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

Coverage Thresholds
Quality Metrics
Detailed Topics

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 metrics
parseltongue:python-testing - Uses anti-patterns and best practices
sanctum:test-* - Uses quality checklist and content assertion levels for test validation
imbue: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