Public report — AsyncFlow, published 22 Sep 2026. Concrete security findings (which rule fired, in which file, on which line; CVE IDs, secret matches, dependency versions) are REDACTED in this version; ask the repo owner for the full report.
Public
Codebase survey Measured under the Code Assurance Index · rubric rubric-2026.09.15 (frozen) · verify this survey Filed cd_4b6cf2daf5bd4967a70ab5961f1768fb Filed 25 September 2026, 05:07 UTC Public

AsyncFlow-Sim/AsyncFlow

Measured 22 September 2026, 08:24 UTC

69% Strong
CriticalWeakAdequateStrongExemplary

Small · 4,452 LoC · rebuild ~0.1 person-years · weakest lens: Readiness (51%)

Findings by grade

15 critical 36 serious 5 minor 42 could not be resolved — could be critical — see Limitations

This survey was produced by

Watchdog
Producer
Canine Development
Analyzer
Watchdog engine 1.0.0
Measured
22 September 2026, 08:24 UTC

A measurement, not a certificate. The Code Assurance Index does not certify, approve or guarantee this codebase; it records a reproducible number and the evidence it was computed from. The standard is authored by Canine Development, who also build Watchdog — its only implementation today. That is said here so the number is checked rather than believed.

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

24/27dimensions tool-verifieddeterministic · confidence 1.0 · 3 LLM-assisted, advisory
50findings with an exact file:lineof 56 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
27/115dimensions across the health lenses4452 LoC — wide & deep
Chapters

Executive summary

Preview (pre-1.0). This repo hasn't declared a stable release, so it's judged against a relaxed, pre-production bar.

This system is a strong, well-engineered asset with an overall health score of 69%. Its code is clean and its architecture is sound, meaning the core logic is reliable and easy to maintain. However, the business faces a significant operational risk because the system is not yet ready for safe, automated production deployment. While the code itself is robust, the lack of automated release and security checks creates a fragile handoff to operations, exposing the business to potential outages and security regressions during updates.

The value at stake is modest, with a small codebase that would cost approximately €12,000 to rebuild. This low rebuild cost indicates that the system is not a legacy burden, but rather a nimble component where modernization is straightforward. The high quality of the code and architecture suggests that the team has invested well in design, but this investment is undermined by gaps in operational maturity. The system is small enough that fixing these gaps is cheap, but delaying them leaves the business vulnerable to simple human errors during releases.

The primary risk lies in operational readiness, which scores poorly at 51%. Without automated testing pipelines and deployment stages, every release is a manual, high-risk event. This lack of automation means that changes are not repeatable or reversible, increasing the likelihood of defects reaching production and causing downtime. The cost here is not in code complexity, but in the time and stress required to manage releases manually, which slows down feature delivery and increases the chance of human error.

A secondary concern is security exposure in the development workflow. Although the code is secure, the build process lacks automated security scanning. This means that new vulnerabilities could be introduced without detection, relying on manual review or post-deployment discovery. This gap leaves the business exposed to security incidents that could have been caught early, potentially leading to costly patches and reputational damage.

The system’s strengths are its exceptional code health and architectural clarity, which ensure long-term maintainability. To maximize leverage, the team should first add automated security scanning to the continuous integration pipeline. This single step provides immediate protection against security regressions with minimal effort, securing the foundation before addressing other operational gaps. This approach ensures that future changes are both safe and efficient, balancing speed with reliability.

How the score is built — each lens's share of the headline Width is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
Readiness 51% · 47% weightMaturity 79% · 26% weightSecurity 85% · 14% weightCode Health 96% · 8% weightArchitecture 97% · 4% weight

Raise Readiness 51 → 70 (the Healthy floor) ⇒ headline 69 → ~78.

Code composition — where the lines go
Tests 100%
New since the last scan (43+)

43 finding(s) are new versus the previous scan (2026-08-05) — surfaced by this scheduled scan itself, no pull request required.

  • D4 · Members sharing a duplicated core (5 members, 50+ identical tokens) src/asyncflow/metrics/analyzer.py
  • D4 · Duplicated block (22–23 lines × 2) src/asyncflow/samplers/gaussian_poisson.py
  • D4 · Duplicated block (21 lines × 2) src/asyncflow/metrics/analyzer.py
  • D4 · Duplicated block (14–17 lines × 3) src/asyncflow/metrics/analyzer.py
  • D4 · Duplicated block (9–12 lines × 5) src/asyncflow/metrics/analyzer.py
  • D4 · Duplicated block (12 lines × 3) src/asyncflow/metrics/analyzer.py
  • D4 · Duplicated block (11 lines × 4) src/asyncflow/metrics/analyzer.py
  • D4 · Duplicated block (6 lines × 5) src/asyncflow/metrics/analyzer.py
  • D4 · Near-duplicate member family (4 members, 16 shared lines) examples/yaml_input/event_injections/heavy_single_server.py
  • D4 · Duplicated block (41–43 lines × 2) examples/builder_input/event_injection/lb_two_servers.py
  • D4 · Duplicated block (39 lines × 2) examples/builder_input/event_injection/single_server.py
  • D4 · Duplicated block (37 lines × 3) examples/yaml_input/event_injections/heavy_single_server.py
  • D4 · Duplicated block (30 lines × 3) examples/builder_input/event_injection/lb_two_servers.py
  • D4 · Duplicated block (25–26 lines × 3) examples/builder_input/event_injection/single_server.py
  • D4 · Duplicated block (21–22 lines × 2) examples/builder_input/event_injection/lb_two_servers.py
  • D4 · Duplicated block (20 lines × 3) examples/builder_input/event_injection/lb_two_servers.py
  • D4 · Duplicated block (9 lines × 2) examples/yaml_input/load_balancer/two_servers.py
  • D4 · Duplicated block (7 lines × 2) examples/yaml_input/single_server/single_server.py
  • D4 · Duplicated block (6 lines × 4) examples/yaml_input/event_injections/heavy_single_server.py
  • D4 · Duplicated block (5 lines × 4) examples/yaml_input/event_injections/heavy_single_server.py
  • D4 · Duplicated block (5 lines × 4) examples/yaml_input/event_injections/heavy_single_server.py
  • D15 · Hotspot: src/asyncflow/runtime/actors/server.py src/asyncflow/runtime/actors/server.py
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D29 · REDACTED
  • D30 · REDACTED
  • D30 · REDACTED
  • D30 · REDACTED
  • D30 · REDACTED
  • D30 · REDACTED
  • D30 · REDACTED
  • D36 · REDACTED

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 — €3,900–€20,000
Cost to rebuild€3,900–€20,000 (0.1 person-years (65–207 h), ~1 engineer)
Domain complexityStandard — harder problems cost more per line
Quality factor1.0× (at 69% 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 ~€12,000 to rebuild). Its weakest lens is Readiness at 51% — 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 1.0× 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
Add a SAST step to CI running what this repository's stack ships: bandit, `semgrep --config=p/python`, or CodeQL's python pack — so a security regression fails the build instead of landing.
+16.5 pts · REDACTED effort · Security & performance tooling
2
Automate the release in CI — a deploy stage for a service (Helm/Kubernetes manifests or an equivalent rollout), or a tag-triggered publish job for an artifact — so releases are repeatable and reversible.
+16.5 pts · REDACTED effort · Deployment & Rollback
3
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 each file named `NNNN-title` in whatever markup those docs already use, is the most discoverable form).
+3.5 pts · REDACTED effort · Architecture documentation

Diagnosis — what's actually going on

Value concentrated against a weak lens · REDACTED · Value at risk
This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Readiness at 51%. 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 (4,452 LoC) · weakest lens: Readiness 51%
→ Direct remediation budget at Readiness first — highest risk-reduction per euro on an asset this size.
Highest-leverage move · REDACTED · Leverage
Of everything flagged, the best return on effort is: Add a SAST step to CI running what this repository's stack ships: bandit, `semgrep --config=p/python`, or CodeQL's python pack — so a security regression fails the build instead of landing. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Add a SAST step to CI running what this repository's stack ships: bandit, `semgrep --config=p/python`, or CodeQL's python pack — so a security regression fails the build instead of landing.

Architecture — module dependency matrix

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.)

35 modules, 1 dependency. Every dependency points down the layering — no cycles.

