Public report — erlang-python, published 2 Oct 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, but not filed — nothing here carries a record a reader can check independently. How a survey is verified No record

Benoitc/erlang-Python

Measured 2 October 2026, 07:15 UTC

65% Adequate
CriticalWeakAdequateStrongExemplary

Medium · 23,197 LoC · 2 projects · rebuild ~0.4 person-years · weakest lens: Security (58%)

Findings by grade

36 critical 31 serious 5 minor 49 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
2 October 2026, 07:15 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 ▸

26/31dimensions tool-verifieddeterministic · confidence 1.0 · 5 LLM-assisted, advisory
66findings with an exact file:lineof 72 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
31/121dimensions across the health lenses23197 LoC · 2 projects — wide & deep
Chapters

Executive summary

The system holds an adequate overall standing of 65%, reflecting a well-engineered foundation that carries moderate operational risk. While the code is clean and the architecture is robust, the asset is not yet fully prepared for the rigors of production. This gap creates a specific exposure that leadership must address to ensure reliable delivery and secure operations.

The value at stake is concentrated in a medium-sized asset requiring approximately 0.4 person-years to rebuild, with a cost estimate around €56,000. The codebase is highly efficient, containing virtually no boilerplate or straight-line logic, which suggests a mature development process. However, the business impact of any failure is amplified by the system’s current readiness gaps, making stability and security critical for protecting this investment.

The primary risk lies in security exposure, which scores lowest at 58%. This weakness is particularly concerning given the asset’s size and the potential for undetected vulnerabilities to impact business continuity. Additionally, the system’s production readiness is only adequate at 65%, indicating that while the code is sound, the operational safeguards are incomplete. This lack of comprehensive observability means that issues in production may be difficult to diagnose quickly, leading to longer outages and higher support costs.

Despite these risks, the system boasts genuine strengths in code health and architecture, both scoring near perfection. This indicates that the core logic is maintainable and scalable, providing a solid base for future enhancements. The high maturity score further suggests that the team has established good practices, although these are not yet fully reflected in the operational layer.

To maximize leverage, the immediate focus should be on extending structured logging to all runnable modules. This single action will significantly improve diagnosability, allowing the team to detect and resolve issues faster, thereby reducing downtime and operational friction. Addressing this will also provide the visibility needed to tackle the remaining security findings effectively, ensuring the system becomes both more secure and more reliable.

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.
Security 58% · 46% weightReadiness 65% · 25% weightPerformance 70% · 14% weightMaturity 77% · 8% weightCode Health 98% · 4% weightArchitecture 100% · 2% weight

Raise Security 58 → 70 (the Healthy floor) ⇒ headline 65 → ~70.

Code composition — where the lines go
Tests 100%
New since the last scan (12+)

12 finding(s) are new versus the previous scan (2026-09-17) — surfaced by this scheduled scan itself, no pull request required.

  • D4 · Duplicated block (9 lines × 2) priv/_erlang_impl/_loop.py
  • D4 · Duplicated block (8 lines × 2) priv/_erlang_impl/_byte_channel.py
  • D4 · Duplicated block (10 lines × 2) examples/ai_helpers.py
  • D4 · Duplicated block (10 lines × 2) examples/benchmark_event_loop.py
  • D4 · Duplicated block (7 lines × 2) examples/benchmark_event_loop.py
  • D4 · Duplicated block (6 lines × 3) examples/benchmark_event_loop.py
  • D4 · Duplicated block (2–6 lines × 3) examples/benchmark_event_loop.py
  • D4 · Duplicated block (6 lines × 3) examples/benchmark_event_loop.py
  • D4 · Duplicated block (7 lines × 2) examples/benchmark_event_loop.py
  • D15 · Hotspot: priv/_erlang_impl/_loop.py priv/_erlang_impl/_loop.py
  • PF3 · Sync-over-async blocking test/py_test_isolated.py
  • PF3 · Sync-over-async blocking test/py_test_workerloop.py

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 — €19,000–€94,000
Cost to rebuild€19,000–€94,000 (0.2–0.6 person-years (313–991 h), ~1 engineer)
Domain complexityStandard — harder problems cost more per line
Quality factor0.9× (at 65% quality) — the last 20% of quality is most of the work
Size & shapeMedium · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)

This codebase represents roughly ~0.4 person-years of build effort (about ~€56,000 to rebuild). Its weakest lens is Security at 58% — the part of that asset most exposed by the findings below.

How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.0) — standard service × a 0.9× 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
Resolve the 3 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (3).
+2.8 pts · Low effort · Static Analysis (SAST)
2
Extend structured logging to the remaining runnable modules so everything you run is diagnosable in production.
+4.1 pts · Medium effort · Observability
3
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
+4.1 pts · Medium effort · Deployment & Rollback

Diagnosis — what's actually going on

Value concentrated against a weak lens · Medium · Value at risk
This is a Medium asset (~0.4 person-years to rebuild), and its weakest lens is Security at 58%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
Evidence: valuation: Medium, ~0.4 person-years rebuild (23,197 LoC) · weakest lens: Security 58%
→ Direct remediation budget at Security first — highest risk-reduction per euro on an asset this size.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Extend structured logging to the remaining runnable modules so everything you run is diagnosable in production. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Extend structured logging to the remaining runnable modules so everything you run is diagnosable in production.

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.)

