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name: testing-quality-standards description: |

Triggers: quality, metrics, test coverage, unit test, standards Cross-plugin testing quality metrics and standards. Referenced by pensive:test-review and parseltongue:python-testing.

Triggers: testing standards, quality metrics, coverage thresholds, anti-patterns

Use when: test quality evaluation, coverage thresholds, quality standards DO NOT use when: simple scripts without quality requirements category: infrastructure tags: [testing, quality, standards, metrics] dependencies: [] estimated_tokens: 400 provides: patterns: [coverage-thresholds, quality-metrics, anti-patterns]

Testing Quality Standards

Shared quality standards and metrics for testing across all plugins in the Claude Night Market ecosystem.

Coverage Thresholds

Level	Coverage	Use Case
Minimum	60%	Legacy code
Standard	80%	Normal development
High	90%	Critical systems
detailed	95%+	Safety-critical

Quality Metrics

Structure

• Clear test organization
• Meaningful test names
• Proper setup/teardown
• Isolated test cases

Coverage

• Critical paths covered
• Edge cases tested
• Error conditions handled
• Integration points verified

Maintainability

• DRY test code
• Reusable fixtures
• Clear assertions
• Minimal mocking

Reliability

• No flaky tests
• Deterministic execution
• No order dependencies
• Fast feedback loop

Detailed Topics

For implementation patterns and examples:

• Anti-Patterns - Common testing mistakes with before/after examples
• Best Practices - Core testing principles and exit criteria

Integration with Plugin Testing

This skill provides foundational standards referenced by:

• pensive:test-review - Uses coverage thresholds and quality metrics
• parseltongue:python-testing - Uses anti-patterns and best practices
• sanctum:test-* - Uses quality checklist for test validation

Reference in your skill's frontmatter:

dependencies: [leyline:testing-quality-standards]

Verification: Run pytest -v to verify tests pass.

Troubleshooting

Common Issues

Tests not discovered Ensure test files match pattern test_*.py or *_test.py. Run pytest --collect-only to verify.

Import errors Check that the module being tested is in PYTHONPATH or install with pip install -e .

Async tests failing Install pytest-asyncio and decorate test functions with @pytest.mark.asyncio