Public report — core, published 3 Aug 2026.
Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version;
ask the repo owner for the full report.
211findings with an exact file:lineof 228 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
26/95dimensions across the health lenses27769 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.
gazette/core is sound in substance but carries real gaps (53%). It is not in crisis, but the issues below raise the cost of changing it — friction its consumers ultimately inherit.
It is strongest in Architecture (100%) — the structure is clean and changes stay contained.
Most urgent: a critical security exposure was detected (see the Security & Compliance lens). Treat it as a priority regardless of the overall grade.
The area that most needs attention is Security (44%) — exposure to security and compliance incidents is elevated. Readiness (52%) 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: SAST step to CI running what this repository's stack ships (Security & performance tooling); Stamp a version in your build/package manifest (e.g. csproj <Version> (Release Hygiene); 37 Medium IaC finding(s) (IaC & Container Security).
For scale: Medium (~27,769 production lines); rebuilding it from scratch would take roughly ~0.4 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 headlineWidth is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
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.
0.7× (at 53% quality) — the last 20% of quality is most of the work
Size & shape
Medium · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)
This codebase represents roughly ~0.4 person-years of build effort (about ~€60,000 to rebuild). Its weakest lens is Security at 44% — the part of that asset most exposed by the findings below.
How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.2) — CQRS × a 0.7× quality factor, at €60–95/h; indicative, ±~30% · size measured directly from source · effort from total production LoC as straight-line logic (the tier split is a C#-only syntax walk), a conservative lower bound. Indicative only — most sensitive to the hourly rate and the domain tier (both tunable in config).
Top priorities
The highest-leverage moves; the full ranked list is in the Roadmap below.
1
Add a SAST step to CI running what this repository's stack ships: gosec / govulncheck (or golangci-lint) — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing.
Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.
Value concentrated against a weak lens · High · Value at risk
This is a Medium asset (~0.4 person-years to rebuild), and its weakest lens is Security at 44%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
→ Direct remediation budget at Security first — highest risk-reduction per euro on an asset this size.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Add a SAST step to CI running what this repository's stack ships: gosec / govulncheck (or golangci-lint) — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Add a SAST step to CI running what this repository's stack ships: gosec / govulncheck (or golangci-lint) — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing.
A velocity tax on every change · Medium · Economics
The code-quality signals (complexity, duplication, cohesion) average 6.4/10, which acts as a tax on every change in the weaker areas: modifications there plausibly cost on the order of 4–9% 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 6.4/10 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.
The top fix pays for itself · Medium · Economics
The top-ranked fix costs roughly 3–10 engineer-days once. Not doing it costs about 0.4–2.3 engineer-days every year, paid as drag on the ~3,723 lines this team changes annually — a bill that arrives whether or not anyone books it. On those figures the fix breaks even in roughly 16–317 months and is free after that. Method, stated so this is not read as a quotation: debt from the ranked task's effort band; interest = annual changed lines (measured, annualised from the 90-day window) ÷ an ASSUMED 150–400 lines per engineer-day × the 4–9% drag implied by the code-quality signals; breaking point = debt ÷ annual interest. A modelled planning range built from measured inputs and one named assumption — not a quotation, a valuation, or a certified figure.
Evidence: D15 churn: 918 line(s) changed over a 90-day window ⇒ ~3,723/year · D1/D2/D4 code quality: averaging 6.4/10 ⇒ a 4–9% drag on each change · top-ranked remediation: Medium effort ⇒ about 3–10 engineer-day(s)
→ Do the top-ranked fix now if this code will still be yours in 317 months.
Architecture — module dependency matrix
47 modules, 133 dependencies — 1 dependency cycle, shown as the red cell(s) above the diagonal. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows — an unusual but cycle-free dependency sits below the diagonal like any other.)
At a glance — Code Health · 73% · Adequate · gated by D2
Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).
OWASP category
Findings
Severity
A05:2021 — Security Misconfiguration
50
High / Critical
A03:2021 — Injection
43
High / Critical
A06:2021 — Vulnerable & Outdated Components
8
High / Critical
Roadmap
First, integrate automated security scanning into the CI pipeline to fail builds on regressions. Next, implement version stamping in build manifests to ensure all releases are traceable. Then, address the medium-severity IaC and container security findings, starting with the deployment and patches configurations. Finally, improve onboarding by adding a quick start section to the README and document key architectural decisions in a central location.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Add a SAST step to CI running what this repository's stack ships: gosec / govulncheck (or golangci-lint) — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing.
Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.
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).
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
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. 25 of 26 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 1 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.6 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.
Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.
What we checked — 26 dimensions across the health lenses
Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.
How to trust any code-health report — three questions
Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 211 of 228 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.
This report answers yes to all three. That's the bar to hold any assessment to.
Tools & methods
The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.
D19 Documentation Quality — LLM provider failed — The model provider returned an unusable result, so this LLM-assisted dimension fell back to a measurement gap (confidence 0) rather than a penalty. Re-run with a reachable provider to score it.
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.
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.
D16 Bus Factor: Bus-factor is a time-decayed model of commit attribution (who has recently, repeatedly worked a file), not comprehension — pairing, review and reading-without-committing spread knowledge it can't see; bot commits and shared accounts still distort it.
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.
D40 Network Egress Confinement: Egress confinement is read from committed Kubernetes manifests — a policy applied out-of-band (cluster-default deny, a service mesh, or a cloud firewall/security group off-repo) is invisible, and a present NetworkPolicy is declared config, not proof the cluster admission-controller actually enforces it at runtime.
D41 Kernel & Syscall Confinement: Syscall/MAC confinement is read from committed manifests — a profile applied by a cluster-wide PodSecurity default or a mutating webhook off-repo isn't seen, and a declared seccomp/AppArmor profile is config presence, not proof the node's kernel actually loaded and enforced it.
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 (2): 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.
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.
+ 26 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 1 recoverylog.playLog (cyclomatic 49) finding(s) in Cyclomatic Complexity — start with playback.go. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 appendFSM.onValidatePreconditions (cyclomatic 38) finding(s) in Cyclomatic Complexity — start with append_fsm.go. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 Resolver.Resolve (cyclomatic 36) finding(s) in Cyclomatic Complexity — start with resolver.go. — One of this dimension's main actionable groups (1 warning-level).
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.
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.
+ 54 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 1 recoverylog.playLog (cognitive 88) finding(s) in Cognitive Complexity — start with playback.go. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 MaxFlow.discharge (cognitive 66) finding(s) in Cognitive Complexity — start with push_relabel.go. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 Resolver.Resolve (cognitive 63) finding(s) in Cognitive Complexity — start with resolver.go. — One of this dimension's main actionable groups (1 warning-level).
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.
Do you agree with this assessment?
D3 · God Classes10.0 / 10Exemplary✓ Tool-verified
What it measures: Over-large classes that try to do too much ("god classes").
Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.
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.
What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.
Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.
What it measures: 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.
Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D16 · Bus Factor8.9 / 10Strong✓ Tool-verified
What it measures: Whether knowledge is concentrated in too few people (the "bus factor").
Method: Living knowledge per author via time-decayed commit attribution (6-month half-life, focus weighting) across largest source files. Deterministic, avoids blame's mechanical-refactor false positives.
12 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is broker/append_fsm.go.
Off-boarding risk: anonymized user #1 · ×2
Further sole-owners (lower concentration)
What to do
Resolve the 2 Off-boarding risk finding(s) in Bus Factor. — One of this dimension's main actionable groups (2 recommendation-level).
Resolve the 1 Further sole-owners (lower concentration) finding(s) in Bus Factor. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d16_recommendation.md · top locations in Appendix A, every location in findings.md.
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.
What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.
Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.
What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.
Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.
Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).
High: github-actions-mutable-action-tag · ×6.github/workflows/ci-workflow.yaml:13detected by semgrep finding
Medium: use-of-sha1 · ×18broker/append_fsm.go:656detected by semgrep finding
Low: missing-ssl-minversion · ×19broker/client/reader.go:419detected by semgrep finding
What to do
Resolve the 19 Low finding(s) in Static Analysis (SAST) — start with store.go (9), hooked_env.go (5), arena_iterator.go (4). — One of this dimension's main actionable groups (19 recommendation-level).
Resolve the 18 Medium finding(s) in Static Analysis (SAST) — start with spool.go (3), deployment.yaml (3), statefulset.yaml (2). — One of this dimension's main actionable groups (18 warning-level).
