How does the Fix Test Case skill handle large test suites?

It uses the narrowest command possible to isolate the specific failing test, reducing execution time and focusing the AI's context on the relevant code path.

What happens if a test failure is due to a change in source layout?

The skill identifies layout-related failures and follows a specific protocol to add them to 'EXPECTED_FAILURE.md' rather than attempting an incorrect code fix.

Can I use this skill with pdb or other debugging tools?

Absolutely. The workflow encourages using 'python-debug' for pdb stepping and 'python-monitoring-trace' to pinpoint the exact root cause of a failure.

Does this skill support both Python and Rust tests?

Yes, it is configured to run final verifications using both 'uvx pytest' for Python and 'cargo test' for Rust-based components.

Test Case Fixer

Name: Test Case Fixer
Author: ahupp

byahupp

Security & Testing

Automates the identification, reproduction, and resolution of failing test cases through a structured debugging and verification workflow.

About

The Test Case Fixer skill provides a rigorous methodology for resolving software bugs by guiding Claude through a sequence of reproduction, isolation, and remediation. It excels at creating minimal reproduction cases (repros) to ensure fixes are targeted and don't introduce regression, while strictly adhering to codebase-specific constraints like source layout rules. By integrating with debugging tools and providing detailed rationale for every change, this skill transforms the often-chaotic process of bug fixing into a predictable, documented, and highly efficient workflow for developers.

Key Features

Root cause analysis mapping failures to state mismatches or edge cases
0 GitHub stars
Isolated repro case generation within the existing tests/ directory
Comprehensive verification across multiple test runners like pytest and cargo
Automated failure reproduction with narrow test command execution
Targeted fix implementation with a focus on minimal code changes

Use Cases

Generating minimal test cases to document and fix edge-case behaviors
Maintaining test suite integrity during large-scale code transformations
Resolving complex regression bugs in Python and Rust-integrated codebases

About

Key Features

Root cause analysis mapping failures to state mismatches or edge cases
0 GitHub stars
Isolated repro case generation within the existing tests/ directory
Comprehensive verification across multiple test runners like pytest and cargo
Automated failure reproduction with narrow test command execution
Targeted fix implementation with a focus on minimal code changes

Use Cases

Generating minimal test cases to document and fix edge-case behaviors
Maintaining test suite integrity during large-scale code transformations
Resolving complex regression bugs in Python and Rust-integrated codebases