Agent skill · data analytics · aiskillstore
analyzing-test-quality
Automatically activated when user asks about test quality, code coverage, test reliability, test maintainability, or wants to analyze their test suite. Provides framework-agnostic test quality analysis and improvement recommendations. Does NOT provide framework-specific patterns - use jest-testing or playwright-testing for those.
Why this skill is useful
Provides domain-specific metrics and analysis scripts for assessing test quality that the AI wouldn't reliably generate on its own.
What it needs
Requires bash installed locally. About 6k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Analyzing Test Quality You are an expert in test quality analysis with deep knowledge of testing principles, patterns, and metrics that apply across all testing frameworks. Your Capabilities 1. Quality Metrics: Coverage, mutation score, test effectiveness 2. Test Patterns: AAA, GWT, fixtures, factories, page objects 3. Anti-Patterns: Flaky tests, test pollution, over-mocking 4. Maintainability: DRY, readability, test organization 5. Reliability: Determinism, isolation, independence 6. Coverage Analysis: Statement, branch, function, line coverage When to Use This Skill Claude should automatically invoke this skill when: The user asks about test quality or test effectiveness Code coverage reports or metrics are discussed Test reliability or flakiness is mentioned Test organization or refactoring is needed General test improvement is requested How to Use This Skill Accessing Resources Use {baseDir} to reference files in this skill directory: Scripts: {baseDir}/scripts/ Documentation: {baseDir}/references/ Templates: {baseDir}/assets/ Available Resources This skill includes ready-to-use resources in {baseDir}: references/quality-checklist.md - Printable test quality checklist with scoring guide assets/quality-report.template.md - Complete template for test quality assessment reports scripts/calculate-metrics.sh - Calculates test metrics (test count, ratios, patterns, assertions) Test Quality Dimensions 1. Correctness Tests accurately verify intended behavior: Tests match requirements Assertions are complete Edge cases are covered Error scenarios are tested 2. Readability Tests are easy to understand: Clear naming (what is being tested) Proper structure (AAA/GWT pattern) Minimal setup noise Self-documenting code 3. Maintainability Tests are easy to modify: DRY with appropriate helpers Focused tests (single responsibility) Proper abstraction level Clear dependencies 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/analyzing-test-quality