pr Reviewer

    3

    Automated, high-precision code reviews that detect bugs, security flaws, and performance bottlenecks in your PRs.

    $12

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    2 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    Review my recent changes on this branch for security vulnerabilities and bugs before I merge to main.

    Your agent does

    HIGH

    [auth.ts:42] Possible SQL Injection Category: Security Issue: User ID is interpolated directly into the query string. Suggestion:

    const user = await db.execute('SELECT * FROM users WHERE id = ?', [userId]);

    What you get

    Detect security vulnerabilities like hardcoded secrets and XSS before mergingIdentify performance bottlenecks like N+1 queries in new database logicEnforce code quality standards and catch "magic numbers" or dead codeVerify that new features have corresponding test coverage and documentation

    About this skill

    What it does

    This skill provides an automated, deep-dive code review of your current working branch compared to your base branch (main/master). It systematically analyzes your diff across six critical dimensions: correctness, security, performance, code quality, test coverage, and documentation.

    Why use this skill

    Manual code reviews are time-consuming and prone to human oversight. While standard LLM prompting might catch surface-level issues, this skill follows a rigorous multi-step engineering process: it identifies the merge-base, reads full file context (not just the diff), analyzes commit history quality, and categorizes findings by technical severity. It replaces vague feedback with structured, actionable PR_REVIEW.md files that include specific code suggestions.

    Supported tools

    • Git Integration: Works with any local repository to determine branch diffs and history.
    • Multi-language Support: Analyzes patterns in JavaScript, Python, Java, C++, and more.
    • Contextual Read: Uses local file access to understand the broader codebase surrounding your changes.
    • Automated Reporting: Generates a persistent markdown report in your root directory.

    The Output

    You receive a professional-grade PR_REVIEW.md file categorized by severity (CRITICAL to INFO). It identifies specific line numbers, explains the underlying risk (e.g., N+1 queries, XSS vulnerabilities, or race conditions), and provides logic-ready code blocks for quick fixes.

    How to install

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

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    Security scanned

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    2 installs

    Downloaded by developers to date

    30-day refund

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    Trust & safety

    Security scanned

    Verified clean 4 months ago

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    Listed4 months ago

    Frequently Asked Questions