Can this skill handle refactoring-related breakages?

Yes, it is designed to analyze recent changes using git diff to resolve issues stemming from renamed modules, updated function signatures, or structural changes.

How does this skill group test failures?

The skill categorizes errors by type (such as ImportErrors or AssertionErrors), the specific module affected, and shared root causes to fix high-impact issues first.

How does it ensure that fixes don't break other parts of the code?

The skill follows a strict verification process: it runs targeted tests after every individual fix and performs a comprehensive full-suite run once all errors are addressed.

Does it support different testing frameworks?

While the default workflow uses 'make test' and 'pytest', the systematic logic of grouping and prioritizing fixes can be applied to various testing environments.

Smart Test Fixing Assistant

Name: Smart Test Fixing Assistant
Author: pur3v4d3r

bypur3v4d3r

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Security & Testing

Systematically identifies, groups, and resolves failing tests in your codebase using intelligent error analysis and prioritized fixing strategies.

About

The Test Fixing skill provides Claude with a structured methodology for repairing broken test suites. Instead of addressing failures at random, it analyzes the output of test runs to group errors by type, module, or root cause. By prioritizing infrastructure and API-level fixes before tackling specific logic bugs, it ensures a more efficient recovery process. This skill is particularly useful after major refactors or when dealing with CI/CD failures, ensuring that every fix is verified incrementally to maintain code stability and prevent regressions.

Key Features

Automated root cause identification using git diff analysis
1 GitHub stars
Intelligent error grouping by exception type, module, and root cause
Incremental verification with targeted test execution
Prioritized repair strategy addressing infrastructure before logic
Full-suite regression testing after all fixes are applied

Use Cases

Quickly fixing CI/CD pipeline breaks to unblock development workflows
Resolving widespread test failures following a major code refactor
Systematically cleaning up technical debt in legacy test suites

About

Key Features

Automated root cause identification using git diff analysis
1 GitHub stars
Intelligent error grouping by exception type, module, and root cause
Incremental verification with targeted test execution
Prioritized repair strategy addressing infrastructure before logic
Full-suite regression testing after all fixes are applied

Use Cases

Quickly fixing CI/CD pipeline breaks to unblock development workflows
Resolving widespread test failures following a major code refactor
Systematically cleaning up technical debt in legacy test suites