testing-quality-standards（测试质量标准）

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

1. Coverage Thresholds
2. Quality Metrics
3. Detailed Topics

Coverage Thresholds

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