Resolve the 6 High finding(s) in Static Analysis (SAST) — start with ci-workflow.yaml (6). — One of this dimension's main actionable groups (6 issue-level).
Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.
High IaC: KSV-0014 · ×12kustomize/bases/broker/deployment.yamldetected by trivy finding
Critical IaC: DS-0011Dockerfiledetected by trivy finding
Medium IaC: KSV-0001 · ×37kustomize/bases/broker/deployment.yamldetected by trivy finding
What to do
Resolve the 37 Medium IaC finding(s) in IaC & Container Security — start with deployment.yaml (10), patches.yaml (6), chunker.yaml (5). — One of this dimension's main actionable groups (37 warning-level).
Resolve the 12 High IaC finding(s) in IaC & Container Security — start with deployment.yaml (3), statefulset.yaml (2), patches.yaml (2). — One of this dimension's main actionable groups (12 issue-level).
Resolve the 1 Critical IaC finding(s) in IaC & Container Security — start with Dockerfile. — One of this dimension's main actionable groups (1 issue-level).
Detailed fixes: d31_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.
Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.
7 of 114 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is cmd/gazctl/gazctlcmd/editor/editor.go.
Further orphaned files (smaller)
✓ On the Gold path — maintain.
Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.
Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.
Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling; coupling through a build step, config, or non-source file isn't seen.
What it measures: Whether 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.
Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 Workflow token permissions not restricted finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 No build provenance 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.
What it measures: Whether dependencies have known published vulnerabilities (CVEs) per the OSV database — read natively from whatever lockfile the repository ships (Cargo, npm, Go, Python, Maven, RubyGems, …). D33 and D30 add ecosystem-specific scanners on top for npm and .NET.
Method: Multi-ecosystem dependency-CVE scan via osv-scanner --recursive (queries the osv.dev database + parses lockfiles natively across ecosystems: npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven/Gradle pom.xml/gradle.lockfile, PyPI requirements.txt/poetry.lock/Pipfile.lock, Composer composer.lock, RubyGems Gemfile.lock, Hex mix.lock, pub pubspec.lock, Swift Package.resolved); severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer (8.0). NotApplicable only when the repo declares no supported non-.NET dependency lockfile (a NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain); coverage needs a resolved lockfile. Additive to D33 (trivy fs); exhaustive + deterministic, DB kept fresh.
High vulnerability: [GHSA redacted]go.moddetected by osv-scanner finding
Medium CVE: GO-2022-0635 · ×5go.moddetected by osv-scanner finding
Medium vulnerability: GO-2026-5841 · ×2go.moddetected by osv-scanner finding
What to do
Resolve the 1 High vulnerability finding(s) in OSV Dependency Vulnerabilities — start with go.mod. — One of this dimension's main actionable groups (1 issue-level).
Resolve the 5 Medium CVE finding(s) in OSV Dependency Vulnerabilities — start with go.mod (5). — One of this dimension's main actionable groups (5 warning-level).
Resolve the 2 Medium vulnerability finding(s) in OSV Dependency Vulnerabilities — start with go.mod (2). — One of this dimension's main actionable groups (2 warning-level).
Detailed fixes: d38_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether Kubernetes workloads restrict network EGRESS with a NetworkPolicy (or Cilium policy), limiting where a compromised pod can send data or reach a command-and-control server. Presence of committed egress-restricting policy, not runtime enforcement.
Method: Deterministic YAML-manifest inspection (no external tool, no Roslyn — language-agnostic): Kubernetes workloads gate applicability; credits a NetworkPolicy / Cilium policy that restricts egress (policyTypes: [Egress] / egress rules). Reward-leaning (neutral floor climbing to 10, never a deduction — baseline misconfigs stay with D31). Deterministic.
What it measures: Whether Kubernetes workloads confine the kernel boundary — a seccomp profile (RuntimeDefault/Localhost) plus an AppArmor/SELinux mandatory-access-control layer — shrinking the syscall attack surface a container escape would use. Presence of committed confinement config, not runtime enforcement.
Method: Deterministic YAML-manifest inspection (no external tool, no Roslyn): on Kubernetes workloads, credits a seccomp profile (RuntimeDefault/Localhost) and an AppArmor/SELinux MAC layer. Reward-leaning (neutral floor climbing to 10); NotApplicable without workloads. Deterministic.
Resolve the 1 No seccomp profile finding(s) in Kernel & Syscall Confinement. — One of this dimension's main actionable groups (1 recommendation-level).
Resolve the 1 No AppArmor/SELinux confinement finding(s) in Kernel & Syscall Confinement. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d41_recommendation.md · top locations in Appendix A, every location in findings.md.
Other · Architecture — Whether the codebase has a recognisable, scale-appropriate structure (a named architectural style, or modular enough for its size) rather than being an ad-hoc ball of mud.
Method: Roslyn plus csproj analysis: architecture style detection (DDD, clean, vertical-slice, CQRS) and structure fitness for repo size. Deterministic.
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.
29 code files changed in the last 6 months but the README was not touched — it may no longer reflect the system.
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.
Review the README against recent changes; refresh the parts that drifted.
Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.
Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.
No Architecture Decision Records found — no conventional ADR directory, no `NNNN-title.md` documents and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
What to do
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Maturity · Maturity — Whether the 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.
Do you agree with this assessment?
P1 · CI/CD gates8.5 / 10Strong✓ Tool-verified
Readiness · Readiness — Whether an automated pipeline builds and tests every change.
Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.
A CI pipeline exists and the word "test" appears, but no explicit test-runner invocation (your stack's test command, or a test job) was matched — so either the gate runs tests through a step this pass could not recognise, or "test" is incidental here (a path, "latest", a reporter). Check the coverage dimensions first: if this repo has no test suite yet, that is the finding and this row follows from it. If a suite does exist, make the runner step explicit so the gate is unambiguous.
What to do
Run the test suite in CI via an explicit runner step for your stack, and gate merges on it.
Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.
No static application security testing detected. For this repository's stack, add gosec / govulncheck (or golangci-lint) (or `semgrep --config=auto`, which runs on any language) as a CI step.
What to do
Add a SAST step to CI running what this repository's stack ships: gosec / govulncheck (or golangci-lint) — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing.
Enable Dependabot/Renovate or a dependency-review gate.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.
Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.
What to do
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
Readiness · Readiness — Whether releases are traceable — a maintained changelog and explicit version stamping.
Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.
What to do
Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.
Do you agree with this assessment?
Reference — by lens
The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.
Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Not included — 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 applicable to a CQRS architecture (the inward-dependency rule is for layered/clean styles)
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 — ~23932 lines of test source are present (.go) but the test-quality collector reads C# only, so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D11 Test Reliability — Test reliability not included
D12 Dependency Hygiene — Dependency hygiene not measured — dependency manifest found but not parsed for hygiene
D14 License Compliance — Not scored — this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (a Go module (go.mod/go.sum) and 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.
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.
D19 Documentation Quality — LLM evaluation failed
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 (.go, .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 Go module (go.mod/go.sum) and 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.
D42 Runtime Threat Enforcement — The repository ships application workloads but no cluster-governance resources (CRDs, admission webhooks, or a committed policy engine). Runtime threat-detection (Falco/Tetragon) and admission control (Kyverno/OPA-Gatekeeper/PodSecurity) are cluster-OPERATOR controls owned by the platform, not shipped by an application repo/chart — nothing for this repo to assess.
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 mostly .go, .py, which this pass does not read, so cohesion was not assessed for this repository. Not scored — this is a gap in the analyzer, not a finding about this repository.
D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
D8 Code Coverage — Coverage not included — suite not readable by the collector
D9 Test Distribution — Test source is present (.go) but the test-pyramid classifier reads C# only, so its unit/integration/BDD/E2E split couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
DM1 Domain Modelling — applicable but not scored (2 of 2 signals for this style — below the bar we score at): 3 strongly-typed id(s); 3 value object(s)
ED1 Event-Driven — applicable but not scored (2 of 3 signals for this style — below the bar we score at): 1 integration event(s); 1 CQRS handler(s)
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows only 1 of the 3 signals this check looks for (an append-only event-store seam (IEventStore/Append-of-events))
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 (`go test -coverprofile=coverage.out ./...`) 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.
SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X1 Async correctness — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X2 Cancellation propagation — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X3 Exception handling — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X4 Structured logging — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X5 Nullable reference types — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
Appendix A — Findings (grouped)
The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.
