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    AI-Generated Code Review & Test-Coverage Gate — Catch Untested Paths, Silent Changes & Over-Confident Bugs Before You Merge

    AI-Generated Code Review & Test-Coverage Gate — Catch Untested Paths, Silent Changes & Over-Confident Bugs Before You Merge

    by PubsProToolkit

    An adversarial reviewer for AI-written code changes. It pressure-tests a pull request or diff for untested branches, silent behavior changes, missing edge cases, over-confident code that only looks right, and weak tests, then returns a PASS / REVISE / BLOCK verdict before the change merges.

    Updated Jun 2026
    Security scanned
    a pull request

    $15

    · or 75 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • reviewing an AI agent's pull request for untested branches before merging
    • catching silent behavior changes in a diff that the description does not mention
    • file_read automation included
    • Ready for a pull request
    • Instant install

    Sample input

    Diff: new function applyDiscount(price, qty, pct). One test asserts applyDiscount(100,1,10) === 90. No other tests included.

    Sample output

    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.

    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.

    Use Cases

    • reviewing an AI agent's pull request for untested branches before merging
    • catching silent behavior changes in a diff that the description does not mention
    • checking whether auto-generated tests actually assert behavior or just call the code

    Reviews

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    Security Scanned

    Passed automated security review

    Permissions

    Read Files

    File Scopes

    ai-generated-code-review-test-coverage-gate/**

    Read access only, limited to the changed files, diff, or pull request and their tests that you point it at. The skill performs pure reasoning over that text and needs no network access, no write access, and runs nothing — it does not execute tests or build the project.

    Tags

    code-review
    ai-code
    test-coverage
    pull-request
    quality-gate

    Model-agnostic and works with any assistant that can read a diff, a pull request, or source files and their tests. It performs pure reasoning over the text you provide: no network access, no write access, and nothing is executed or built. It needs read access only to the changed files and tests you point it at. Because it does not run instrumentation, its coverage findings are reasoned from the diff rather than measured as a percentage. No setup and no dependencies.

    Creator

    PubsProToolkit

    PubsProToolkit builds AI agent skills that bring regulated-industry rigor to written output. Created by a CMPP-certified medical writer with a PhD and 10+ years in pharma — covering clinical and scientific publishing, plus evidence-grounded QC for any agent.

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