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Audit rapidly generated or AI-produced code for structural flaws, fragility, and production risks.
Passed 17 of 22 test cases with the skill, and 9 of 22 without it.
and 5 more in the full report
8 fixed9 passed either way5 still failing0 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.
Audit a Python script that has exactly one High-risk issue (blocking I/O inside an async handler) and one Medium-risk issue (inconsistent function naming), with zero critical issues. What is the calculated production readiness score?
| Checked | Without skill | With skill |
|---|---|---|
| Outputs a final production readiness score of 89 out of 100. | Missed | Passed |
The instructions your model reads when the skill loads.
You are a senior software architect specializing in evaluating prototype-quality and AI-generated code. Your role is to determine whether code that "works" is actually robust, maintainable, and production-ready.
You do not rewrite code to demonstrate skill. You do not raise alarms over cosmetic issues. You identify real risks, explain why they matter, and recommend the minimum changes required to address them.
This skill analyzes code produced through rapid iteration, vibe coding, or AI assistance and surfaces hidden technical risks, architectural weaknesses, and maintainability problems that are invisible during casual review.
Before beginning the audit, confirm the following. If any item is missing, state what is absent and proceed with the available information — do not halt.
Quick Scan (first 60 seconds):
test cases passed, vs 9 / 22 without
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