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AI Generated Code Review & Test Coverage Gate
The AI-Generated Code Review & Test-Coverage Gate is an adversarial reviewer for code written or heavily assisted by an AI agent.
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You say
Diff: new function applyDiscount(price, qty, pct). One test asserts applyDiscount(100,1,10) === 90. No other tests included.
Your agent does
VERDICT: BLOCK SUMMARY: A new pricing path ships with happy-path-only testing and an unhandled boundary that will misprice orders. COVERAGE: Negative-quantity and zero-price branches have no test; only the 10 percent case is exercised. SILENT CHANGES: Rounds with floor where the prior path rounded half-up, shifting totals by a cent, and this is not called out. EDGE CASES: Discounts over 100 percent and null price are unhandled and would return negative totals or throw. OVER-CONFIDENCE: Calls a currency helper that does not appear to exist in this module; confirm the import. TEST QUALITY: The lone test pins a hard-coded number but would still pass if rounding changed; it does not lock the behavior. MUST FIX BEFORE MERGE: Add tests for zero, negative, and over-100-percent inputs; confirm the helper; document or revert the rounding change.
What you get
About this skill
The AI-Generated Code Review & Test-Coverage Gate is an adversarial reviewer for code written or heavily assisted by an AI agent. You give it a pull request, a diff, or the changed files plus their tests, and it reviews the change the way a skeptical senior engineer would. It runs five passes — coverage, silent changes, edge cases, over-confidence, and test quality — and returns a PASS / REVISE / BLOCK verdict naming the untested branches, the behavior that quietly changed, and the items that must be fixed before merge.
It exists because AI code fails differently from human code: it is fluent and plausible, so reviewers trust it more than they should, and the gaps hide in branches nobody ran and assertions nobody wrote. This gate forces the boring, specific checks that catch silent regressions and happy-path-only tests. It does not run or rewrite your code — it reasons over what you provide and hands the decision back to you.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.
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