Public report — salt-sproxy, published 4 Aug 2026. Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version; ask the repo owner for the full report.
Watchdog 04-08-2026 @ 23:56 UTC Public
Code Health Audit

Mirceaulinic/salt-Sproxy

54% Weak
CriticalWeakAdequateStrongExemplary
lower third — near Weak

Small · 4,817 LoC · rebuild ~0.1 person-years · weakest lens: Maturity (43%)

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

23/25dimensions tool-verifieddeterministic · confidence 1.0 · 2 LLM-assisted, advisory
48findings with an exact file:lineof 59 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
25/94dimensions across the health lenses4817 LoC — wide & deep

Executive summary

Read through the Production lens — the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.

mirceaulinic/salt-sproxy carries serious gaps (54%). Several issues below can materially affect correctness, security, or the cost of changing it — and propagate to everything that depends on it.

It is strongest in Architecture (100%) — the structure is clean and changes stay contained.

The area that most needs attention is Maturity (43%) — onboarding is slow — key decisions and the architecture aren't written down, so contributors have to reverse-engineer the intent. Readiness (58%) is the next concern — releases are harder to depend on — versioning, release notes and dependency hygiene are thin, so consumers can't easily tell what changed or trust an upgrade.

Leadership focus, highest impact first: Record significant decisions one document per decision (Architecture documentation); build/run (quick start) section to the root README (Documentation (README)); 3 Orphaned knowledge finding(s) (Knowledge Freshness).

For scale: Small (~4,817 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.

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

How the score is built — each lens's share of the 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.
Maturity 43% · 47% weightReadiness 58% · 26% weightCode Health 65% · 14% weightSecurity 68% · 8% weightArchitecture 100% · 4% weight

Raise Maturity 43 → 70 (the Healthy floor) ⇒ headline 54 → ~64.

New since the last scan (3+)

3 finding(s) are new versus the previous scan (2026-07-31) — surfaced by this scheduled scan itself, no pull request required.

  • D31 · Medium IaC: CKV_DOCKER_6 Dockerfile
  • D31 · Medium IaC: CKV_DOCKER_3 Dockerfile
  • D38 · Medium CVE: [GHSA redacted] requirements-dev.txt

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 — €1,600–€7,900
Cost to rebuild€1,600–€7,900 (0.1 person-years (26–83 h), ~1 engineer)
Domain complexityStandard — harder problems cost more per line
Quality factor0.8× (at 54% quality) — the last 20% of quality is most of the work
Size & shapeSmall · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)

This codebase represents roughly ~0.1 person-years of build effort (about ~€4,800 to rebuild). Its weakest lens is Maturity at 43% — 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 0.8× 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 Orphaned knowledge finding(s) in Knowledge Freshness — start with proxy.py, netbox.py, parsers.py.
+10.3 pts · Low effort · Knowledge Freshness
2
Resolve the 1 The 'Usage Examples' section lists links to 101, NAPALM, Ansible,… finding(s) in Documentation Quality — start with README.rst.
+7.1 pts · Low effort · Documentation Quality
3
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
+11.9 pts · Medium effort · Architecture documentation

Diagnosis — what's actually going on

Value concentrated against a weak lens · High · Value at risk
This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Maturity at 43%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
Evidence: valuation: Small, ~0.1 person-years rebuild (4,817 LoC) · weakest lens: Maturity 43%
→ Direct remediation budget at Maturity first — highest risk-reduction per euro on an asset this size.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form). The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
A velocity tax on every change · Medium · Economics
The code-quality signals (complexity, duplication, cohesion) average 5.8/10, which acts as a tax on every change in the weaker areas: modifications there plausibly cost on the order of 6–13% more than in clean code, and the tax compounds as the codebase grows. (A modelled estimate, not a measured fact.)
Evidence: D1/D2/D4 code quality: averaging 5.8/10 across the code-quality signals actually measured
→ Pay it down where churn is highest — the hotspots — not everywhere; that's where the tax is actually paid.

Architecture — module dependency matrix

10 modules, 1 dependency — every dependency points down the layering, so there are no cycles. 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.)

…s.flask_theme_supportsalt_sproxysalt_sproxy._executorssalt_sproxy._modulessalt_sproxy._proxysalt_sproxy._rostersalt_sproxy._runners…sproxy._runners.proxysalt_sproxy.parserssalt_sproxy.cli…s.flask_theme_support1salt_sproxy2salt_sproxy._executors3salt_sproxy._modules4salt_sproxy._proxy5salt_sproxy._roster6salt_sproxy._runners7…sproxy._runners.proxy8salt_sproxy.parsers9salt_sproxy.cli101

At a glance — Code Health · 65% · Adequate · gated by D2

At a glance — Architecture · 100% · Exemplary

At a glance — Maturity · 43% · Weak · gated by D34, M2

At a glance — Readiness · 58% · Adequate · gated by D8, D9

At a glance — Security · 68% · Adequate · gated by D29

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 — Injection13High / Critical
A05:2021 — Security Misconfiguration5High / Critical
A02:2021 — Cryptographic Failures2High / Critical
A06:2021 — Vulnerable & Outdated Components1Medium

Roadmap

Begin by establishing a single source of truth for architectural decisions and create a clear build and run guide in the README to support new contributors. Next, correct the project structure by moving production code into a dedicated src/ directory to separate it from tooling. Finally, update the README to accurately reflect the current state of the codebase and resolve the three orphaned knowledge items to ensure information remains fresh and reliable.

