Public report — node-eventstore, published 3 Aug 2026. Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version; ask the repo owner for the full report.
Watchdogby Canine Development 03-08-2026 @ 22:23 UTC Public
Code Health Audit

Thenativeweb/node-Eventstore

dormant codebase
48% Weak
CriticalWeakAdequateStrongExemplary
upper third — near Adequate
Security 100% Exemplary Architecture 98% Exemplary Maturity 49% Weak Readiness 40% Weak Code Health 40% Weak

Small · 5,100 LoC · rebuild ~0.1 person-years · weakest lens: Code Health (40%)

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

26/28dimensions tool-verifieddeterministic · confidence 1.0 · 2 LLM-assisted, advisory
11findings with an exact file:lineof 18 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
28/105dimensions across the health lenses5100 LoC — 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.

thenativeweb/node-eventstore carries serious gaps (48%). 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 Security (100%) — its security and compliance posture is in good shape. Architecture (98%) is solid too.

The area that most needs attention is Code Health (40%) — changes there are slower and more error-prone. Readiness (40%) is the next concern — releases are harder to depend on — versioning, release notes and dependency hygiene are thin, so consumers can't easily tell what changed or trust an upgrade.

Leadership focus, highest impact first: TypeScript for the frontend (Type Safety); each oversized file along the responsibilities already in it (Large Files); eslint and type checking (adopt TypeScript (Tooling).

For scale: Small (~5,100 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.

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

Code Health 40% Weak · gated by R1, R3 Architecture 98% ★ Exemplary Maturity 49% Weak · gated by D34, M2 Readiness 40% Weak · gated by R6, P3 Security 100% ★ Exemplary
How the score is built — each lens's share of the headline Width is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
Code Health 40% · 47% weightReadiness 40% · 26% weightMaturity 49% · 14% weightArchitecture 98% · 8% weightSecurity 100% · 4% weight

Raise Code Health 40 → 70 (the Healthy floor) ⇒ headline 48 → ~54.

Code composition — where the lines go
Tests 100%
New since the last scan (8+)

8 finding(s) are new versus the previous scan (2026-07-29) — surfaced by this scheduled scan itself, no pull request required.

  • R10 · Duplicated block (14 lines × 2 locations) lib/databases/inmemory.js
  • R10 · Duplicated block (13 lines × 2 locations) lib/databases/inmemory.js
  • R10 · Duplicated block (13 lines × 2 locations) lib/databases/mongodb.js
  • R10 · Duplicated block (13 lines × 2 locations) lib/databases/tingodb.js
  • R10 · Duplicated block (12 lines × 2 locations) lib/databases/mongodb.js
  • R10 · Duplicated block (12 lines × 2 locations) lib/databases/mongodb.js
  • R10 · Duplicated block (12 lines × 2 locations) lib/event.js
  • R10 · Duplicated block (11 lines × 2 locations) lib/databases/azuretable.js

A full-fidelity diff against the previous run's complete recorded findings — line-move tolerant: a finding that only shifted line counts as unchanged, only genuinely new titles/files surface here.

Rebuild cost & value ~ Modeled — €2,900–€15,000
Cost to rebuild€2,900–€15,000 (0.1 person-years (48–153 h), ~1 engineer)
Domain complexityStandard — harder problems cost more per line
Quality factor0.7× (at 48% quality) — the last 20% of quality is most of the work
Size & shapeSmall · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)

This codebase represents roughly ~0.1 person-years of build effort (about ~€8,700 to rebuild). Its weakest lens is Code Health 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) — standard service × a 0.7× quality factor, at €60–95/h; indicative, ±~30% · size measured directly from source · effort from total production LoC as straight-line logic (the tier split is a C#-only syntax walk), a conservative lower bound. Indicative only — most sensitive to the hourly rate and the domain tier (both tunable in config).

Top priorities

The highest-leverage moves; the full ranked list is in the Roadmap below.