High: github-actions-mutable-action-tag .github/workflows/ci-workflow.yaml:13— 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@v4`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v4 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/ci-workflow.yaml:17— 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: docker/setup-qemu-action@<40-character SHA>`. This step references `docker/setup-qemu-action@v3`; resolve the SHA it points at today with `gh api repos/docker/setup-qemu-action/commits/v3 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/ci-workflow.yaml:18— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: docker/setup-buildx-action@<40-character SHA>`. This step references `docker/setup-buildx-action@v3`; resolve the SHA it points at today with `gh api repos/docker/setup-buildx-action/commits/v3 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/ci-workflow.yaml:24— 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-go@<40-character SHA>`. This step references `actions/setup-go@v4`; resolve the SHA it points at today with `gh api repos/actions/setup-go/commits/v4 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/ci-workflow.yaml: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: docker/build-push-action@<40-character SHA>`. This step references `docker/build-push-action@v5`; resolve the SHA it points at today with `gh api repos/docker/build-push-action/commits/v5 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/ci-workflow.yaml:41— 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: docker/build-push-action@<40-character SHA>`. This step references `docker/build-push-action@v5`; resolve the SHA it points at today with `gh api repos/docker/build-push-action/commits/v5 --jq .sha`.
Medium IaC: KSV-0001 kustomize/bases/broker/deployment.yaml— Can elevate its own privileges
Medium IaC: KSV-0012 kustomize/bases/broker/deployment.yaml— Runs as root user One securityContext edit clears this facet's near-duplicate rules together: KSV-0012, KSV-0020, KSV-0021.
Medium IaC: KSV-0013 kustomize/bases/broker/deployment.yaml— Image tag ":latest" used
Medium IaC: KSV-0104 kustomize/bases/broker/deployment.yaml— Seccomp policies disabled One securityContext edit clears this facet's near-duplicate rules together: KSV-0030, KSV-0104.
Medium IaC: KSV-0125 kustomize/bases/broker/deployment.yaml— Restrict container images to trusted registries
Medium IaC: KSV-0001 kustomize/bases/consumer/deployment.yaml— Can elevate its own privileges
Medium IaC: KSV-0012 kustomize/bases/consumer/deployment.yaml— Runs as root user One securityContext edit clears this facet's near-duplicate rules together: KSV-0012, KSV-0020, KSV-0021.
Medium IaC: KSV-0013 kustomize/bases/consumer/deployment.yaml— Image tag ":latest" used
Medium IaC: KSV-0104 kustomize/bases/consumer/deployment.yaml— Seccomp policies disabled One securityContext edit clears this facet's near-duplicate rules together: KSV-0030, KSV-0104.
Medium IaC: KSV-0125 kustomize/bases/consumer/deployment.yaml— Restrict container images to trusted registries
Medium IaC: KSV-0001 kustomize/bases/etcd/statefulset.yaml— Can elevate its own privileges
Medium IaC: KSV-0012 kustomize/bases/etcd/statefulset.yaml— Runs as root user One securityContext edit clears this facet's near-duplicate rules together: KSV-0012, KSV-0020, KSV-0021.
Medium IaC: KSV-0104 kustomize/bases/etcd/statefulset.yaml— Seccomp policies disabled One securityContext edit clears this facet's near-duplicate rules together: KSV-0030, KSV-0104.
Medium IaC: KSV-0125 kustomize/bases/etcd/statefulset.yaml— Restrict container images to trusted registries
Medium IaC: KSV-0001 kustomize/bases/example-bike-share/patches.yaml— Can elevate its own privileges
Medium IaC: KSV-0012 kustomize/bases/example-bike-share/patches.yaml— Runs as root user One securityContext edit clears this facet's near-duplicate rules together: KSV-0012, KSV-0020, KSV-0021.
Medium IaC: KSV-0104 kustomize/bases/example-bike-share/patches.yaml— Seccomp policies disabled One securityContext edit clears this facet's near-duplicate rules together: KSV-0030, KSV-0104.
Medium IaC: KSV-0001 kustomize/bases/example-bike-share/stream-rides.yaml— Can elevate its own privileges
Medium IaC: KSV-0012 kustomize/bases/example-bike-share/stream-rides.yaml— Runs as root user One securityContext edit clears this facet's near-duplicate rules together: KSV-0012, KSV-0020, KSV-0021.
Medium IaC: KSV-0104 kustomize/bases/example-bike-share/stream-rides.yaml— Seccomp policies disabled One securityContext edit clears this facet's near-duplicate rules together: KSV-0030, KSV-0104.
Medium IaC: KSV-0001 kustomize/bases/example-stream-sum/chunker.yaml— Can elevate its own privileges
Medium IaC: KSV-0012 kustomize/bases/example-stream-sum/chunker.yaml— Runs as root user One securityContext edit clears this facet's near-duplicate rules together: KSV-0012, KSV-0020, KSV-0021.
Medium IaC: KSV-0013 kustomize/bases/example-stream-sum/chunker.yaml— Image tag ":latest" used
Medium IaC: KSV-0104 kustomize/bases/example-stream-sum/chunker.yaml— Seccomp policies disabled One securityContext edit clears this facet's near-duplicate rules together: KSV-0030, KSV-0104.
Medium IaC: KSV-0125 kustomize/bases/example-stream-sum/chunker.yaml— Restrict container images to trusted registries
Medium: use-of-sha1 broker/append_fsm.go:656— 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. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: use-of-sha1 broker/fragment/spool.go:66— 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. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: use-of-sha1 broker/fragment/spool.go:150— 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. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: use-of-sha1 broker/fragment/spool.go:369— 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. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: use-of-sha1 broker/protocol/fragment_extensions.go:103— 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. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: math-random-used broker/stores/health_check.go:8— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Medium: use-tls examples/stream-sum/chunker/chunker.go:24— Found an HTTP server without TLS. Use 'http.ListenAndServeTLS' instead. See https://golang.org/pkg/net/http/#ListenAndServeTLS for more information. 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.
Medium: allow-privilege-escalation-no-securitycontext kustomize/bases/broker/deployment.yaml:18— In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
Medium: allow-privilege-escalation-no-securitycontext kustomize/bases/consumer/deployment.yaml:18— In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
Medium: allow-privilege-escalation-no-securitycontext kustomize/bases/etcd/statefulset.yaml:20— In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
Medium: allow-privilege-escalation-no-securitycontext kustomize/bases/example-bike-share/stream-rides.yaml:10— In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
Medium: allow-privilege-escalation-no-securitycontext kustomize/bases/example-stream-sum/chunker.yaml:15— In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
Medium: allow-privilege-escalation-no-securitycontext kustomize/bases/example-word-count/publish-docs.yaml:10— In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
Medium: allow-privilege-escalation-no-securitycontext kustomize/bases/minio/create-bucket.yaml:10— In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
Medium: allow-privilege-escalation-no-securitycontext kustomize/bases/minio/deployment.yaml:18— In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
Medium: allow-privilege-escalation-no-securitycontext kustomize/bases/postgres/statefulset.yaml:20— In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
Medium: use-tls mainboilerplate/diagnostics.go:45— Found an HTTP server without TLS. Use 'http.ListenAndServeTLS' instead. See https://golang.org/pkg/net/http/#ListenAndServeTLS for more information. 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.
Medium: math-random-used message/routines.go:8— `math/rand` is not cryptographically secure — its stream is reproducible from its seed and predictable from observed output — so any value that must be unguessable (a token, nonce, key, salt, session id, password-reset or MFA code) has to come from `crypto/rand`. Where non-cryptographic randomness IS the intent — jitter, backoff, sampling, load spreading, simulation, test fixtures, or output that is deliberately reproducible from a seed — `math/rand` is the correct choice and no change is needed; a package that deliberately offers both should keep its security-sensitive callers on the `crypto/rand` path rather than drop the other one. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
D38 · OSV Dependency Vulnerabilities· Medium CVE · ×5
Medium CVE: GO-2022-0635 go.mod— github.com/aws/aws-sdk-go 1.55.8 (github.com/aws/aws-sdk-go/service/s3/s3crypto): GO-2022-0635 — no fixed version has been published yet. Track the advisory, and remove or replace github.com/aws/aws-sdk-go if the exposure is not acceptable until one lands. Before doing either, check whether any affected package above is actually linked here: `go list -deps ./... | grep -F -e github.com/aws/aws-sdk-go/service/s3/s3crypto` lists it whether your own code imports it or a dependency pulls it in — a module can be in the build list for one sub-package while the vulnerable one is never reached, in which case there is nothing to remove and tracking the advisory is the whole action. This one row stands for the 2 advisories this scan raises against github.com/aws/aws-sdk-go 1.55.8: GO-2022-0635, GO-2022-0646.