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

Do thisHelpsEffortDimension
Resolve the 3 Orphaned knowledge finding(s) in Knowledge Freshness — start with proxy.py, netbox.py, parsers.py.+10.3 ptsLowKnowledge Freshness
Resolve the 1 The 'Usage Examples' section lists links to 101, NAPALM, Ansible,… finding(s) in Documentation Quality — start with README.rst.+7.1 ptsLowDocumentation Quality
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).+11.9 ptsMediumArchitecture documentation
Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness.+5.9 ptsLowKnowledge Freshness
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.+10.5 ptsMediumDocumentation (README)
Resolve the 1 No automated tests finding(s) in Code Coverage.+4.8 ptsLowCode Coverage
Resolve the 1 No tests found finding(s) in Test Distribution.+4.8 ptsLowTest Distribution
Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.+8.4 ptsMediumFolder & project structure

File quality

Per-file score 0–10 — a quality signature. Of 14 files carrying findings, judged against the Production bar: 7% slop · 86% mixed · 7% near-clean.

FileScoreBandWorst signal
Dockerfile2.0SlopIaC & Container Security: High IaC: DS-0002
salt_sproxy/_roster/__init__.py4.2MixedStatic Analysis (SAST): High: eval-detected
.github/workflows/codeql.yml4.8MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
salt_sproxy/_runners/proxy.py4.9MixedStatic Analysis (SAST): Medium: insecure-hash-algorithm-sha1
.github/workflows/pythonpublish.yml5.1MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
.github/workflows/pythonapp.yml5.8MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
examples/netbox/master7.2MixedSecrets (history): Secret: generic-api-key
.github/dependabot.yml7.2MixedStatic Analysis (SAST): High: dependabot-missing-cooldown
.github/workflows/gh-reg-publish.yml7.2MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
salt_sproxy/cli.py7.4MixedCyclomatic Complexity: SaltStandaloneProxy.run (cyclomatic 48)
salt_sproxy/_modules/netbox.py7.4MixedCognitive Complexity: netbox.openconfig_interfaces (cognitive 25)
salt_sproxy/parsers.py7.8MixedCyclomatic Complexity: SaltStandaloneProxyOptionParser._mixin_after_parsed (cyclomatic 25)
requirements-dev.txt7.9MixedOSV Dependency Vulnerabilities: Medium CVE: [GHSA redacted]
examples/README.rst9.5Near-cleanDocumentation Quality: The 'Usage Examples' section lists links to 101, NAPALM, Ansible, NetBox, Salt API, salt-sapi, Pillar Roster, and File Roster modules but does not mention the main installation or configuration path.

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. 23 of 25 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 2 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.5 — 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 — 25 dimensions across the health lenses
D1D2D3D4D8D9D13D15D19D21D28D29D31D34D35D36D38M1M2M3M4P1P3P4P6

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, 48 of 59 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
  2. Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
  3. Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.

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

Tools & methods

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

MethodBacksVersionEvaluator
Roslyn static analysisComplexity, cohesion, coupling, dead code, API surface, layering5.3.0✓ deterministic
Native secret scannerHardcoded secrets / credentials1.0.0✓ deterministic
jscpdCode duplication✓ deterministic
Coverage (coverlet / dotnet-coverage)Line & branch coverage10.0.302✓ deterministic
NuGet / dotnetOutdated, vulnerable & deprecated dependencies10.0.302✓ deterministic
git / LibGit2SharpChurn hotspots, knowledge concentration, history2.43.0 · 0.31.0✓ deterministic
gitleaks · semgrep · 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 019fcf34-ffd5-744a-812d-21532697d527.

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

Run transparency — what happened this run

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

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

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

Limitations & what we did not check

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

Per-dimension blind spots

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

  • D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
  • D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
  • D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
  • D4 Code Duplication: Duplication is token-similarity (jscpd) — it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
  • D8 Code Coverage: Coverage is measured by building and running the test suite inside Watchdog's isolated image — the target repo is never modified, and nothing on your systems runs. So coverage exists only when the suite builds and runs within the inline time budget; one that needs external services, can't build, or exceeds the budget yields no coverage (D8 then degrades to not-measured, not a low score). Line coverage also says nothing about assertion quality.
  • D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
  • D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
  • D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
  • D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement.
  • D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
  • D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
  • D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
  • 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.
  • D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
  • M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
  • P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
  • P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.

The LLM boundary

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

Dimensions

D1 · Cyclomatic Complexity4.9 / 10Weak✓ Tool-verified

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

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

Maturity: DocumentedVerifiedPrevented · effective 4.9 / 10 · rule-coverage 100% · ceiling Prevented

8 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was proxy.execute_devices at 53.

proxy.execute_devices (cyclomatic 53)salt_sproxy/_runners/proxy.py:738
SaltStandaloneProxy.run (cyclomatic 48)salt_sproxy/cli.py:56
proxy.execute (cyclomatic 39)salt_sproxy/_runners/proxy.py:1270
SProxyMinion.gen_modules (cyclomatic 31)salt_sproxy/_runners/proxy.py:276
proxy.salt_call (cyclomatic 25)salt_sproxy/_runners/proxy.py:504

+ 3 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Resolve the 1 proxy.execute_devices (cyclomatic 53) finding(s) in Cyclomatic Complexity — start with proxy.py. — One of this dimension's main actionable groups (1 warning-level).
  2. Resolve the 1 SaltStandaloneProxy.run (cyclomatic 48) finding(s) in Cyclomatic Complexity — start with cli.py. — One of this dimension's main actionable groups (1 warning-level).
  3. Resolve the 1 proxy.execute (cyclomatic 39) finding(s) in Cyclomatic Complexity — start with proxy.py. — One of this dimension's main actionable groups (1 warning-level).
  4. Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