Module dependency matrix. The row depends on the column; the number is how many type pairs create the dependency. A cell above the diagonal is part of a dependency cycle.
depends on →1 examples.builder_input.event_injection2 examples.builder_input.load_balancer3 examples.builder_input.single_server4 examples.yaml_input.event_injections5 examples.yaml_input.load_balancer6 examples.yaml_input.single_server7 src.asyncflow.builder.asyncflow_builder8 src.asyncflow.config.constants9 src.asyncflow.config.plot_constants10 src.asyncflow.metrics11 src.asyncflow.metrics.analyzer12 src.asyncflow.metrics.client13 src.asyncflow.metrics.collector14 src.asyncflow.resources.registry15 src.asyncflow.resources.server_containers16 src.asyncflow.runtime.actors.client17 src.asyncflow.runtime.actors.edge18 src.asyncflow.runtime.actors.load_balancer19 src.asyncflow.runtime.actors.routing20 src.asyncflow.runtime.actors.rqs_generator21 src.asyncflow.runtime.actors.server22 src.asyncflow.runtime.events.injection23 src.asyncflow.runtime.rqs_state24 src.asyncflow.runtime.simulation_runner25 src.asyncflow.samplers26 src.asyncflow.schemas.common.random_variables27 src.asyncflow.schemas.events.injection28 src.asyncflow.schemas.payload29 src.asyncflow.schemas.settings.simulation30 src.asyncflow.schemas.topology.edges31 src.asyncflow.schemas.topology.endpoint32 src.asyncflow.schemas.topology.graph33 src.asyncflow.schemas.topology.nodes34 src.asyncflow.schemas.workload.rqs_generator35 src.asyncflow.resources
1 examples.builder_input.event_injection
2 examples.builder_input.load_balancer
3 examples.builder_input.single_server
4 examples.yaml_input.event_injections
5 examples.yaml_input.load_balancer
6 examples.yaml_input.single_server
7 src.asyncflow.builder.asyncflow_builder
8 src.asyncflow.config.constants
9 src.asyncflow.config.plot_constants
10 src.asyncflow.metrics
11 src.asyncflow.metrics.analyzer
12 src.asyncflow.metrics.client
13 src.asyncflow.metrics.collector
14 src.asyncflow.resources.registry
15 src.asyncflow.resources.server_containers
16 src.asyncflow.runtime.actors.client
17 src.asyncflow.runtime.actors.edge
18 src.asyncflow.runtime.actors.load_balancer
19 src.asyncflow.runtime.actors.routing
20 src.asyncflow.runtime.actors.rqs_generator
21 src.asyncflow.runtime.actors.server
22 src.asyncflow.runtime.events.injection
23 src.asyncflow.runtime.rqs_state
24 src.asyncflow.runtime.simulation_runner
25 src.asyncflow.samplers
26 src.asyncflow.schemas.common.random_variables
27 src.asyncflow.schemas.events.injection
28 src.asyncflow.schemas.payload
29 src.asyncflow.schemas.settings.simulation
30 src.asyncflow.schemas.topology.edges
31 src.asyncflow.schemas.topology.endpoint
32 src.asyncflow.schemas.topology.graph
33 src.asyncflow.schemas.topology.nodes
34 src.asyncflow.schemas.workload.rqs_generator
35 src.asyncflow.resources1
Dependency, pointing down the layeringAbove the diagonal — part of a cycleThe module itself
…input.event_injection…r_input.load_balancer…r_input.single_server…nput.event_injections…l_input.load_balancer…l_input.single_server…der.asyncflow_builder…flow.config.constants…config.plot_constantssrc.asyncflow.metrics…flow.metrics.analyzer…ncflow.metrics.client…low.metrics.collector…ow.resources.registry…ces.server_containers…runtime.actors.client…w.runtime.actors.edge….actors.load_balancer…untime.actors.routing….actors.rqs_generator…runtime.actors.server…time.events.injection…low.runtime.rqs_state…ime.simulation_runnersrc.asyncflow.samplers…mmon.random_variables…emas.events.injection…cflow.schemas.payload…s.settings.simulation…chemas.topology.edges…mas.topology.endpoint…chemas.topology.graph…chemas.topology.nodes…orkload.rqs_generator…c.asyncflow.resources…input.event_injection1…r_input.load_balancer2…r_input.single_server3…nput.event_injections4…l_input.load_balancer5…l_input.single_server6…der.asyncflow_builder7…flow.config.constants8…config.plot_constants9src.asyncflow.metrics10…flow.metrics.analyzer11…ncflow.metrics.client12…low.metrics.collector13…ow.resources.registry14…ces.server_containers15…runtime.actors.client16…w.runtime.actors.edge17….actors.load_balancer18…untime.actors.routing19….actors.rqs_generator20…runtime.actors.server21…time.events.injection22…low.runtime.rqs_state23…ime.simulation_runner24src.asyncflow.samplers25…mmon.random_variables26…emas.events.injection27…cflow.schemas.payload28…s.settings.simulation29…chemas.topology.edges30…mas.topology.endpoint31…chemas.topology.graph32…chemas.topology.nodes33…orkload.rqs_generator34…c.asyncflow.resources351

At a glance — Code Health · 96% · Exemplary ·

At a glance — Architecture · 97% · Exemplary ·

At a glance — Maturity · 79% · Strong ·

At a glance — Readiness · 51% · Adequate · gated by P3, P4 ·

At a glance — Security · 85% · Strong ·

Security & Compliance — OWASP Top-10 mapping

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 categoryFindingsSeverity
A03:2021 — Injection17REDACTED / Critical
A06:2021 — Vulnerable & Outdated Components6REDACTED / Critical

Roadmap

First, integrate security scanning into the CI pipeline to block regressions and resolve the four high-severity static analysis findings. Second, automate the release process in CI to ensure deployments are repeatable and reversible. Finally, document key architectural decisions in a dedicated directory and update the README to improve overall documentation quality.

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

Do thisHelpsEffortDimension
Add a SAST step to CI running what this repository's stack ships: bandit, `semgrep --config=p/python`, or CodeQL's python pack — so a security regression fails the build instead of landing.+16.5 ptsREDACTEDSecurity & performance tooling
Automate the release in CI — a deploy stage for a service (Helm/Kubernetes manifests or an equivalent rollout), or a tag-triggered publish job for an artifact — so releases are repeatable and reversible.+16.5 ptsREDACTEDDeployment & Rollback
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 each file named `NNNN-title` in whatever markup those docs already use, is the most discoverable form).+3.5 ptsREDACTEDArchitecture documentation
Resolve the 4 REDACTED finding(s) charged to Static Analysis (SAST) — the other 10 are reported here at file:line but scored by D36 (supply-chain provenance), which charges them once.+0.9 ptsLowStatic Analysis (SAST)
Resolve the 2 Documentation finding(s) in Documentation Quality — start with README.md (2).+0.9 ptsLowDocumentation Quality
Resolve the 3 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (3).+0.7 ptsLowStatic Analysis (SAST)
Resolve the 1 REDACTED CVE finding(s) in Dependency Vulnerabilities — start with REDACTED.+0.6 ptsLowDependency Vulnerabilities
Resolve the 5 REDACTED CVE finding(s) in Dependency Vulnerabilities — start with REDACTED (5).+0.4 ptsLowDependency Vulnerabilities

File quality

Per-file score 0–10 — a quality signature. Of 13 files carrying findings, judged against the Preview bar: 8% slop · 15% mixed · 77% near-clean.

FileScoreBandWorst signal
REDACTED0.8SlopStatic Analysis (SAST): REDACTED: REDACTED
REDACTED3.1MixedDependency Vulnerabilities: REDACTED CVE: REDACTED
REDACTED4.5MixedStatic Analysis (SAST): REDACTED: REDACTED
src/asyncflow/metrics/analyzer.py7.0Near-cleanCode Duplication: Members sharing a duplicated core (5 members, 50+ identical tokens)
examples/yaml_input/event_injections/heavy_single_server.py7.1Near-cleanCode Duplication: Near-duplicate member family (4 members, 16 shared lines)
examples/builder_input/event_injection/lb_two_servers.py7.2Near-cleanCode Duplication: Duplicated block (41–43 lines × 2)
src/asyncflow/runtime/actors/server.py7.8Near-cleanCyclomatic Complexity: ServerRuntime._handle_request (cyclomatic 17)
examples/builder_input/event_injection/single_server.py7.8Near-cleanCode Duplication: Duplicated block (39 lines × 2)
src/asyncflow/schemas/payload.py8.5Near-cleanCognitive Complexity: SimulationPayload.forbid_overlapping_server_outages (cognitive 22)
src/asyncflow/samplers/gaussian_poisson.py8.5Near-cleanCode Duplication: Duplicated block (22–23 lines × 2)
examples/yaml_input/load_balancer/two_servers.py8.5Near-cleanCode Duplication: Duplicated block (9 lines × 2)
examples/yaml_input/single_server/single_server.py8.5Near-cleanCode Duplication: Duplicated block (7 lines × 2)
README.md9.3Near-cleanDocumentation Quality: Documentation: no installation or build instructions

How the grades work

Every finding carries one of four grades. Three say how serious it is. The fourth says this survey could not settle it — and it is a grade, not a gap.

