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Diagnose failing GitHub Actions runs and propose fixes.
Passed 13 of 18 test cases with the skill, and 10 of 18 without it.
and 6 more in the full report
8 fixed10 passed either way3 still failing4 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.
What exact GitHub CLI command should be recommended to re-run only the failed jobs of run ID 998877 in `camunda/camunda` without executing it automatically?
| Checked | Without skill | With skill |
|---|---|---|
| specifies `gh run rerun --failed 998877 --repo camunda/camunda` | Missed | Passed |
The instructions your model reads when the skill loads.
Scope: diagnose + propose. Never apply, commit, or push automatically.
User shares a GHA URL (actions/runs/<id>, actions/runs/<id>/job/<id>, or pull/<n>/checks?check_run_id=<id>) and asks why it failed.
camunda/camunda repo → tell user this skill assumes monorepo conventions; some fixes won't apply.gh auth status works against camunda/camunda.ToolSearch; load them before deciding the
server is unavailable. Only skip Step 4 if loading genuinely fails.pull_request only) rerun. Per ci.md §flaky tests: retry within the timeout.ci.md. Silent or contradicts → drop. Use the prescribed composite actions (setup-maven-cache, setup-yarn-cache); cache writes only from main/stable*.run_id (required), job_id (optional), attempt (optional)For check URLs, check_run_id is the job id. /attempts/<n> → attempt=<n>.
gh run view <run-id> --repo camunda/camunda [--attempt <n>] --json \
status,conclusion,name,headBranch,headSha,event,workflowName,jobs,url,attempt
Default returns the latest attempt — a successful rerun masks the original failure. Always pass --attempt <n> if the URL had one; thread it through Step 7's --log-failed too.
in_progress → tell user, stop.success → tell user, ask what they actually want.test cases passed, vs 10 / 18 without
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