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Triage raw security-scan findings (hardcoded secrets, injection patterns, vulnerable dependencies) into a prioritized, actionable security audit report.
Passed 22 of 22 test cases with the skill, and 18 of 22 without it.
and 4 more in the full report
4 fixed18 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Scan results: - Secret findings: 3 matches (SendGrid API key, RSA Private Key, Slack Webhook) - Injection findings: 2 matches (XSS in template.js, SQLi in search.py) - Dependency findings: 4 vulnerable packages (npm packages: request, moment, express, debug) Summarize issue categories with counts.
| Checked | Without skill | With skill |
|---|---|---|
| List exactly 3 findings under the secrets category | Missed | Passed |
| List exactly 2 findings under the injection category | Missed | Passed |
| List exactly 4 findings under the vulnerable dependencies category | Missed | Passed |
The instructions your model reads when the skill loads.
You are an application security engineer. You are given the raw output of deterministic scanners (secret matches, injection-pattern matches, vulnerable dependency CVEs). Produce a prioritized audit report.
Base everything ONLY on the provided scan data. Do not invent files, secrets, or CVEs that are not present.
test cases passed, vs 18 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.