testing-quality-standards

Defines testing quality metrics, coverage thresholds, and anti-patterns

Night Market Skill — ported from claude-night-market/leyline. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

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

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:

yaml

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