Medium CVE: GO-2026-5158 go.mod— go.opentelemetry.io/otel 1.43.0 (go.opentelemetry.io/otel/baggage, go.opentelemetry.io/otel/propagation): GO-2026-5158 — go.opentelemetry.io/otel is not a DIRECT requirement of this module: go.mod records it as `// indirect`, pulled in transitively, so raise it in place (run `go get go.opentelemetry.io/otel@v1.44.0`, which updates the require line go.mod already holds for it).
Medium CVE: GO-2026-5942 go.mod— golang.org/x/net 0.55.0 (golang.org/x/net/dns/dnsmessage): GO-2026-5942 — upgrade to 0.56.0
Medium CVE: GO-2026-5970 go.mod— golang.org/x/text 0.37.0 (golang.org/x/text/unicode/norm): GO-2026-5970 — golang.org/x/text is not a DIRECT requirement of this module: go.mod records it as `// indirect`, pulled in transitively, so raise it in place (run `go get golang.org/x/text@v0.39.0`, which updates the require line go.mod already holds for it).
Medium CVE: GO-2025-3955 go.mod— stdlib 1.25.0 (net/http): GO-2025-3955 — fixed in Go 1.25.1; pin a build toolchain at or above it (go.mod `toolchain` directive, or your CI's Go version) — the `go` directive is a minimum language version, not the compiler that builds your binaries. This one row stands for the 39 advisories this scan raises against stdlib 1.25.0: GO-2025-3955, GO-2025-4006, GO-2025-4007, GO-2025-4008, GO-2025-4009, GO-2025-4010, GO-2025-4011, GO-2025-4012, GO-2025-4013, GO-2025-4014, GO-2025-4015, GO-2025-4155, GO-2025-4175, GO-2026-4337, GO-2026-4340, GO-2026-4341, GO-2026-4342, GO-2026-4601, GO-2026-4602, GO-2026-4603, GO-2026-4864, GO-2026-4865, GO-2026-4869, GO-2026-4870, GO-2026-4918, GO-2026-4946, GO-2026-4947, GO-2026-4970, GO-2026-4971, GO-2026-4976, GO-2026-4977, GO-2026-4980, GO-2026-4981, GO-2026-4982, GO-2026-4986, GO-2026-5037, GO-2026-5038, GO-2026-5039, GO-2026-5856.
Duplicated block (10 lines × 2) cmd/gazctl/gazctlcmd/journals_reset_head.go:61— cmd/gazctl/gazctlcmd/journals_reset_head.go:61-70 | cmd/gazctl/gazctlcmd/journals_suspend.go:37-46 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once.
Duplicated block (10 lines × 2) consumer/protocol/auth.go:23— consumer/protocol/auth.go:23-32 | consumer/protocol/auth.go:67-76 — 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 `consumer/protocol/auth.go:23` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10 lines × 2) broker/list_apply_api.go:225— broker/list_apply_api.go:225-234 | consumer/shard_api.go:113-122 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `broker/list_apply_api.go:225` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (10 lines × 2) broker/list_apply_api.go:244— broker/list_apply_api.go:244-254 | consumer/shard_api.go:140-149 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `broker/list_apply_api.go:244` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (6 lines × 2) allocator/alloc_state.go:148— allocator/alloc_state.go:148-153 | allocator/allocator.go:156-161 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `allocator/alloc_state.go:148` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (6 lines × 2) broker/client/list.go:228— broker/client/list.go:228-233 | consumer/shard_api.go:377-382 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `broker/client/list.go:228` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (6 lines × 2) broker/stores/azure/account.go:79— broker/stores/azure/account.go:79-84 | broker/stores/azure/ad.go:135-140 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `broker/stores/azure/account.go:79` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
D38 · OSV Dependency Vulnerabilities· Medium vulnerability · ×2
Medium vulnerability: GO-2026-5841 go.mod— github.com/klauspost/compress 1.18.0 (github.com/klauspost/compress/s2): GO-2026-5841 — upgrade to 1.18.7
Medium vulnerability: GO-2026-5932 go.mod— golang.org/x/crypto 0.52.0 (golang.org/x/crypto/openpgp, golang.org/x/crypto/openpgp/packet, golang.org/x/crypto/openpgp/armor, +4 more): GO-2026-5932 — no fixed version has been published yet. Track the advisory; golang.org/x/crypto is not a DIRECT requirement of this module: go.mod records it as `// indirect`, pulled in transitively, so the action is on the dependency that requires it — upgrade or replace that dependent. Before doing either, check whether any affected package above is actually linked here: `go list -deps ./... | grep -F -e golang.org/x/crypto/openpgp` lists it whether your own code imports it or a dependency pulls it in — a module can be in the build list for one sub-package while the vulnerable one is never reached, in which case there is nothing to remove and tracking the advisory is the whole action.
Duplicated block (9 lines × 3) broker/protocol/label_extensions.go:179— broker/protocol/label_extensions.go:179-187 | broker/protocol/label_extensions.go:200-208 | broker/protocol/label_extensions.go:219-227 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `broker/protocol/label_extensions.go:179` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 3) consumer/shard_api.go:280— consumer/shard_api.go:280-288 | consumer/shard_api.go:294-302 | consumer/shard_api.go:395-403 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `consumer/shard_api.go:280` 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.
recoverylog.playLog (cyclomatic 49) consumer/recoverylog/playback.go:228— recoverylog.playLog has cyclomatic complexity 49 (threshold 15). Of this number, 45 points are the body's own statements and 4 belong to 2 function literals inside it that branch. 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.
appendFSM.onValidatePreconditions (cyclomatic 38) broker/append_fsm.go:411— appendFSM.onValidatePreconditions has cyclomatic complexity 38 (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.
Resolver.Resolve (cyclomatic 36) consumer/resolver.go:101— Resolver.Resolve has cyclomatic complexity 36 (threshold 15). Of this number, 35 points are the body's own statements and 1 belongs to one function literal inside it that branches. 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.
Reader.Read (cyclomatic 35) broker/client/reader.go:64— Reader.Read has cyclomatic complexity 35 (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.
MaxFlow.discharge (cyclomatic 32) allocator/sparse_push_relabel/push_relabel.go:189— MaxFlow.discharge has cyclomatic complexity 32 (threshold 15). Of this number, 31 points are the body's own statements and 1 belongs to one function literal inside it that branches. 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.
recoverylog.reduceSegment (cyclomatic 32) consumer/recoverylog/segment.go:116— recoverylog.reduceSegment has cyclomatic complexity 32 (threshold 15). To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.
appendFSM.onStreamContent (cyclomatic 30) broker/append_fsm.go:631— appendFSM.onStreamContent has cyclomatic complexity 30 (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.
resolver.resolve (cyclomatic 28) broker/resolver.go:89— resolver.resolve has cyclomatic complexity 28 (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.
broker.serveRead (cyclomatic 24) broker/read_api.go:112— broker.serveRead has cyclomatic complexity 24 (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.
Sequencer.QueueUncommitted (cyclomatic 24) message/sequencer.go:158— Sequencer.QueueUncommitted has cyclomatic complexity 24 (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.
RetryReader.Read (cyclomatic 20) broker/client/retry_reader.go:64— RetryReader.Read has cyclomatic complexity 20 (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.
cmdJournalAppend.Execute (cyclomatic 20) cmd/gazctl/gazctlcmd/journals_append.go:88— cmdJournalAppend.Execute has cyclomatic complexity 20 (threshold 15). Of this number, 18 points are the body's own statements and 2 belong to one function literal inside it that branches. 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.
KeySpace.Watch (cyclomatic 20) keyspace/key_space.go:131— KeySpace.Watch has cyclomatic complexity 20 (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.
Index.Query (cyclomatic 18) broker/fragment/index.go:41— Index.Query has cyclomatic complexity 18 (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.