30 modules, 3 dependencies. 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 (global)2 examples3 examples.benchmark_event_loop4 examples.io_bench5 examples.reentrant_demo6 priv._erlang_impl._byte_channel7 priv._erlang_impl._channel8 priv._erlang_impl._etf9 priv._erlang_impl._isolated10 priv._erlang_impl._loop11 priv._erlang_impl._mode12 priv._erlang_impl._policy13 priv._erlang_impl._reactor14 priv._erlang_impl._shm15 priv._erlang_impl._transport16 priv.tests17 py_context_embedded18 py_event_loop19 py_event_loop_pool20 py_event_worker21 py_isolated22 py_reactor_context23 py_shm24 py_thread_handler25 scripts26 test27 test.py_test_isolated28 test.py_test_workerloop29 priv30 priv._erlang_impl
1 (global)
2 examples
3 examples.benchmark_event_loop
4 examples.io_bench
5 examples.reentrant_demo
6 priv._erlang_impl._byte_channel
7 priv._erlang_impl._channel
8 priv._erlang_impl._etf
9 priv._erlang_impl._isolated
10 priv._erlang_impl._loop
11 priv._erlang_impl._mode
12 priv._erlang_impl._policy
13 priv._erlang_impl._reactor
14 priv._erlang_impl._shm
15 priv._erlang_impl._transport
16 priv.tests
17 py_context_embedded
18 py_event_loop
19 py_event_loop_pool
20 py_event_worker
21 py_isolated
22 py_reactor_context
23 py_shm
24 py_thread_handler
25 scripts
26 test
27 test.py_test_isolated
28 test.py_test_workerloop
29 priv11
30 priv._erlang_impl1
Dependency, pointing down the layeringAbove the diagonal — part of a cycleThe module itself
(global)examples….benchmark_event_loopexamples.io_bench…amples.reentrant_demo…ng_impl._byte_channel…_erlang_impl._channelpriv._erlang_impl._etf…erlang_impl._isolated…iv._erlang_impl._loop…iv._erlang_impl._mode…._erlang_impl._policy…_erlang_impl._reactorpriv._erlang_impl._shm…rlang_impl._transportpriv.testspy_context_embeddedpy_event_looppy_event_loop_poolpy_event_workerpy_isolatedpy_reactor_contextpy_shmpy_thread_handlerscriptstesttest.py_test_isolated…st.py_test_workerloopprivpriv._erlang_impl(global)1examples2….benchmark_event_loop3examples.io_bench4…amples.reentrant_demo5…ng_impl._byte_channel6…_erlang_impl._channel7priv._erlang_impl._etf8…erlang_impl._isolated9…iv._erlang_impl._loop10…iv._erlang_impl._mode11…._erlang_impl._policy12…_erlang_impl._reactor13priv._erlang_impl._shm14…rlang_impl._transport15priv.tests16py_context_embedded17py_event_loop18py_event_loop_pool19py_event_worker20py_isolated21py_reactor_context22py_shm23py_thread_handler24scripts25test26test.py_test_isolated27…st.py_test_workerloop28priv29priv._erlang_impl30111

At a glance — Code Health · 98% · Exemplary ·

At a glance — Architecture · 100% · Exemplary ·

At a glance — Maturity · 77% · Strong ·

At a glance — Readiness · 65% · Adequate ·

At a glance — Security · 58% · Adequate · gated by D29, D36 ·

At a glance — Performance · 70% · 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 — Injection24High / Critical
A05:2021 — Security Misconfiguration18High / Critical

Roadmap

First, extend structured logging across all runnable modules to ensure full production diagnosability, while resolving static analysis findings in the CI configuration. Next, implement an approval gate for draft releases to prevent bad builds from reaching users, and address high-severity infrastructure security issues in the Dockerfiles. Finally, eliminate blocking calls in Python by properly awaiting async operations and moving synchronous tasks off the event loop to maintain latency hygiene.

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

Do thisHelpsEffortDimension
Resolve the 3 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (3).+2.8 ptsLowStatic Analysis (SAST)
Extend structured logging to the remaining runnable modules so everything you run is diagnosable in production.+4.1 ptsMediumObservability
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.+4.1 ptsMediumDeployment & Rollback
Resolve the 2 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (2).+1.9 ptsLowStatic Analysis (SAST)
Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing.+1.9 ptsLowSupply-chain Provenance & Signing
Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing.+1.9 ptsLowSupply-chain Provenance & Signing
Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing.+1.9 ptsLowSupply-chain Provenance & Signing
Resolve the 8 Medium IaC finding(s) in IaC & Container Security — start with REDACTED (2), REDACTED (2), REDACTED (2).+1.7 ptsLowIaC & Container Security

File quality

Per-file score 0–10 — a quality signature. Of 16 files carrying findings, judged against the Production bar: 25% slop · 44% mixed · 31% near-clean.

FileScoreBandWorst signal
REDACTED2.0SlopIaC & Container Security: High IaC: REDACTED
REDACTED2.0SlopIaC & Container Security: High IaC: REDACTED
REDACTED2.7SlopIaC & Container Security: High IaC: REDACTED
REDACTED2.7SlopIaC & Container Security: High IaC: REDACTED
REDACTED4.4MixedStatic Analysis (SAST): High: REDACTED
REDACTED5.8MixedStatic Analysis (SAST): High: REDACTED
REDACTED5.8MixedStatic Analysis (SAST): High: REDACTED
examples/benchmark_event_loop.py7.1MixedCode Duplication: Duplicated block (10 lines × 2)
src/py_context_embedded.erl7.2MixedCode Duplication: Duplicated block (19–20 lines × 2)
src/py_event_loop.erl7.4MixedCode Duplication: Duplicated block (8–12 lines × 2)
src/py_context.erl7.8MixedCode Duplication: Duplicated block (14 lines × 2)
docs/decisions/0001-one-thread-per-context.md8.0Near-cleanADR Conformance: ADR not followed: 0001: One pthread per context, NIFs only enqueue
docs/decisions/0007-remove-legacy-execution-paths.md8.0Near-cleanADR Conformance: ADR not followed: 0007: One execution path per mode; the legacy API is removed
priv/_erlang_impl/_loop.py8.5Near-cleanCode Duplication: Duplicated block (9 lines × 2)
priv/_erlang_impl/_byte_channel.py8.5Near-cleanCode Duplication: Duplicated block (8 lines × 2)
examples/ai_helpers.py8.5Near-cleanCode Duplication: Duplicated block (10 lines × 2)

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 — 36

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 — 31

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 — 49

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. 26 of 31 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 5 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 — 31 dimensions across the health lenses
D4D5D7D9D13D15D17D19D20D21D25D28D29D31D34D36D44AX10AX3AX4AX9M1M2M3M4P1P2P3P4P6PF3

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, 66 of 72 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 · trivy · checkovSecrets in history, SAST, CVEs, IaC & container, PII / GDPR1.86.0 · 0.69.3 · 3.2.533✓ 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 01a0fb77-b04b-74d7-a1d9-ef1ec1c2311c.