1
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.
+9.7 pts · Medium effort · Type Safety
2
Split each oversized file along the responsibilities already in it, into smaller focused modules in the same package.
+9.7 pts · Medium effort · Large Files
3
Resolve the 2 Orphaned knowledge finding(s) in Knowledge Freshness — start with dynamodb.js, mongodb.js.
+4.8 pts · Low effort · Knowledge Freshness

Diagnosis — what's actually going on

Value concentrated against a weak lens · High · Value at risk
This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Code Health at 40%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
Evidence: valuation: Small, ~0.1 person-years rebuild (5,100 LoC) · weakest lens: Code Health 40%
→ Direct remediation budget at Code Health 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: 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. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ 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.

At a glance — Code Health · 40% · Weak · gated by R1, R3

The Good
D1 · .NET / C# Cyclomatic Complexity 9.2 D2 · .NET / C# Cognitive Complexity 8.2 D3 · .NET / C# God Classes 7.5 R10 · React / TS Code Duplication 7.3 R2 · React / TS Cyclomatic Complexity 9.8 R7 · React / TS Dead Code 10.0
The Ugly
R1 · React / TS Type Safety 0.0 R3 · React / TS Large Files 0.0

At a glance — Architecture · 98% · Exemplary

The Good
D35 · .NET / C# Change Coupling 9.6 R9 · React / TS Circular Imports 10.0

At a glance — Maturity · 49% · Weak · gated by D34, M2

The Good
D15 · .NET / C# Churn × Complexity Hotspots 10.0 D21 · .NET / C# Naming Consistency 10.0 M3 · Repo Folder & project structure 10.0 M4 · Repo Documentation accuracy 10.0
The Bad
D19 · .NET / C# Documentation Quality 6.0 M1 · Repo Documentation (README) 6.7
The Ugly
D34 · .NET / C# Knowledge Freshness 0.0 M2 · Repo Architecture documentation 0.0

At a glance — Readiness · 40% · Weak · gated by R6, P3

The Good
D13 · .NET / C# Secret Scanning 10.0 R4 · React / TS Test Coverage 10.0 R8 · React / TS Dependency Hygiene 7.5
The Bad
P1 · Repo CI/CD gates 5.0 P6 · Repo Release Hygiene 5.0
The Ugly
P3 · Repo Security & performance tooling 0.0 R6 · React / TS Tooling 3.4

At a glance — Security · 100% · Exemplary

The Good
D28 · .NET / C# Secrets (history) 10.0 D29 · .NET / C# Static Analysis (SAST) 10.0 D33 · .NET / C# JS/npm Dependency Vulnerabilities 10.0

Roadmap

Begin by implementing type safety in the frontend by adopting TypeScript or adding a typecheck step to the build process, prioritizing the conversion of high-traffic modules. Simultaneously, split the six largest files into smaller, focused modules to improve maintainability. To support these changes, configure ESLint and type checking as package scripts and enforce them in CI. Finally, establish CI/CD gates to ensure tests pass before merging, and implement version stamping in the build manifest to ensure traceable releases.

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

Do thisHelpsEffortDimension
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.+9.7 ptsMediumType Safety
Split each oversized file along the responsibilities already in it, into smaller focused modules in the same package.+9.7 ptsMediumLarge Files
Resolve the 2 Orphaned knowledge finding(s) in Knowledge Freshness — start with dynamodb.js, mongodb.js.+4.8 ptsLowKnowledge Freshness
Add eslint and type checking (adopt TypeScript, or type-check the existing JavaScript with `checkJs`) as package.json scripts and run them in CI.+9.4 ptsMediumTooling
Run the test suite in CI via an explicit runner step for your stack, and gate merges on it.+8.2 ptsMediumCI/CD gates
Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.+8.2 ptsMediumRelease Hygiene
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).+7.2 ptsMediumArchitecture documentation
Extract the duplicated blocks into shared functions/components.+5.1 ptsMediumCode Duplication

File quality

Per-file score 0–10 — a quality signature. Of 5 files carrying findings, judged against the Production bar: 0% slop · 60% mixed · 40% near-clean.