Critical — 15

A definite problem that already costs you something and drags the score down: a missing authorisation check, a dependency with a known exploit, a build that does not reproduce. Failure here tends to cause failures elsewhere.

Serious — 36

Likely wrong, but not failing yet. It degrades the codebase over a longer horizon and can cause failures elsewhere — not urgent this week, not something to carry for two years either.

Minor — 5

Recorded, with no effect on how the codebase functions. Present so the survey is complete, not because it needs doing.

Could not be resolved — 42

Something this survey could not settle from the outside, and which could be critical or serious. Either a control was required and no positive evidence of it exists in the repository — a backup job that nothing shows was ever restored from proves nothing about restores — or our own analysis could not run over that part of the tree. This is not a clean result. These are excluded from the score rather than awarded a pass, so the number on the cover neither rewards nor penalises them: if you act on this survey without resolving them, you carry that risk yourself. Each one is named under Limitations.

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. 24 of 27 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 3 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.8 — 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 — 27 dimensions across the health lenses
D1D2D3D4D9D11D13D14D15D17D19D21D28D29D30D35D43D44AX10M1M2M3M4P1P3P4P6

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, 50 of 56 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
Watchdog duplication detector (in-process)Code duplication1.0.0✓ deterministic
Coverage (coverlet / dotnet-coverage)Line & branch coverage10.0.400✓ deterministic
NuGet / dotnetOutdated, vulnerable & deprecated dependencies10.0.400✓ 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 01a0c837-07f4-72d0-87da-29a5941bd2f8.

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.

  • D8 Code Coverage — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Coverage NOT READ here — but this repository measures it: a coverage step in CI (`--cov=`) shows that coverage is collected and tracked in your own CI. The built-in collector has no runner for this ecosystem (.py), so the analyzer could not read the number — a gap in the analyzer's language coverage, not an unmeasured repo. Not scored. To have the real number read, produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures. You can widen what we reach: optional: produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures — then the real number is read on the next scan.
  • D12 Dependency Hygiene — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Not scored — 6 shipped Python distribution(s) were read, but the outdated signal needs pypi.org, and no declaration here carries an exact pin to ask about — a floor or a range installs the newest release it admits and cannot be behind one, so this dimension's own question is only partly answered. NOT a finding that these dependencies are current or healthy.
  • D15 Churn × Complexity Hotspots — measured, with a gap in what it reached — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. Git history depth insufficient — this repository has 17 commit(s), too few for a reliable trend signal. The clone is complete, so there is no deeper history to fetch: the signal returns as the project accumulates history.
  • D16 Bus Factor — not measured this run — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. Single-contributor repository — bus factor is not applicable (1 contributor(s) across 17 commit(s) sampled, automation and bot accounts excluded). Concentration needs a team to concentrate: with one contributor there is nobody to spread the knowledge to, so there is nothing here for the owner to act on.
  • D22 Internal API Consistency — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. D22 identifies the intentionally-exposed surface from `IsPackable` and `.Contracts` project names, MSBuild conventions read off the loaded project set. This target exposed no such projects, so the probe never ran; this says nothing about whether the repository has a public API. This repository commits no C#/VB source at all, so there was never an MSBuild project set to read these conventions off. That is OUR side and it is a COLLECTOR gap, not an environment fault: D22 has no public-API collector for any other ecosystem, and the remedy is to write one — no change to the scan image can close it.
  • D34 Knowledge Freshness — not measured this run — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. Too few commits to judge knowledge freshness (17 commit(s) sampled).
  • D35 Change Coupling — measured, with a gap in what it reached — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. Git history depth insufficient — this repository has 17 commit(s), too few for a reliable change-coupling signal. The clone is complete, so there is no deeper history to fetch: the signal returns as the project accumulates history.
  • AX3 Project dependency cycles — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is computed over which project references which — facts that live in .csproj references. This repository either commits no MSBuild project at all (its C# may still have been parsed as syntax-only projects, which carry no references between them) or its projects failed to load, so there was no graph to read. That is a gap in this analyzer's reach — not a finding that the repository is free of what this check looks for.
  • AX4 Dependency direction — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is computed over the direction each project reference points — facts that live in .csproj references. This repository either commits no MSBuild project at all (its C# may still have been parsed as syntax-only projects, which carry no references between them) or its projects failed to load, so there was no graph to read. That is a gap in this analyzer's reach — not a finding that the repository is free of what this check looks for.
  • AX6 Interface segregation — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is computed over the public interfaces this run's compilations declare, and none was loaded, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • AX8 Test isolation — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is computed over which projects are test projects, and what they reference — facts that live in .csproj references. This repository either commits no MSBuild project at all (its C# may still have been parsed as syntax-only projects, which carry no references between them) or its projects failed to load, so there was no graph to read. That is a gap in this analyzer's reach — not a finding that the repository is free of what this check looks for.
  • C1 Data Protection — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These personal data controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks personal data controls.
  • C2 Access Controls — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These authorization controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks authorization controls.
  • C3 Audit Trail — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These audit controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks audit controls.
  • C4 Data Retention — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These retention controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks retention controls.
  • C5 Data-Subject Rights — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These data-subject rights controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks data-subject rights controls.
  • ED5 Idempotency — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check finds retry-prone mutations by walking the repository's declared types, and NONE was loaded on this run, so it had nothing to look at. That is a limit of the analyzer's reach — it reads .NET projects — not a finding that this repository has no command handlers or message consumers.
  • GD1 Unfinished & placeholder code — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • IC1 Incompleteness & stubs — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • S1 Web-Security Posture — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These web-security controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks web-security controls.
  • X1 Async correctness — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X12 Unreachable branch — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X13 Undrained process stream — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X14 Bypassable address classification — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X15 Unvalidated length from an untrusted reader — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X16 Unfloored truncation loop — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X17 Uncapped recursion over a caller-supplied document — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X18 Disposal-pattern correctness — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X19 Unrestored process-global state — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X2 Cancellation propagation — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X20 Mistyped argument guard — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X21 Side-effecting pattern guard — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X22 Contradicted release guard — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X23 Unguarded diagnostic materialisation — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X24 Document value interpolated into markup unescaped — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X25 Inert configuration knob — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X26 Unsynchronised callback handoff — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X27 Collection changed while being enumerated — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X28 Index access outside its own emptiness guard — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X29 Per-element action decided by a fixed element — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X3 Exception handling — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X30 Support guard that admits what it rejects — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X32 Type resolved by simple name across every loaded assembly — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X4 Structured logging — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
  • X5 Nullable reference types — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is implemented over the C# syntax tree, and no C# was loaded on this run, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.