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.

  • D1 Cyclomatic Complexity — 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. Most of this repository's production source (.c) had no cyclomatic complexity computed for it: no method bodies were exposed for those file kinds by any language model this pass could load.
  • D2 Cognitive Complexity — 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. Most of this repository's production source (.c) had no cognitive complexity computed for it: no method bodies were exposed for those file kinds by any language model this pass could load.
  • D4 Code Duplication — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. The 18 duplicated block group(s) on this row were found in the languages this pass could tokenize, and they do NOT cover all of this repository's production source: .c (26,646 lines, 53% of production source) went unread, because no language model this pass could load exposed a clone-unit token stream for those file kinds. Duplication in that source is UNMEASURED — its absence from the count above is a gap in this analyzer's language coverage, not a finding that the code is free of duplication.
  • D6 Cohesion (LCOM4) — 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's reader does not cover the language this repository's product is written in, so it had nothing of the product to read. That is a gap in this analyzer's language reach — not a finding about this repository.
  • 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 MEASURED: test source is present (.py, .erl) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`, or `rebar3 do eunit --cover, cover` (or covertool for Cobertura 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`, or `rebar3 do eunit --cover, cover` (or covertool for Cobertura 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.
  • D11 Test Reliability — 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. Test source is present (.py, .erl) and this repository declares a rebar3 project (repository root, 52 Common Test suites), but it was not re-run: the analyzer environment could not run it. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.
  • 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 — 1 rebar3 declaration(s) across 1 `rebar.config` and 0 package(s) pinned by a committed `rebar.lock` were read for PINNING discipline (0 defect(s) reported), but the outdated/retired signal needs hex.pm, and no declaration here is resolved to a release by a committed rebar.lock, so this dimension's own question is only partly answered. NOT a finding that these dependencies are current or healthy.
  • D14 License Compliance — 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 — this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (a rebar.config / erlang.mk DEPS (Hex)), which this pass does not parse yet — so this dimension asserts nothing about this repository's licensing in either direction.
  • 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-maintainer repository — bus factor is not applicable (2 contributor(s) across 469 commit(s) sampled, automation and bot accounts excluded). One of them holds 100% of the history; the other 1 hold 0% each on average, below the 5% at which there is somebody to hand the work to. That is a single maintainer with drive-by contributors, not a team whose knowledge has concentrated — so the bus factor is not applicable and 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: it declares a published package (src/erlang_python.app.src), but no published-package marker D22 reads admitted any project here, so this ecosystem's public API has no collector, and the remedy is to write one — no change to the scan image can close it.
  • D26 Project Cohesion — 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. Project size and spread are measured over build units (a .NET project, a Maven or Gradle module, an npm package, a Go module, a Cargo crate, a Python, Composer, Bundler, Mix, rebar3, sbt, SwiftPM or pub package) whose source a code model reads. This repository's production source is in a language no model reads, or in units whose build tool D26 does not recognise. That is a gap in this analyzer's language reach — not a finding that the repository's projects are cohesive.
  • D27 Navigability — 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's reader does not cover the language this repository's product is written in, so it had nothing of the product to read. That is a gap in this analyzer's language reach — not a finding about this repository.
  • D35 Change Coupling — 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. Change coupling is mined from the co-change history of production source files, but this repository's production source is .c, .exs, which this pass does not recognise as source — only 63 file(s) could be paired, so no coupling could be found no matter how tangled the history is. Not scored — this is a gap in the analysis run, not a finding about this repository.
  • 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.
  • 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.
  • P10 Library API & versioning — 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 reads NuGet packaging and C# public API, and npm, PyPI, crates.io, Maven/Gradle, Go module, RubyGems, Composer, SwiftPM, pub.dev and Hex package manifests only, and no .NET project and no package manifest of those ecosystems was found in this repository, so it had nothing of this repository's product 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.
  • P5 DR & Backup — 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. No backup/snapshot/replication config, RTO/RPO or restore-procedure documentation was found — and no production persistence was detected either (no data-access packages, no data-store services, no database resources), so there is nothing in this repository whose loss a DR control would recover. If this system's data lives in a platform or ops repo we can't see, that's where the DR evidence belongs.
  • PF1 Benchmark discipline — 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's reader does not cover the language this repository's product is written in, so it had nothing of the product to read. That is a gap in this analyzer's language reach — not a finding about this repository.
  • 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 reads C# syntax, and JavaScript/TypeScript and Java source only, and no C# was loaded and no JavaScript/TypeScript or Java was found in this repository, so it had nothing of this repository's product 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 reads C# syntax, and JavaScript/TypeScript and Java source only, and no C# was loaded and no JavaScript/TypeScript or Java was found in this repository, so it had nothing of this repository's product 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 reads C# syntax, and Java, Kotlin and Scala source only, and no C# was loaded, no Java, Kotlin or Scala was found, and this repository's C, Python is not read yet, so it had nothing of this repository's product 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 reads C# syntax, and Java and Rust source only, and no C# was loaded and no Java or Rust was found in this repository, so it had nothing of this repository's product 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 reads C# syntax, and Scala source only, and no C# was loaded and no Scala was found in this repository, so it had nothing of this repository's product 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 reads C# syntax, and JavaScript/TypeScript, Java and Rust source only, and no C# was loaded and no JavaScript/TypeScript, Java or Rust was found in this repository, so it had nothing of this repository's product 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 reads C# syntax, and Scala source only, and no C# was loaded and no Scala was found in this repository, so it had nothing of this repository's product 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.
  • X7 Silent fallback defaults — 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. X7 measured the part of this repository it reads (C#, Python, TypeScript/JavaScript, Rust, Go, Java and Kotlin), and its Elixir, Erlang source is outside the check's reach, so the card covers only part of the product. That is a gap in this analyzer's language reach — not a finding that the unread source is free of silent defaults.
  • Production source was not modelled — run is Degraded — No code model read .c, so the complexity, duplication and architecture dimensions were scored over a minority of this repository rather than its product, and dimensions that abstained did so for want of a model rather than for want of findings. The grade is NOT representative of this repository; diagnostics.md records the exact cause.