FileScoreBandWorst signal
lib/databases/inmemory.js7.4MixedCyclomatic Complexity: getEventsByRevision (cyclomatic 27)
lib/storeEventEmitter.js7.8MixedCyclomatic Complexity: addEventEmitter (cyclomatic 25)
lib/databases/dynamodb.js7.8MixedCognitive Complexity: getSnapshot (cognitive 16)
lib/databases/elasticsearch.js8.5Near-cleanCognitive Complexity: (anonymous) (cognitive 16)
lib/databases/mongodb.js8.5Near-cleanChange Coupling: Change coupling: mongodb.js ↔ tingodb.js

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. 26 of 28 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 2 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.4 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.

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

What we checked — 28 dimensions across the health lenses
D1D2D3D13D15D19D21D28D29D33D34D35M1M2M3M4P1P3P6R1R10R2R3R4R6R7R8R9

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

How to trust any code-health report — three questions
  1. Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 11 of 18 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
  2. Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
  3. Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.

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

Tools & methods

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

MethodBacksVersionEvaluator
Roslyn static analysisComplexity, cohesion, coupling, dead code, API surface, layering5.3.0✓ deterministic
Native secret scannerHardcoded secrets / credentials1.0.0✓ deterministic
jscpdCode duplication—✓ deterministic
Coverage (coverlet / dotnet-coverage)Line & branch coverage10.0.302✓ deterministic
NuGet / dotnetOutdated, vulnerable & deprecated dependencies10.0.302✓ deterministic
git / LibGit2SharpChurn hotspots, knowledge concentration, history2.43.0 · 0.31.0✓ deterministic
gitleaks · semgrep · trivySecrets in history, SAST, CVEs, IaC & container, PII / GDPR1.86.0 · 0.69.3✓ deterministic
LLM (sampled · advisory)Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurementLocal LLM◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 019fc9b9-f434-7fa4-b304-e2c0f02a5bc7.

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

Run transparency — what happened this run

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

  • D30 Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.

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

Limitations & what we did not check

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

Per-dimension blind spots

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

  • D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
  • D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
  • D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
  • D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
  • D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
  • D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement.
  • D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
  • D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
  • D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
  • 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.
  • 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.
  • P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.

The LLM boundary

LLM-set scores this run (3): D19, D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score (documentation, ADR quality, naming, comment value, onboarding) — D25 sets the ADR-conformance fraction over sampled code, D22 judges API accuracy over a sample. These are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.

Dimensions

D1 · Cyclomatic Complexity9.2 / 10Exemplary✓ Tool-verified

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

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

Maturity: Documented → Verified → Prevented · effective 9.2 / 10 · rule-coverage 100% · ceiling Prevented

2 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was getEventsByRevision at 27.

getEventsByRevision (cyclomatic 27)lib/databases/inmemory.js:192
addEventEmitter (cyclomatic 25)lib/storeEventEmitter.js:70

✓ On the Gold path — maintain.

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

D2 · Cognitive Complexity8.2 / 10Strong✓ Tool-verified

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

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

Maturity: Documented → Verified → Prevented · effective 8.2 / 10 · rule-coverage 100% · ceiling Prevented

5 method(s) exceeded the cognitive complexity threshold of 15; the worst was getEventsByRevision at 56.

getEventsByRevision (cognitive 56)lib/databases/inmemory.js:192
addEventEmitter (cognitive 24)lib/storeEventEmitter.js:70
getSnapshot (cognitive 17)lib/databases/inmemory.js:385
(anonymous) (cognitive 16)lib/databases/elasticsearch.js:124
getSnapshot (cognitive 16)lib/databases/dynamodb.js:611

What to do

  1. Resolve the 1 getEventsByRevision (cognitive 56) finding(s) in Cognitive Complexity — start with inmemory.js. — One of this dimension's main actionable groups (1 warning-level).
  2. Resolve the 1 addEventEmitter (cognitive 24) finding(s) in Cognitive Complexity — start with storeEventEmitter.js. — One of this dimension's main actionable groups (1 warning-level).
  3. Resolve the 1 getSnapshot (cognitive 17) finding(s) in Cognitive Complexity — start with inmemory.js. — One of this dimension's main actionable groups (1 warning-level).
  4. Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

D3 · God Classes7.5 / 10Strong✓ Tool-verified

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

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

Maturity: Documented → Verified → Prevented · effective 7.5 / 10 · rule-coverage 100% · ceiling Prevented

1 god class(es) detected.

