How does this skill calculate the mutation score?

The mutation score is the percentage of total mutations that were 'killed' (detected) by your test suite. A higher score indicates a more effective set of tests.

What is a 'surviving mutant'?

A surviving mutant is a version of your code with a small logic change that your test suite failed to detect, indicating a gap in your test coverage.

Can I use this for specific modules only?

Yes, you can target mutation testing on specific critical modules or services to optimize performance and focus on high-risk areas.

What is the difference between code coverage and mutation testing?

Code coverage measures which lines of code are executed by tests, while mutation testing measures if the tests are actually capable of detecting logic errors within those lines.

Mutation Test Runner

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

byintent-solutions-io

Security & Testing

Validates test suite quality by introducing code mutations and analyzing the ability of tests to detect logic changes.

About

The Mutation Test Runner skill empowers Claude to perform advanced mutation testing, a technique that evaluates the effectiveness of your test suite by injecting small, intentional bugs into your codebase. By determining which mutations were 'killed' by your tests and which 'survived,' the skill provides a mutation score that reflects the actual robustness of your testing strategy beyond simple line coverage. It is an essential tool for identifying hidden gaps in test suites and ensuring critical business logic is thoroughly validated.

Key Features

Actionable recommendations for improving test cases based on results
Real-time execution of test suites against mutated code versions
0 GitHub stars
Comprehensive mutation score calculation and performance reporting
Automated mutation generation including logic and operator changes
Identification of surviving mutants to pinpoint specific testing weaknesses

Use Cases

Identifying edge cases that existing unit tests fail to catch
Benchmarking test suite quality during major refactoring or migrations
Verifying the depth and effectiveness of tests for critical validation modules

About

Key Features

Actionable recommendations for improving test cases based on results
Real-time execution of test suites against mutated code versions
0 GitHub stars
Comprehensive mutation score calculation and performance reporting
Automated mutation generation including logic and operator changes
Identification of surviving mutants to pinpoint specific testing weaknesses

Use Cases

Identifying edge cases that existing unit tests fail to catch
Benchmarking test suite quality during major refactoring or migrations
Verifying the depth and effectiveness of tests for critical validation modules