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

Limitations & what we did not check

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

Per-dimension blind spots

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

  • D4 Code Duplication: Duplication is token-similarity — 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.
  • D5 Coupling: Coupling is measured between projects/assemblies — runtime coupling through DI, reflection, messaging or shared databases is invisible to a static reference graph.
  • D7 Architectural Integrity: Layering is checked against detected/declared rules — an architecture whose boundaries live in convention or in code review, not in a rule a scanner can read, is not enforced here.
  • 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.
  • D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
  • D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
  • 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.
  • D20 ADR Quality: ADR quality is an LLM read of the decision records present — it cannot know about decisions made and never recorded, and its verdict is sampled and advisory.
  • D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
  • D25 ADR Conformance: ADR conformance is the LLM-scored fraction of sampled code that follows recorded decisions — it checks the decisions that were written down and the slices it sampled, not unrecorded rules or the whole tree.
  • 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").
  • D31 IaC & Container Security: IaC scanning checks Dockerfiles/Terraform/Kubernetes against best-practice rules — it cannot see the live cloud account, runtime configuration, or drift between the committed config and what is actually deployed.
  • D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
  • 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.
  • AX9 CQS / query purity: Handlers are found by interface/name convention — a query handler using neither is not seen. Mutation is a resolved write/publish invocation (SaveChanges/repository/bus), so a write hidden behind a hand-rolled wrapper, reflection, or a string-keyed service locator resolves to a non-persistence type and isn't flagged; it detects that a query writes state, not whether the write is a legitimate read-side cache update. Clean means "no resolved write/publish in a query body", not a proof of CQS purity.
  • M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
  • 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 (5): D19, D20, D21, D25, 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

D4 · Code Duplication9.6 / 10Stronggated by 18 serious findings✓ 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 9.6 / 10 · rule-coverage 100% · ceiling Verified

18 duplicated block group(s) detected. 7 of the 18 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. Measured on part of this repository only: .c (53% of production source) was not exposed to the token comparison, so duplication there is unmeasured and is not in this count.

Duplicated block (10 lines × 2) · ×3src/py_event_loop.erl:244
Duplicated block (9 lines × 2) · ×2src/py_context_embedded.erl:466
Duplicated block (7 lines × 2) · ×2examples/benchmark_event_loop.py:296
Duplicated block (6 lines × 3) · ×2examples/benchmark_event_loop.py:297
Duplicated block (19–20 lines × 2)src/py_context_embedded.erl:542

+ 8 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Resolve the 3 Duplicated block (10 lines × 2) finding(s) in Code Duplication — start with py_event_loop.erl, ai_helpers.py, benchmark_event_loop.py. — One of this dimension's main actionable groups (3 warning-level).
  2. Resolve the 2 Duplicated block (9 lines × 2) finding(s) in Code Duplication — start with py_context_embedded.erl, _loop.py. — One of this dimension's main actionable groups (2 warning-level).
  3. Resolve the 2 Duplicated block (7 lines × 2) finding(s) in Code Duplication — start with benchmark_event_loop.py (2). — One of this dimension's main actionable groups (2 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.

D5 · Coupling10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.

Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.

Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type — the population is all types, not a name convention.

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

2 production modules (OTP+CMake), 0 dependency cycle(s), 0 unstable depended-on module(s). Read from the build's own module declarations; 0 module(s) off the main sequence, with abstractness counted on 1 of the 2 (the rest declare no modelled class or interface, export only macros, or have no source directory of their own).

✓ On the Gold path — maintain.

Detailed fixes: d5_recommendation.md.

D7 · Architectural Integrity10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether the code respects its intended layering / architecture rules.

Method: Enforcement rung (Prevented/Verified/Documented) per checkable ADR via Roslyn, plus dependency cycles via the engine shared with D5/AX3. Deterministic, exact.

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

All 6 mechanizable ADR(s) are enforced: 5 by analyzers, 1 by tests. Dependency cycles not checked (no project-reference graph; where this repository's language has an import-cycle lens, cycles are reported there).

✓ On the Gold path — maintain.

Detailed fixes: d7_recommendation.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

230 test methods: 230 unit, 0 integration, 0 BDD, 0 e2e. The Python suite contributes 230 test function(s) across 15 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.

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

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

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

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

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

D15 · Churn × Complexity Hotspots10.0 / 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: priv/_erlang_impl/_loop.py (2×16=32)

Hotspot: priv/_erlang_impl/_loop.pypriv/_erlang_impl/_loop.py:324

What to do

  1. Resolve the 1 Hotspot finding(s) in Churn × Complexity Hotspots — start with _loop.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 23197 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

The documentation is comprehensive: READMEs for each module (buffer, channel, code map) give an overview and quick start, plus API references. A dedicated contributing guide covers build/test recipes, prerequisites, and a detailed test suite setup with notes on ASan configuration. The architecture docs explain the hybrid Erlang/python event loop and its components, while distributed execution guides describe node coordination and fault tolerance. All documents are well-structured with headings and an outline; no single document is missing. This project's documentation is comprehensive and well-structured. The READMEs for each module (glossary, imports, inspiration, interrupts, isolated, logging, memory) are individually thorough: the glossary explains ticket/term semantics; imports documents a global registry with configuration examples; the inspiration guide shows real-world AI/ML use cases with benchmarks; interrupts covers timeout/cancel behavior and Python-catching; isolated mode gives a detailed guarantee table plus code to start an isolated context; logging integrates Python's logging/tracing; memory guides monitoring, garbage collection, and tracing. The architecture/design docs (43) are not shown in the summary but the visible content is complete for its scope. This project's README is a single focused document (owngil_internals.md) that explains the OWN_GIL mode and its requirements, gives a runnable quick-start Erlang example, lists feature compatibility with a table, and documents an outline of architecture/design docs. The accompanying architecture/Docs markdown files cover the full scope (43 total), so the README is thin but accurate for its single-file focus. (8 of 25 sampled documents could not be assessed: 1 of 4 evaluation groups failed.)