D2 · Cognitive Complexity2.8 / 10Weak✓ Tool-verified

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

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

Maturity: DocumentedVerifiedPrevented · effective 2.8 / 10 · rule-coverage 100% · ceiling Prevented

9 method(s) exceeded the cognitive complexity threshold of 15; the worst was proxy.execute_devices at 97.

proxy.execute_devices (cognitive 97)salt_sproxy/_runners/proxy.py:738
SaltStandaloneProxyOptionParser._mixin_after_parsed (cognitive 71)salt_sproxy/parsers.py:570
proxy.execute (cognitive 58)salt_sproxy/_runners/proxy.py:1270
SaltStandaloneProxy.run (cognitive 57)salt_sproxy/cli.py:56
_roster.compound (cognitive 50)salt_sproxy/_roster/__init__.py:223

+ 4 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Resolve the 1 proxy.execute_devices (cognitive 97) finding(s) in Cognitive Complexity — start with proxy.py. — One of this dimension's main actionable groups (1 warning-level).
  2. Resolve the 1 SaltStandaloneProxyOptionParser._mixin_after_parsed (cognitive 71) finding(s) in Cognitive Complexity — start with parsers.py. — One of this dimension's main actionable groups (1 warning-level).
  3. Resolve the 1 proxy.execute (cognitive 58) finding(s) in Cognitive Complexity — start with proxy.py. — One of this dimension's main actionable groups (1 warning-level).
  4. Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

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

D3 · God Classes8.5 / 10Strong✓ Tool-verified

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

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

Maturity: DocumentedVerifiedPrevented · effective 8.5 / 10 · rule-coverage 100% · ceiling Prevented

2 god class(es) detected.

FileTooLong: _runners/proxy.py · ×2salt_sproxy/_runners/proxy.py:0

What to do

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

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

D4 · Code Duplication9.6 / 10Exemplary✓ 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: DocumentedVerifiedPrevented · effective 9.6 / 10 · rule-coverage 100% · ceiling Verified

5 duplicated block group(s) detected.

Duplicated block (11 lines × 2) · ×2salt_sproxy/_roster/__init__.py:65
Duplicated block (16 lines × 3)salt_sproxy/cli.py:250
Duplicated block (12 lines × 2)salt_sproxy/_roster/__init__.py:128
Duplicated block (6 lines × 2)salt_sproxy/_modules/netbox.py:170

✓ On the Gold path — maintain.

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

D8 · Code Coverage0.0 / 10Critical✓ Tool-verified

What it measures: How much of the code is actually exercised by tests.

Method: Coverage from coverlet runs or committed reports (Cobertura/OpenCover/lcov), computed per-file with structured exclusions for generated, trivial, and glue code. When the suite can't be built/run in-image AND no report is committed, coverage is reported NOT-MEASURED (excluded from the score) with the precondition to make it measurable — never a LoC-ratio proxy folded in as if measured. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Verified

No automated tests — no test code was found in this repository.

No automated tests

What to do

  1. Resolve the 1 No automated tests finding(s) in Code Coverage. — One of this dimension's main actionable groups (1 issue-level).
  2. Enforce Code Coverage in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

Detailed fixes: d8_recommendation.md · top locations in Appendix A, every location in findings.md.

D9 · Test Distribution0.0 / 10Critical✓ 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: DocumentedVerifiedPrevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

No test suite found.

No tests found

What to do

  1. Resolve the 1 No tests found finding(s) in Test Distribution. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d9_recommendation.md · top locations in Appendix A, every location in findings.md.

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: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

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

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

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

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No churn × complexity hotspots in the window.

✓ On the Gold path — maintain.

Detailed fixes: d15_recommendation.md.

D19 · Documentation Quality / 10Strong◐ 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: DocumentedVerifiedPrevented · effective Strong / 10 · rule-coverage 100% · ceiling Documented

The Salt Super-Proxy README and examples are strong: a top-level badge with Twitter share, PyPI/Docker/PyPI status, documentation status, code style, license, PR welcome, plus an extensive usage examples list. The two example docs (salt-sapi) show the intended API surface but one is clipped mid-body while the other is cut off; the visible content is clear and complete for a project of this size.

The 'Usage Examples' section lists links to 101, NAPALM, Ansible, NetBox, Salt API, salt-sapi, Pillar Roster, and File Roster modules but does not mention the main installation or configuration path.examples/README.rst

What to do

  1. Resolve the 1 The 'Usage Examples' section lists links to 101, NAPALM, Ansible,… finding(s) in Documentation Quality — start with README.rst. — One of this dimension's main actionable groups (1 recommendation-level).

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

D21 · Naming Consistency / 10Exemplary◐ Sampled · advisory

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

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

Maturity: DocumentedVerifiedPrevented · effective Exemplary / 10 · rule-coverage 100% · ceiling Verified

0 naming inconsistencies across 0 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

D28 · Secrets (history)9.0 / 10Exemplary✓ Tool-verified

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

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

Maturity: DocumentedVerifiedPrevented · effective 9.0 / 10 · rule-coverage 100% · ceiling Documented

1 finding(s): 0 critical, 1 high, 0 medium, 0 low. Remediation for historically-committed secrets is credential rotation — they remain in history regardless of later deletion.

Secret: generic-api-keyexamples/netbox/master:9detected by gitleaks finding
Rotate the exposed credentials — git history can't be un-committed

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md · top locations in Appendix A, every location in findings.md.

D29 · Static Analysis (SAST)1.2 / 10Critical✓ 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: DocumentedVerifiedPrevented · effective 1.2 / 10 · rule-coverage 100% · ceiling Documented

13 finding(s): 0 critical, 12 high, 1 medium, 0 low.