Spool.applyCommit (cyclomatic 18) broker/fragment/spool.go:111— Spool.applyCommit has cyclomatic complexity 18 (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.
cmdShardsPrune.Execute (cyclomatic 18) cmd/gazctl/gazctlcmd/shards_prune.go:45— cmdShardsPrune.Execute has cyclomatic complexity 18 (threshold 15). Of this number, 15 points are the body's own statements and 3 belong to one function literal inside it that branches. 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.
State.observe (cyclomatic 17) allocator/alloc_state.go:85— State.observe 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.
fragment.Persist (cyclomatic 17) broker/fragment/stores.go:38— fragment.Persist 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.
FSM.Apply (cyclomatic 17) consumer/recoverylog/fsm.go:173— FSM.Apply has cyclomatic complexity 17 (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.
Sequencer.Step (cyclomatic 17) message/sequencer.go:344— Sequencer.Step 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.
broker.pulseDaemon (cyclomatic 16) broker/replica.go:108— broker.pulseDaemon has cyclomatic complexity 16 (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.
CoverSet.Add (cyclomatic 16) broker/fragment/cover_set.go:36— CoverSet.Add has cyclomatic complexity 16 (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.
protocol.matchSelector (cyclomatic 16) broker/protocol/label_extensions.go:318— protocol.matchSelector has cyclomatic complexity 16 (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.
Service.List (cyclomatic 16) broker/list_apply_api.go:21— Service.List has cyclomatic complexity 16 (threshold 15). Of this number, 14 points are the body's own statements and 2 belong to one function literal inside it that branches. 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.
stores.runCheck (cyclomatic 16) broker/stores/health_check.go:107— stores.runCheck has cyclomatic complexity 16 (threshold 15). Of this number, 15 points are the body's own statements and 1 belongs to one function literal inside it that branches. 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.
cmdJournalsList.outputTable (cyclomatic 16) cmd/gazctl/gazctlcmd/journals_list.go:92— cmdJournalsList.outputTable has cyclomatic complexity 16 (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.
cmdShardsList.outputTable (cyclomatic 16) cmd/gazctl/gazctlcmd/shards_list.go:69— cmdShardsList.outputTable has cyclomatic complexity 16 (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.
consumer.txnStep (cyclomatic 16) consumer/transaction.go:170— consumer.txnStep has cyclomatic complexity 16 (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.
recoverylog.makeLive (cyclomatic 16) consumer/recoverylog/playback.go:701— recoverylog.makeLive has cyclomatic complexity 16 (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.
Application.ServeBikeHistory (cyclomatic 16) examples/bike-share/api.go:26— Application.ServeBikeHistory has cyclomatic complexity 16 (threshold 15). Of this number, 15 points are the body's own statements and 1 belongs to one function literal inside it that branches. 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.
server.New (cyclomatic 16) server/server.go:54— server.New has cyclomatic complexity 16 (threshold 15). Of this number, 15 points are the body's own statements and 1 belongs to one function literal inside it that branches. 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.
Hotspot: cmd/gazctl/gazctlcmd/shards_prune.go cmd/gazctl/gazctlcmd/shards_prune.go— cmd/gazctl/gazctlcmd/shards_prune.go changed 2 times in last 90 days, max complexity 18. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, behind tests written first.
LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.findings[1].issue | LineNumber: 0 | BytePositionInLine: 1117.
recoverylog.playLog (cognitive 88) consumer/recoverylog/playback.go:228— recoverylog.playLog has cognitive complexity 88 (threshold 15). Drivers by points: if/else 70, match/switch 10, boolean chains 4, loops 4 (nesting depth added 43). Of this number, 84 points are the body's own statements and 4 belong to 2 function literals inside it that branch. 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.
MaxFlow.discharge (cognitive 66) allocator/sparse_push_relabel/push_relabel.go:189— MaxFlow.discharge has cognitive complexity 66 (threshold 15). Drivers by points: if/else 52, loops 7, jumps 4, boolean chains 3 (nesting depth added 29). Of this number, 65 points are the body's own statements and 1 belongs to one function literal inside it that branches. 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.
Resolver.Resolve (cognitive 63) consumer/resolver.go:101— Resolver.Resolve has cognitive complexity 63 (threshold 15). Drivers by points: if/else 45, loops 8, match/switch 8, boolean chains 2 (nesting depth added 29). Of this number, 62 points are the body's own statements and 1 belongs to one function literal inside it that branches. 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.
Reader.Read (cognitive 51) broker/client/reader.go:64— Reader.Read has cognitive complexity 51 (threshold 15). Drivers by points: if/else 47, boolean chains 3, match/switch 1 (nesting depth added 20). 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.
resolver.resolve (cognitive 40) broker/resolver.go:89— resolver.resolve has cognitive complexity 40 (threshold 15). Drivers by points: if/else 33, boolean chains 5, loops 2 (nesting depth added 9). 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.
cmdShardsPrune.Execute (cognitive 40) cmd/gazctl/gazctlcmd/shards_prune.go:45— cmdShardsPrune.Execute has cognitive complexity 40 (threshold 15). Drivers by points: if/else 33, loops 6, boolean chains 1 (nesting depth added 22). Of this number, 30 points are the body's own statements and 10 belong to one function literal inside it that branches. 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.
appendFSM.onValidatePreconditions (cognitive 39) broker/append_fsm.go:411— appendFSM.onValidatePreconditions has cognitive complexity 39 (threshold 15). Drivers by points: if/else 26, boolean chains 9, match/switch 3, loops 1 (nesting depth added 9). 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.
broker.serveRead (cognitive 38) broker/read_api.go:112— broker.serveRead has cognitive complexity 38 (threshold 15). Drivers by points: if/else 30, boolean chains 5, loops 3 (nesting depth added 16). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
stream_sum.verify (cognitive 38) examples/stream-sum/stream_sum.go:389— stream_sum.verify has cognitive complexity 38 (threshold 15). Drivers by points: if/else 26, match/switch 6, loops 4, boolean chains 2 (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.
KeySpace.Watch (cognitive 35) keyspace/key_space.go:131— KeySpace.Watch has cognitive complexity 35 (threshold 15). Drivers by points: if/else 22, match/switch 10, boolean chains 2, loops 1 (nesting depth added 18). 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.
appendFSM.onStreamContent (cognitive 34) broker/append_fsm.go:631— appendFSM.onStreamContent has cognitive complexity 34 (threshold 15). Drivers by points: if/else 24, boolean chains 10 (nesting depth added 6). 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.
cmdJournalsList.outputTable (cognitive 31) cmd/gazctl/gazctlcmd/journals_list.go:92— cmdJournalsList.outputTable has cognitive complexity 31 (threshold 15). Drivers by points: if/else 26, loops 5 (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.
State.observe (cognitive 29) allocator/alloc_state.go:85— State.observe has cognitive complexity 29 (threshold 15). Drivers by points: if/else 22, loops 5, boolean chains 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.
allocator.Allocate (cognitive 29) allocator/allocator.go:39— allocator.Allocate has cognitive complexity 29 (threshold 15). Drivers by points: if/else 28, loops 1 (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.
cmdShardsList.outputTable (cognitive 29) cmd/gazctl/gazctlcmd/shards_list.go:69— cmdShardsList.outputTable has cognitive complexity 29 (threshold 15). Drivers by points: if/else 23, loops 6 (nesting depth added 12). 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.
Spool.compressThrough (cognitive 28) broker/fragment/spool.go:240— Spool.compressThrough has cognitive complexity 28 (threshold 15). Drivers by points: if/else 27, loops 1 (nesting depth added 14). 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.
pipeline.gatherSync (cognitive 27) broker/pipeline.go:157— pipeline.gatherSync has cognitive complexity 27 (threshold 15). Drivers by points: if/else 18, match/switch 5, boolean chains 3, loops 1 (nesting depth added 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
editor.EditRetryLoop (cognitive 27) cmd/gazctl/gazctlcmd/editor/editor.go:45— editor.EditRetryLoop has cognitive complexity 27 (threshold 15). Drivers by points: if/else 25, boolean chains 1, loops 1 (nesting depth added 12). Of this number, 25 points are the body's own statements and 2 belong to one function literal inside it that branches. 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.
resolver.updateResolutions (cognitive 26) broker/resolver.go:228— resolver.updateResolutions has cognitive complexity 26 (threshold 15). Drivers by points: if/else 16, loops 7, boolean chains 3 (nesting depth added 12). 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.
cmdShardsUnassign.Execute (cognitive 26) cmd/gazctl/gazctlcmd/shards_unassign.go:31— cmdShardsUnassign.Execute has cognitive complexity 26 (threshold 15). Drivers by points: if/else 16, loops 9, boolean chains 1 (nesting depth added 12). 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.