✓ On the Gold path — maintain.

Detailed fixes: d19_recommendation.md.

D20 · ADR QualityExemplary◐ Sampled · advisory

What it measures: Whether architecture decisions are recorded well (context, decision, consequences).

Method: Per-ADR judgment by language model at low temperature with two-pass stability; confidence is share of ADRs evaluated; enforcement-field presence detected deterministically. Advisory.

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

Evaluated 8 ADR(s) individually; mean quality 9.4/10 (consistently complete and clear). 0 flagged with a specific gap.

✓ On the Gold path — maintain.

Detailed fixes: d20_recommendation.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.

D25 · ADR ConformanceAdequategated by 2 critical findings◐ Sampled · advisory

What it measures: Whether the code actually follows the decisions recorded in the project's ADRs.

Method: Judged by language model at low temperature against ADRs plus a deterministic structural code summary; findings linked to repo-rooted ADR paths for traceability. Advisory.

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

5 conform / 2 violate across 8 ADRs.

ADR not followed: 0001: One pthread per context, NIFs only enqueue · ×2docs/decisions/0001-one-thread-per-context.md

What to do

  1. Resolve the 2 ADR not followed finding(s) in ADR Conformance — start with 0001-one-thread-per-context.md, 0007-remove-legacy-execution-paths.md. — One of this dimension's main actionable groups (2 issue-level).
  2. Enforce ADR Conformance in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

Detailed fixes: d25_recommendation.md · top locations in Appendix A, every location in findings.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 High. 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)3.0 / 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 3.0 / 10 · rule-coverage 100% · ceiling Documented

24 finding(s): 0 critical, 24 high, 0 medium, 0 low. 17 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. semgrep hit a parse error in 5 file(s) — `c_src/py_callback.c` (line 944), `REDACTED` (line 415, line 6608), `c_src/py_nif.c` (line 126, line 236, line 244, …), `c_src/py_nif.h` (line 1024), `c_src/py_reactor_buffer.h` (line 100) — so no absence of findings in the named regions is evidence of anything; rows reported elsewhere in those files are real. Fix the syntax error (or exclude the file deliberately) and re-scan to cover them. Separately, one or more rules could not re-parse an embedded snippet in 1 file(s) (e.g. a workflow `run:` block read as shell). Those files WERE scanned and their other rows are unaffected; only those rules' view of those snippets is missing.

REDACTED
REDACTED
REDACTED
REDACTED
REDACTED

What to do

  1. Resolve the 3 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (3). — One of this dimension's main actionable groups (3 issue-level).
  2. Resolve the 2 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (2). — One of this dimension's main actionable groups (2 issue-level).
  3. No action in Static Analysis (SAST) — all 17 REDACTED finding(s) are reported here at file:line but scored by D36 (supply-chain provenance), so none is charged to this dimension. — One of this dimension's main actionable groups (17 issue-level, 0 of them charged here).

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

D31 · IaC & Container Security5.9 / 10Adequate✓ Tool-verified

What it measures: Whether Dockerfiles / Terraform / Kubernetes config follow security best practices.

Method: IaC/container misconfiguration scan via trivy config (Dockerfile/Terraform/K8s/Helm/CloudFormation); severity rules to 0-10 moderate normalizer. NotApplicable without manifests. Exhaustive, deterministic.

Maturity: Documented → Verified → Prevented · effective 5.9 / 10 · rule-coverage 100% · ceiling Documented

18 finding(s): 0 critical, 10 high, 8 medium, 0 low.

REDACTED
REDACTED

What to do

  1. Resolve the 10 High IaC finding(s) in IaC & Container Security — start with REDACTED (3), REDACTED (3), REDACTED (2). — One of this dimension's main actionable groups (10 issue-level).
  2. Resolve the 8 Medium IaC finding(s) in IaC & Container Security — start with REDACTED (2), REDACTED (2), REDACTED (2). — One of this dimension's main actionable groups (8 warning-level).

Detailed fixes: d31_recommendation.md · top locations in Appendix A, every location in findings.md.

D34 · Knowledge Freshness10.0 / 10Exemplary✓ Tool-verified

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

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

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

Every significant source file has living knowledge — recently and meaningfully worked. Counted over 43 of the 47 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.

✓ On the Gold path — maintain.

Detailed fixes: d34_recommendation.md.

D36 · Supply-chain Provenance & Signing0.0 / 10Critical✓ Tool-verified

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

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

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

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

REDACTED
REDACTED
REDACTED
REDACTED
REDACTED

What to do

  1. Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
  2. Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
  3. Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d36_recommendation.md · top locations in Appendix A, every location in findings.md.

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 1 platform declaration(s) and 0 dependency declaration(s). This dimension reads what the repository says about ITSELF — a pinned target framework, a version file, a capped requires-python, a Rust toolchain pin, 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 composition10.0 / 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.
AX3 · Project dependency cycles10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).

Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.

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

Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.

Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.

AX9 · CQS / query purity10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether read (query) handlers stay side-effect-free — a query that writes persistent state or raises events breaks CQS and makes reads unsafe to retry, cache, or route to a read replica.

Method: Roslyn scan: CQRS handlers classified query-vs-command by interface (IQueryHandler/ICommandHandler/IRequestHandler<TQuery,TResult>) and name convention (*Query/Get*/Find* vs *Command); each query handler's body checked for persistent-state writes (SaveChanges/repository Add-Update) or event publishes by resolved invocation. Deterministic, type-level, exhaustive over the detected handlers.