High: dependabot-missing-cooldown · ×12.github/dependabot.yml:3detected by semgrep finding
Medium: insecure-hash-algorithm-sha1salt_sproxy/_runners/proxy.py:1489detected by semgrep finding

What to do

  1. Resolve the 12 High finding(s) in Static Analysis (SAST) — start with codeql.yml (4), pythonpublish.yml (3), pythonapp.yml (2). — One of this dimension's main actionable groups (12 issue-level).
  2. Resolve the 1 Medium finding(s) in Static Analysis (SAST) — start with proxy.py. — One of this dimension's main actionable groups (1 warning-level).

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

D31 · IaC & Container Security8.8 / 10Strong✓ 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: DocumentedVerifiedPrevented · effective 8.8 / 10 · rule-coverage 100% · ceiling Documented

5 finding(s): 0 critical, 3 high, 2 medium, 0 low.

High IaC: DS-0002 · ×3Dockerfiledetected by trivy finding
Medium IaC: CKV_DOCKER_6 · ×2Dockerfile:3detected by trivy finding

What to do

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

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

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

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

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

Maturity: DocumentedVerifiedPrevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

11 of 11 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is salt_sproxy/_runners/proxy.py.

Orphaned knowledge · ×3salt_sproxy/_runners/proxy.py
Further orphaned files (smaller)

What to do

  1. Resolve the 3 Orphaned knowledge finding(s) in Knowledge Freshness — start with proxy.py, netbox.py, parsers.py. — One of this dimension's main actionable groups (3 issue-level).
  2. Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).

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

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

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

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

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

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

D36 · Supply-chain Provenance & Signing5.0 / 10Adequate✓ 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: DocumentedVerifiedPrevented · effective 5.0 / 10 · rule-coverage 100% · ceiling Documented

2/4 supply-chain integrity signals present (provenance, signing, SBOM, pinned actions).

Unpinned build actions
PR-triggered workflow without a permissions block
No SBOM

What to do

  1. Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
  2. Resolve the 1 PR-triggered workflow without a permissions block finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
  3. Resolve the 1 No SBOM 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.

D38 · OSV Dependency Vulnerabilities9.8 / 10Exemplary✓ Tool-verified

What it measures: Whether dependencies have known published vulnerabilities (CVEs) per the OSV database — read natively from whatever lockfile the repository ships (Cargo, npm, Go, Python, Maven, RubyGems, …). D33 and D30 add ecosystem-specific scanners on top for npm and .NET.

Method: Multi-ecosystem dependency-CVE scan via osv-scanner --recursive (queries the osv.dev database + parses lockfiles natively across ecosystems: npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven/Gradle pom.xml/gradle.lockfile, PyPI requirements.txt/poetry.lock/Pipfile.lock, Composer composer.lock, RubyGems Gemfile.lock, Hex mix.lock, pub pubspec.lock, Swift Package.resolved); severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer (8.0). NotApplicable only when the repo declares no supported non-.NET dependency lockfile (a NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain); coverage needs a resolved lockfile. Additive to D33 (trivy fs); exhaustive + deterministic, DB kept fresh.

Maturity: DocumentedVerifiedPrevented · effective 9.8 / 10 · rule-coverage 100% · ceiling Documented

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

Medium CVE: [GHSA redacted]requirements-dev.txtdetected by osv-scanner finding

✓ On the Gold path — maintain.

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

Frontend & cross-cutting dimensions

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

M1 · Documentation (README)6.0 / 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 build/run (quick start) section to the root README — the first thing a newcomer needs.
  • Add a 'Testing' section to the root README — how to run the test suite.
  • Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
M2 · Architecture documentation0.0 / 10Critical✓ Tool-verified

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

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

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

What to do

  • Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
  • Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.
M3 · Folder & project structure8.0 / 10Strong✓ 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.

  • Production code isn't grouped under a src/ folder — application code, tests and tooling are mixed at the repository root.

What to do

  • Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.
M4 · Documentation accuracy8.0 / 10Strong◐ 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.

  • README advertises a RAG / ML engine, but no ML/RAG code or dependency exists

What to do

  • Reconcile the README with reality: README advertises a RAG / ML engine, but no ML/RAG code or dependency exists.
P1 · CI/CD gates10.0 / 10Exemplary○ Nothing flagged

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

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

P3 · Security & performance tooling7.0 / 10Strong✓ 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

  • Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
P4 · Deployment & Rollback7.0 / 10Strong✓ 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.

P6 · Release Hygiene10.0 / 10Exemplary✓ Tool-verified

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

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

Reference — by lens

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

LensScoreRatingImpact
Code Health65%Adequate — gated by D2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Architecture100%ExemplaryStrongest area.
Maturity43%Weak — gated by D34, M2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness58%Adequate — gated by D8, D9Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security68%Adequate — gated by D29Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Not included — 69 check(s) not relevant to this codebase

