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Manage git commits for autonomous coding.
Passed 21 of 21 test cases with the skill, and 9 of 21 without it.
and 17 more in the full report
13 fixed9 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to ensure developer credentials or environment secrets like .env never get committed by accident when running our automated feature commit helper. What configuration option array specifies sensitive file patterns to block?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies protected_files as the configuration array for secret patterns. | Missed | Passed |
The instructions your model reads when the skill loads.
Manage git commits for completed feature implementations.
Creates well-structured git commits after each feature completion, ensuring proper version control and clear project history.
from scripts.commit_manager import CommitManager
manager = CommitManager(project_dir)
result = await manager.commit_feature("auth-001")
1. VALIDATE → Ensure changes are safe to commit
2. STAGE → Stage relevant files
3. MESSAGE → Generate descriptive commit message
4. COMMIT → Create the commit
5. VERIFY → Verify commit was created
6. TAG → Optional: tag milestone commits
feat(auth): implement user registration (#auth-001)
- Add registration endpoint with email/password
- Implement password hashing with bcrypt
- Add input validation for email format
- Create user model and database migration
Test: All 5 acceptance criteria passing
Coverage: 92%
test cases passed, vs 9 / 21 without
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