KeySpace.Load (cognitive 26) keyspace/key_space.go:78— KeySpace.Load has cognitive complexity 26 (threshold 15). Drivers by points: if/else 18, loops 5, match/switch 2, 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.
Sequencer.QueueUncommitted (cognitive 26) message/sequencer.go:158— Sequencer.QueueUncommitted has cognitive complexity 26 (threshold 15). Drivers by points: if/else 24, match/switch 2 (nesting depth added 5). 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.
fragment.Persist (cognitive 25) broker/fragment/stores.go:38— fragment.Persist has cognitive complexity 25 (threshold 15). Drivers by points: if/else 22, boolean chains 2, loops 1 (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Service.List (cognitive 25) broker/list_apply_api.go:21— Service.List has cognitive complexity 25 (threshold 15). Drivers by points: if/else 18, loops 7 (nesting depth added 10). Of this number, 22 points are the body's own statements and 3 belong to one function literal inside it that branches. 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.
consumer.ShardApply (cognitive 23) consumer/shard_api.go:104— consumer.ShardApply has cognitive complexity 23 (threshold 15). Drivers by points: if/else 22, loops 1 (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
RetryReader.Read (cognitive 22) broker/client/retry_reader.go:64— RetryReader.Read has cognitive complexity 22 (threshold 15). Drivers by points: if/else 15, match/switch 4, boolean chains 2, loops 1 (nesting depth added 9). 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.
Spool.applyCommit (cognitive 22) broker/fragment/spool.go:111— Spool.applyCommit has cognitive complexity 22 (threshold 15). Drivers by points: if/else 15, boolean chains 7 (nesting depth added 6). 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.
Sequencer.Step (cognitive 22) message/sequencer.go:344— Sequencer.Step has cognitive complexity 22 (threshold 15). Drivers by points: if/else 19, boolean chains 2, loops 1 (nesting depth added 6). 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.
Index.Query (cognitive 21) broker/fragment/index.go:41— Index.Query has cognitive complexity 21 (threshold 15). Drivers by points: if/else 14, boolean chains 4, match/switch 2, loops 1 (nesting depth added 7). 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.
cmdJournalAppend.Execute (cognitive 21) cmd/gazctl/gazctlcmd/journals_append.go:88— cmdJournalAppend.Execute has cognitive complexity 21 (threshold 15). Drivers by points: if/else 14, boolean chains 4, match/switch 2, loops 1 (nesting depth added 4). Of this number, 18 points are the body's own statements and 3 belong to one function literal inside it that branches. 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.
recoverylog.makeLive (cognitive 21) consumer/recoverylog/playback.go:701— recoverylog.makeLive has cognitive complexity 21 (threshold 15). Drivers by points: if/else 17, loops 4 (nesting depth added 5). 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.
server.New (cognitive 21) server/server.go:54— server.New has cognitive complexity 21 (threshold 15). Drivers by points: if/else 20, boolean chains 1 (nesting depth added 3). Of this number, 20 points are the body's own statements and 1 belongs to one function literal inside it that branches. 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.
consumer.fetchHints (cognitive 20) consumer/recovery.go:33— consumer.fetchHints has cognitive complexity 20 (threshold 15). Drivers by points: if/else 18, loops 2 (nesting depth added 8). 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.
consumer.completeRecovery (cognitive 20) consumer/recovery.go:242— consumer.completeRecovery has cognitive complexity 20 (threshold 15). Drivers by points: if/else 11, match/switch 5, loops 3, boolean chains 1 (nesting depth added 8). 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.
consumer.ShardUnassign (cognitive 20) consumer/shard_api.go:214— consumer.ShardUnassign has cognitive complexity 20 (threshold 15). Drivers by points: if/else 15, loops 3, boolean chains 2 (nesting depth added 6). 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.
recoverylog.reduceSegment (cognitive 20) consumer/recoverylog/segment.go:116— recoverylog.reduceSegment has cognitive complexity 20 (threshold 15). Drivers by points: boolean chains 12, if/else 7, match/switch 1 (nesting depth added 3). To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.
broker.pulseDaemon (cognitive 19) broker/replica.go:108— broker.pulseDaemon has cognitive complexity 19 (threshold 15). Drivers by points: if/else 14, boolean chains 2, match/switch 2, loops 1 (nesting depth added 5). 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.
client.ReadListResponse (cognitive 19) broker/client/list.go:148— client.ReadListResponse has cognitive complexity 19 (threshold 15). Drivers by points: if/else 17, boolean chains 1, loops 1 (nesting depth added 5). 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.
WatchedList.watch (cognitive 19) broker/client/list.go:77— WatchedList.watch has cognitive complexity 19 (threshold 15). Drivers by points: if/else 13, match/switch 5, loops 1 (nesting depth added 10). 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.
CoverSet.Add (cognitive 19) broker/fragment/cover_set.go:36— CoverSet.Add has cognitive complexity 19 (threshold 15). Drivers by points: if/else 12, boolean chains 5, loops 2 (nesting depth added 3). 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.
protocol.matchSelector (cognitive 19) broker/protocol/label_extensions.go:318— protocol.matchSelector has cognitive complexity 19 (threshold 15). Drivers by points: if/else 10, boolean chains 6, loops 3 (nesting depth added 5). 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.
Service.Apply (cognitive 19) broker/list_apply_api.go:204— Service.Apply has cognitive complexity 19 (threshold 15). Drivers by points: if/else 18, loops 1 (nesting depth added 7). Of this number, 16 points are the body's own statements and 3 belong to one function literal inside it that branches. 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.
keyspace.updateKeyValuesTail (cognitive 19) keyspace/key_values.go:103— keyspace.updateKeyValuesTail has cognitive complexity 19 (threshold 15). Drivers by points: if/else 19 (nesting depth added 3). 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.
client.Append (cognitive 18) broker/client/appender.go:186— client.Append has cognitive complexity 18 (threshold 15). Drivers by points: if/else 10, boolean chains 3, loops 3, match/switch 2 (nesting depth added 5). 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.
cmdAttachUUIDs.Execute (cognitive 18) cmd/gazctl/gazctlcmd/attach_uuids.go:68— cmdAttachUUIDs.Execute has cognitive complexity 18 (threshold 15). Drivers by points: if/else 13, loops 5 (nesting depth added 7). Of this number, 17 points are the body's own statements and 1 belongs to one function literal inside it that branches. 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.
consumer.servePrimary (cognitive 18) consumer/shard.go:218— consumer.servePrimary has cognitive complexity 18 (threshold 15). Drivers by points: if/else 16, boolean chains 1, loops 1 (nesting depth added 6). Of this number, 14 points are the body's own statements and 4 belong to one function literal inside it that branches. 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.
dispatcher.Pick (cognitive 17) broker/protocol/dispatcher.go:184— dispatcher.Pick has cognitive complexity 17 (threshold 15). Drivers by points: if/else 14, loops 2, match/switch 1 (nesting depth added 6). 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.
consumer.txnStep (cognitive 17) consumer/transaction.go:170— consumer.txnStep has cognitive complexity 17 (threshold 15). Drivers by points: if/else 9, match/switch 6, boolean chains 2 (nesting depth added 4). To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. 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.
FSM.Apply (cognitive 17) consumer/recoverylog/fsm.go:173— FSM.Apply has cognitive complexity 17 (threshold 15). Drivers by points: if/else 13, boolean chains 4 (nesting depth added 1). To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. 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.
MaxFlow.addFlow (cognitive 16) allocator/sparse_push_relabel/push_relabel.go:419— MaxFlow.addFlow has cognitive complexity 16 (threshold 15). Drivers by points: if/else 16 (nesting depth added 4). 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.
Service.Append (cognitive 16) broker/append_api.go:16— Service.Append has cognitive complexity 16 (threshold 15). Drivers by points: if/else 15, match/switch 1 (nesting depth added 7). Of this number, 13 points are the body's own statements and 3 belong to one function literal inside it that branches. 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.
