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Automatically repair buggy code and generate comprehensive tests for Python, Java, and C++ programs.
Passed 9 of 15 test cases with the skill, and 9 of 15 without it.
and 1 more in the full report
4 fixed9 passed either way5 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
After fixing a production defect in `services/payment_gateway.py`, a developer suggests writing a summary using a generic Markdown format. However, our repository has a designated post-fix report template in the assets directory. What exact relative file path should be loaded?
| Checked | Without skill | With skill |
|---|---|---|
| The response specifies assets/bug-fix-report-template.md as the report template path. | Missed | Passed |
The instructions your model reads when the skill loads.
Automatically diagnose and repair buggy code while generating comprehensive tests to verify correctness and prevent regressions.
Follow this systematic approach for bug fixing and test generation:
Read the buggy code - Use Read tool to examine the problematic code thoroughly.
Analyze the specification - Understand expected behavior from:
Identify the scope - Determine if the bug affects:
Trace the logic - Walk through the code execution mentally or with examples.
Identify the bug type:
Pinpoint the exact location - Identify the specific lines causing the issue.
Understand side effects - Check if the bug affects other parts of the codebase.
Apply minimal changes - Fix only what's broken, preserve existing functionality.
test cases passed, vs 9 / 15 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.