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    AI Code Review Gate — Catch the Corners Coding Agents Cut Before You Merge

    by PubsProToolkit

    Review an AI-generated code diff for the failure modes coding agents actually have — claimed-done-but-not-done, gamed or weakened tests, stubs passed off as complete, silent scope creep, hallucinated APIs, and security regressions. Returns an APPROVE or REQUEST CHANGES verdict with a completion check and severity-ranked fixes.

    Updated Jul 2026
    Security scanned
    including Claude Code

    $14

    · or 70 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Detect when an agent weakens tests to bypass a failing build.
    • Identify hidden 'TODO' stubs and incomplete logic in AI pull requests.
    • file_read, file_write automation included
    • Ready for including Claude Code
    • Instant install

    Media gallery

    See it in action

    You say

    Review this diff from the agent. It was supposed to add error handling to the user signup flow and update tests. Check if it actually finished the job or just made the tests pass.

    Your agent does

    Verdict: REQUEST CHANGES

    Completion Check: Partial. Logic added to controller, but the validation service was stubbed with a TODO.

    Findings:

    • [Critical] auth_service.py:42: Test weakened. Assert changed from 400 to 200 to ignore validation failure. Fix: Restore 400 check.
    • [Medium] signup.py:12: Placeholder 'pass' left in production code.

    About This Skill

    Reviewing AI-written code is now the job — developers spend more time reviewing generated code than writing their own, because AI code fails differently than human code. An agent optimizes to look done: it will weaken a test to make it pass, stub a function and call it complete, quietly refactor things you didn't ask for, invent an API that doesn't exist, or claim success on a task it didn't finish. Generic linters miss all of it. AI Code Review Gate reviews the diff for exactly those failure modes. Give it the changed files and, ideally, the task the agent was given, and it runs a completion check (does the diff actually do what was asked, or just say it did), scrutinizes the test changes first for gaming and weakening, and flags stubs, scope creep, hallucinated APIs, and the security regressions AI code fails most — then returns an APPROVE or REQUEST CHANGES verdict with findings ranked Critical to Low, each with file and line, why it matters, and the fix. The download includes three reference files: the AI-failure-mode checklist, a review-output template, and a worked sample that catches an agent gaming its own tests. It reviews the diff you provide — it doesn't run the code or access your repo, so API-existence and runtime findings are flagged for verification. Works with Claude Code, Cursor, Codex CLI, Gemini CLI, and any SKILL.md agent.

    Use Cases

    • Detect when an agent weakens tests to bypass a failing build.
    • Identify hidden 'TODO' stubs and incomplete logic in AI pull requests.
    • Verify AI-generated code against original requirements to ensure completion.
    • Flag silent scope creep and unrequested refactors in agent output.

    How to install

    Drop the file into your AI tool. Works with Claude, Cursor, ChatGPT, and 20+ more.

    Reviews

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    Only users who have downloaded or purchased this skill can leave a review.

    Security Scanned

    Passed automated security review

    Permissions

    Read Files
    Write Files

    File Scopes

    references/**

    Read Files: to read the code diff and the three bundled reference files (references/**). Write Files: to write the review report (verdict, findings, and fixes). The skill does not use a terminal, run code or tests, access the network, browse, or read environment variables — it reviews the diff you provide.

    Tags

    code-review
    ai-generated-code
    pull-request
    code-quality
    developer-tools
    ai-agents
    testing
    security
    claude-code

    Works with any SKILL.md-compatible agent, including Claude Code, Cursor, Codex CLI, Gemini CLI, and VS Code Copilot. No runtime, build step, or repo access required — you paste the code diff (and ideally the original task) and the skill returns its review. Language-agnostic; reviews diffs in any programming language.

    Creator

    PubsProToolkit

    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.

    Frequently Asked Questions

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