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

Limitations & what we did not check

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

Per-dimension blind spots

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

  • D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
  • D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
  • D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
  • D4 Code Duplication: Duplication is token-similarity — an in-process token-stream comparison over sliding windows, with type-aware normalization — so 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.
  • 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.
  • D11 Test Reliability: Flakiness is inferred from history/markers — Watchdog runs the suite once (for coverage), not the repeated runs under varied conditions that reveal nondeterminism, so a flaky test never recorded as failing is invisible here.
  • 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.
  • 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.
  • 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.
  • 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. Its critique rows are drawn from a closed category vocabulary and each row means the same thing in every run, so two scans can be compared row by row; the SET that fires is still a sample, and does not repeat exactly. Measured on one frozen input, six scans at one engine SHA: 2-5 critique rows per scan, 8 distinct rows across the six, 3 of those 8 seen in only one scan. So a D19 row is evidence about the documentation, but a COUNT of D19 rows is not a quantity — never read a change in it as an improvement or a regression.
  • 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").
  • D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and on the advisory databases — a vulnerability with no published advisory, or in code not declared as a dependency, is not seen. Coverage needs a RESOLVED graph: an unpinned requirements.txt, or a pom without a resolved build, yields partial coverage rather than a clean verdict. An ecosystem the analyzer cannot scan is reported as unmeasured, never as clean.
  • 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.
  • D43 Malicious Dependencies: Only packages some vulnerability database has already NAMED as malicious are seen — a compromise published in the last hours, or never reported at all, is invisible here, and this dimension reading 10 is not evidence that a dependency is trustworthy. There is no typosquat or dependency-confusion analysis: a package nobody has reported is simply absent from the feeds. Coverage is the dependency scan's: an ecosystem that could not be scanned is disclosed as unmeasured, never as clean.
  • D44 Platform End-of-Life: The support table is FROZEN, so it goes out of date by losing RECALL: a release that ended support after the table was written is missed until the table is refreshed, and this dimension reading 10 is not evidence that a platform is current. Only platforms the repository DECLARES in a place this pass reads are seen — a runtime named only in a Dockerfile (D31's subject), in a CI workflow (D29's), or in a file this pass does not parse (go.mod, a Gemfile ruby directive) is invisible here, which is why a repository declaring none of them abstains rather than scoring. Only frameworks with a PUBLISHED support policy are tracked: React, Flask and Express publish none, so their age cannot be judged and their absence from a report is not a statement that they are supported.
  • AX10 Code composition: Role is inferred from namespace/folder convention, not semantics — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
  • M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
  • P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
  • P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.

The LLM boundary

LLM-set scores this run (3): D19, D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score; each names its own sample and method on its card. They 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 Complexity9.8 / 10Stronggated by 1 serious finding✓ 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 9.8 / 10 · rule-coverage 100% · ceiling Prevented

1 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was ServerRuntime._handle_request at 17.

ServerRuntime._handle_request (cyclomatic 17)src/asyncflow/runtime/actors/server.py:79

What to do

  1. Resolve the 1 ServerRuntime._handle_request (cyclomatic 17) finding(s) in Cyclomatic Complexity — start with server.py. — One of this dimension's main actionable groups (1 warning-level).
  2. Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

D2 · Cognitive Complexity9.1 / 10Stronggated by 2 serious findings✓ 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 9.1 / 10 · rule-coverage 100% · ceiling Prevented

2 method(s) exceeded the cognitive complexity threshold of 15; the worst was ServerRuntime._handle_request at 30.

ServerRuntime._handle_request (cognitive 30)src/asyncflow/runtime/actors/server.py:79
SimulationPayload.forbid_overlapping_server_outages (cognitive 22)src/asyncflow/schemas/payload.py:204

What to do

  1. Resolve the 1 ServerRuntime._handle_request (cognitive 30) finding(s) in Cognitive Complexity — start with server.py. — One of this dimension's main actionable groups (1 warning-level).
  2. Resolve the 1 SimulationPayload.forbid_overlapping_server_outages (cognitive 22) finding(s) in Cognitive Complexity — start with payload.py. — One of this dimension's main actionable groups (1 warning-level).
  3. 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 Classes10.0 / 10Exemplary✓ Tool-verified

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

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

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

0 god class(es) detected.

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.md.

D4 · Code Duplication8.5 / 10Strong✓ Tool-verified

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

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

Maturity: Documented → Verified → Prevented · effective 8.5 / 10 · rule-coverage 100% · ceiling Verified

19 duplicated block group(s) detected. A further 2 rows report members as variants of one another; they aggregate block groups already counted above and are not themselves counted. 13 of the 21 are in trees this repository does not ship — vendored, example/demo, fixture and benchmark code — and are ranked below the shipped groups rather than excluded from them: the duplication there is real and is still counted in this dimension's score. The dimensions that publish a production-file census leave those trees out of theirs, so this count is deliberately drawn over the wider population.

Duplicated block (5 lines × 4) · ×2examples/yaml_input/event_injections/heavy_single_server.py:65
Members sharing a duplicated core (5 members, 50+ identical tokens)src/asyncflow/metrics/analyzer.py:270
Duplicated block (22–23 lines × 2)src/asyncflow/samplers/gaussian_poisson.py:72
Duplicated block (21 lines × 2)src/asyncflow/metrics/analyzer.py:457
Duplicated block (14–17 lines × 3)src/asyncflow/metrics/analyzer.py:430

+ 15 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Resolve the 2 Duplicated block (5 lines × 4) finding(s) in Code Duplication — start with heavy_single_server.py (2). — One of this dimension's main actionable groups (2 warning-level).
  2. Resolve the 1 Members sharing a duplicated core (5 members, 50+ identical tokens) finding(s) in Code Duplication — start with analyzer.py. — One of this dimension's main actionable groups (1 warning-level).
  3. Resolve the 1 Duplicated block (22–23 lines × 2) finding(s) in Code Duplication — start with gaussian_poisson.py. — One of this dimension's main actionable groups (1 warning-level).
  4. Enforce Code Duplication in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

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

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.

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

178 test methods: 174 unit, 4 integration, 0 BDD, 0 e2e. The Python suite contributes 178 test function(s) across 31 file(s) declaring at least one — every `def test…` in a file pytest or unittest would collect, which is those frameworks' own definition of a case; a parametrize table counts once, so this is a floor. Its tier split is read from file names and paths only.

✓ On the Gold path — maintain.

Detailed fixes: d9_recommendation.md.

D11 · Test Reliability10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether the tests pass reliably, with no flakiness.

Method: Suite re-run N times within tiered wall-clock budgets (unit to e2e); tests failing non-deterministically across runs flagged; guarded tests retried when #if guards detected.

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

0 flaky across 1 measured tier(s). Python (repository root, 31 test files): measured (0 flaky).

✓ On the Gold path — maintain.

Detailed fixes: d11_recommendation.md.

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

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

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

Maturity: 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.

D14 · License Compliance10.0 / 10Exemplary○ Nothing flagged

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.

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

0 of 20 shipped Python distribution(s) use a banned license. Licences were resolved from PyPI over the distributions a consumer installs — this repository's 6 declared runtime requirement(s) closed transitively over each distribution's published `requires_dist` (14 reached that way). Requirements it states ONLY under an extra, a PEP 735 dependency group, a Poetry dev group or a dev-named requirements file are excluded: pip does not install any of them for a consumer. ★ This repository commits no dependency lockfile that this pass reads, so each licence is the one PyPI publishes for the distribution's CURRENT release rather than for a pinned version. 2 of them publish no licence on PyPI this pass can read; that is missing data, not a violation, and none of them is charged. This repository publishes itself under MIT, which is its own choice and is not judged here.

✓ On the Gold path — maintain.

Detailed fixes: d14_recommendation.md.

D15 · Churn × Complexity Hotspots10.0 / 10Stronggated by 1 serious finding✓ 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

Top hotspots: src/asyncflow/runtime/actors/server.py (4×17=68)

Hotspot: src/asyncflow/runtime/actors/server.pysrc/asyncflow/runtime/actors/server.py:79

What to do

  1. Resolve the 1 Hotspot finding(s) in Churn × Complexity Hotspots — start with server.py. — One of this dimension's main actionable groups (1 warning-level).

Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.

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

What it measures: Acknowledged debt left in the code — TODOs, dead code, suppressed warnings.

Method: Roslyn syntactic debt markers (suppressions/TODO/FIXME/HACK/empty-catch/commented-code/Obsolete) plus SymbolFinder dead-code analysis; weighted-debt-per-KLoC density deducted 2.0x per unit. Deterministic, exhaustive.

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

0 deducted task-comment markers across 4452 LoC (0.0/KLoC) → score 10.0. Task comments only: this repository's language is read without a compiler, so D17's suppression, dead-code and commented-out-code arms did not run and this score counts fewer marker kinds than a .NET repository's would.

✓ On the Gold path — maintain.

Detailed fixes: d17_recommendation.md.