FileTooLong: databases/dynamodb.jslib/databases/dynamodb.js:0

What to do

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

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

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

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

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

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

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

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

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

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

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

No churn × complexity hotspots in the window.

✓ On the Gold path — maintain.

Detailed fixes: d15_recommendation.md.

D19 · Documentation Quality / 10Adequate◐ Sampled · advisory

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

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

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

The single README is a heartfelt personal farewell note with no documentation for the node-eventstore module it describes. It begins with an important disclaimer that the CQRS modules are being phased out and thanks contributors, then moves into an Introduction section citing JS.ORG, Travis, npm, and ends before any real usage content appears (Require the module and init the eventstore:; Logging; Provide implementation for storage; Built-in event publisher). The visible outline lists Consumers, Installation, Usage, Require..., Logging... Built-in event publisher... Catch connect and disconnect events... Sample Integration... Release notes... Database Support... own db implementation — all exist in the document but are cut off by the scanner before any of them can be confirmed present.

What to do

  1. Improve Documentation Quality — currently 6.0/10. — The single README is a heartfelt personal farewell note with no documentation for the node-eventstore module it describes. It begins with an important disclaimer that the CQRS modules are being phased out and thanks contributors, then moves into an Introduction section citing JS.ORG, Travis, npm, and ends before any real usage content appears (Require the module and init the eventstore:; Logging; Provide implementation for storage; Built-in event publisher). The visible outline lists Consumers, Installation, Usage, Require..., Logging... Built-in event publisher... Catch connect and disconnect events... Sample Integration... Release notes... Database Support... own db implementation — all exist in the document but are cut off by the scanner before any of them can be confirmed present.

Detailed fixes: d19_recommendation.md.

D21 · Naming Consistency / 10Exemplary◐ Sampled · advisory

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

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

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

0 naming inconsistencies across 0 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

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

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

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

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

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

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

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

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

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

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

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

semgrep found no security issues.

✓ On the Gold path — maintain.

Detailed fixes: d29_recommendation.md.

D33 · JS/npm Dependency Vulnerabilities10.0 / 10Exemplary○ Nothing flagged

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

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

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

No known-vulnerable JS/npm dependencies.

✓ On the Gold path — maintain.

Detailed fixes: d33_recommendation.md.

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

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

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

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

12 of 12 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is lib/databases/dynamodb.js.

Orphaned knowledge · ×2lib/databases/dynamodb.js
Further orphaned files (smaller)

What to do

  1. Resolve the 2 Orphaned knowledge finding(s) in Knowledge Freshness — start with dynamodb.js, mongodb.js. — One of this dimension's main actionable groups (2 issue-level).
  2. Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).

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

D35 · Change Coupling9.6 / 10Exemplary✓ Tool-verified

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

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

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

Maturity: Documented → Verified → Prevented · effective 9.6 / 10 · rule-coverage 100% · ceiling Documented

Strongest change-coupling: mongodb.js↔tingodb.js 70%

Change coupling: mongodb.js ↔ tingodb.jslib/databases/mongodb.js

✓ On the Gold path — maintain.

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

Frontend & cross-cutting dimensions

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

M1 · Documentation (README)6.7 / 10Adequate✓ Tool-verified

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

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

What to do

  • Add a 'Testing' section to the root README — how to run the test suite.
  • Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
M2 · Architecture documentation0.0 / 10Critical✓ Tool-verified

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

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

  • No Architecture Decision Records found — no conventional ADR directory, no `NNNN-title.md` documents and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
  • No C4/PlantUML/Mermaid diagram or architecture.md — the high-level shape isn't documented.

What to do

  • Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
  • Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.
M3 · Folder & project structure10.0 / 10Exemplary✓ Tool-verified

Maturity · Maturity — Whether the repo is organised deliberately — src/test separation and consistent project naming.

Method: Filesystem scan: src/test folder separation and namespace-prefix consistency (majority RootNamespace agreement). Exhaustive across projects, deterministic.

M4 · Documentation accuracy10.0 / 10Exemplary◐ Sampled · advisory

Maturity · Maturity — Whether the README actually describes the code that exists (LLM-judged, advisory).

