idiom this check recognises is NOT evidence that this repo lacks structured logging (it may log through its own ecosystem's logger). This is a gap in the analyzer, not a finding about this repository.
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
P7 Outbound HTTP resilience — not applicable — this isn't a service/API/worker
P8 Schema migrations — no EF Core usage detected
P9 Domain vs controller coverage — coverage data present but no domain-layer files were identified (no /Domain//Aggregates/ paths)
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.
R11 Import Boundaries — No recognizable feature-sliced/layered src layout — boundary rules not applicable.
S1 Web-Security Posture — No web surface detected in the analyzed source — no HTTP API or web-UI project (no controllers/minimal-API endpoints, no Razor/Blazor views) and no web middleware (HTTPS redirection, HSTS, security headers, cookies). Transport security, security headers, secure cookies, CSRF/input-validation and middleware-order controls are therefore N/A here — this is a library/CLI/worker, not a web app. Crypto hygiene was still checked and found nothing to flag. If this codebase becomes web-facing, the dimension reactivates automatically.
SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X2 Cancellation propagation — no async methods found
X6 Hand-rolled structured-format parsing — Reported, not scored — this card publishes what it found rather than grading it. Its content is the findings and the key metric above.
X7 Silent fallback defaults — Reported, not scored — this card publishes what it found rather than grading it. Its content is the findings and the key metric above.
Appendix A — Findings (grouped)
The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.
High: github-actions-mutable-action-tag .github/workflows/check-python.yml:14— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v2`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v2 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/check-python.yml:16— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-python@<40-character SHA>`. This step references `actions/setup-python@v2`; resolve the SHA it points at today with `gh api repos/actions/setup-python/commits/v2 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/file-size.yml:14— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v2`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v2 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/file-size.yml:16— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-python@<40-character SHA>`. This step references `actions/setup-python@v2`; resolve the SHA it points at today with `gh api repos/actions/setup-python/commits/v2 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/file-size.yml:21— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: tj-actions/changed-files@<40-character SHA>`. This step references `tj-actions/changed-files@v18.4`; resolve the SHA it points at today with `gh api repos/tj-actions/changed-files/commits/v18.4 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/rust.yml:18— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v3`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v3 --jq .sha`.
High: insecure-use-scanf-fn 00_Alternate_Languages/25_Chief/C/chief.c:31— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: insecure-use-scanf-fn 00_Alternate_Languages/25_Chief/C/chief.c:34— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: insecure-use-scanf-fn 00_Alternate_Languages/25_Chief/C/chief.c:45— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: insecure-use-scanf-fn 00_Alternate_Languages/25_Chief/C/chief.c:77— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: insecure-use-scanf-fn 00_Alternate_Languages/30_Cube/C/cube.c:53— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: insecure-use-scanf-fn 00_Alternate_Languages/30_Cube/C/cube.c:58— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: insecure-use-scanf-fn 00_Alternate_Languages/30_Cube/C/cube.c:77— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: insecure-use-scanf-fn 00_Alternate_Languages/30_Cube/C/cube.c:121— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: insecure-use-scanf-fn 00_Alternate_Languages/33_Dice/C/dice.c:16— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: insecure-use-scanf-fn 00_Alternate_Languages/44_Hangman/C/main.c:116— Avoid using 'scanf()'. This function, when used improperly, does not consider buffer boundaries and can lead to buffer overflows. Use 'fgets()' instead for reading input. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
High: watchdog-sensitive-personal-data-in-log 00_Alternate_Languages/05_Bagels/go/main.go:41— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 05_Bagels/csharp/Game.cs:38— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 05_Bagels/java/Bagels.java:105— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 17_Bullfight/csharp/View.cs:110— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 17_Bullfight/java/Bullfight.java:48— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 51_Hurkle/csharp/ConsoleHurkleView.cs:9— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 51_Hurkle/csharp/ConsoleHurkleView.cs:64— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 60_Mastermind/csharp/View.cs:74— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 60_Mastermind/csharp/View.cs:113— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 71_Poker/java/Poker.java:485— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
High: watchdog-sensitive-personal-data-in-log 82_Stars/javascript/stars.js:85— Special-category or directly-identifying personal data appears to be written to a log or console sink. Logs are copied, shipped to third parties and retained far longer than the data itself is lawfully needed. Log a stable pseudonymous reference instead of the value.
D38 · OSV Dependency Vulnerabilities· High CVE · ×6
High CVE: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— braces 3.0.2: [GHSA redacted] — braces is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (or pin braces to 3.0.3 with an `overrides` entry).