D19 · Documentation QualityExemplary◐ 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 Exemplary / 10 · rule-coverage 100% · ceiling Documented

AsyncFlow's documentation is comprehensive and well-structured: a single README.md (1310 words) gives an excellent overview plus a clipped How Does It Work? section that outlines the directed-graph model, CPU/RAM/I/O semantics, and event injection engine; two architecture/Docs markdown files each at ~2k words cover the Why AsyncFlow, Public API, How-to guides, internals (simulation input schema, server-event injection), runtime philosophy, and requests generator. The README is the only document lacking a dedicated installation section. AsyncFlow's documentation is clear and complete: the README (1 document) gives a one-line overview of what it does, while architecture/design docs cover every major component with detailed data models, validation rules, wiring, and an exhaustive outline. The guides are well-structured for readers who already know how to build or run AsyncFlow — they explain YAML input, programmatic builder usage, the repository layout, branching strategy, CI/CD pipeline, and API references (workload, settings, event injection) with concrete examples and a validation cheat sheet. AsyncFlow's documentation is clear and complete for a simulation framework: the README (1 document) gives an overview of AsyncFlow as a builder/runner/analyzer with public API references for each component, the high-level runner/builder docs, and detailed architecture design documents. The Public API Reference pages are especially thorough — the components reference covers imports, quick example, type coercion, best practices, pitfalls, and where to fit; ResultsAnalyzer has a full Quick start, data model/unit section, computed-metric breakdown, class reference, constructor, core methods, plotting helpers, dashboard, single-server plots, behavior/design notes, examples, custom-throughput-window guidance, and sampled-metric-accessing t/qlen scaling; the architecture docs cover time-series metrics with a Registry/Runtime/Collector layer split plus a case study and edge metric collection. The only unshown section in each public API reference is clipped by the scanner, so those are not flagged as missing.

Documentation: no installation or build instructions · ×2README.md

✓ On the Gold path — maintain.

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

D21 · Naming ConsistencyExemplary◐ 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: Secret scan via TWO gitleaks detect passes in an isolated checkout — the full git history, then a second --no-git pass over the working tree as it stands — merged and de-duplicated by (rule, file, line); each match flagged REDACTED. Both invocations are recorded in the audit trail. Exhaustive; when the tool is absent, or when its output cannot be parsed into the expected shape, the dimension is WITHHELD as an explicit measurement gap on our side — unscored and excluded from the lens, never a hedged middling score.

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)4.3 / 10Weak✓ Tool-verified

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 4.3 / 10 · rule-coverage 100% · ceiling Documented

17 finding(s): 0 critical, 14 high, 3 medium, 0 low. 10 unpinned-GitHub-Actions row(s) are reported here but scored by D36 (supply-chain provenance), which measures that posture as `pinned_actions` — one pinning decision is charged once, not once per lens.

REDACTED
REDACTED

What to do

  1. Resolve the 4 REDACTED finding(s) charged to Static Analysis (SAST) — the other 10 are reported here at file:line but scored by D36 (supply-chain provenance), which charges them once. — One of this dimension's main actionable groups (14 issue-level, 4 of them charged here).
  2. Resolve the 3 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (3). — One of this dimension's main actionable groups (3 warning-level).

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

D30 · Dependency Vulnerabilities8.4 / 10Adequategated by 1 critical finding✓ Tool-verified

What it measures: Whether any dependency has a known published vulnerability (CVE), direct or transitive, in ANY ecosystem the repository declares — Dart pub, Elixir/Hex, Go modules, Java and Kotlin via Maven/Gradle, JavaScript/npm, .NET/NuGet, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift.

Method: Dependency-CVE scan across every ecosystem the repository declares, scored ONCE. Three sources are unioned and deduplicated by advisory identity (rule id + alias closure, CVE<->GHSA) scoped to package+version, keeping the worst severity: `osv-scanner --recursive` over osv.dev for Dart pub, Elixir/Hex, Go, Java and Kotlin via Maven/Gradle, npm, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift; `trivy fs --scanners vuln` for npm lockfiles; and `dotnet list package --vulnerable --include-transitive` for NuGet (with per-advisory collapse of the project x target-framework fan-out), plus a DECLARED-dependency arm that resolves a published gem's gemspec against rubygems.org where no Gemfile.lock is committed. `SeverityScore(c,h,m,l, normalizer 8.0)`. NotApplicable only when NO ecosystem is readable; if any applicable ecosystem could not be scanned the findings are REPORTED and the score is withheld. Supersedes the npm and OSV arms, retired 2026-09-05.

Maturity: Documented → Verified → Prevented · effective 8.4 / 10 · rule-coverage 100% · ceiling Documented

6 finding(s): 0 critical, 1 high, 5 medium, 0 low.

REDACTED
REDACTED

What to do

  1. Resolve the 1 REDACTED CVE finding(s) in Dependency Vulnerabilities — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).
  2. Resolve the 5 REDACTED CVE finding(s) in Dependency Vulnerabilities — start with REDACTED (5). — One of this dimension's main actionable groups (5 warning-level).

Detailed fixes: d30_recommendation.md · top locations in Appendix A, every location in findings.md.

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

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

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

Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling. A non-source file is never a coupling PARTICIPANT either: documentation, schemas, config and data files are dropped with the rest, so a code↔docs pair — a command and the reference page that restates it — is not reported however strongly the two co-change; nor is coupling that runs THROUGH a build step or config file.

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

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

D43 · Malicious Dependencies10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether any dependency the repository declares is published as MALICIOUS rather than merely vulnerable — a package that is an attacker's work, in any ecosystem osv-scanner reads. Scored apart from D30 because the answer is binary: there is no safe version to upgrade to, and the fix is to remove the package and rotate every credential it could have read.

Method: The same dependency scan D30 reads, partitioned on the scanner's own classification rather than rescanned: a row is MALICIOUS when its id is in the `MAL-` space (the ossf/malicious-packages feed) OR its `database_specific.cwe_ids` carries `CWE-506` ("Embedded Malicious Code"). Both channels are structural; the summary text is deliberately NOT read, because a malicious-package record whose summary says only "Critical severity vulnerability" is a real shape ([GHSA redacted]) and a text matcher misses it. Scored BINARY: any surviving row is 0, whatever its severity and however many CVEs sit beside it — a hostile dependency is not a quantity. Applicability and degradation are D30's: NotApplicable only when no ecosystem is readable, and an unscannable ecosystem degrades rather than reading clean. SCORED, not informational.

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

No dependency in any ecosystem this repository declares is published as malicious.

✓ On the Gold path — maintain.

Detailed fixes: d43_recommendation.md.

D44 · Platform End-of-Life10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether anyone still ships security patches for the platform this repository RUNS ON — the runtime it pins and the framework majors its own constraints hold it to. Separate from D12 because the question differs: a current Django on an end-of-life Python is perfectly up to date and completely unsupported, and the fix is a migration rather than a version bump. What the repository says it merely SUPPORTS is never charged.

Method: End-of-life PLATFORM read from the repository's own declarations and graded against a FROZEN, dated table of vendor support dates — no network, no feed, no API, so this dimension answers identically inside a closed scan fence. Two subjects: a RUNTIME the project pins (a single or all-end-of-life TargetFramework, a .nvmrc or .python-version, a requires-python CAP) and a FRAMEWORK major a dependency constraint cannot move off (a caret, tilde or exact version; `vue@^2.7.16` pins Vue 2). A FLOOR is deliberately never charged — `requires-python = ">=3.8"` states what a package SUPPORTS, not what it runs on — and a multi-target project is charged only when EVERY target is out of support. Runtime 4.0/product capped 8.0, framework 1.5 capped 4.5. The table is safe to freeze because a statement about support that ended in the past cannot become false: it loses recall as it ages, never precision, and a test asserts every entry predates the freeze date. Disjoint from D31 (a container image's OS layer) and D29 (the toolchain a CI workflow installs). Abstains when the repository declares no platform this pass reads — never scores it clean.

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

0 end-of-life runtime(s) and 0 end-of-life framework(s), read from 0 platform declaration(s) and 6 dependency declaration(s). This dimension reads what the repository says about ITSELF — a pinned target framework, a version file, a capped requires-python, a framework major a constraint cannot move off. A FLOOR is deliberately never charged: `requires-python = ">=3.8"` states what the package SUPPORTS, not what it runs on, and a well-maintained library declares exactly that while running its own CI on a current release. The end-of-life facts are FROZEN and dated, so this dimension needs no network and answers identically inside a closed scan fence; as the table ages it loses recall and never precision, because a statement about support that ended in the past cannot become false. The OS layer of a container image is D31's question and the toolchain a CI workflow installs is D29's; this row is neither.

✓ On the Gold path — maintain.

Detailed fixes: d44_recommendation.md.

