Can I run this on specific parts of my project?

Yes, you can target mutation testing on specific modules, files, or high-complexity areas where test integrity is most critical.

What is a mutation score?

A mutation score is a metric representing the percentage of injected mutations that were successfully 'killed' (detected) by your tests; a higher score indicates a more reliable test suite.

Is this different from standard code coverage?

Yes. While code coverage tells you which lines of code were executed, mutation testing tells you if your tests actually validate the correctness of the logic on those lines.

What is mutation testing?

Mutation testing is a high-level testing method where small, intentional errors are introduced into your code to see if your existing tests can detect them, measuring the true effectiveness of your test suite.

How does this skill help improve my code?

It identifies 'surviving mutants'—logic changes that your tests failed to catch—allowing you to write more robust test cases for those specific vulnerabilities.

Mutation Testing Specialist

Name: Mutation Testing Specialist
Author: intent-solutions-io

byintent-solutions-io

보안 및 테스팅

Validates test suite effectiveness by introducing code mutations and measuring the ability of existing tests to detect logic changes.

소개

The Mutation Testing Specialist skill empowers Claude to go beyond traditional code coverage metrics by assessing the actual detection power of your test suites. By automatically injecting subtle logic changes—or mutations—into your codebase and running existing tests against them, this skill identifies 'surviving mutants' that highlight specific gaps in your testing logic. It provides actionable insights and mutation scores, helping developers strengthen their tests for critical modules, improve software reliability, and ensure that test suites are truly capable of catching regressions.

주요 기능

0 GitHub stars
Calculation of comprehensive mutation scores for test quality metrics
Targeted analysis of critical modules and high-complexity code
Actionable suggestions for improving test cases based on results
Automated mutation generation for logic-level code changes
Identification of surviving mutants to pinpoint test weaknesses

사용 사례

Assessing the real effectiveness of unit tests beyond simple line coverage
Identifying edge cases that existing tests fail to catch in critical services
Strengthening the reliability of complex validation and authentication logic

소개

주요 기능

0 GitHub stars
Calculation of comprehensive mutation scores for test quality metrics
Targeted analysis of critical modules and high-complexity code
Actionable suggestions for improving test cases based on results
Automated mutation generation for logic-level code changes
Identification of surviving mutants to pinpoint test weaknesses

사용 사례

Assessing the real effectiveness of unit tests beyond simple line coverage
Identifying edge cases that existing tests fail to catch in critical services
Strengthening the reliability of complex validation and authentication logic