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

  • AC1 Text alternatives — No web markup found — accessibility is not applicable to this repository.
  • AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
  • AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
  • AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
  • AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
  • AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
  • AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
  • AX1 Captive dependencies — no DI registrations detected
  • AX10 Code composition — not assessed — code composition is computed by ROLE over a document set that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX2 Stateful singletons — no singleton implementations detected
  • AX3 Project dependency cycles — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX4 Dependency direction — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX6 Interface segregation — not assessed — interface segregation is computed over a type surface that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX7 Slice cohesion — not applicable — not a vertical-slice architecture
  • AX8 Test isolation — not assessed — test isolation is computed from a project graph (which projects are test projects, and what they reference) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
  • AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C3 Audit Trail — Not assessed: these audit controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks audit controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C4 Data Retention — Not assessed: these retention controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks retention controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C5 Data-Subject Rights — Not assessed: these data-subject rights controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks data-subject rights controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • D10 Test Quality — No tests were found in the analyzed repository to assess for quality.
  • D11 Test Reliability — Test reliability not included
  • D12 Dependency Hygiene — Dependency hygiene not measured — dependency manifest found but not parsed for hygiene
  • D14 License Compliance — Not scored — this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (a Python pyproject.toml/requirements.txt (pip/uv/Poetry)), which this pass does not parse yet — so this dimension asserts nothing about this repository's licensing in either direction.
  • D16 Bus Factor — dormant codebase — no living knowledge left to concentrate
  • D17 Explicit Debt — explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language — this asserts nothing about how many markers the code carries. Not scored — this is a gap in the analyzer, not a finding about this repository
  • D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
  • D20 ADR Quality — N/A — ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
  • D22 Internal API Consistency — No exposed public API
  • D23 Boundary Type-Coupling — Production source is present (.py) but bounded contexts are resolved over the C#/VB project set, which exposed none, so context scope could not be assessed. Not scored — this is a gap in the analyzer, not a verdict about this repository. Declaring the codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed — see the recommendation on this dimension for where. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
  • D24 Comment Value — No inline comments to assess — comment value is not applicable here.
  • D25 ADR Conformance — no ADRs to check
  • D26 Project Cohesion — Project cohesion is assessed over the .NET project set; this target exposed no projects, so project size and spread could not be assessed. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
  • D27 Navigability — No calls could be sampled, so navigability was not assessed — tracing effort is measured over resolved call sites and this target exposed none. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
  • D30 Dependency Vulnerabilities — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Python pyproject.toml/requirements.txt (pip/uv/Poetry) — not scanned yet) — where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
  • D32 Data Compliance (PII/GDPR) — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
  • D33 JS/npm Dependency Vulnerabilities — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
  • D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
  • D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
  • D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
  • D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
  • D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
  • D5 Coupling — Inter-project coupling could not be assessed — no analyzable project graph was found for this repository. Not scored: a gap in the analyzer's reach, not a verdict about this repository. (Coupling here is Martin afferent/efferent/instability plus reference cycles across a project-reference graph, read today from .NET project files; other ecosystems' module graphs are not read yet.)
  • D6 Cohesion (LCOM4) — Cohesion (LCOM4) is measured over a C#/VB class graph, and this repository's production source is .py, which this pass does not read — so no class could be assessed. Not scored — this is a gap in the analyzer, not a finding about this repository.
  • D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
  • DM1 Domain Modelling — not scored — this repository shows none of the 3 signals this check looks for
  • ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check looks for
  • ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
  • ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this check looks for
  • GD1 Unfinished & placeholder code — no source files
  • IC1 Incompleteness & stubs — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
  • P2 Observability — Observability was not assessed: this check reads a source model that does not carry this repository's product — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of a logging idiom this check recognises is NOT evidence that this repo lacks structured logging (it may log through its own ecosystem's logger). This is a gap in the analyzer, not a finding about this repository.
  • P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
  • P7 Outbound HTTP resilience — not measured — the application kind could not be determined for this repo
  • P8 Schema migrations — not assessed — schema-migration practice is read from a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored, or wire coverage collection into CI, to enable this cross-layer check
  • PF1 Benchmark discipline — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • PF2 Allocation hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • PF3 Async & latency hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • 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
  • X2 Cancellation propagation — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X3 Exception handling — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X4 Structured logging — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X5 Nullable reference types — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository

Appendix A — Findings (grouped)

