atft-code-quality

Enforce lint, formatting, typing, testing, and security hygiene across the ATFT-GAT-FAN codebase.

$ Instalar

git clone https://github.com/wer-inc/gogooku3 /tmp/gogooku3 && cp -r /tmp/gogooku3/claude/skills/atft-code-quality ~/.claude/skills/gogooku3

// tip: Run this command in your terminal to install the skill


name: atft-code-quality description: Enforce lint, formatting, typing, testing, and security hygiene across the ATFT-GAT-FAN codebase. proactive: true

ATFT Code Quality Skill

Mission

  • Maintain production-readiness by catching regressions before merge or deployment.
  • Automate formatting, static analysis, and targeted test execution.
  • Surface remediation paths for failing checks with minimal GPU disruption.

Trigger Phrases

  • “Run quality gate”, “lint/format the repo”, “execute tests”, “type check”, “pre-commit”.
  • Requests mentioning Ruff, mypy, pytest, security audit, or dependency hygiene.

Quality Pipeline

  1. Workspace scan
    • git status --short
    • tools/project-health-check.sh --section quality
  2. Formatting & Lint
    • ruff check src/ --fix
    • ruff format src/ tests/
  3. Type Safety
    • mypy src/gogooku3 scripts/
    • pyright if TypeScript integration touched.
  4. Testing Layers
    • pytest tests/unit -n auto -q
    • pytest tests/integration -m "not slow"
    • python test_short_selling.py --strict for risk module.
  5. Security & Secrets
    • pip install bandit safety (once) then bandit -qr src/
    • detect-secrets scan with baseline security/detect-secrets.baseline.
  6. Pre-commit Sweeps
    • pre-commit run --all-files
    • pre-commit run --hook-stage manual conventional-pre-commit.

Specialized Workflows

Fast Feedback (single file change)

  • ruff check src/gogooku3/<module>.py --fix.
  • pytest tests/unit/test_<module>.py -k <case>.
  • mypy src/gogooku3/<module>.py.

GPU-Sensitive Checks

  • For CUDA kernels or Torch compile edits:
    pytest tests/integration/test_gpu_training.py::test_compile_path --maxfail=1.
  • Validate memory usage script: python tools/gpu_memory_report.py --dry-run.

Dependency Hygiene

  • pip-compile requirements.in (if edited).
  • python tools/dependency_audit.py --fail-on-critical.
  • Update lockfiles and note changes in docs/ops/dependency_log.md.

Failure Handling

  • Lint failure → reference Ruff rule from output, fix quickly; prefer ruff --fix-only RULE.
  • Type errors → add precise type hints, update mypy.ini only with justification in docstring.
  • Flaky tests → rerun with pytest -k test_name --lf; mark with @pytest.mark.flaky only when documented in tests/README.md.
  • Security findings → rotate secrets, update .env.example, notify DevSecOps via security/alerts.md.

Codex Collaboration

  • Launch ./tools/codex.sh "Perform deep static audit of src/gogooku3" for architectural refactors or elusive bug hunts.
  • Use codex exec --model gpt-5-codex "Review failing pytest logs and propose fixes" when triaging stubborn CI failures.
  • Reflect Codex recommendations into permanent lint/type rules and note significant changes in quality/last_quality_report.md.

Exit Criteria

  • All commands exit 0.
  • Updated artifacts recorded in quality/last_quality_report.md.
  • Provide summary + next steps in PR description or change log.