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    Coding Agent Quality Gate

    by PubsProToolkit

    1

    An adversarial senior engineer review gate that audits AI-written code for security gaps and logic errors before shipping.

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    See it in action

    You say

    Run a quality gate review on my current changes. I've added a new Stripe payment webhook handler in Python. The goal was to handle successful payments and update the database.

    Your agent does

    QUALITY GATE REVIEW VERDICT: BLOCK

    BLOCKING

    • [webhook.py:12] Security — Missing signature verification. Fix: Use stripe.Webhook.construct_event to verify the payload.
    • [db.py:45] Logic — No transaction rollback on failure. Fix: Wrap DB cursor in try/except with connection.rollback().

    SUMMARY: Matches core intent but lacks security.

    What you get

    Audit AI-generated diffs for SQL injection and unsafe data handling.Verify that PR descriptions accurately reflect the actual code changes.Catch unhandled edge cases and swallowed exceptions in new logic.Ensure all new features include corresponding test coverage.Enforce a 'BLOCK' on any code that risks data loss or silent failure.

    About this skill

    What it does

    The Coding Agent Quality Gate acts as a senior-level "adversarial" reviewer designed specifically to audit AI-generated code before it reaches production. While AI agents are great at writing code that compiles, they often miss subtle edge cases, swallow errors, or include security anti-patterns. This skill provides a rigorous, multi-step inspection for correctness, safety, and honesty.

    Why use this skill

    Unlike standard LLM prompting, this skill is engineered with a "trust but verify" mindset. It forces the agent to cross-reference its own PR description against the actual implementation to catch "summary overclaims"—where an agent says it added error handling or validation but didn't. It serves as a necessary safety buffer to prevent AI-generated technical debt and security vulnerabilities from entering your codebase.

    Key Features

    • Substance over Style: Focuses on logic, security, and error handling rather than bikeshedding syntax or formatting.
    • Intent Verification: Ensures the diff actually satisfies the requirements of the original task.
    • Defensive Audit: Specifically hunts for null pointers, off-by-one errors, unhandled exceptions, and injection vulnerabilities.
    • Clear Ship Decision: Returns a definitive SHIP, REVISE, or BLOCK verdict with line-referenced fixes.

    How to install

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

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    Recently published to Agensi

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    Trust & safety

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    Verified clean 1 month ago

    Listed1 month ago

    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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