Mutation Test Suite Optimizer Agent Skill

Optimize test suites using mutation testing to maximize mutation kill rate with minimal tests. Use when you need to reduce test suite size while maintaining quality, identify redundant tests, improve mutation coverage, or validate test effectiveness. The skill analyzes test coverage, execution intervals, and redundancy using mutation operators, selects or generates a minimal subset of tests that maximizes mutation kill rate, and outputs an optimized test suite with detailed reports showing killed and surviving mutants. Supports multiple programming languages and mutation testing frameworks.

710 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

141

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/ArabelaTso/Skills-4-SE --skill mutation-test-suite-optimizer

The instruction itself

8 sections, as written by the author

Mutation Test Suite Optimizer

Overview

This skill optimizes test suites using mutation testing, selecting a minimal subset of tests that maximizes mutation kill rate while reducing execution time and redundancy.

Quick Start

# Optimize test suite with mutation testing
python scripts/optimize.py /path/to/repo --tests tests/

# Use specific mutation operators
python scripts/optimize.py repo/ --tests tests/ --operators AOR,ROR,COR

# Generate optimization report
python scripts/optimize.py repo/ --tests tests/ --output report.json

What Gets Optimized

Test Selection - Identify minimal test subset for maximum coverage
Redundancy Removal - Eliminate tests that kill same mutants
Mutation Coverage - Maximize mutants killed
Execution Time - Reduce overall test execution time
Test Quality - Identify weak or ineffective tests

Mutation Operators

Supports common mutation operators:

AOR - Arithmetic Operator Replacement
ROR - Relational Operator Replacement
COR - Conditional Operator Replacement
SOR - Shift Operator Replacement
LOR - Logical Operator Replacement
ASR - Assignment Operator Replacement

Optimization Report

Generates detailed report with:

Optimized Test Suite - Minimal test subset
Mutation Kill Rate - Percentage of mutants killed
Killed Mutants - List of detected mutants
Surviving Mutants - Mutants that escaped detection
Redundant Tests - Tests that can be removed
Execution Time Savings - Time reduction achieved

Example report:

{
  "original_tests": 150,
  "optimized_tests": 45,
  "mutation_kill_rate": 92.5,
  "killed_mutants": 185,
  "surviving_mutants": 15,
  "time_savings": "67%"
}

Usage

python scripts/optimize.py <repo_path> --tests <test_dir> [--operators <ops>] [--output <report.json>]

Tips

Run regularly to maintain test suite quality
Focus on high-value tests that kill unique mutants
Remove redundant tests to speed up CI/CD
Use surviving mutants to guide new test creation
Balance mutation score with execution time
Integrate into continuous testing pipeline

Other skills for the same job

different authors, same section of the catalogue

Webapp Testing

by anthropics

vendor ×12

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

6k tokens scripts

Finishing A Development Branch

by ZhanlinCui

×7

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

1k tokens

Test Driven Development

by w95

×7

Use when implementing any feature or bugfix, before writing implementation code

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

10k tokens scripts

Verification Before Completion

by ZhanlinCui

×6

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

19k tokens

How to use it

Copy the folder

Take arabelatso/mutation-test-suite-optimizer from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.