Method: Judged by language model at low temperature: README accuracy versus actual projects, within a disclosed tolerance. Advisory, not a measured number.

P1 · CI/CD gates5.0 / 10Adequate✓ Tool-verified

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

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

  • A CI pipeline exists but no test-runner invocation (your stack's test command, or a test job) was found — changes may merge without the suite running.
  • A CI pipeline exists but no build/compile step was matched — changes may merge without being compiled. A build step may be invoked directly as a command, or declared as a task that a runner named in the pipeline resolves.

What to do

  • Run the test suite in CI via an explicit runner step for your stack, and gate merges on it.
  • Add an explicit build/compile step to your CI pipeline — your stack's own build command, or, if the pipeline delegates to a task runner, a build task that runner executes in CI — so every change is compiled before merge.
P3 · Security & performance tooling0.0 / 10Critical✓ Tool-verified

Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).

Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.

  • No static application security testing detected. For this repository's stack, add CodeQL's javascript-typescript pack, `semgrep --config=p/javascript`, or eslint-plugin-security as a CI step.

What to do

  • Add a SAST step to CI running what this repository's stack ships: CodeQL's javascript-typescript pack, `semgrep --config=p/javascript`, or eslint-plugin-security — 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.
P6 · Release Hygiene5.0 / 10Adequate✓ Tool-verified

Readiness · Readiness — Whether releases are traceable — a maintained changelog and explicit version stamping.

Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.

What to do

  • Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.
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 · 22 plain JS — the untyped files are index.js, lib/base.js, lib/databases/azuretable.js, lib/databases/dynamodb.js, lib/databases/elasticsearch.js, lib/databases/inmemory.js (+16 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.
R10 · Code Duplication7.3 / 10Strong✓ Tool-verified

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.

  • lib/databases/inmemory.js:139 · lib/databases/inmemory.js:419 — 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. — inmemory.js:139
  • lib/databases/inmemory.js:299 · lib/databases/inmemory.js:338 — 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. — inmemory.js:299
  • lib/databases/mongodb.js:749 · lib/databases/tingodb.js:480 — the 2 copies sit in sibling files in one directory, so check first whether one of them (or an existing module there) already owns this behaviour and the others should call it; otherwise extract it into one module in that directory and have each site call it. — mongodb.js:749
  • lib/databases/tingodb.js:292 · lib/databases/tingodb.js:322 — 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. — tingodb.js:292
  • lib/databases/mongodb.js:520 · lib/databases/tingodb.js:240 — the 2 copies sit in sibling files in one directory, so check first whether one of them (or an existing module there) already owns this behaviour and the others should call it; otherwise extract it into one module in that directory and have each site call it. — mongodb.js:520
  • lib/databases/mongodb.js:684 · lib/databases/tingodb.js:415 — 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. — mongodb.js:684
  • lib/event.js:11 · lib/snapshot.js:10 — the 2 copies sit in sibling files in one directory, so check first whether one of them (or an existing module there) already owns this behaviour and the others should call it; otherwise extract it into one module in that directory and have each site call it. — event.js:11
  • lib/databases/azuretable.js:139 · lib/databases/dynamodb.js:159 — the 2 copies sit in sibling files in one directory, so check first whether one of them (or an existing module there) already owns this behaviour and the others should call it; otherwise extract it into one module in that directory and have each site call it. — azuretable.js:139

What to do

  • Extract the duplicated blocks into shared functions/components.
R2 · Cyclomatic Complexity9.8 / 10Exemplary✓ Tool-verified

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) — inmemory.js:192, storeEventEmitter.js:70, inmemory.js:78, …

What to do

  • Break down the listed branch-heavy functions; aim P95 cyclomatic ≤ 5.
R3 · Large Files0.0 / 10Critical✓ 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.

  • 6 file(s) over 400 lines (counted as significant lines — blank lines excluded — over production source only, tests excluded), largest first: lib/databases/dynamodb.js (1026), lib/databases/mongodb.js (630), lib/databases/redis.js (550), lib/eventstore.js (532), lib/databases/azuretable.js (498), lib/databases/tingodb.js (414).

What to do

  • Split each oversized file along the responsibilities already in it, into smaller focused modules in the same package.
R4 · Test Coverage10.0 / 10Exemplary✓ 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.

