Agent skill

ce-code-quality-auditor

Audit source and tests for ADR-030 anti-patterns, determinism failures, API-boundary violations, and test-helper leakage with Option A/B/C handling from the Test Quality Method.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/ce-code-quality-auditor

SKILL.md

CE Code Quality Auditor

This skill combines the Code Quality Auditor and Anti-Pattern Auditor roles from ADR-030.

Required references

  • docs/improvement/test-quality-method/README.md (canonical method + options)
  • docs/improvement/test-quality-method/code_quality_auditor.md (code-quality prompt)
  • docs/improvement/test-quality-method/anti_pattern_auditor.md (anti-pattern prompt)

Use this skill when

  • Reviewing overall source/test quality before cleanup.
  • Producing a findings-first anti-pattern report.
  • Prioritizing quality issues by risk and blocker level.

Focus option handling

  • Option A (Test-Focused): prioritize test anti-pattern analysis; run source-quality checks only when they explain test failures.
  • Option B (Code-Focused): run the full code-quality gate pack and dead/private helper audits.
  • Option C (Full Cycle): run Option A evidence pass and Option B gate pass, then combine results into one ranked proposal.

Core principles

  1. Determinism first: no unsilenced random, time, or network dependencies.
  2. Public-contract tests only: private-member access requires explicit allowlist.
  3. Assertion strength: favor behavioral assertions over shape/type-only checks.
  4. Marker/layer hygiene: test markers and suite placement must match behavior.
  5. No production test-helper exports from src/.

Audit workflow

  1. Confirm the selected focus option (A, B, or C).
  2. Run anti-pattern detection:
bash
python scripts/anti-pattern-analysis/detect_test_anti_patterns.py
python scripts/anti-pattern-analysis/scan_private_usage.py --check
python scripts/quality/check_no_test_helper_exports.py
  1. Run source-quality checks:
bash
python scripts/quality/check_import_graph.py
python scripts/quality/check_docstring_coverage.py
python scripts/anti-pattern-analysis/analyze_private_methods.py
  1. Validate deprecation compliance:
bash
$env:CE_DEPRECATIONS='error'
pytest tests/unit -m "not viz" -q
  1. Classify each finding:
  • Severity: blocker/high/medium/low.
  • Scope: source/test/docs/process.
  • Action: remove/refactor/rewrite/test-add/update-allowlist.

Output contract

Report findings in this order:

  1. Blockers (must-fix now).
  2. High-risk defects.
  3. Medium/low hygiene improvements.

For each finding include:

  • file path + line
  • violated rule/ADR
  • concrete remediation proposal
  • selected focus option (A, B, or C) and why the finding is in-scope

Constraints

  • Analysis and planning focus; do not silently auto-fix large areas.
  • Preserve CE-first boundaries (ADR-001 layering and public API policy).

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