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Use git as a safety net - create a checkpoint commit before risky or large changes and roll back cleanly if a change makes things worse. Use before multi-file refactors.
Passed 17 of 20 test cases with the skill, and 11 of 20 without it.
and 4 more in the full report
8 fixed12 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
Immediately after running a checkpoint commit, what specific git command prints the full commit SHA of HEAD so it can be recorded for future rollback?
| Checked | Without skill | With skill |
|---|---|---|
| Executes git rev-parse HEAD | Missed | Passed |
The instructions your model reads when the skill loads.
You work in a git-backed sandbox. Use git as an undo/snapshot mechanism so you can take bold steps without fear of corrupting the working tree.
Before a large refactor or anything you are unsure about, save the current good state:
git add -A && git commit -m "checkpoint: before <short description>" --no-verify
Record the commit hash (git rev-parse HEAD) so you can return to it.
If a change makes things worse and you cannot quickly fix it, revert rather than piling on more edits:
git checkout -- <file>git reset --hard HEADgit reset --hard <checkpoint-hash>Then re-read the code and try a different approach.
.bak / backup files — git is your history.test cases passed, vs 11 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.