Can it fix infrastructure and environment issues?

Yes, the skill includes specific strategies for diagnosing missing environment variables, configuration errors, and service connection issues.

Will it modify my application logic or just the tests?

It intelligently determines if the fault lies in the test or the implementation and can apply fixes to either, depending on the identified root cause.

How does it handle flaky tests?

The skill utilizes multiple verification runs to ensure stability and provides strategies for fixing timing-dependent issues or race conditions.

Does this skill work with specific programming languages?

Yes, Test Fixer is language-agnostic and works with any testing framework, including Jest, Pytest, JUnit, and .NET's xUnit.

Does it require a specific failure report format?

While it is optimized to work with reports from test-executor, it can analyze standard test logs and generic failure reports across various formats.

Test Fixer

Name: Test Fixer
Author: LaizyIO

byLaizyIO

安全与测试

Resolves failing tests automatically by analyzing error reports, diagnosing root causes, and implementing verified fixes across any framework.

关于

The Test Fixer skill provides a systematic approach to debugging and resolving test failures within any development environment. By analyzing failure reports generated by tools like test-executor, it identifies patterns, categorizes errors (such as timeouts, assertion failures, or authentication issues), and applies targeted fixes to either implementation code or test suites. This skill streamlines the testing lifecycle by iterating on corrections and verifying stability through regression checks, ensuring that your CI/CD pipeline remains green without manual intervention.

主要功能

Iterative debugging with local verification and regression checks
0 GitHub stars
Targeted strategies for timeout, data, and connection errors
Universal framework compatibility for any language or testing tool
Automated root cause analysis and systematic error categorization
Detailed fix documentation and implementation plan updates

使用场景

Resolving flaky tests caused by timing issues or environment mismatches
Fixing a broken CI/CD pipeline after a large codebase refactor
Standardizing debugging workflows across multi-language microservices

关于

主要功能

Iterative debugging with local verification and regression checks
0 GitHub stars
Targeted strategies for timeout, data, and connection errors
Universal framework compatibility for any language or testing tool
Automated root cause analysis and systematic error categorization
Detailed fix documentation and implementation plan updates

使用场景

Resolving flaky tests caused by timing issues or environment mismatches
Fixing a broken CI/CD pipeline after a large codebase refactor
Standardizing debugging workflows across multi-language microservices