test-driven-hook-debugging
Debugging and fixing shell hooks by writing isolated test suites first, then using test failures to pinpoint logic bugs
Best use case
test-driven-hook-debugging is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Debugging and fixing shell hooks by writing isolated test suites first, then using test failures to pinpoint logic bugs
Teams using test-driven-hook-debugging should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/test-driven-hook-debugging/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How test-driven-hook-debugging Compares
| Feature / Agent | test-driven-hook-debugging | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Debugging and fixing shell hooks by writing isolated test suites first, then using test failures to pinpoint logic bugs
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Test-Driven Hook Debugging When a shell hook has subtle logic bugs (e.g., git operations failing silently in non-repo contexts), write a focused test suite in Python using `subprocess` to call the hook in controlled scenarios. Run tests to see the failure mode, then trace the gap between test expectations and hook behavior. Use guard clauses (e.g., `git rev-parse --git-dir` before `git log`) to handle edge cases. Re-run tests atomically after each fix to confirm the change. This approach isolates the bug and prevents regressions better than manual testing.
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