Why is mutation testing better than standard code coverage?

Standard code coverage only measures if a line of code was executed. Mutation testing measures if the tests actually verify the correctness of the logic on those lines.

What is mutation testing?

Mutation testing involves making small, intentional changes to your source code to see if your existing tests fail. If the tests pass despite the change, it indicates the tests are not effectively validating that logic.

How do I trigger the Mutation Test Runner?

You can trigger the skill by asking Claude to 'run mutation tests', 'check test effectiveness', or 'analyze surviving mutants' for specific files or modules.

How does this skill improve code quality?

By identifying 'surviving mutants,' the skill highlights areas where your tests are weak or missing, allowing you to strengthen your test suite against real-world regressions.

Mutation Test Runner

Name: Mutation Test Runner
Author: intent-solutions-io

byintent-solutions-io

보안 및 테스팅

Validates test suite effectiveness by introducing code mutations and analyzing survival rates to identify testing gaps.

소개

The Mutation Test Runner skill empowers Claude to go beyond simple code coverage by performing mutation testing on your codebase. By introducing small, intentional faults (mutants) into your source code and running your existing test suite, the skill determines if your tests are robust enough to catch these changes. It provides a comprehensive mutation score and identifies specific 'surviving mutants,' allowing developers to pinpoint exactly where their tests lack the logic necessary to detect regressions or incorrect behavior. This is essential for maintaining high-quality, mission-critical code where standard coverage metrics may be misleading.

주요 기능

Identification of surviving mutants to highlight test weaknesses
Automatic mutation generation for targeted code modules
Real-time test suite execution against mutated source code
Actionable recommendations for improving test case logic
0 GitHub stars
Detailed mutation score calculation and reporting

사용 사례

Assessing the true effectiveness of a unit test suite beyond line coverage
Identifying logic gaps in critical modules like authentication or payment processing
Improving overall project reliability by iteratively increasing mutation scores

소개

주요 기능

Identification of surviving mutants to highlight test weaknesses
Automatic mutation generation for targeted code modules
Real-time test suite execution against mutated source code
Actionable recommendations for improving test case logic
0 GitHub stars
Detailed mutation score calculation and reporting

사용 사례

Assessing the true effectiveness of a unit test suite beyond line coverage
Identifying logic gaps in critical modules like authentication or payment processing
Improving overall project reliability by iteratively increasing mutation scores