High CVE: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— cross-spawn 5.0.1: [GHSA redacted] — cross-spawn is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (— 6.0.6 is a MAJOR ahead of the resolved 5.0.1, so an `overrides` pin would force a breaking version under a dependent written against 5.0.1; upgrading the declaring package is the remedy, and where no patched release exists in your major line, record the exposure instead).
High CVE: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— cross-spawn 6.0.5: [GHSA redacted] — cross-spawn is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (or pin cross-spawn to 6.0.6 with an `overrides` entry).
High CVE: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— picomatch 2.3.1: [GHSA redacted] — picomatch is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (or pin picomatch to 2.3.2 with an `overrides` entry). This one row stands for the 2 advisories this scan raises against picomatch 2.3.1: [GHSA redacted], [GHSA redacted].
High CVE: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— semver 5.7.1: [GHSA redacted] — semver is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (or pin semver to 5.7.2 with an `overrides` entry).
High CVE: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— ws 7.1.1: [GHSA redacted] — ws is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (or pin ws to 7.5.10 with an `overrides` entry). This is 1 of 3 advisories with a published fix this scan raises against ws 7.1.1, and their fixed versions do not agree — anything below 7.5.11 still leaves at least one of them open. Take this package to 7.5.11 or later: that is the floor for the package, not this row's target alone. This one row stands for the 3 advisories this scan raises against ws 7.1.1: [GHSA redacted], [GHSA redacted], [GHSA redacted].
D38 · OSV Dependency Vulnerabilities· High vulnerability · ×1
High vulnerability: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— http-proxy 1.17.0: [GHSA redacted] — http-proxy is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (or pin http-proxy to 1.18.1 with an `overrides` entry).
Medium: math-random-used 00_Alternate_Languages/01_Acey_Ducey/go/main.go:6— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/02_Amazing/go/main.go:7— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/05_Bagels/go/main.go:6— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/09_Battle/go/main.go:6— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/11_Bombardment/go/main.go:6— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/12_Bombs_Away/go/main.go:6— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/20_Buzzword/go/main.go:6— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/31_Depth_Charge/go/main.go:7— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/33_Dice/go/main.go:6— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/34_Digits/go/main.go:6— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/38_Fur_Trader/go/main.go:7— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/41_Guess/go/main.go:7— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/42_Gunner/go/main.go:7— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used 00_Alternate_Languages/47_Hi-Lo/go/main.go:6— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:99— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:100— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:131— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:158— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:159— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:160— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:161— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:172— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:185— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:191— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: weak-random 07_Basketball/java/Basketball.java:192— Detected use of the functions `Math.random()` or `java.util.Random()`. These are both not cryptographically strong random number generators (RNGs). If you are using these RNGs to create passwords or secret tokens, use `java.security.SecureRandom` instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: watchdog-personal-data-in-log 95_Weekday/csharp/Program.cs:98— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
Medium: watchdog-personal-data-in-log 95_Weekday/csharp/Program.cs:118— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
Medium: watchdog-personal-data-in-log 95_Weekday/csharp/Program.cs:122— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
Medium: watchdog-personal-data-in-log 95_Weekday/csharp/Program.cs:176— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
Medium: watchdog-personal-data-in-log 95_Weekday/java/Weekday.java:148— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
Medium: watchdog-personal-data-in-log 95_Weekday/javascript/weekday.js:369— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
Medium: watchdog-personal-data-in-log 95_Weekday/javascript/weekday.js:371— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
Medium: watchdog-personal-data-in-log 95_Weekday/javascript/weekday.js:373— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
Medium: watchdog-personal-data-in-log 95_Weekday/javascript/weekday.js:385— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
Medium: watchdog-personal-data-in-log 95_Weekday/python/weekday.py:217— Personal data appears to be written to a log or console sink. Under GDPR Article 5(1)(c) logs should carry the minimum needed to operate the system; prefer a pseudonymous identifier over the personal value itself.
D38 · OSV Dependency Vulnerabilities· Medium advisory (unsound) · ×5
Medium advisory (unsound): RUSTSEC-2026-0097 01_Acey_Ducey/rust/Cargo.lock— rand 0.8.5: RUSTSEC-2026-0097 — upgrade to 0.8.6 (in 36 dependency files)
Medium advisory (unsound): RUSTSEC-2026-0097 31_Depth_Charge/rust/Cargo.lock— rand 0.9.0: RUSTSEC-2026-0097 — upgrade to 0.9.3 (in 2 dependency files: 31_Depth_Charge/rust/Cargo.lock, 73_Reverse/rust/Cargo.lock)
Medium advisory (unsound): RUSTSEC-2026-0190 42_Gunner/rust/Cargo.lock— anyhow 1.0.101: RUSTSEC-2026-0190 — anyhow is not declared by the manifests that govern this lockfile: it is pulled in transitively here (the 1.0.75 this repo declares for it belongs to a separate install root and does not reach this one) by wasm-metadata 0.244.0 and wit-bindgen-core 0.51.0 and 4 others, so upgrade the dependency that requires it (or force it with `cargo update -p anyhow@1.0.101 --precise 1.0.103`, or a `[patch.crates-io]` entry).
