git-bisect
/git-bisect
Find the exact commit that introduced a regression by driving git bisect with an automated pass/fail script. Use when a behavior worked in an older build and you need the first bad commit out of hundreds, not a guess.
- Author
- Amey-Thakur ↗
- Repository
- AI-SKILLS ↗
- Licence
- MIT
- Last repository change
- 05.09.2026
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No signals detected. Repository changed on 05.09.2026, without references to retired models or APIs.
MIT, open: use and modify while retaining author attribution.
What it does and when to use it
Find the exact commit that introduced a regression by driving git bisect with an automated pass/fail script. Use when a behavior worked in an older build and you need the first bad commit out of hundreds, not a guess.
Original author description
Find the exact commit that introduced a regression by driving git bisect with an automated pass/fail script. Use when a behavior worked in an older build and you need the first bad commit out of hundreds, not a guess.
How it works
- Method
- Checks
- Boundaries
SKILL.md preview
--- name: git-bisect description: Find the exact commit that introduced a regression by driving git bisect with an automated pass/fail script. Use when a behavior worked in an older build and you need the first bad commit out of hundreds, not a guess. --- # git bisect When a regression hides somewhere in three hundred commits, reading diffs is hopeless and blaming the obvious file is usually wrong. `git bisect` runs a binary search over history and, paired with a pass/fail command, checks out and tests each midpoint for you. You supply one good commit, one bad commit, and a script that exits 0 or non-zero. ## Method 1. **Confirm a known-good commit by hand.** Check out a tag or dated commit where the behavior worked and verify it yourself. A wrong "good" anchor sends the whole search into the wrong half and hands you a false culprit. 2. **Open the session.** Run `git bisect start`, then `git bisect bad` on the broken commit (often `HEAD`) and `git bisect good <sha>` on the confirmed one. Git checks out the midpoint and prints how many steps remain. 3. **Write a test that exits 0 for good and non-zero for bad.** A one-liner is ideal: `pytest tests/test_x.py::test_y -q` or a tiny shell script. Make it trip on this specific regression, not on unrelated breakage along the way. 4. **Automate the walk with `git bisect run`.** Pass the command: `git bisect run ./check.sh`. Git tests each midpoint unattended and names the first bad commit in about log2(N) steps, roughly nine for five hundred commits. 5. **Exit 125 for commits you cannot test.** If a midpoint fails to build for an unrelated reason, have the script `exit 125` so git skips it instead of scoring it good or bad and corrupting the result. 6. **Read the first-bad diff, not just its hash.** Git names the commit; you still owe the mechanism. A one-line change there is your lead, and sometimes it only exposed a latent fault planted much earlier. 7. **Close with `git bisect reset`.** Return to your branch and working state before you start the fix, or the next command runs against a detached HEAD and confuses everything downstream. ## Checks - Did you verify the "good" commit by hand rather than assume it? - Does the script isolate this regression and ignore noise from other failures? - After the run, did `git bisect reset` restore your original branch? ## Boundaries Bisect finds where behavior changed, not why it is wrong: a refactor can surface a bug written long before it. For non-history spaces like data, config, or a single uncommitted edit, use binary-search-debugging instead.
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