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Follows a systematic debugging protocol to find and fix bugs. Generates hypotheses ranked by likelihood, tests them methodically, implements a minimal fix, and adds a regression test.
Passed 19 of 21 test cases with the skill, and 10 of 21 without it.
and 11 more in the full report
10 fixed10 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
A background worker crashes with an out-of-memory error documented in `var/log/worker.log`. Construct the exact invocation phrase to trigger the diagnostic workflow.
| Checked | Without skill | With skill |
|---|---|---|
| The command begins with `/debug`. | Missed | Passed |
| The command includes `--logs var/log/worker.log`. | Missed | Passed |
The instructions your model reads when the skill loads.
/debug <issue_description> [--logs ] [--severity P0|P1|P2|P3]
Systematic debugging pipeline: reproduce, isolate, hypothesize, test, fix, verify, prevent.
| Arg | Type | Required | Description |
|---|---|---|---|
| issue_description | string | Yes | Bug description or error message |
| --logs | string | No | Path to relevant log file |
| --severity | string | No | Issue severity. Default: P2 |
Genre: bug-report + fix Format: Markdown diagnosis + code fix + regression test
Produces:
1. Reproduce the issue (get exact steps)
2. Isolate the cause (narrow scope, check recent changes)
3. Form 2-3 hypotheses ranked by likelihood
4. Test most likely hypothesis first
5. Implement fix (root cause, not symptom)
6. QA verifies fix and adds regression test
7. Document prevention measures
test cases passed, vs 10 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.