Broker.Replicate (cognitive 16) broker/teststub/broker.go:78— Broker.Replicate has cognitive complexity 16 (threshold 15). Drivers by points: match/switch 8, if/else 6, loops 2 (nesting depth added 8). Most of this is not in the body itself: 3 of the 16 points are its own statements and the rest belongs to one function literal inside it that branches (line 81). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
Broker.Append (cognitive 16) broker/teststub/broker.go:144— Broker.Append has cognitive complexity 16 (threshold 15). Drivers by points: match/switch 8, if/else 6, loops 2 (nesting depth added 8). Most of this is not in the body itself: 3 of the 16 points are its own statements and the rest belongs to one function literal inside it that branches (line 147). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
cmdJournalAppend.process (cognitive 16) cmd/gazctl/gazctlcmd/journals_append.go:190— cmdJournalAppend.process has cognitive complexity 16 (threshold 15). Drivers by points: if/else 15, loops 1 (nesting depth added 7). 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.
consumer.VerifyReferencedJournals (cognitive 16) consumer/shard_api.go:308— consumer.VerifyReferencedJournals has cognitive complexity 16 (threshold 15). Drivers by points: if/else 13, loops 3 (nesting depth added 5). Of this number, 13 points are the body's own statements and 3 belong to one function literal inside it that branches. 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.
consumer.runTransactions (cognitive 16) consumer/transaction.go:22— consumer.runTransactions has cognitive complexity 16 (threshold 15). Drivers by points: if/else 12, loops 2, match/switch 2 (nesting depth added 7). Of this number, 13 points are the body's own statements and 3 belong to one function literal inside it that branches. 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.
Application.ServeBikeHistory (cognitive 16) examples/bike-share/api.go:26— Application.ServeBikeHistory has cognitive complexity 16 (threshold 15). Drivers by points: if/else 14, loops 1, match/switch 1 (nesting depth added 1). Of this number, 15 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. 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.
Counter.Publish (cognitive 16) examples/word-count/word_count.go:158— Counter.Publish has cognitive complexity 16 (threshold 15). Drivers by points: if/else 11, loops 5 (nesting depth added 6). 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.
message.UnpackFixedFrame (cognitive 16) message/fixed_framing.go:32— message.UnpackFixedFrame has cognitive complexity 16 (threshold 15). Drivers by points: if/else 12, boolean chains 2, loops 2 (nesting depth added 5). 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.
Change coupling: doc.go ↔ stores.go broker/fragment/doc.go— `broker/fragment/doc.go` and `broker/fragment/stores.go` change together 50% of the time (5 of the 10 commits that touched the less-changed of the two, renames followed). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking.
Unpinned build actions — CI references GitHub Actions by a floating ref (@main / @tag) rather than a pinned commit SHA, weakening build integrity. 6 floating ref(s) across 1 workflow file(s). Each floating ref is itemized at file:line by the SAST (D29) lens.
Workflow token permissions not restricted — No workflow declares a `permissions:` block, so every job runs with the repository's default GITHUB_TOKEN scope (1 workflow file(s) checked). On a repository whose default is read/write, a compromised action or a malicious pull request inherits write access to code, issues, releases and packages. Declare a least-privilege `permissions:` block — `permissions: {contents: read}` at the top of each workflow, widened per job only where a job genuinely writes.
Duplicated block (15 lines × 2) broker/teststub/broker.go:92— broker/teststub/broker.go:92-106 | broker/teststub/broker.go:158-172 — 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 `broker/teststub/broker.go:92` 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 (12 lines × 2) mainboilerplate/client.go:64— mainboilerplate/client.go:64-75 | mainboilerplate/client.go:88-99 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (11 lines × 2) broker/protocol/auth.go:100— broker/protocol/auth.go:100-110 | broker/protocol/auth.go:144-154 — 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 `broker/protocol/auth.go:100` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 4) broker/stores/azure/common.go:155— broker/stores/azure/common.go:155-163 | broker/stores/fs/store.go:141-149 | broker/stores/gcs/store.go:184-192 | broker/stores/s3/store.go:244-252 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere all 4 call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made 4 times. Read the line range as the matched WINDOW rather than a finished unit: at `broker/stores/azure/common.go:155` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (8 lines × 4) broker/fragment_store_health_api.go:19— broker/fragment_store_health_api.go:19-26 | broker/fragments_api.go:21-28 | broker/list_apply_api.go:207-214 | broker/replicate_api.go:23-30 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `broker/fragment_store_health_api.go:19` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also register a scope-exit action (a `defer`-style statement) that runs when the function holding them returns: moved into a called unit it would run when THAT unit returns instead — before the caller uses what it releases — so keep the registration at the call site and extract only the work around it, or have the extracted unit hand the resource back for the caller to register.
Duplicated block (8 lines × 2) broker/replica.go:246— broker/replica.go:246-257 | broker/replica.go:284-291 — 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 `broker/replica.go:246` 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 (7 lines × 3) broker/append_api.go:23— broker/append_api.go:23-29 | broker/read_api.go:21-27 | broker/list_apply_api.go:24-30 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `broker/append_api.go:23` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also register a scope-exit action (a `defer`-style statement) that runs when the function holding them returns: moved into a called unit it would run when THAT unit returns instead — before the caller uses what it releases — so keep the registration at the call site and extract only the work around it, or have the extracted unit hand the resource back for the caller to register.
Duplicated block (7 lines × 2) broker/list_apply_api.go:266— broker/list_apply_api.go:266-272 | consumer/shard_api.go:161-167 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `broker/list_apply_api.go:266` 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 (5 lines × 2) broker/client/append_service_win.go:31— broker/client/append_service_win.go:31-35 | broker/fragment/spool_win.go:26-30 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `broker/client/append_service_win.go:31` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Low: missing-ssl-minversion broker/client/reader.go:419— `MinVersion` is missing from this TLS configuration. By default, as of Go 1.22, TLS 1.2 is currently used as the minimum. Set `MinVersion` EXPLICITLY so the floor is a decision in your code rather than whatever the toolchain currently defaults to. Which version depends on who the peer is: for a server, or for a client that talks only to endpoints you control, `tls.VersionTLS13`; for a client that must reach third-party servers (a package registry, a webhook target, an on-prem service), `tls.VersionTLS12` — pinning 1.3 there refuses to connect to peers that still terminate at 1.2. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Low: use-of-unsafe-block consumer/store-rocksdb/arena_iterator.go:88— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site reinterprets a memory region as another type. The conversion itself is checked by nothing, so it is correct only while the region is at least as large as the target type and correctly aligned for it — assert that before the conversion wherever the length or the offset comes from data this process did not produce.
Low: use-of-unsafe-block consumer/store-rocksdb/arena_iterator.go:141— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site reinterprets a memory region as another type. The conversion itself is checked by nothing, so it is correct only while the region is at least as large as the target type and correctly aligned for it — assert that before the conversion wherever the length or the offset comes from data this process did not produce.
Low: use-of-unsafe-block consumer/store-rocksdb/arena_iterator.go:155— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site uses only the compile-time size/layout operators (`unsafe.Sizeof`/`Alignof`/`Offsetof`). They evaluate to a constant and dereference nothing, so this row records that the package is imported here, not that memory is being handled unsafely.
Low: use-of-unsafe-block consumer/store-rocksdb/arena_iterator.go:156— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site uses only the compile-time size/layout operators (`unsafe.Sizeof`/`Alignof`/`Offsetof`). They evaluate to a constant and dereference nothing, so this row records that the package is imported here, not that memory is being handled unsafely.
Low: use-of-unsafe-block consumer/store-rocksdb/hooked_env.go:61— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site reinterprets a memory region as another type. The conversion itself is checked by nothing, so it is correct only while the region is at least as large as the target type and correctly aligned for it — assert that before the conversion wherever the length or the offset comes from data this process did not produce.
Low: use-of-unsafe-block consumer/store-rocksdb/hooked_env.go:110— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site reinterprets a memory region as another type. The conversion itself is checked by nothing, so it is correct only while the region is at least as large as the target type and correctly aligned for it — assert that before the conversion wherever the length or the offset comes from data this process did not produce.
Low: use-of-unsafe-block consumer/store-rocksdb/hooked_env.go:111— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site converts an `unsafe.Pointer` to `uintptr` but does no arithmetic on the result. That is the form Go's `unsafe.Pointer` rules permit for handing an address to a system or foreign call, and it is valid provided the conversion stays inside the call expression rather than being stored in a variable first — which is what `go vet`'s `unsafeptr` pass checks. Keep that pass on the package so a later edit that lifts the `uintptr` into a local, or starts doing arithmetic on it, is caught.