Frontend & cross-cutting dimensions

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

AX10 · Code composition9.5 / 10Exemplary✓ Tool-verified

Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified. How each file's role is decided, because the split is only as good as that: a generated name or a build-output tree makes it Generated, a test project makes it Test, and otherwise the file's NAMESPACE and PATH words are matched against fixed vocabularies in a fixed ORDER — domain, then infrastructure, then application — so a file whose words hit two layers is counted under the earlier one. A production file matching none of them counts as application, so that share reads 'application or unclassified' rather than a measured application layer. Roles come from naming convention, never from what the code does. On this repository the split was taken from the source tree on disk rather than from a loaded .NET workspace, so a file's role is decided by its PATH segments alone — no declared namespace was available to add to the evidence — and generated output is excluded from the census entirely rather than counted as a generated share.

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, but most of the rest matched no layer vocabulary at all — so this is not yet an anemic-domain finding. The namespace/path convention could not place that code, which makes the composition above a statement about the naming, not about the design. Name the layers (or check that the repository's conventions differ from the ones this check knows) before reading a thin domain into it.
M1 · Documentation (README)8.0 / 10Strong✓ 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.

M2 · Architecture documentation5.0 / 10Adequate✓ 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 numbered `NNNN-title` documents in any markup this check reads, 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 each file named `NNNN-title` in whatever markup those docs already use, is the most discoverable form).
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 gates10.0 / 10Exemplary○ Nothing flagged

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.

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 bandit, `semgrep --config=p/python`, or CodeQL's python pack as a CI step. What was searched, so you can tell an absence from a miss: the 4184 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.

What to do

  • Add a SAST step to CI running what this repository's stack ships: bandit, `semgrep --config=p/python`, or CodeQL's python pack — 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.
P4 · Deployment & Rollback2.0 / 10Weak✓ Tool-verified

Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.

Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.

  • No release automation was found in CI — neither a deploy stage (Helm/Kubernetes/compose manifests, an orchestrated rollout) nor a publish job that ships the built artifact. Releases appear to be run by hand, which is slower, less repeatable and harder to reverse.

What to do

  • Automate the release in CI — a deploy stage for a service (Helm/Kubernetes manifests or an equivalent rollout), or a tag-triggered publish job for an artifact — so releases are repeatable and reversible.
P6 · Release Hygiene10.0 / 10Exemplary✓ 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.

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 Health96%ExemplarySolid.
Architecture97%ExemplaryStrongest area.
Maturity79%StrongSolid.
Readiness51%Adequate — gated by P3, P4Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security85%StrongSolid.
Unscored — 1 check(s) recorded observations but carry no score

These checks ran and found something, but they do not carry a score — either by design (an advisory check reports evidence rather than grading it) or because they could not be scored here. They are excluded from the score for that reason, not because there was nothing to see.

  • P12 CI test-gate honesty — 1 observation(s) recorded · Reported, not scored — this card publishes what the CI gate does with the test inventory rather than grading it. The findings above are its output.
Not evidenced — 4 control(s) we could not find positive evidence for

These checks grade a working control, and the repository shows no evidence of one. That is deliberately not scored as a zero: a repository cannot show an ops runbook, a database TTL or an infrastructure-side audit log, so absence of evidence here is not evidence the control is missing. It is also not a statement that the check is irrelevant to this codebase — the thing it grades applies; we just could not see it. Excluded from the score either way.

  • 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.
  • P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
Not included — 83 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
  • 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
  • AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • 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.
  • D10 Test Quality — ~4780 lines of test source are present (.py) but no test cases reached the test census for this repository — no test root we could resolve declared them, or the files we read declare no cases in a test framework we recognise — so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
  • D12 Dependency Hygiene — Not scored — 6 shipped Python distribution(s) were read, but the outdated signal needs pypi.org, and no declaration here carries an exact pin to ask about — a floor or a range installs the newest release it admits and cannot be behind one, so this dimension's own question is only partly answered. NOT a finding that these dependencies are current or healthy.
  • D16 Bus Factor — single-contributor repository — bus factor is not applicable
  • 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 — The exposed public-API surface could not be collected — no C#/VB projects loaded.
  • D23 Boundary Type-Coupling — Production source is present (.py) but bounded contexts are resolved over the C#/VB project set, which exposed none, so context scope could not be assessed. Not scored — this is a gap in the analyzer, not a verdict about this repository. Declaring the codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed — see the recommendation on this dimension for where. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
  • 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 — symbol resolution incomplete — navigability not assessed
  • D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Docker Compose, Terraform, Kubernetes/Helm, CloudFormation, ARM, Bicep, Ansible); nothing to scan.
  • D32 Data Compliance (PII/GDPR) — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.
  • D34 Knowledge Freshness — too few commits to judge knowledge freshness
  • 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). Build integrity and workflow-token hygiene are reported below: they describe what the CI runs and the token it runs with, neither of which is affected by whether the pipeline ships an artifact.
  • 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 — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
  • 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) — Cohesion (LCOM4) is measured over a CS/VB/GO/SCALA/SWIFT/DART class graph, and this repository's production source is .py, which this pass does not read — so no class could be assessed. Not scored — this is a gap in the analyzer, not a finding about this repository.
  • 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
  • DM1 Domain Modelling — not scored — this repository shows only 1 of the 3 signals this lens looks for (20 value object(s))
  • ED1 Event-Driven — not scored — this repository shows none of the 3 signals this lens looks for
  • ED5 Idempotency — This check finds retry-prone mutations (command handlers and message/event consumers) by walking the repository's declared types, and none was loaded here, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this lens looks for
  • GD1 Unfinished & placeholder code — no source files were read — this check reads C# syntax, and none was loaded for this repository. That is a limit of the analyzer, not a finding about your code.
  • 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
  • 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.
  • 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 (`coverage run -m pytest` then `coverage xml`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures, 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.
  • 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.
  • 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
  • X12 Unreachable branch — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X13 Undrained process stream — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X14 Bypassable address classification — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X15 Unvalidated length from an untrusted reader — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X16 Unfloored truncation loop — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X17 Uncapped recursion over a caller-supplied document — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X18 Disposal-pattern correctness — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X19 Unrestored process-global state — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • 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
  • X20 Mistyped argument guard — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X21 Side-effecting pattern guard — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X22 Contradicted release guard — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X23 Unguarded diagnostic materialisation — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X24 Document value interpolated into markup unescaped — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X25 Inert configuration knob — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X26 Unsynchronised callback handoff — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X27 Collection changed while being enumerated — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X28 Index access outside its own emptiness guard — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X29 Per-element action decided by a fixed element — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • 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
  • X30 Support guard that admits what it rejects — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • X32 Type resolved by simple name across every loaded assembly — This check reads C# syntax; no C# was loaded for this repository, so it has nothing to report. That is a limit of the analyzer, not a finding about your code.
  • 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
  • X9 Subsumed condition operand — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.

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.

