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behavioral-mutation-analyzer

Analyzes surviving mutants from mutation testing to identify why tests failed to detect them. Takes repository code, test suite, and mutation testing results as input. Identifies root causes including insufficient coverage, equivalent mutants, weak assertions, and missed edge cases. Automatically generates actionable test improvements and new test cases. Use when analyzing mutation testing results, improving test suite effectiveness, investigating low mutation scores, generating tests to kill surviving mutants, or enhancing test quality based on mutation analysis.

94

Quality

92%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Evaluation results

100%

10%

Improve Test Suite for Inventory Pricing Module

Root cause classification and targeted test generation

Criteria
Without context
With context

Killed mutant filtered

100%

100%

Weak assertion category

62%

100%

Boundary mutation category

87%

100%

State mutation category

62%

100%

Side effect mutation category

62%

100%

Exact value assertion for #1

100%

100%

Boundary value test for #2

100%

100%

State assertion for #4

100%

100%

Side effect assertion for #5

100%

100%

Mutant-targeting comment

100%

100%

Descriptive test name

100%

100%

pytest framework followed

100%

100%

84%

8%

Mutation Analysis Report for Access Control Library

Structured report generation and equivalent mutant documentation

Criteria
Without context
With context

Killed mutant excluded

50%

100%

Executive summary present

100%

100%

Mutants grouped by category

100%

100%

Equivalent mutant identified

0%

0%

Equivalent mutant config

0%

0%

Security priority

100%

100%

Truth table for logical operator

50%

100%

NoCoverage mutant noted

100%

100%

Concrete test improvements

100%

100%

Recommendations section

100%

100%

Exact equality for #4

100%

100%

No mutation of killed mutant

100%

100%

100%

4%

Fix Mutation Gaps in Order Processing Service

PIT parsing, test framework matching, and side-effect verification strategy

Criteria
Without context
With context

Killed mutant filtered

100%

100%

7 survivors identified

100%

100%

JUnit 5 style used

100%

100%

Mockito verify for paymentGateway

100%

100%

Mockito verify for auditLogger

100%

100%

VoidMethodCall strategy applied

100%

100%

Exact fee assertion

100%

100%

Boundary value test for isEligible

100%

100%

Logical operator test coverage

50%

100%

List state assertion for index 7

100%

100%

Category labels used

100%

100%

Correct fee arithmetic

100%

100%

Repository
ArabelaTso/Skills-4-SE
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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