How does this skill detect overmocking?

It identifies tests that mock more than 3-4 dependencies or mock pure functions and business logic instead of external I/O boundaries, which makes tests fragile.

Can it help fix flaky tests?

Yes, it analyzes asynchronous code for race conditions and improper wait states, suggesting deterministic patterns to ensure tests pass or fail reliably.

What is the AAA pattern mentioned in the skill?

AAA stands for Arrange, Act, and Assert. It is a structural pattern that organizes tests into three clear sections to improve readability and maintainability.

Which testing frameworks are supported?

The skill provides general architectural wisdom applicable to all frameworks, with specific integration patterns for Vitest, Bun, Playwright, and Pytest.

Test Quality Analysis

Name: Test Quality Analysis
Author: secondsky

bysecondsky

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セキュリティとテスト

Analyzes and improves test suites by detecting test smells, overmocking, flaky tests, and coverage gaps.

概要

This skill provides Claude with expert knowledge to evaluate test quality across multiple dimensions including correctness, reliability, and maintainability. It helps developers identify anti-patterns such as overmocking, fragile selectors, and race conditions in asynchronous tests while providing actionable fixes based on the FIRST principles and the AAA pattern. Whether you are reviewing existing tests or setting up a new test suite, this skill ensures your codebase remains robust and easy to maintain by enforcing high testing standards and optimal coverage.

主な機能

Detects test smells and overmocking anti-patterns
Provides actionable refactoring advice for better maintainability
Identifies flaky tests and race conditions in async code
Evaluates test coverage and identifies critical path gaps
Supports common testing frameworks like Vitest and Pytest
21 GitHub stars

ユースケース

Auditing an existing test suite for maintainability and speed
Refactoring fragile E2E tests with semantic selectors
Fixing non-deterministic (flaky) tests in CI/CD pipelines

概要

主な機能

Detects test smells and overmocking anti-patterns
Provides actionable refactoring advice for better maintainability
Identifies flaky tests and race conditions in async code
Evaluates test coverage and identifies critical path gaps
Supports common testing frameworks like Vitest and Pytest
21 GitHub stars

ユースケース

Auditing an existing test suite for maintainability and speed
Refactoring fragile E2E tests with semantic selectors
Fixing non-deterministic (flaky) tests in CI/CD pipelines