Cross-plugin testing quality metrics and standards. Referenced by pensive:test-review and parseltongue:python-testing. testing standards, quality metrics, coverage thresholds, anti-patterns Use when: test quality evaluation, coverage thresholds, quality standards DO NOT use when: simple scripts without quality requirements.
Establishes testing quality standards and coverage thresholds for cross-plugin test validation.
/plugin marketplace add athola/claude-night-market/plugin install leyline@claude-night-marketThis skill inherits all available tools. When active, it can use any tool Claude has access to.
modules/anti-patterns.mdmodules/best-practices.mdmodules/content-assertion-levels.mdShared quality standards and metrics for testing across all plugins in the Claude Night Market ecosystem.
| Level | Coverage | Use Case |
|---|---|---|
| Minimum | 60% | Legacy code |
| Standard | 80% | Normal development |
| High | 90% | Critical systems |
| detailed | 95%+ | Safety-critical |
For implementation patterns and examples:
This skill provides foundational standards referenced by:
pensive:test-review - Uses coverage thresholds and quality metricsparseltongue:python-testing - Uses anti-patterns and best practicessanctum:test-* - Uses quality checklist and content assertion levels for test validationimbue:proof-of-work - Uses content assertion levels to enforce Iron Law on execution markdownReference in your skill's frontmatter:
dependencies: [leyline:testing-quality-standards]
Verification: Run pytest -v to verify tests pass.
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
Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.