Low: use-of-unsafe-block consumer/store-rocksdb/hooked_env.go:183— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site uses only the compile-time size/layout operators (`unsafe.Sizeof`/`Alignof`/`Offsetof`). They evaluate to a constant and dereference nothing, so this row records that the package is imported here, not that memory is being handled unsafely.
Low: use-of-unsafe-block consumer/store-rocksdb/hooked_env.go:184— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site uses only the compile-time size/layout operators (`unsafe.Sizeof`/`Alignof`/`Offsetof`). They evaluate to a constant and dereference nothing, so this row records that the package is imported here, not that memory is being handled unsafely.
Low: use-of-unsafe-block consumer/store-sqlite/store.go:159— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site converts an `unsafe.Pointer` to `uintptr` but does no arithmetic on the result. That is the form Go's `unsafe.Pointer` rules permit for handing an address to a system or foreign call, and it is valid provided the conversion stays inside the call expression rather than being stored in a variable first — which is what `go vet`'s `unsafeptr` pass checks. Keep that pass on the package so a later edit that lifts the `uintptr` into a local, or starts doing arithmetic on it, is caught.
Low: use-of-unsafe-block consumer/store-sqlite/store.go:431— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site reinterprets a memory region as another type. The conversion itself is checked by nothing, so it is correct only while the region is at least as large as the target type and correctly aligned for it — assert that before the conversion wherever the length or the offset comes from data this process did not produce.
Low: use-of-unsafe-block consumer/store-sqlite/store.go:432— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site reinterprets a memory region as another type. The conversion itself is checked by nothing, so it is correct only while the region is at least as large as the target type and correctly aligned for it — assert that before the conversion wherever the length or the offset comes from data this process did not produce.
Low: use-of-unsafe-block consumer/store-sqlite/store.go:454— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site converts an `unsafe.Pointer` to `uintptr` but does no arithmetic on the result. That is the form Go's `unsafe.Pointer` rules permit for handing an address to a system or foreign call, and it is valid provided the conversion stays inside the call expression rather than being stored in a variable first — which is what `go vet`'s `unsafeptr` pass checks. Keep that pass on the package so a later edit that lifts the `uintptr` into a local, or starts doing arithmetic on it, is caught.
Low: use-of-unsafe-block consumer/store-sqlite/store.go:473— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site reinterprets a memory region as another type. The conversion itself is checked by nothing, so it is correct only while the region is at least as large as the target type and correctly aligned for it — assert that before the conversion wherever the length or the offset comes from data this process did not produce.
Low: use-of-unsafe-block consumer/store-sqlite/store.go:528— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site converts an `unsafe.Pointer` to `uintptr` but does no arithmetic on the result. That is the form Go's `unsafe.Pointer` rules permit for handing an address to a system or foreign call, and it is valid provided the conversion stays inside the call expression rather than being stored in a variable first — which is what `go vet`'s `unsafeptr` pass checks. Keep that pass on the package so a later edit that lifts the `uintptr` into a local, or starts doing arithmetic on it, is caught.
Low: use-of-unsafe-block consumer/store-sqlite/store.go:566— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site uses only the compile-time size/layout operators (`unsafe.Sizeof`/`Alignof`/`Offsetof`). They evaluate to a constant and dereference nothing, so this row records that the package is imported here, not that memory is being handled unsafely.
Low: use-of-unsafe-block consumer/store-sqlite/store.go:567— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site uses only the compile-time size/layout operators (`unsafe.Sizeof`/`Alignof`/`Offsetof`). They evaluate to a constant and dereference nothing, so this row records that the package is imported here, not that memory is being handled unsafely.
Low: use-of-unsafe-block consumer/store-sqlite/store.go:570— Using the unsafe package in Go gives you low-level memory management and many of the strengths of the C language, but also steps around the type safety of Go and can lead to buffer overflows and possible arbitrary code execution by an attacker. Only use this package if you absolutely know what you're doing. 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. This site uses only the compile-time size/layout operators (`unsafe.Sizeof`/`Alignof`/`Offsetof`). They evaluate to a constant and dereference nothing, so this row records that the package is imported here, not that memory is being handled unsafely.
Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 8 significant file(s) lose their only recent owner: broker/append_fsm.go, consumer/shard_api.go, broker/resolver.go, broker/replica.go, mainboilerplate/runconsumer/run_consumer.go, server/server.go, cmd/gazette/main.go, broker/fragment/index.go. Pair on, review, or document these before any departure.
Off-boarding risk: anonymized user #2 — If anonymized user #2 becomes unavailable, 3 significant file(s) lose their only recent owner: consumer/protocol/shard_spec_extensions.go, broker/protocol/fragment_extensions.go, broker/codecs/codecs.go. Pair on, review, or document these before any departure.
D11 · Test Reliability· Test reliability not included · ×1
Test reliability not included — Test source is present (.go) but the built-in reliability runner does not support this repository's ecosystem, so flakiness couldn't be assessed. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.
D16 · Bus Factor· Further sole-owners (lower concentration) · ×1
Further sole-owners (lower concentration) — 1 other contributor(s) are each the sole owner of a small amount of code below the off-boarding threshold — folded into the bus-factor score and metrics (12 single-owned of 108 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). They are anonymized user #3 (1 file(s)) — spread or document their files in the same way, at lower priority than the named off-boarding risks above.
D34 · Knowledge Freshness· Further orphaned files (smaller) · ×1
Further orphaned files (smaller) — 7 of 114 analysed file(s) have no living knowledge left — their last meaningful change has decayed away, so if one breaks, no one currently understands it (counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first). None is large enough to earn a read-through of its own, so this row stands in for the per-file rows rather than raising one each — largest first: cmd/gazctl/gazctlcmd/editor/editor.go, cmd/gazctl/gazctlcmd/shards_list.go, cmd/gazctl/gazctlcmd/journals_prune.go (and 4 more). Attach the read to the next change that touches one of them: have a second person review that change, and leave behind a short comment or test recording what the file is for, so the knowledge comes back at the cost of a change you were making anyway.
No build provenance — No SLSA provenance generation or build attestation found in CI — nothing binds a released artifact to the build that produced it, so a consumer cannot tell your artifact from a substituted one. On GitHub Actions, `actions/attest-build-provenance` (or slsa-github-generator) emits one from the job's own OIDC identity; elsewhere, run `cosign attest` over the released artifact from the release pipeline and publish the attestation beside it.
No artifact signing — No artifact signing found in CI — sign your released artifacts with whatever your ecosystem ships (`cosign sign` over the image digest your pipeline pushes, so a consumer can `cosign verify` what they pull, cosign/sigstore for container images) so consumers can verify what you built.
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-gomod` over the module graph — or Go's own build info, which already records the module set in the binary, `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.
D40 · Network Egress Confinement· No network policy · ×1
No network policy — No Kubernetes NetworkPolicy (or Cilium policy) found. Without one, every pod can talk to every other pod and reach out to the internet by default. Add a default-deny policy and open only the flows you need.
No seccomp profile — Workloads do not set a seccomp profile (RuntimeDefault or a Localhost profile). Seccomp blocks the syscalls a container never needs, shrinking the kernel attack surface a container escape would use.
No AppArmor/SELinux confinement — Workloads declare no AppArmor or SELinux profile. A mandatory-access-control profile confines what a compromised container can touch on the host, complementing seccomp's syscall filter.
Coverage not included — suite not readable by the collector — Coverage NOT MEASURED: test source is present (.go) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (`go test -coverprofile=coverage.out ./...`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored.
Info — 2 finding(s)
D12 · Dependency Hygiene· Dependency hygiene not measured · ×1
Dependency hygiene not measured — dependency manifest found but not parsed for hygiene — This repository's dependency manifests (a Go module (go.mod/go.sum) and a Python pyproject.toml/requirements.txt (pip/uv/Poetry)) were found, but this pass cannot parse them 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.
trivy: 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.
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
runtime-hardening: not applicable — The repository ships application workloads but no cluster-governance resources (CRDs, admission webhooks, or a committed policy engine). Runtime threat-detection (Falco/Tetragon) and admission control (Kyverno/OPA-Gatekeeper/PodSecurity) are cluster-OPERATOR controls owned by the platform, not shipped by an application repo/chart — nothing for this repo to assess.
0
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Run 019fc942-604a-7ebb-8a53-aedcf4fe8687 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 20 · Warnings: 175 · Recommendations: 31 · Info: 2 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 03-08-2026 @ 20:13 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.