Testing Quality Standards

SkillMonitoring & ops

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

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Testing Quality Standards skill

What this skill tells your AI

The instructions your AI receives, as published by athola/claude-night-market in plugins/leyline/skills/testing-quality-standards/SKILL.md and read by ahel’s review.

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

LevelCoverageUse Case
Minimum60%Legacy code
Standard80%Normal development
High90%Critical systems
detailed95%+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:

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

Signals

GitHub stars
337
Forks
34
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
testing-quality-standards
Source
github.com/athola/claude-night-market