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

Issue — 20 finding(s)
D29 · Static Analysis (SAST) · High · ×12
  • High: dependabot-missing-cooldown .github/dependabot.yml:3 — This Dependabot configuration does not set a cooldown period. Newly published packages can be malicious or unstable. Add a `cooldown` block with `default-days: 7` to each `package-ecosystem` entry under `updates` to wait 7 days before proposing updates to newly published package versions. Reference: https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#cooldown. This is a semgrep security-AUDIT rule reporting a POLICY that is absent or weaker than its recommendation, not an exploitable defect. Confirm whether the current setting is a deliberate decision for this repository — and apply the change where it is not; where it is (a policy your release process already enforces elsewhere, or one this repository has consciously opted out of), record the decision and leave the configuration as it is. This configuration file has 2 such entries; one cooldown decision clears them all — reported once.
  • High: github-actions-mutable-action-tag .github/workflows/codeql.yml:49 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v3`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v3 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/codeql.yml:53 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: github/codeql-action/init@<40-character SHA>`. This step references `github/codeql-action/init@v2`; resolve the SHA it points at today with `gh api repos/github/codeql-action/commits/v2 --jq .sha`. `github/codeql-action/init` is hosted INSIDE the `github/codeql-action` repository (a subdirectory action or a reusable workflow), so the SHA to pin is that repository's commit — keep the full `github/codeql-action/init` path in `uses:` and query only `github/codeql-action`.
  • High: github-actions-mutable-action-tag .github/workflows/codeql.yml:67 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: github/codeql-action/autobuild@<40-character SHA>`. This step references `github/codeql-action/autobuild@v2`; resolve the SHA it points at today with `gh api repos/github/codeql-action/commits/v2 --jq .sha`. `github/codeql-action/autobuild` is hosted INSIDE the `github/codeql-action` repository (a subdirectory action or a reusable workflow), so the SHA to pin is that repository's commit — keep the full `github/codeql-action/autobuild` path in `uses:` and query only `github/codeql-action`.
  • High: github-actions-mutable-action-tag .github/workflows/codeql.yml:80 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: github/codeql-action/analyze@<40-character SHA>`. This step references `github/codeql-action/analyze@v2`; resolve the SHA it points at today with `gh api repos/github/codeql-action/commits/v2 --jq .sha`. `github/codeql-action/analyze` is hosted INSIDE the `github/codeql-action` repository (a subdirectory action or a reusable workflow), so the SHA to pin is that repository's commit — keep the full `github/codeql-action/analyze` path in `uses:` and query only `github/codeql-action`.
  • High: github-actions-mutable-action-tag .github/workflows/gh-reg-publish.yml:39 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v3`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v3 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/pythonapp.yml:21 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v3`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v3 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/pythonapp.yml:23 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-python@<40-character SHA>`. This step references `actions/setup-python@v3`; resolve the SHA it points at today with `gh api repos/actions/setup-python/commits/v3 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/pythonpublish.yml:12 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v2`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v2 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/pythonpublish.yml:14 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-python@<40-character SHA>`. This step references `actions/setup-python@v1`; resolve the SHA it points at today with `gh api repos/actions/setup-python/commits/v1 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/pythonpublish.yml:32 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: pypa/gh-action-pypi-publish@<40-character SHA>`. This step references `pypa/gh-action-pypi-publish@master`; resolve the SHA it points at today with `gh api repos/pypa/gh-action-pypi-publish/commits/master --jq .sha`.
  • High: eval-detected salt_sproxy/_roster/__init__.py:326 — Detected the use of eval(). eval() can be dangerous if used to evaluate dynamic content. If this content can be input from outside the program, this may be a code injection vulnerability. Ensure evaluated content is not definable by external sources. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
D31 · IaC & Container Security · High IaC · ×3
  • High IaC: DS-0002 Dockerfile — Image user should not be 'root' A container that starts as root runs your process with root's capabilities inside the namespace, so a compromise of the process starts from there. The step: create an unprivileged account in the image (`RUN adduser --system --no-create-home app`), give it ownership of the paths the process writes at runtime (`COPY --chown=` on those layers, or a `RUN chown -R`), and end the final stage with `USER app` so it is the default at start. Build stages that only compile can stay root; it is the stage that RUNS that needs the account. If the process genuinely requires root — it manages the container runtime, ptraces another process or opens raw devices — say so here rather than making a change that breaks it.
  • High IaC: DS-0022 Dockerfile — Deprecated MAINTAINER used
  • High IaC: DS-0029 Dockerfile — 'apt-get' missing '--no-install-recommends'
D34 · Knowledge Freshness · Orphaned knowledge · ×3
  • Orphaned knowledge salt_sproxy/_runners/proxy.py — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
  • Orphaned knowledge salt_sproxy/_modules/netbox.py — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
  • Orphaned knowledge salt_sproxy/parsers.py — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
D28 · Secrets (history) · Secret · ×1
  • Secret: generic-api-key examples/netbox/master:9 — matched rule 'generic-api-key'
D8 · Code Coverage · No automated tests · ×1
  • No automated tests — No automated tests — no test code was found in this repository. Untested code is the largest single risk to changing it safely.
Warning — 31 finding(s)
D3 · God Classes · FileTooLong · ×2
  • FileTooLong: _runners/proxy.py salt_sproxy/_runners/proxy.py:0 — FileTooLong — 986 significant lines (blank, comment-only and punctuation-only lines excluded). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
  • FileTooLong: _modules/netbox.py salt_sproxy/_modules/netbox.py:0 — FileTooLong — 504 significant lines (blank, comment-only and punctuation-only lines excluded). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
