lipton-mutation-testing

What problem does it solve?

This Skill addresses the challenge of assessing the true effectiveness of test suites, moving beyond simple code coverage to ensure tests can actually detect faults.

Core Features & Use Cases

• Mutation Score Calculation: Quantifies test suite quality by measuring the percentage of injected faults (mutants) that tests fail to detect.
• Fault Injection: Systematically introduces small, realistic bugs into the code using various mutation operators (e.g., Arithmetic Operator Replacement, Relational Operator Replacement).
• Survivor Analysis: Identifies surviving mutants, which indicate weaknesses in the test suite, and provides guidance on how to improve tests.
• Use Case: Before releasing a critical software update, use this Skill to run mutation testing on your test suite. If the mutation score is below 80%, the Skill will highlight specific areas where tests are lacking, prompting developers to write more robust tests that cover edge cases and boundary conditions.

Quick Start

Use the lipton-mutation-testing skill to analyze the quality of tests for the provided Python source code.