Critical — 15 finding(s)
D29 · Static Analysis (SAST) · REDACTED · ×14
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
D30 · Dependency Vulnerabilities · REDACTED CVE · ×1
  • REDACTED
Serious — 36 finding(s)
D30 · Dependency Vulnerabilities · REDACTED CVE · ×5
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
D29 · Static Analysis (SAST) · REDACTED · ×3
  • REDACTED
  • REDACTED
  • REDACTED
D4 · Code Duplication · Duplicated block (5 lines × 4) · ×2
  • Duplicated block (5 lines × 4) examples/yaml_input/event_injections/heavy_single_server.py:65 — examples/yaml_input/event_injections/heavy_single_server.py:65-69 | examples/yaml_input/event_injections/lb_two_servers.py:61-65 | examples/yaml_input/event_injections/single_server.py:65-69 | examples/yaml_input/single_server/single_server.py:94-98 — before extracting anything, compare `examples/yaml_input/event_injections/heavy_single_server.py` and `examples/yaml_input/event_injections/lb_two_servers.py` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 53 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place.
  • Duplicated block (5 lines × 4) examples/yaml_input/event_injections/heavy_single_server.py:73 — examples/yaml_input/event_injections/heavy_single_server.py:73-77 | examples/yaml_input/event_injections/lb_two_servers.py:69-73 | examples/yaml_input/event_injections/single_server.py:73-77 | examples/yaml_input/single_server/single_server.py:102-106 — before extracting anything, compare `examples/yaml_input/event_injections/heavy_single_server.py` and `examples/yaml_input/event_injections/lb_two_servers.py` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 53 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place.
D1 · Cyclomatic Complexity · ServerRuntime._handle_request (cyclomatic 17) · ×1
  • ServerRuntime._handle_request (cyclomatic 17) src/asyncflow/runtime/actors/server.py:79 — ServerRuntime._handle_request has cyclomatic complexity 17 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
D15 · Churn × Complexity Hotspots · Hotspot · ×1
  • Hotspot: src/asyncflow/runtime/actors/server.py src/asyncflow/runtime/actors/server.py:79 — src/asyncflow/runtime/actors/server.py changed 4 times in last 90 days, max cyclomatic complexity 17 in ServerRuntime._handle_request at line 79. 1 of those changes was a fix/bug commit, and the other 3 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2025-06-20..2025-09-18, the 90 days ending at the analysed commit. Reproduce with `git log --since='2025-06-20 17:21:29 +02:00' --until='2025-09-18 17:21:29 +02:00' --full-history --no-merges -- src/asyncflow/runtime/actors/server.py`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
D2 · Cognitive Complexity · ServerRuntime._handle_request (cognitive 30) · ×1
  • ServerRuntime._handle_request (cognitive 30) src/asyncflow/runtime/actors/server.py:79 — ServerRuntime._handle_request has cognitive complexity 30 (threshold 15). Drivers by points: if/else 13 (29 pts), loops 1 (nesting depth added 16). 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 · SimulationPayload.forbid_overlapping_server_outages (cognitive 22) · ×1
  • SimulationPayload.forbid_overlapping_server_outages (cognitive 22) src/asyncflow/schemas/payload.py:204 — SimulationPayload.forbid_overlapping_server_outages has cognitive complexity 22 (threshold 15). Drivers by points: if/else 7 (17 pts), loops 3 (4 pts), boolean chains 1 (nesting depth added 11). 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.
D36 · Supply-chain Provenance & Signing · REDACTED · ×1
  • REDACTED
D4 · Code Duplication · Members sharing a duplicated core (5 members, 50+ identical tokens) · ×1
  • Members sharing a duplicated core (5 members, 50+ identical tokens) src/asyncflow/metrics/analyzer.py:270 — src/asyncflow/metrics/analyzer.py:270-347 | src/asyncflow/metrics/analyzer.py:351-419 | src/asyncflow/metrics/analyzer.py:424-479 | src/asyncflow/metrics/analyzer.py:482-533 | src/asyncflow/metrics/analyzer.py:538-589 — These 5 members share a duplicated core: a run of at least 50 identical tokens appears in every one of them. That run is NOT broken out as duplicated-block rows below — it is what admitted this row, and the blocks below cover only the part of it that clears the block floor, so they understate the correspondence. Read the members as one construct written 5 times. The repair is at the members' grain — factor the shared implementation out once and have all of them call it with their differences as parameters or as an injected step, or, where the difference is systematic, generate them from one template. Extracting the individual blocks below is not the same fix: it leaves every body in place and the next edit still has to be made 5 times.
D4 · Code Duplication · Duplicated block (22–23 lines × 2) · ×1
  • Duplicated block (22–23 lines × 2) src/asyncflow/samplers/gaussian_poisson.py:72 — src/asyncflow/samplers/gaussian_poisson.py:72-94 | src/asyncflow/samplers/poisson_poisson.py:61-82 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `src/asyncflow/samplers/gaussian_poisson.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. 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.
D4 · Code Duplication · Duplicated block (21 lines × 2) · ×1
  • Duplicated block (21 lines × 2) src/asyncflow/metrics/analyzer.py:457 — src/asyncflow/metrics/analyzer.py:457-477 | src/asyncflow/metrics/analyzer.py:511-531 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/asyncflow/metrics/analyzer.py:457` 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.
D4 · Code Duplication · Duplicated block (14–17 lines × 3) · ×1
  • Duplicated block (14–17 lines × 3) src/asyncflow/metrics/analyzer.py:430 — src/asyncflow/metrics/analyzer.py:430-446 | src/asyncflow/metrics/analyzer.py:488-501 | src/asyncflow/metrics/analyzer.py:544-557 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one 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.
D4 · Code Duplication · Duplicated block (9–12 lines × 5) · ×1
  • Duplicated block (9–12 lines × 5) src/asyncflow/metrics/analyzer.py:313 — src/asyncflow/metrics/analyzer.py:313-324 | src/asyncflow/metrics/analyzer.py:389-400 | src/asyncflow/metrics/analyzer.py:451-459 | src/asyncflow/metrics/analyzer.py:505-513 | src/asyncflow/metrics/analyzer.py:561-569 — all 5 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/asyncflow/metrics/analyzer.py:313` 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.
D4 · Code Duplication · Duplicated block (12 lines × 3) · ×1
  • Duplicated block (12 lines × 3) src/asyncflow/metrics/analyzer.py:467 — src/asyncflow/metrics/analyzer.py:467-478 | src/asyncflow/metrics/analyzer.py:521-532 | src/asyncflow/metrics/analyzer.py:577-588 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited.
D4 · Code Duplication · Duplicated block (11 lines × 4) · ×1
  • Duplicated block (11 lines × 4) src/asyncflow/metrics/analyzer.py:409 — src/asyncflow/metrics/analyzer.py:409-419 | src/asyncflow/metrics/analyzer.py:469-479 | src/asyncflow/metrics/analyzer.py:523-533 | src/asyncflow/metrics/analyzer.py:579-589 — all 4 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited.
D4 · Code Duplication · Duplicated block (6 lines × 5) · ×1
  • Duplicated block (6 lines × 5) src/asyncflow/metrics/analyzer.py:326 — src/asyncflow/metrics/analyzer.py:326-331 | src/asyncflow/metrics/analyzer.py:398-403 | src/asyncflow/metrics/analyzer.py:457-462 | src/asyncflow/metrics/analyzer.py:511-516 | src/asyncflow/metrics/analyzer.py:567-572 — all 5 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/asyncflow/metrics/analyzer.py:326` 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.
D4 · Code Duplication · Near-duplicate member family (4 members, 16 shared lines) · ×1
  • Near-duplicate member family (4 members, 16 shared lines) examples/yaml_input/event_injections/heavy_single_server.py:27 — examples/yaml_input/event_injections/heavy_single_server.py:27-78 | examples/yaml_input/event_injections/lb_two_servers.py:23-74 | examples/yaml_input/event_injections/single_server.py:27-78 | examples/yaml_input/single_server/single_server.py:55-107 — These 4 members are variants of one another: a block of 16 lines reported below appears in every one of them, and the pairwise near-duplicate rows they would otherwise produce are collapsed into this row. Read them as one construct written 4 times. The repair is at the members' grain — factor the shared implementation out once and have all of them call it with their differences as parameters or as an injected step, or, where the difference is systematic, generate them from one template. Extracting the individual blocks below is not the same fix: it leaves every body in place and the next edit still has to be made 4 times.
D4 · Code Duplication · Duplicated block (41–43 lines × 2) · ×1
  • Duplicated block (41–43 lines × 2) examples/builder_input/event_injection/lb_two_servers.py:196 — examples/builder_input/event_injection/lb_two_servers.py:196-236 | examples/builder_input/event_injection/single_server.py:141-183 — before extracting anything, compare `examples/builder_input/event_injection/lb_two_servers.py` and `examples/builder_input/event_injection/single_server.py` as WHOLE FILES: this scan already matched 3 separate duplicated blocks between them, totalling at least 93 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place.
D4 · Code Duplication · Duplicated block (39 lines × 2) · ×1
  • Duplicated block (39 lines × 2) examples/builder_input/event_injection/single_server.py:53 — examples/builder_input/event_injection/single_server.py:53-91 | examples/builder_input/single_server/single_server.py:48-86 — `examples/builder_input/event_injection/single_server.py` and `examples/builder_input/single_server/single_server.py` are one unit implemented once per sibling directory, so they are most likely parallel implementations of one contract rather than a copy of each other — this scan matched 4 separate duplicated blocks between them, totalling at least 115 lines. If both are selected at run time, neither can be retired in favour of the other, and the lines that DIFFER between them are the reason both exist. The move that pays here is to hoist the identical part into a shared location the whole family can reach and give what differs a parameter or a seam, so a change lands once instead of once per sibling; extracting one helper per block leaves every sibling to drift on its own. Read the line range as the matched WINDOW rather than a finished unit: at `examples/builder_input/event_injection/single_server.py:53` 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.
D4 · Code Duplication · Duplicated block (37 lines × 3) · ×1
  • Duplicated block (37 lines × 3) examples/yaml_input/event_injections/heavy_single_server.py:42 — examples/yaml_input/event_injections/heavy_single_server.py:42-78 | examples/yaml_input/event_injections/lb_two_servers.py:38-74 | examples/yaml_input/event_injections/single_server.py:42-78 — before extracting anything, compare `examples/yaml_input/event_injections/heavy_single_server.py` and `examples/yaml_input/event_injections/lb_two_servers.py` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 53 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `examples/yaml_input/event_injections/heavy_single_server.py:39` calls `mkdir` and `examples/yaml_input/event_injections/lb_two_servers.py:35` does not — after which the two agree again for 3 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
D4 · Code Duplication · Duplicated block (30 lines × 3) · ×1
  • Duplicated block (30 lines × 3) examples/builder_input/event_injection/lb_two_servers.py:110 — examples/builder_input/event_injection/lb_two_servers.py:110-139 | examples/builder_input/event_injection/single_server.py:89-118 | examples/builder_input/single_server/single_server.py:84-113 — before extracting anything, compare `examples/builder_input/event_injection/lb_two_servers.py` and `examples/builder_input/event_injection/single_server.py` as WHOLE FILES: this scan already matched 3 separate duplicated blocks between them, totalling at least 93 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `examples/builder_input/event_injection/lb_two_servers.py:110` 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.
D4 · Code Duplication · Duplicated block (25–26 lines × 3) · ×1
  • Duplicated block (25–26 lines × 3) examples/builder_input/event_injection/single_server.py:55 — examples/builder_input/event_injection/single_server.py:55-79 | examples/builder_input/load_balancer/two_servers.py:61-86 | examples/builder_input/single_server/single_server.py:50-74 — `examples/builder_input/event_injection/single_server.py` and `examples/builder_input/single_server/single_server.py` are one unit implemented once per sibling directory, so they are most likely parallel implementations of one contract rather than a copy of each other — this scan matched 4 separate duplicated blocks between them, totalling at least 115 lines. If both are selected at run time, neither can be retired in favour of the other, and the lines that DIFFER between them are the reason both exist. The move that pays here is to hoist the identical part into a shared location the whole family can reach and give what differs a parameter or a seam, so a change lands once instead of once per sibling; extracting one helper per block leaves every sibling to drift on its own.
D4 · Code Duplication · Duplicated block (21–22 lines × 2) · ×1
  • Duplicated block (21–22 lines × 2) examples/builder_input/event_injection/lb_two_servers.py:60 — examples/builder_input/event_injection/lb_two_servers.py:60-80 | examples/builder_input/load_balancer/two_servers.py:75-96 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `examples/builder_input/event_injection/lb_two_servers.py:60` 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.
D4 · Code Duplication · Duplicated block (20 lines × 3) · ×1
  • Duplicated block (20 lines × 3) examples/builder_input/event_injection/lb_two_servers.py:82 — examples/builder_input/event_injection/lb_two_servers.py:82-101 | examples/builder_input/event_injection/single_server.py:79-98 | examples/builder_input/single_server/single_server.py:74-93 — before extracting anything, compare `examples/builder_input/event_injection/lb_two_servers.py` and `examples/builder_input/event_injection/single_server.py` as WHOLE FILES: this scan already matched 3 separate duplicated blocks between them, totalling at least 93 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `examples/builder_input/event_injection/lb_two_servers.py:82` 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.
D4 · Code Duplication · Duplicated block (9 lines × 2) · ×1
  • Duplicated block (9 lines × 2) examples/yaml_input/load_balancer/two_servers.py:37 — examples/yaml_input/load_balancer/two_servers.py:37-45 | examples/yaml_input/single_server/single_server.py:64-72 — 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.
D4 · Code Duplication · Duplicated block (7 lines × 2) · ×1
  • Duplicated block (7 lines × 2) examples/yaml_input/single_server/single_server.py:88 — examples/yaml_input/single_server/single_server.py:88-94 | examples/yaml_input/single_server/single_server.py:96-102 — 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.
D4 · Code Duplication · Duplicated block (6 lines × 4) · ×1
  • Duplicated block (6 lines × 4) examples/yaml_input/event_injections/heavy_single_server.py:47 — examples/yaml_input/event_injections/heavy_single_server.py:47-52 | examples/yaml_input/event_injections/lb_two_servers.py:43-48 | examples/yaml_input/event_injections/single_server.py:47-52 | examples/yaml_input/single_server/single_server.py:75-80 — before extracting anything, compare `examples/yaml_input/event_injections/heavy_single_server.py` and `examples/yaml_input/event_injections/lb_two_servers.py` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 53 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place.
P12 · CI test-gate honesty · Coverage collected but not gated · ×1
  • Coverage collected but not gated — CI collects a coverage report but no step enforces a minimum — coverage could halve and CI stays green. Add a step that fails the build when coverage drops below a floor (your coverage tool's minimum-threshold flag, or a coverage-gate action) so the number guards something. What was searched, so you can tell an absence from a miss: this repository's CI files AND its coverage configuration — the well-known coverage and test-runner config files, read at the repository root and inside workspace package directories two levels down, so a floor declared beside the tests rather than in the pipeline is credited — matched against the threshold settings this check knows by name. A floor set in your coverage service's web UI rather than in a committed file, or under a setting whose name is not one of those, is not seen here.
P4 · Deployment & Rollback · No deployment automation · ×1
  • No deployment automation — No release automation was found in CI — neither a deploy stage (Helm/Kubernetes/compose manifests, an orchestrated rollout) nor a publish job that ships the built artifact. Releases appear to be run by hand, which is slower, less repeatable and harder to reverse.
Minor — 5 finding(s)
D19 · Documentation Quality · Documentation · ×2
  • Documentation: no installation or build instructions README.md — No install/build/run instructions for installing AsyncFlow from source or running the first example. Add an Install/Requirements section covering Python, pip, and the prerequisites, plus a Quick Start that runs the 10-second YAML scenario.
  • Documentation: no usage examples README.md — The README describes what AsyncFlow does but provides no runnable usage examples. Add a Usage section with code for running the minimal YAML example and interpreting results, or link to the Quick Start in the existing docs.
D36 · Supply-chain Provenance & Signing · REDACTED · ×1
  • REDACTED
M2 · Architecture documentation · No ADRs · ×1
  • No ADRs — No Architecture Decision Records found — no conventional ADR directory, no numbered `NNNN-title` documents in any markup this check reads, 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.
P3 · Security & performance tooling · No SAST · ×1
  • No SAST — No static application security testing detected. For this repository's stack, add bandit, `semgrep --config=p/python`, or CodeQL's python pack as a CI step. What was searched, so you can tell an absence from a miss: the 4184 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.

