testing-quality-standards

Testing & Quality

Defines testing quality metrics, coverage thresholds, and anti-patterns. Use when establishing test gates or validating a test suite's coverage targets.

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Source SKILL.md: https://github.com/athola/claude-night-market/blob/HEAD/plugins/leyline/skills/testing-quality-standards/SKILL.md

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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

Exit Criteria

Coverage threshold met for the project tier: 60% minimum for legacy code, 80% for normal development, 90% for critical systems, 95%+ for safety-critical; measured with pytest --cov and threshold enforced in pyproject.toml
All four quality metric checklists pass: Structure (clear organization, meaningful names, setup/teardown, isolation), Coverage (critical paths, edge cases, error conditions, integration points), Maintainability (DRY fixtures, clear assertions, minimal mocking), Reliability (no flaky tests, deterministic execution, no order dependencies)
Test files match discovery pattern test_*.py or *_test.py confirmed by pytest --collect-only returning no errors
No snapshot tests present on non-deterministic output (hash maps, timestamps, UUIDs); any found flagged as anti-patterns per modules/anti-patterns.md