Coverage: Population: CQRS handlers identified by IQueryHandler/ICommandHandler/IRequestHandler interface + *Query/Get*/Find*/*Command NAME convention; query purity then checked exhaustively within that set — a query handler using neither convention is invisible, and mutation is a resolved persistence/publish CALL, not full dataflow.

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

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

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

What to do

  • Add a 'Testing' section to the root README — how to run the test suite.
  • Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
M2 · Architecture documentation5.5 / 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.

What to do

  • Grow the ADR log (currently 8) — reach 20 to raise the maturity tier; document significant decisions as they're made.
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.

P2 · Observability5.5 / 10Adequate✓ Tool-verified

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

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

  • Only 1/2 runnable modules use logging (modules with no entry point or server are excluded — they are libraries a runnable module hosts). Silent: `.`.

What to do

  • Extend structured logging to the remaining runnable modules so everything you run is diagnosable in production.
P3 · Security & performance tooling4.0 / 10Weak✓ 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.

What to do

  • Enable Dependabot/Renovate or a dependency-review gate.
  • Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
P4 · Deployment & Rollback5.0 / 10Adequate✓ 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.

What to do

  • Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
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.

PF3 · Async & latency hygiene7.0 / 10Strong✓ Tool-verified

Readiness · Performance — Whether asynchronous code stays responsive — it avoids sync-over-async blocking (a .NET .Wait()/.GetAwaiter().GetResult(), a time.sleep or blocking HTTP call inside a Python coroutine, a *Sync call inside an async JavaScript function, block_on inside a Rust async fn, runBlocking inside a Kotlin suspend function, block() inside a Reactor publisher) that stalls a thread or event loop and risks deadlock, and, where the code is a reusable library on .NET, awaits with ConfigureAwait(false) so it never captures and stalls its caller's context.

Method: Production-source scan: sync-over-async blocking counted everywhere — .Wait()/.GetAwaiter().GetResult() in .NET; off .NET, read from the language model, a blocking call inside an async function (Python, TS/JS, Rust, Kotlin) or inside a Java method returning a Reactor Mono/Flux — and, for a .NET library with ≥5 awaits, the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.

  • `block_loop` is async and calls time.sleep — a blocking call inside async code stalls the event loop — every other task on it waits for as long as it runs. (×2) — test/py_test_isolated.py:363, test/py_test_workerloop.py:92

What to do

  • Python: await the async equivalent (asyncio.sleep, an async HTTP client such as httpx.AsyncClient or aiohttp, asyncio.create_subprocess_exec), or move the blocking call off the loop with `await asyncio.to_thread(...)`; never call asyncio.run inside a coroutine — await the coroutine.

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 Health98%ExemplarySolid.
Architecture100%ExemplaryStrongest area.
Maturity77%StrongSolid.
Readiness65%AdequateAcceptable, with room to improve.
Security58%Adequate — gated by D29, D36Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Performance70%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.