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 --config /opt/gitleaks-rules/watchdog-gitleaks.toml --report-format json --report-path /tmp/watchdog-gitleaks-1dd38953eb9740b0b02441c752ebc135/history.json --exit-code 0 --source .0artifacts/raw/gitleaks-history.json
D28 · Secrets (history)gitleaks—gitleaks detect --no-git --no-banner --config /opt/gitleaks-rules/watchdog-gitleaks.toml --report-format json --report-path /tmp/watchdog-gitleaks-1dd38953eb9740b0b02441c752ebc135/tree.json --exit-code 0 --source .0artifacts/raw/gitleaks-tree.json
D29 · Static Analysis (SAST)semgrep—semgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --config /opt/semgrep-rules/watchdog-sast.yml --json --quiet --timeout 10 --timeout-threshold 3 --metrics off .17artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilitiesosv-scanner—osv-scanner --format json --recursive .6artifacts/raw/osv-scanner.json
D31 · IaC & Container Securitytrivy—trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Docker Compose, Terraform, Kubernetes/Helm, CloudFormation, ARM, Bicep, Ansible); nothing to scan.0—
D32 · Data Compliance (PII/GDPR)semgrep—semgrep: not applicable — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.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—
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—
D43 · Malicious Dependenciesosv-scanner—osv-scanner --format json --recursive .0artifacts/raw/osv-scanner.json

Run 01a0c837-07f4-72d0-87da-29a5941bd2f8 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Downloadable artifacts

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

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