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Diagnose stalled, blocked, overloaded, or unhealthy Agiflow projects and recommend specific corrective actions.
Passed 18 of 25 test cases with the skill, and 16 of 25 without it.
3 fixed15 passed either way6 still failing1 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.
An IDOR finding on `/api/v1/orders` allows any user to fetch external customer records, confirmed with a verified request-to-database path trace. Which classification tag applies?
| Checked | Without skill | With skill |
|---|---|---|
| Classify the finding as `CONFIRMED`. | Missed | Passed |
The instructions your model reads when the skill loads.
A vulnerability finding is not confirmed until an adversary would agree it's exploitable. Unvalidated findings are noise.
Required inputs (in order of preference):
VULN-FINDINGS.json from /vuln-scan/audit --securityOptional:
THREAT_MODEL.md for threat scenario context.harness/engagement.md for scope constraintsIf no findings input exists, suggest:
"Run /vuln-scan first to generate findings to triage."
For each finding, challenge it from an attacker's perspective:
| Criteria | Adjust |
|---|---|
| Requires authentication | Lower by 1 level |
| Requires specific permissions | Lower by 1 level |
| Chained with another finding | Raise by 1 level |
| Affects all users | Raise by 1 level |
| No mitigation in place | Raise by 1 level |
test cases passed, vs 16 / 25 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.