Testing Quality Standards
Shared quality standards and metrics for testing across all plugins in the Claude Night Market ecosystem.
When To Use
- Establishing test quality gates and coverage targets
- Validating test suite against quality standards
When NOT To Use
- Exploratory testing or spike work
- Projects with established quality gates that meet requirements
Table of Contents
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
- Content Assertion Levels - L1/L2/L3 taxonomy for testing LLM-interpreted markdown files
Integration with Plugin Testing
This skill provides foundational standards referenced by:
pensive:test-review- Uses coverage thresholds and quality metricsparseltongue:python-testing- Uses anti-patterns and best practicessanctum:test-*- Uses quality checklist and content assertion levels for test validationimbue:proof-of-work- Uses content assertion levels to enforce Iron Law on execution markdown
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