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Drive an authorized repository change through a verified local loop: baseline, reproduce, implement, test, review, and report evidence.
Passed 10 of 16 test cases with the skill, and 10 of 16 without it.
3 fixed12 passed either way6 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
The build command `cargo build` generated 50,000 lines of standard compilation output alongside one error line. State whether you should include the full 50,000 lines of raw stdout in your status update.
| Checked | Without skill | With skill |
|---|---|---|
| Returns concise diagnostic output instead of full raw build logs. | Missed | Passed |
The instructions your model reads when the skill loads.
Own the change from a verified starting point to a reviewed result. Use one agent and this skill alone unless a specialist changes a material decision.
AGENTS.md files and repository documentation.For a long, cross-stack, or high-risk change, use the templates and failure rules in references/loop-contract.md. When a task is expected to need repeated autonomous iterations or has an explicit retry, time, token, or cost limit, also use references/loop-policy.md. When a defect is intermittent, performance-related, difficult to reproduce, or resists the first evidence-driven pass, use references/hard-debugging.md.
Keep a compact ledger of confirmed facts, changed files, commands, outcomes, and the next decision. Return concise diagnostics instead of full logs.
test cases passed, vs 10 / 16 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.