R6 · Tooling3.4 / 10Weak✓ 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.

  • test ✓ · lint ✗ · typecheck ✗

What to do

  • Add eslint and type checking (adopt TypeScript, or type-check the existing JavaScript with `checkJs`) as package.json scripts and run them in CI.
R7 · Dead Code10.0 / 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.

R8 · Dependency Hygiene7.5 / 10Strong✓ Tool-verified

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

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

  • Declared in the root package.json but never imported anywhere in that package or its workspace members — dead weight and attack surface. Verify against build tooling before removing. (×3)

What to do

  • Remove unused dependencies, declare unlisted imports explicitly, and demote type-/test-only packages to devDependencies.
R9 · Circular Imports10.0 / 10Exemplary✓ Tool-verified

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.

Reference — by lens

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

LensScoreRatingImpact
Code Health40%Weak — gated by R1, R3Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Architecture98%ExemplarySolid.
Maturity49%Weak — gated by D34, M2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness40%Weak — gated by R6, P3Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security100%ExemplaryStrongest area.
Not included — 77 check(s) not relevant to this codebase

These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.

  • AC1 Text alternatives — No web markup found — accessibility is not applicable to this repository.
  • AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
  • AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
  • AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
  • AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
  • AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
  • AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
  • AX1 Captive dependencies — no DI registrations detected
  • AX10 Code composition — not assessed — code composition is computed by ROLE over a document set that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX2 Stateful singletons — no singleton implementations detected
  • AX3 Project dependency cycles — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX4 Dependency direction — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX6 Interface segregation — not assessed — interface segregation is computed over a type surface that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX7 Slice cohesion — not applicable — not a vertical-slice architecture
  • AX8 Test isolation — not assessed — test isolation is computed from a project graph (which projects are test projects, and what they reference) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
  • C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C3 Audit Trail — Not assessed: these audit controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks audit controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C4 Data Retention — Not assessed: these retention controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks retention controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C5 Data-Subject Rights — Not assessed: these data-subject rights controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks data-subject rights controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • D10 Test Quality — ~0 lines of test source are present (.js) but the test-quality collector reads C# only, so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
  • D11 Test Reliability — Test reliability not included
  • D12 Dependency Hygiene — Dependency hygiene not measured — dependency manifest found but not parsed for hygiene
  • D14 License Compliance — Not scored — this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (package.json), which this pass does not parse yet — so this dimension asserts nothing about this repository's licensing in either direction.
  • D16 Bus Factor — dormant codebase — no living knowledge left to concentrate
  • D17 Explicit Debt — explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language — this asserts nothing about how many markers the code carries. Not scored — this is a gap in the analyzer, not a finding about this repository
  • D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
  • D20 ADR Quality — N/A — ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
  • D22 Internal API Consistency — No exposed public API
  • D23 Boundary Type-Coupling — Zero projects and zero LoC mean the codebase is trivial and has no structure to justify boundaries.
  • D24 Comment Value — No inline comments to assess — comment value is not applicable here.
  • D25 ADR Conformance — no ADRs to check
  • D26 Project Cohesion — Project cohesion is assessed over the .NET project set; this target exposed no projects, so project size and spread could not be assessed. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
  • D27 Navigability — No calls could be sampled, so navigability was not assessed — tracing effort is measured over resolved call sites and this target exposed none. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
  • D30 Dependency Vulnerabilities — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (package.json — not scanned yet) — where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
  • D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
  • D32 Data Compliance (PII/GDPR) — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
  • D36 Supply-chain Provenance & Signing — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, Jenkinsfile, .circleci); there is no build to attest provenance for.
  • D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
  • D38 OSV Dependency Vulnerabilities — Scanner failed to run — not a clean result
  • D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
  • D4 Code Duplication — No analyzable source was loaded, so code duplication was not measured (the solution failed to load, or the language model was unavailable).
  • D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
  • D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
  • D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
  • D5 Coupling — Inter-project coupling could not be assessed — no analyzable project graph was found for this repository. Not scored: a gap in the analyzer's reach, not a verdict about this repository. (Coupling here is Martin afferent/efferent/instability plus reference cycles across a project-reference graph, read today from .NET project files; other ecosystems' module graphs are not read yet.)
  • D6 Cohesion (LCOM4) — No production classes were analyzable, so cohesion (LCOM4) was not measured (the solution likely failed to load or has no production code).
  • D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
  • D8 Code Coverage — Coverage not included — suite not readable by the collector
  • D9 Test Distribution — Test source is present (.js) but the test-pyramid classifier reads C# only, so its unit/integration/BDD/E2E split couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
  • DM1 Domain Modelling — not scored — this repository shows none of the 3 signals this check looks for
  • ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check looks for
  • ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
  • ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this check looks for
  • GD1 Unfinished & placeholder code — no source files
  • IC1 Incompleteness & stubs — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • 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
  • P7 Outbound HTTP resilience — not measured — the application kind could not be determined for this repo
  • P8 Schema migrations — not assessed — schema-migration practice is read from a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (lcov — `vitest --coverage`, `jest --coverage`, `bun test --coverage --coverage-reporter=lcov`, or `nyc`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored, or wire coverage collection into CI, to enable this cross-layer check
  • PF1 Benchmark discipline — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • PF2 Allocation hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • PF3 Async & latency hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • R11 Import Boundaries — No recognizable feature-sliced/layered src layout — boundary rules not applicable.
  • R5 Dependency Freshness — no package-lock.json — dependency freshness not measured (would require an npm lockfile); JS/npm CVEs are scored in D33 (JS/npm Dependency Vulnerabilities)
  • S1 Web-Security Posture — Not assessed: these web-security controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks web-security controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • X1 Async correctness — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X2 Cancellation propagation — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X3 Exception handling — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X4 Structured logging — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X5 Nullable reference types — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository

