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quality-enforcer

@stharrold/german
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SKILL.md

name quality-enforcer
version 5.0.0
description Enforces quality gates: 80% test coverage, passing tests, successful builds, semantic versioning. Runs before PR creation. Use when: Running tests, checking coverage, validating quality, versioning Triggers: run tests, check coverage, quality gates, version bump

Quality Enforcer

Purpose

Ensures code quality standards are met before integration. Enforces:

  • Test coverage ≥ 80%
  • All tests passing
  • Successful builds
  • Linting clean (ruff)
  • Type checking clean (mypy)
  • Container health (if applicable)

Scripts

check_coverage.py

Runs pytest with coverage and verifies 80% threshold.

python .claude/skills/quality-enforcer/scripts/check_coverage.py [threshold]

Arguments:

  • threshold (optional): Coverage percentage required (default: 80)

Exit codes:

  • 0: Coverage meets threshold
  • 1: Coverage below threshold or error

run_quality_gates.py

Runs all quality gates and reports comprehensive results.

python .claude/skills/quality-enforcer/scripts/run_quality_gates.py

Checks:

  1. Test coverage (≥80%)
  2. All tests passing
  3. Build successful
  4. Linting clean
  5. Type checking clean

Exit codes:

  • 0: All gates passed
  • 1: One or more gates failed

Quality Gates

Gate 1: Test Coverage

Minimum 80% code coverage required.

uv run pytest --cov=src --cov-report=term --cov-fail-under=80

Gate 2: All Tests Passing

All unit and integration tests must pass.

uv run pytest -v

Gate 3: Successful Build

Package must build without errors.

uv build

Gate 4: Linting

Code must pass ruff linting.

uv run ruff check src/ tests/

Gate 5: Type Checking

Code must pass mypy type checking.

uv run mypy src/

Integration with Workflow

The workflow-orchestrator calls this skill before PR creation:

# In workflow orchestrator
if current_phase == 3:  # Quality Assurance
    load_skill('quality-enforcer')

    result = subprocess.run([
        'python',
        '.claude/skills/quality-enforcer/scripts/run_quality_gates.py'
    ])

    if result.returncode != 0:
        print("⚠️  Quality gates failed - fix issues before creating PR")
        return False

    print("✓ All quality gates passed")

Semantic Versioning

Uses git-workflow-manager's semantic_version.py to calculate version bumps.

# Calculate new version
result = subprocess.run([
    'python',
    '.claude/skills/git-workflow-manager/scripts/semantic_version.py',
    'develop',  # base branch
    'v1.0.0'    # current version
], capture_output=True, text=True)

new_version = result.stdout.strip()

Updating TODO with Version

# Update TODO file with new semantic version
import yaml
from pathlib import Path

def update_version_in_todo(todo_file, new_version):
    """Update semantic_version in TODO file YAML frontmatter."""

    content = Path(todo_file).read_text()
    parts = content.split('---', 2)
    frontmatter = yaml.safe_load(parts[1])
    body = parts[2]

    frontmatter['quality_gates']['semantic_version'] = new_version

    new_content = f"---\n{yaml.dump(frontmatter)}---{body}"
    Path(todo_file).write_text(new_content)

Best Practices

  • Run quality gates frequently during development
  • Fix issues immediately - don't accumulate technical debt
  • Aim for >80% coverage, not just exactly 80%
  • Write tests alongside implementation
  • Use type hints consistently
  • Keep linting rules reasonable but enforce them