code-reviewer

hidai25/eval-view

Catch AI agent regressions before you ship. YAML test cases, golden baselines, execution tracing, cost tracking, CI integration. LangGraph, CrewAI, Anthropic, OpenAI.

32 stars
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Python
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SKILL.md


name: code-reviewer description: A skill that helps review code for best practices, bugs, and security issues

Code Reviewer

This skill helps you review code for common issues.

When to Use

Use this skill when:

  • Reviewing pull requests
  • Checking code quality
  • Looking for security vulnerabilities

Guidelines

  1. Always check for:

    • Null pointer exceptions
    • SQL injection vulnerabilities
    • Hardcoded secrets
    • Missing error handling
  2. Provide constructive feedback with suggestions

  3. Prioritize issues by severity

Examples

Example 1: Security Review

When asked "review this code for security issues", focus on:

  • Input validation
  • Authentication/authorization
  • Data sanitization

Example 2: Performance Review

When asked about performance, check for:

  • N+1 queries
  • Unnecessary loops
  • Memory leaks