Appendix A — Findings (grouped)

The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.

Issue — 2 finding(s)
D34 · Knowledge Freshness · Orphaned knowledge · ×2
  • Orphaned knowledge lib/databases/dynamodb.js — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
  • Orphaned knowledge lib/databases/mongodb.js — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
Warning — 10 finding(s)
D1 · Cyclomatic Complexity · getEventsByRevision (cyclomatic 27) · ×1
  • getEventsByRevision (cyclomatic 27) lib/databases/inmemory.js:192 — getEventsByRevision has cyclomatic complexity 27 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.
D1 · Cyclomatic Complexity · addEventEmitter (cyclomatic 25) · ×1
  • addEventEmitter (cyclomatic 25) lib/storeEventEmitter.js:70 — addEventEmitter has cyclomatic complexity 25 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.
D16 · Bus Factor · dormant codebase · ×1
  • dormant codebase — no living knowledge left to concentrate — All 2 significant source file(s) were last meaningfully changed so long ago that no living knowledge remains — nothing since has been substantial enough to re-establish ownership (a broad, mechanical sweep that touches many files shallowly does not count, and neither does no activity at all). There is no concentration to measure, so the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).
D2 · Cognitive Complexity · getEventsByRevision (cognitive 56) · ×1
  • getEventsByRevision (cognitive 56) lib/databases/inmemory.js:192 — getEventsByRevision has cognitive complexity 56 (threshold 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · addEventEmitter (cognitive 24) · ×1
  • addEventEmitter (cognitive 24) lib/storeEventEmitter.js:70 — addEventEmitter has cognitive complexity 24 (threshold 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · getSnapshot (cognitive 17) · ×1
  • getSnapshot (cognitive 17) lib/databases/inmemory.js:385 — getSnapshot has cognitive complexity 17 (threshold 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · (anonymous) (cognitive 16) · ×1
  • (anonymous) (cognitive 16) lib/databases/elasticsearch.js:124 — (anonymous) has cognitive complexity 16 (threshold 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · getSnapshot (cognitive 16) · ×1
  • getSnapshot (cognitive 16) lib/databases/dynamodb.js:611 — getSnapshot has cognitive complexity 16 (threshold 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D3 · God Classes · FileTooLong · ×1
  • FileTooLong: databases/dynamodb.js lib/databases/dynamodb.js:0 — FileTooLong — 776 significant lines (blank, comment-only and punctuation-only lines excluded; the length bar is tripled for a single-responsibility module of 4 or fewer top-level units). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
D35 · Change Coupling · Change coupling · ×1
  • Change coupling: mongodb.js ↔ tingodb.js lib/databases/mongodb.js — `lib/databases/mongodb.js` and `lib/databases/tingodb.js` change together 70% of the time (19 of the 27 commits that touched the less-changed of the two, renames followed) with no explicit dependency between them. They sit in the same directory, but in this ecosystem each file is its own module — a sibling reference still needs an import — so the missing import edge is real: the coupling runs through shared behaviour, not a declared dependency. If they duplicate structure, extract the common part into one unit; otherwise the coupling is hidden and worth breaking.
Recommendation — 4 finding(s)
D11 · Test Reliability · Test reliability not included · ×1
  • Test reliability not included — Test source is present (.js) 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.
D34 · Knowledge Freshness · Further orphaned files (smaller) · ×1
  • Further orphaned files (smaller) — 10 smaller file(s) also have no living knowledge — folded into the freshness score and metrics rather than listed individually (12 orphaned of 12 analysed files in total, counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first).
