Can I integrate these tests with my existing CI/CD pipeline?

Yes. The skill organizes tests into specific regression files (e.g., test_module_regression.py) which can be prioritized in your CI suite for fast feedback.

Does this skill create tests for every single bug fix?

No, it uses an evaluation matrix to skip trivial fixes or well-tested areas, focusing only on high-value scenarios like critical bugs, complex logic, or low-coverage modules.

How does the skill track the original bug context?

The skill follows a strict naming convention and documentation pattern that includes issue/PR numbers, root cause analysis, and the exact failure scenario in the test docstring.

Does it provide metrics on test impact?

Yes, when implementing a test, the skill provides a 'Coverage Impact' summary showing how the new test improves the specific module's testing metrics.

Regression Testing Orchestrator

Name: Regression Testing Orchestrator
Author: MacroMan5

byMacroMan5

•

安全与测试

Automates the evaluation and implementation of regression tests following bug fixes to ensure long-term code stability.

关于

The Regression Testing skill transforms how developers handle bug fixes by automatically determining the necessity of regression tests based on bug severity, code complexity, and existing test coverage. It provides a structured framework for analyzing root causes, implementing targeted test cases with standardized naming conventions, and documenting the context behind every fix. By integrating directly into the Claude Code workflow, it ensures that critical and complex issues never recur while intelligently skipping low-value tests for trivial changes, maintaining a high-quality codebase without unnecessary test bloat.

主要功能

Automated evaluation of test necessity based on severity and complexity
Traceability through issue/PR number mapping in test naming conventions
Intelligent skip logic to prevent redundant testing in high-coverage areas
2 GitHub stars
Standardized regression test templates with detailed bug context documentation
Integration-ready workflow for CI/CD pipelines and early regression detection

使用场景

Capturing edge cases and race conditions in complex state machines or workflows
Ensuring critical security or data loss bugs never reappear in production
Increasing test coverage in neglected or high-risk modules immediately after a fix

关于

主要功能

Automated evaluation of test necessity based on severity and complexity
Traceability through issue/PR number mapping in test naming conventions
Intelligent skip logic to prevent redundant testing in high-coverage areas
2 GitHub stars
Standardized regression test templates with detailed bug context documentation
Integration-ready workflow for CI/CD pipelines and early regression detection

使用场景

Capturing edge cases and race conditions in complex state machines or workflows
Ensuring critical security or data loss bugs never reappear in production
Increasing test coverage in neglected or high-risk modules immediately after a fix