Medium advisory (unsound): RUSTSEC-2026-0097 42_Gunner/rust/Cargo.lock— rand 0.10.0: RUSTSEC-2026-0097 — upgrade to 0.10.1
Medium advisory (unsound): RUSTSEC-2026-0190 69_Pizza/rust/Cargo.lock— anyhow 1.0.75: RUSTSEC-2026-0190 — upgrade to 1.0.103
Duplicated block (16 lines × 2) 17_Bullfight/python/bullfight.py:75— 17_Bullfight/python/bullfight.py:75-90 | 84_Super_Star_Trek/python/superstartrekins.py:107-122 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.
Duplicated block (16 lines × 2) 27_Civil_War/python/Civilwar.py:208— 27_Civil_War/python/Civilwar.py:208-223 | 84_Super_Star_Trek/python/superstartrekins.py:99-114 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.
Duplicated block (16 lines × 2) 84_Super_Star_Trek/python/superstartrekins.py:37— 84_Super_Star_Trek/python/superstartrekins.py:37-52 | 84_Super_Star_Trek/python/superstartrekins.py:64-79 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (14 lines × 2) 22_Change/python/change.py:55— 22_Change/python/change.py:55-68 | 22_Change/python/change.py:70-83 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (14 lines × 2) 37_Football/python/football.py:304— 37_Football/python/football.py:304-317 | 37_Football/python/football.py:412-426 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (9 lines × 2) 07_Basketball/python/basketball.py:271— 07_Basketball/python/basketball.py:271-279 | 07_Basketball/python/basketball.py:311-319 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `07_Basketball/python/basketball.py:271` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 2) 38_Fur_Trader/python/furtrader.py:178— 38_Fur_Trader/python/furtrader.py:178-186 | 38_Fur_Trader/python/furtrader.py:196-204 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `38_Fur_Trader/python/furtrader.py:178` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (8 lines × 2) 40_Gomoko/python/Gomoko.py:102— 40_Gomoko/python/Gomoko.py:102-109 | 40_Gomoko/python/Gomoko.py:116-123 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (8 lines × 2) 49_Hockey/python/hockey.py:412— 49_Hockey/python/hockey.py:412-420 | 49_Hockey/python/hockey.py:452-459 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `49_Hockey/python/hockey.py:412` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
dormant codebase — no living knowledge left to concentrate — All 101 significant source file(s) were last meaningfully changed so long ago that no living knowledge remains — nothing since has been substantial enough to re-establish ownership (a broad, mechanical sweep that touches many files shallowly does not count, and neither does no activity at all). There is no concentration to measure, so the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).
LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.findings[0].issue | LineNumber: 0 | BytePositionInLine: 1006.
D38 · OSV Dependency Vulnerabilities· Medium CVE · ×1
Medium CVE: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— follow-redirects 1.14.9: [GHSA redacted] — follow-redirects is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (or pin follow-redirects to 1.15.6 with an `overrides` entry). This is 1 of 3 advisories with a published fix this scan raises against follow-redirects 1.14.9, and their fixed versions do not agree — anything below 1.16.0 still leaves at least one of them open. Take this package to 1.16.0 or later: that is the floor for the package, not this row's target alone. This one row stands for the 3 advisories this scan raises against follow-redirects 1.14.9: [GHSA redacted], [GHSA redacted], [GHSA redacted].
Duplicated block (17 lines × 2) 37_Football/python/football.py:231— 37_Football/python/football.py:231-247 | 37_Football/python/football.py:418-434 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (16 lines × 3) 49_Hockey/python/hockey.py:133— 49_Hockey/python/hockey.py:133-148 | 84_Super_Star_Trek/python/superstartrekins.py:57-72 | 84_Super_Star_Trek/python/superstartrekins.py:119-134 — there are 3 copies across 2 file(s) — more copies than files, so at least one file holds the block twice. Extract it once into a single shared function every call site can reach and call it from all 3 sites; resolving a subset leaves the remainder to drift apart.