D31 · IaC & Container Security · Medium IaC · ×2
  • Medium IaC: CKV_DOCKER_6 Dockerfile:3 — Ensure that LABEL maintainer is used instead of MAINTAINER (deprecated)
  • Medium IaC: CKV_DOCKER_3 Dockerfile:1 — Ensure that a user for the container has been created
D4 · Code Duplication · Duplicated block (11 lines × 2) · ×2
  • Duplicated block (11 lines × 2) salt_sproxy/_roster/__init__.py:65 — salt_sproxy/_roster/__init__.py:65-75 | salt_sproxy/_roster/__init__.py:80-90 — 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 `salt_sproxy/_roster/__init__.py:65` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
  • Duplicated block (11 lines × 2) salt_sproxy/_roster/__init__.py:109 — salt_sproxy/_roster/__init__.py:109-119 | salt_sproxy/_roster/__init__.py:146-156 — 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.
D1 · Cyclomatic Complexity · proxy.execute_devices (cyclomatic 53) · ×1
  • proxy.execute_devices (cyclomatic 53) salt_sproxy/_runners/proxy.py:738 — proxy.execute_devices has cyclomatic complexity 53 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
D1 · Cyclomatic Complexity · SaltStandaloneProxy.run (cyclomatic 48) · ×1
  • SaltStandaloneProxy.run (cyclomatic 48) salt_sproxy/cli.py:56 — SaltStandaloneProxy.run has cyclomatic complexity 48 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
D1 · Cyclomatic Complexity · proxy.execute (cyclomatic 39) · ×1
  • proxy.execute (cyclomatic 39) salt_sproxy/_runners/proxy.py:1270 — proxy.execute has cyclomatic complexity 39 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
D1 · Cyclomatic Complexity · SProxyMinion.gen_modules (cyclomatic 31) · ×1
  • SProxyMinion.gen_modules (cyclomatic 31) salt_sproxy/_runners/proxy.py:276 — SProxyMinion.gen_modules has cyclomatic complexity 31 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
D1 · Cyclomatic Complexity · proxy.salt_call (cyclomatic 25) · ×1
  • proxy.salt_call (cyclomatic 25) salt_sproxy/_runners/proxy.py:504 — proxy.salt_call has cyclomatic complexity 25 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
D1 · Cyclomatic Complexity · SaltStandaloneProxyOptionParser._mixin_after_parsed (cyclomatic 25) · ×1
  • SaltStandaloneProxyOptionParser._mixin_after_parsed (cyclomatic 25) salt_sproxy/parsers.py:570 — SaltStandaloneProxyOptionParser._mixin_after_parsed has cyclomatic complexity 25 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
D1 · Cyclomatic Complexity · _roster.compound (cyclomatic 23) · ×1
  • _roster.compound (cyclomatic 23) salt_sproxy/_roster/__init__.py:223 — _roster.compound has cyclomatic complexity 23 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
D1 · Cyclomatic Complexity · _roster.load_cache (cyclomatic 17) · ×1
  • _roster.load_cache (cyclomatic 17) salt_sproxy/_roster/__init__.py:26 — _roster.load_cache has cyclomatic complexity 17 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
D16 · Bus Factor · dormant codebase · ×1
  • dormant codebase — no living knowledge left to concentrate — All 11 significant source file(s) were last meaningfully changed so long ago that no living knowledge remains — nothing since has been substantial enough to re-establish ownership (a broad, mechanical sweep that touches many files shallowly does not count, and neither does no activity at all). There is no concentration to measure, so the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).
D2 · Cognitive Complexity · proxy.execute_devices (cognitive 97) · ×1
  • proxy.execute_devices (cognitive 97) salt_sproxy/_runners/proxy.py:738 — proxy.execute_devices has cognitive complexity 97 (threshold 15). Drivers by points: if/else 73, loops 14, boolean chains 6, ternaries 4 (nesting depth added 40). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · SaltStandaloneProxyOptionParser._mixin_after_parsed (cognitive 71) · ×1
  • SaltStandaloneProxyOptionParser._mixin_after_parsed (cognitive 71) salt_sproxy/parsers.py:570 — SaltStandaloneProxyOptionParser._mixin_after_parsed has cognitive complexity 71 (threshold 15). Drivers by points: if/else 47, loops 17, error handling 6, boolean chains 1 (nesting depth added 44). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · proxy.execute (cognitive 58) · ×1
  • proxy.execute (cognitive 58) salt_sproxy/_runners/proxy.py:1270 — proxy.execute has cognitive complexity 58 (threshold 15). Drivers by points: if/else 41, boolean chains 13, loops 4 (nesting depth added 17). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · SaltStandaloneProxy.run (cognitive 57) · ×1
  • SaltStandaloneProxy.run (cognitive 57) salt_sproxy/cli.py:56 — SaltStandaloneProxy.run has cognitive complexity 57 (threshold 15). Drivers by points: if/else 42, boolean chains 10, loops 4, error handling 1 (nesting depth added 10). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.
D2 · Cognitive Complexity · _roster.compound (cognitive 50) · ×1
  • _roster.compound (cognitive 50) salt_sproxy/_roster/__init__.py:223 — _roster.compound has cognitive complexity 50 (threshold 15). Drivers by points: if/else 44, boolean chains 3, loops 2, error handling 1 (nesting depth added 25). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · SProxyMinion.gen_modules (cognitive 42) · ×1
  • SProxyMinion.gen_modules (cognitive 42) salt_sproxy/_runners/proxy.py:276 — SProxyMinion.gen_modules has cognitive complexity 42 (threshold 15). Drivers by points: if/else 34, boolean chains 6, error handling 2 (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · proxy.salt_call (cognitive 39) · ×1
  • proxy.salt_call (cognitive 39) salt_sproxy/_runners/proxy.py:504 — proxy.salt_call has cognitive complexity 39 (threshold 15). Drivers by points: if/else 31, error handling 4, loops 3, boolean chains 1 (nesting depth added 13). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · _roster.load_cache (cognitive 29) · ×1
  • _roster.load_cache (cognitive 29) salt_sproxy/_roster/__init__.py:26 — _roster.load_cache has cognitive complexity 29 (threshold 15). Drivers by points: if/else 23, boolean chains 3, loops 3 (nesting depth added 13). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · netbox.openconfig_interfaces (cognitive 25) · ×1
  • netbox.openconfig_interfaces (cognitive 25) salt_sproxy/_modules/netbox.py:572 — netbox.openconfig_interfaces has cognitive complexity 25 (threshold 15). Drivers by points: if/else 23, loops 2 (nesting depth added 13). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D29 · Static Analysis (SAST) · Medium · ×1
  • Medium: insecure-hash-algorithm-sha1 salt_sproxy/_runners/proxy.py:1489 — Detected SHA1 hash algorithm which is considered insecure. SHA1 is not collision resistant and is therefore not suitable as a cryptographic signature. Use SHA256 or SHA3 instead.
D36 · Supply-chain Provenance & Signing · Unpinned build actions · ×1
  • Unpinned build actions — CI references GitHub Actions by a floating ref (@main / @tag) rather than a pinned commit SHA, weakening build integrity. 10 floating ref(s) across 4 workflow file(s), 1 of them mutable BRANCH refs — pin those first. Each floating ref is itemized at file:line by the SAST (D29) lens.