  • X10 Duplicated predicate — 1 observation(s) recorded · Advisory — this card reports evidence and never carries a score.
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 — 85 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 — Not applicable: the BEAM has no dependency-injection container — state lives in processes, and no process is handed an instance whose lifetime another one scopes; this repository's Python imports no dependency-injection container and defines no container of its own — nothing that both registers and resolves bindings, and nothing that names two lifetimes — so nothing holds one lifetime's instance while handing out another's.
  • AX2 Stateful singletons — No container singleton was found, so there is no shared instance for concurrent requests to race on. No function in this Python code is served by a threaded web framework (a Flask, Bottle or FastAPI route, a Django or Pyramid view), so no module is shared between request threads. Elixir processes share no mutable memory — state lives in a process's own mailbox — so there is no shared object to race on. Erlang processes share no mutable memory — state lives in a process's own mailbox — so there is no shared object to race on.
  • 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 — no test/production split to check
  • AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • AXR1 Runtime accessibility — compose up failed (exit 17 — an image could not be built) — failed to solve: erlang:27-slim: failed to resolve source metadata for docker.io/library/erlang:27-slim: failed to do request: Head "https://registry-1.docker.io/v2/library/erlang/manifests/27-slim": Forbidden; runtime evidence skipped This is a statement about this run, not a statement about your application: nothing here says the surface is inaccessible, only that it was never rendered.
  • 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.
  • D1 Cyclomatic Complexity — cyclomatic complexity not measured — .c exposed no member bodies
  • D10 Test Quality — ~24486 lines of test source are present (.py, .erl) 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.
  • D11 Test Reliability — Test reliability not included — the .erl suite was found but not re-run
  • D12 Dependency Hygiene — Not scored — 1 rebar3 declaration(s) across 1 `rebar.config` and 0 package(s) pinned by a committed `rebar.lock` were read for PINNING discipline (0 defect(s) reported), but the outdated/retired signal needs hex.pm, and no declaration here is resolved to a release by a committed rebar.lock, so this dimension's own question is only partly answered. NOT a finding that these dependencies are current or healthy.
  • D14 License Compliance — Package manifest not parsed for licence data — analyzer language-coverage gap
  • D16 Bus Factor — single-maintainer 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.
  • D2 Cognitive Complexity — cognitive complexity not measured — .c exposed no member bodies
  • D22 Internal API Consistency — The exposed public-API surface could not be collected — no C#/VB projects loaded.
  • D23 Boundary Type-Coupling — No bounded-context organisation was detected either — neither a context-shaped layout nor 2+ sibling source directories each declaring an aggregate root. Declaring this codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed. 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.
  • D26 Project Cohesion — D26 measured no build unit over this repository's .c, .exs, .py source. Not scored: this is a gap in the analyzer, not a verdict about this repository.
  • D27 Navigability — D27 reads resolved call sites in the languages it reads only — this repository's production source is .c, .exs, .py, which was left unread. Not scored: this is a gap in the analyzer, not a verdict about this repository.
  • D3 God Classes — Most of this repository's production source (.c) was not read by god-class detection, so class size was not assessed for the languages that are the product — whatever else this pass did read is not this repository's class size. Not scored — this is a gap in the analyzer, not a verdict about this repository.
  • D30 Dependency Vulnerabilities — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a rebar.config / erlang.mk DEPS (Hex) — not scanned yet).
  • 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.
  • D35 Change Coupling — change coupling unreadable for .c, .exs — no production change history could be paired for this repository's own source
  • 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.
  • D43 Malicious Dependencies — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a rebar.config / erlang.mk DEPS (Hex) — not scanned yet).
  • D6 Cohesion (LCOM4) — D6 reads a CS/VB/GO/SCALA/SWIFT/DART/JAVA/PY/KT/TS/TSX/MTS/CTS/JS/JSX/MJS/CJS/PHP/RB/RS class graph only — this repository's production source is .c, .erl, .exs, which was left unread. Not scored: this is a gap in the analyzer, not a verdict about this repository.
  • 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 (12 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
  • P10 Library API & versioning — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, and the automatic-re-run check to any GitHub-Actions workflow, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
  • P7 Outbound HTTP resilience — not applicable — no HTTP server, API framework or worker entry point was found in the Erlang, Python source, so there is no service whose uptime a failing dependency could take down
  • P8 Schema migrations — no ORM, schema-migration tool or schema auto-create was found in this repository's dependency manifests or source, so there is no database schema for this check to judge
  • P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (`rebar3 do eunit --cover, cover` (or covertool for Cobertura 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 — Benchmark discipline was not assessed: this repository is written in Erlang, whose benchmark frameworks this check does not search yet. That is a gap in the analyzer's language reach, not a finding about your code.
  • PF2 Allocation hygiene — Not applicable: Erlang and Python runs on a garbage-collected runtime that gives a program no allocation-control idiom to choose on a hot path — no pools, stack allocation or value types — so allocation awareness is not something this code can be rated on.
  • 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 — 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
  • X25 Inert configuration knob — 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
  • X26 Unsynchronised callback handoff — 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
  • X27 Collection changed while being enumerated — 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
  • X28 Index access outside its own emptiness guard — 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
  • X29 Per-element action decided by a fixed element — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X3 Exception handling — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X30 Support guard that admits what it rejects — 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
  • X31 Test-only surface in a production module — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • X32 Type resolved by simple name across every loaded assembly — This check is about how a .NET program searches the assemblies loaded into its process for a type, and this repository contains no .NET source, so there is nothing here for it to assess. Not a gap in the analyzer and 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
  • X6 Hand-rolled structured-format parsing — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • X7 Silent fallback defaults — Advisory — this card reports evidence and never carries a score.
  • 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 — 36 finding(s)
D29 · Static Analysis (SAST) · REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
D31 · IaC & Container Security · High IaC · ×10
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
D29 · Static Analysis (SAST) · REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
D25 · ADR Conformance · ADR not followed · ×2
  • ADR not followed: 0001: One pthread per context, NIFs only enqueue docs/decisions/0001-one-thread-per-context.md — The public type `ctx_thread_main_owngil` exposes worker/owngil modes on the same pthread, contradicting the one-pthread-per-context decision. (docs/decisions/0001-one-thread-per-context.md)
  • ADR not followed: 0007: One execution path per mode; the legacy API is removed docs/decisions/0007-remove-legacy-execution-paths.md — The summary shows only public types (no namespaces), so whether every mode in `src/` and `c_src/` carries exactly one execution path per context cannot be verified from the given data. (docs/decisions/0007-remove-legacy-execution-paths.md)
D29 · Static Analysis (SAST) · REDACTED