Duplicated block (15 lines × 4) 30_Cube/python/cube.py:98— 30_Cube/python/cube.py:98-112 | 39_Golf/python/golf.py:430-444 | 49_Hockey/python/hockey.py:134-148 | 84_Super_Star_Trek/python/superstartrekins.py:120-134 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 4 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 4 times. Read the line range as the matched WINDOW rather than a finished unit: at `39_Golf/python/golf.py:430` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (13 lines × 2) 28_Combat/python/combat.py:43— 28_Combat/python/combat.py:43-55 | 28_Combat/python/combat.py:122-134 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (12 lines × 2) 49_Hockey/python/hockey.py:186— 49_Hockey/python/hockey.py:186-197 | 49_Hockey/python/hockey.py:244-255 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `49_Hockey/python/hockey.py:244` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (11 lines × 2) 28_Combat/python/combat.py:72— 28_Combat/python/combat.py:72-82 | 28_Combat/python/combat.py:85-95 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `28_Combat/python/combat.py:72` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (6 lines × 2) 49_Hockey/python/hockey.py:277— 49_Hockey/python/hockey.py:277-282 | 49_Hockey/python/hockey.py:283-288 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Off the main sequence: Games.Common — Games.Common: abstractness 0.23, instability 0.00, distance 0.77 — the shape a shared-kernel / building-block library has BY DESIGN — concrete and widely depended-on is what makes it useful, and this dimension does not penalise it (the distance is reported for completeness, not as a defect). Worth a look only if it has grown past one coherent kernel into an everything-bucket.
Recommendation — 10 finding(s)
D34 · Knowledge Freshness· Largest orphaned file · ×3
Largest orphaned file 88_3-D_Tic-Tac-Toe/csharp/Qubic.cs— One of the largest files with no living knowledge remaining — a reasonable place to start a read-through before the aggregate risk above bites.
Largest orphaned file 39_Golf/csharp/Program.cs— One of the largest files with no living knowledge remaining — a reasonable place to start a read-through before the aggregate risk above bites.
Largest orphaned file 38_Fur_Trader/csharp/Game.cs— One of the largest files with no living knowledge remaining — a reasonable place to start a read-through before the aggregate risk above bites.
Low CVE: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— send 0.17.1: [GHSA redacted] — send is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (or pin send to 0.19.0 with an `overrides` entry).
Low CVE: [GHSA redacted] 00_Alternate_Languages/01_Acey_Ducey/elm/package-lock.json— serve-static 1.14.1: [GHSA redacted] — serve-static is not declared in this repo's manifests: it is pulled in transitively, so upgrade the dependency that requires it (or pin serve-static to 1.16.0 with an `overrides` entry).
D11 · Test Reliability· Test reliability not included · ×1
Test reliability not included — Test source is present (.kt, .vb, .java) but the built-in reliability runner does not support this repository's ecosystem, so flakiness couldn't be assessed. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.
complexity unreadable for .cs, .go, .java, .kt, .rb, .rs, .swift, .vb — churn × complexity hotspots could not be measured — A hotspot is churn × complexity. Churn was measured (0 line(s) across the 90-day window), but no complexity could be computed for .cs, .go, .java, .kt, .rb, .rs, .swift, .vb, which is most of this repository's production code — so every churned file would score as complexity 0 and the hotspot list would be empty no matter how tangled the code is. Not scored — this is a gap in the analysis run, not a finding about this repository.
Dormant codebase — 117 of 117 significant files have no living knowledge — the codebase as a whole is dormant, not 117 separate risks. Re-engage owners or document before change.
Info — 3 finding(s)
D12 · Dependency Hygiene· Dependency hygiene not measured · ×1
Dependency hygiene not measured — no packages were read — This repository has NuGet-managed production source (.cs, .vb), whose `<PackageReference>` dependencies are exactly what this dimension assesses — but `dotnet list package` returned no packages, so there was nothing to assess. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED. This is a gap in the analysis run (restore or project-load failed), not a verdict about this repository. Dependencies declared for the other ecosystems present here (.exs, .go, .java, .kt, .py, .rb, .rs, .swift) are not read yet either.
D22 · Internal API Consistency· No exposed public API · ×1
No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.
D9 · Test Distribution· Tests co-located / outside the solution · ×1
Tests co-located / outside the solution — 37 test method(s) were found on disk (co-located in feature projects, or outside the analyzed solution) rather than in dedicated test projects, so the unit/integration/E2E pyramid can't be classified — they're counted as one undifferentiated suite.
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.
trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
provenance: not applicable — The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release).
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
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Run 019fd1e9-b241-7066-ae57-604038591fa0 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 34 · Warnings: 69 · Recommendations: 10 · Info: 3 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 05-08-2026 @ 12:33 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.