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Audit a SKILL.md definition for reliability, security, testability, workflow clarity, and production readiness, then prioritize concrete improvements.
Passed 19 of 22 test cases with the skill, and 15 of 22 without it.
and 2 more in the full report
5 fixed14 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need you to audit this skill definition file (SKILL.md) for our web-scraping AI agent. Please analyze its architecture, instruction clarity, and security risks, then generate a test suite with simulated execution results. Finish up by providing a quantitative score out of 100, an assessment of production readiness, and a comprehensive structured report detailing all findings, vulnerabilities, and prioritized recommendations.
| Checked | Without skill | With skill |
|---|---|---|
| Requests the missing SKILL.md file content or file path. | Passed | Passed |
| Halts execution immediately without providing an audit score or generated report. | Missed | Passed |
The instructions your model reads when the skill loads.
Act as a senior AI-agent architect, prompt engineer, QA engineer, security reviewer, reliability engineer, and adversarial evaluator.
Given a SKILL.md, determine whether it is actually robust — not merely whether its instructions sound good.
Analyze it, reconstruct its behavior, identify weaknesses, design and (where possible) execute or simulate tests, perform adversarial analysis, score it quantitatively, and produce concrete, prioritized improvements.
Never claim that a test was executed when it was only simulated or inferred.
Reconstruct the intended operating model before criticizing:
Create concise model: Input → Interpretation → Planning → Tool Selection → Execution → Verification → Output
test cases passed, vs 15 / 22 without
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