  • REDACTED
  • REDACTED
D29 · Static Analysis (SAST) · REDACTED · ×1
  • REDACTED
D29 · Static Analysis (SAST) · REDACTED · ×1
  • REDACTED
Serious — 31 finding(s)
D31 · IaC & Container Security · Medium IaC · ×8
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
  • REDACTED
D4 · Code Duplication · Duplicated block (10 lines × 2) · ×3
  • Duplicated block (10 lines × 2) src/py_event_loop.erl:244 — src/py_event_loop.erl:244-256 | src/py_event_loop_pool.erl:248-257 — 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.
  • Duplicated block (10 lines × 2) examples/ai_helpers.py:112 — examples/ai_helpers.py:112-121 | examples/ai_helpers.py:155-164 — 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 `examples/ai_helpers.py:112` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `examples/ai_helpers.py:153` calls `join` and `examples/ai_helpers.py:111` does not — after which the two agree again for 2 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.
  • Duplicated block (10 lines × 2) examples/benchmark_event_loop.py:130 — examples/benchmark_event_loop.py:130-139 | examples/io_bench.py:35-44 — 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.
D4 · Code Duplication · Duplicated block (9 lines × 2) · ×2
  • Duplicated block (9 lines × 2) src/py_context_embedded.erl:466 — src/py_context_embedded.erl:466-474 | src/py_isolated.erl:1120-1128 — 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.
  • Duplicated block (9 lines × 2) priv/_erlang_impl/_loop.py:723 — priv/_erlang_impl/_loop.py:723-731 | priv/_erlang_impl/_loop.py:740-748 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
D4 · Code Duplication · Duplicated block (7 lines × 2) · ×2
  • Duplicated block (7 lines × 2) examples/benchmark_event_loop.py:296 — examples/benchmark_event_loop.py:296-302 | examples/benchmark_event_loop.py:319-325 — 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. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
  • Duplicated block (7 lines × 2) examples/benchmark_event_loop.py:110 — examples/benchmark_event_loop.py:110-116 | examples/io_bench.py:16-22 — 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.
D4 · Code Duplication · Duplicated block (6 lines × 3) · ×2
  • Duplicated block (6 lines × 3) examples/benchmark_event_loop.py:297 — examples/benchmark_event_loop.py:297-302 | examples/benchmark_event_loop.py:320-325 | examples/benchmark_event_loop.py:333-338 — 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. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
  • Duplicated block (6 lines × 3) examples/benchmark_event_loop.py:375 — examples/benchmark_event_loop.py:375-382 | examples/benchmark_event_loop.py:390-395 | examples/benchmark_event_loop.py:404-409 — 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. Read the line range as the matched WINDOW rather than a finished unit: at `examples/benchmark_event_loop.py:390` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `examples/benchmark_event_loop.py:390` calls `get` and `examples/benchmark_event_loop.py:375` 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.
PF3 · Async & latency hygiene · Sync-over-async blocking · ×2
  • Sync-over-async blocking test/py_test_isolated.py:363 — `block_loop` is async and calls time.sleep — a blocking call inside async code stalls the event loop — every other task on it waits for as long as it runs.
  • Sync-over-async blocking test/py_test_workerloop.py:92 — `block_loop` is async and calls time.sleep — a blocking call inside async code stalls the event loop — every other task on it waits for as long as it runs.
D15 · Churn × Complexity Hotspots · Hotspot · ×1
  • Hotspot: priv/_erlang_impl/_loop.py priv/_erlang_impl/_loop.py:324 — priv/_erlang_impl/_loop.py changed 2 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 16 in ErlangEventLoop.close at line 324. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, with the area under test before it moves. Counted over 2026-06-24..2026-09-22, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-06-24 19:26:04 +02:00' --until='2026-09-22 19:26:04 +02:00' --full-history --no-merges -- priv/_erlang_impl/_loop.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.
D36 · Supply-chain Provenance & Signing · REDACTED · ×1
  • REDACTED
D36 · Supply-chain Provenance & Signing · REDACTED · ×1
  • REDACTED
D4 · Code Duplication · Duplicated block (19–20 lines × 2) · ×1
  • Duplicated block (19–20 lines × 2) src/py_context_embedded.erl:542 — src/py_context_embedded.erl:542-560 | src/py_thread_handler.erl:232-251 — 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.
D4 · Code Duplication · Duplicated block (14 lines × 2) · ×1
  • Duplicated block (14 lines × 2) src/py_context.erl:161 — src/py_context.erl:161-174 | src/py_reactor_context.erl:117-130 — 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.
D4 · Code Duplication · Duplicated block (13 lines × 2) · ×1
  • Duplicated block (13 lines × 2) src/py_context_embedded.erl:729 — src/py_context_embedded.erl:729-741 | src/py_event_loop.erl:523-535 — 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.
D4 · Code Duplication · Duplicated block (11–12 lines × 3) · ×1
  • Duplicated block (11–12 lines × 3) src/py_context_embedded.erl:549 — src/py_context_embedded.erl:549-559 | src/py_thread_handler.erl:240-250 | src/py_thread_handler.erl:271-282 — there are 3 copies across 2 file(s) — more copies than files, so at least one file holds the block twice. Extract it once into a single shared function every call site can reach and call it from all 3 sites; resolving a subset leaves the remainder to drift apart.
D4 · Code Duplication · Duplicated block (8–12 lines × 2) · ×1
  • Duplicated block (8–12 lines × 2) src/py_event_loop.erl:325 — src/py_event_loop.erl:325-336 | src/py_event_loop.erl:398-405 — 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 × 2) · ×1
  • Duplicated block (6 lines × 2) src/py_context.erl:729 — src/py_context.erl:729-734 | src/py_util.erl:33-38 — 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.
D4 · Code Duplication · Duplicated block (5 lines × 2) · ×1
  • Duplicated block (5 lines × 2) src/py_event_loop.erl:148 — src/py_event_loop.erl:148-152 | src/py_event_loop_pool.erl:198-202 — 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.
D4 · Code Duplication · Duplicated block (8 lines × 2) · ×1
  • Duplicated block (8 lines × 2) priv/_erlang_impl/_byte_channel.py:247 — priv/_erlang_impl/_byte_channel.py:247-254 | priv/_erlang_impl/_channel.py:224-231 — 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. 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 (2–6 lines × 3) · ×1
  • Duplicated block (2–6 lines × 3) examples/benchmark_event_loop.py:373 — examples/benchmark_event_loop.py:373-374 | examples/benchmark_event_loop.py:383-388 | examples/benchmark_event_loop.py:397-402 — 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. Read the line range as the matched WINDOW rather than a finished unit: at `examples/benchmark_event_loop.py:383` 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.
Minor — 5 finding(s)
D36 · Supply-chain Provenance & Signing · REDACTED · ×1
  • REDACTED
D36 · Supply-chain Provenance & Signing · REDACTED · ×1
  • REDACTED
D36 · Supply-chain Provenance & Signing · REDACTED · ×1
  • REDACTED
P2 · Observability · Logging is not universal · ×1
  • Logging is not universal — Only 1/2 runnable modules use logging (modules with no entry point or server are excluded — they are libraries a runnable module hosts). Silent: `.`.
X10 · Duplicated predicate · Duplicated predicate · ×1
  • Duplicated predicate priv/_erlang_impl/_byte_channel.py:203 — `hasattr(loop, '_loop_capsule') and hasattr(loop, '_timers')` appears character-identically in 2 files — priv/_erlang_impl/_byte_channel.py, priv/_erlang_impl/_channel.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.

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-7f6e8c0cb94f4ec7a60cc9dd13723aba/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-7f6e8c0cb94f4ec7a60cc9dd13723aba/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 .24artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilitiesnone (dependency manifest found, not scanned for vulnerabilities here)—none (dependency manifest found, not scanned for vulnerabilities here): not applicable — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a rebar.config / erlang.mk DEPS (Hex) — not scanned yet).0—
D31 · IaC & Container Securitytrivy—trivy config --format json --quiet .18artifacts/raw/trivy-config.json
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 Dependenciesnone (dependency manifest found, not scanned for vulnerabilities here)—none (dependency manifest found, not scanned for vulnerabilities here): not applicable — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a rebar.config / erlang.mk DEPS (Hex) — not scanned yet).0—

Run 01a0fb77-b04b-74d7-a1d9-ef1ec1c2311c · 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