D38 · OSV Dependency Vulnerabilities · Scanner failed to run · ×1
  • Scanner failed to run — not a clean result — osv-scanner exited 128 with no findings — the advisory database was likely unreachable. The scanner exited non-zero and produced no findings (typically the advisory DB was unreachable), so this is reported as a measurement gap rather than a clean pass.
D8 · Code Coverage · Coverage not included · ×1
  • Coverage not included — suite not readable by the collector — Coverage NOT MEASURED: test source is present (.js) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (lcov — `vitest --coverage`, `jest --coverage`, `bun test --coverage --coverage-reporter=lcov`, or `nyc`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored.
Info — 2 finding(s)
D12 · Dependency Hygiene · Dependency hygiene not measured · ×1
  • Dependency hygiene not measured — dependency manifest found but not parsed for hygiene — This repository's dependency manifest (package.json) was found, but this pass cannot parse it for hygiene, so no package was assessed. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED — a gap in the analyzer, not a verdict about this repository. This row is about dependency HYGIENE — outdated, deprecated or unmaintained direct dependencies; known CVEs in the same dependency graph are a separate question, reported under D38 wherever the manifest is OSV-readable. Your package.json IS read in this same run: the frontend dependency lens (R8) parses it for unused declarations, undeclared imports and misplaced production dependencies — what is missing here is the outdated/deprecated/unmaintained signal for those npm packages, not the manifest.
D22 · Internal API Consistency · No exposed public API · ×1
  • No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.

Appendix B — Reproduction & audit trail

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

DimensionToolVersionCommandFindingsRaw output
D28 · Secrets (history)gitleaks—gitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .0artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)semgrep—semgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .0artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilitiesnone (no readable dependency manifest)—none (no readable dependency manifest): not present in this environment0—
D31 · IaC & Container Securitytrivy—trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.0—
D32 · Data Compliance (PII/GDPR)semgrep—semgrep: not applicable — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.0—
D33 · JS/npm Dependency Vulnerabilitiestrivy—trivy fs --scanners vuln --format json --quiet --severity CRITICAL,HIGH,MEDIUM,LOW --skip-dirs **/bin/** --skip-dirs **/obj/** . --skip-db-update0—
D36 · Supply-chain Provenance & Signingprovenance—provenance: not applicable — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, Jenkinsfile, .circleci); there is no build to attest provenance for.0—
D37 · Vulnerability-disclosure Policydisclosure—disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.0—
D38 · OSV Dependency Vulnerabilitiesosv-scanner—osv-scanner --format json --recursive .0—
D40 · Network Egress Confinementruntime-hardening—runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.0—
D41 · Kernel & Syscall Confinementruntime-hardening—runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.0—
D42 · Runtime Threat Enforcementruntime-hardening—runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.0—

Run 019fc9b9-f434-7fa4-b304-e2c0f02a5bc7 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Issues: 2 · Warnings: 10 · Recommendations: 4 · Info: 2 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 03-08-2026 @ 22:23 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.

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