D36 · Supply-chain Provenance & Signing · PR-triggered workflow without a permissions block · ×1
  • PR-triggered workflow without a permissions block — 1 workflow(s) triggered by pull_request declare no `permissions:` block (pythonapp.yml) and so run with the repository's default GITHUB_TOKEN scope, while 2 sibling workflows in the same repository are already scoped. Pull-request runs build the least-trusted code in the repository; give each of these workflows its own least-privilege block — `permissions: {contents: read}` at the top of the workflow, widened per job only where a job genuinely writes.
D38 · OSV Dependency Vulnerabilities · Medium CVE · ×1
  • Medium CVE: [GHSA redacted] requirements-dev.txt — black 23.10.1: [GHSA redacted] — upgrade to 24.3.0. This is 1 of 3 advisories with a published fix this scan raises against black 23.10.1, and their fixed versions do not agree — anything below 26.3.1 still leaves at least one of them open. Take this package to 26.3.1 or later: that is the floor for the package, not this row's target alone. This one row stands for the 3 advisories this scan raises against black 23.10.1: [GHSA redacted], PYSEC-2026-2120, PYSEC-2026-2121.
D4 · Code Duplication · Duplicated block (16 lines × 3) · ×1
  • Duplicated block (16 lines × 3) salt_sproxy/cli.py:250 — salt_sproxy/cli.py:250-269 | salt_sproxy/cli.py:287-302 | salt_sproxy/cli.py:305-322 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited.
D4 · Code Duplication · Duplicated block (12 lines × 2) · ×1
  • Duplicated block (12 lines × 2) salt_sproxy/_roster/__init__.py:128 — salt_sproxy/_roster/__init__.py:128-139 | salt_sproxy/_roster/__init__.py:165-176 — 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) salt_sproxy/_modules/netbox.py:170 — salt_sproxy/_modules/netbox.py:170-175 | salt_sproxy/_roster/netbox.py:142-147 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.
Recommendation — 6 finding(s)
D11 · Test Reliability · Test reliability not included · ×1
  • Test reliability not included — No test suite was found, so reliability couldn't be assessed.
D19 · Documentation Quality · The 'Usage Examples' section lists links to 101, NAPALM, Ansible, NetBox, Salt API, salt-sapi, Pillar Roster, and File Roster modules but does not mention the main installation or configuration path. · ×1
  • The 'Usage Examples' section lists links to 101, NAPALM, Ansible, NetBox, Salt API, salt-sapi, Pillar Roster, and File Roster modules but does not mention the main installation or configuration path. examples/README.rst — Add a brief Installation/Configuration note pointing to the master config example (salt_sapi/master) so readers can get started without opening each linked example.
D28 · Secrets (history) · Rotate the exposed credentials · ×1
  • Rotate the exposed credentials — git history can't be un-committed — Some of these secrets are in git HISTORY: deleting the file does not remove them (the commit persists on every clone, fork and backup). The remediation is to ROTATE each historically-exposed credential and treat it as compromised — not to delete the file. Rewriting history is disruptive and unreliable across existing forks. (Working-tree-only secrets — no commit — can instead be removed from the file and moved to a secret store.) Every location above sits inside a test/fixture/sample tree, so there may be no live credential to revoke — in that case the performable actions are different ones: confirm each value was never reused outside the tests (a fixture key shared with a staging or demo environment IS a live credential and must be rotated), generate this material at test time instead of committing it so the next one cannot be mistaken for a real leak, and record the deliberate exposure where a reader of the file will see it. Rotate anything that fails the first check.
D34 · Knowledge Freshness · Further orphaned files (smaller) · ×1
  • Further orphaned files (smaller) — 8 smaller file(s) also have no living knowledge — folded into the freshness score and metrics rather than listed individually (11 orphaned of 11 analysed files in total, counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first).
D36 · Supply-chain Provenance & Signing · No SBOM · ×1
  • No SBOM — No SBOM generation or committed SBOM found — produce one with what your ecosystem ships (`cyclonedx-py` over the resolved Python environment/lockfile, `syft` (or `anchore/sbom-action` in CI) over the source tree or released image). Publish it as a release asset (`*.spdx.json` / `*.cdx.json`) so consumers can see what they are installing.
D9 · Test Distribution · No tests found · ×1
  • No tests found — No test suite could be collected — nothing here references a test framework (pytest or unittest), so there were no discoverable tests to count. Tests written as plain executables or shell/PowerShell harnesses are not collectible this way and are not scored here.
Info — 2 finding(s)
D12 · Dependency Hygiene · Dependency hygiene not measured · ×1
  • Dependency hygiene not measured — dependency manifest found but not parsed for hygiene — This repository's dependency manifest (a Python pyproject.toml/requirements.txt (pip/uv/Poetry)) was found, but this pass cannot parse it for hygiene, so no package was assessed. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED — a gap in the analyzer, not a verdict about this repository. This row is about dependency HYGIENE — outdated, deprecated or unmaintained direct dependencies; known CVEs in the same dependency graph are a separate question, reported under D38 wherever the manifest is OSV-readable.
D22 · Internal API Consistency · No exposed public API · ×1
  • No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.

Appendix B — Reproduction & audit trail

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

DimensionToolVersionCommandFindingsRaw output
D28 · Secrets (history)gitleaksgitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .1artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)semgrepsemgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .13artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilitiesnone (no readable dependency manifest)none (no readable dependency manifest): not present in this environment0
D31 · IaC & Container Securitytrivytrivy config --format json --quiet .5artifacts/raw/trivy-config.json
D32 · Data Compliance (PII/GDPR)semgrepsemgrep: not applicable — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.0
D33 · JS/npm Dependency Vulnerabilitiestrivytrivy: not applicable — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.0
D37 · Vulnerability-disclosure Policydisclosuredisclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.0
D38 · OSV Dependency Vulnerabilitiesosv-scannerosv-scanner --format json --recursive .1artifacts/raw/osv-scanner.json
D40 · Network Egress Confinementruntime-hardeningruntime-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-hardeningruntime-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-hardeningruntime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.0

Run 019fcf34-ffd5-744a-812d-21532697d527 · 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