Code Review — community Code Review, windows-ai-dev-station, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for AI Agents like Claude Code and AutoGPT needing rigorous code validation and security audits. Windows 11 AI-Native Dev Station - AutoHotkey hotkeys, MCP configs, and automation scripts

FinesseAC FinesseAC
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The Code Review skill by FinesseAC is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for AI Agents like Claude Code and AutoGPT needing rigorous code validation and security audits.

Core Value

Empowers agents to scrutinize code correctness, handling edge cases and error conditions, while ensuring security protocols like input validation and SQL injection prevention are in place, utilizing parameterized queries and output encoding for XSS prevention.

↓ Capabilities Granted for Code Review

Automating code reviews for correctness and security
Debugging edge cases and error handling
Validating input data and preventing SQL injection and XSS attacks

! Prerequisites & Limits

  • Requires access to codebase
  • Limited to programming languages with defined security protocols
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

Code Review

Install Code Review, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Code Review Protocol

A comprehensive code review methodology that catches issues before they reach production.

Review Checklist

1. Correctness

  • Does the code do what it's supposed to do?
  • Are all edge cases handled?
  • Are error conditions handled properly?
  • Is the logic correct for all inputs?

2. Security

  • No hardcoded secrets or credentials
  • Input validation present
  • SQL injection prevention (parameterized queries)
  • XSS prevention (output encoding)
  • CSRF protection where needed
  • Proper authentication/authorization checks
  • Sensitive data properly protected

3. Performance

  • No obvious N+1 query issues
  • Appropriate data structures used
  • No unnecessary loops or iterations
  • Database queries optimized
  • Caching considered where appropriate
  • Memory leaks prevented (cleanup handlers)

4. Maintainability

  • Code is readable and self-documenting
  • Functions are focused and not too long
  • No excessive nesting
  • Consistent naming conventions
  • Appropriate abstractions used
  • No code duplication

5. Testing

  • New code has corresponding tests
  • Edge cases tested
  • Error paths tested
  • Tests are meaningful (not just coverage)

6. Documentation

  • Complex logic is explained
  • Public APIs are documented
  • Non-obvious decisions are commented
  • README updated if needed

Review Output Format

markdown
1## Code Review Summary
2
3**Files Reviewed**: [list]
4**Overall Assessment**: [APPROVE / REQUEST_CHANGES / NEEDS_DISCUSSION]
5
6### Critical Issues (Must Fix)
7- [ ] Issue 1: Description - Location - Suggested fix
8
9### Important Issues (Should Fix)
10- [ ] Issue 1: Description - Location - Suggested fix
11
12### Suggestions (Consider)
13- [ ] Suggestion 1: Description - Location - Rationale
14
15### Positive Observations
16- Good practice 1: Description
17- Good practice 2: Description

Severity Levels

  • Critical: Security vulnerabilities, data loss risks, crashes
  • Important: Bugs, performance issues, maintainability problems
  • Suggestion: Style improvements, minor optimizations, nice-to-haves

Review Best Practices

  1. Be specific and actionable in feedback
  2. Explain the "why" not just the "what"
  3. Suggest alternatives, don't just criticize
  4. Acknowledge good code, not just problems
  5. Focus on the code, not the person
  6. Prioritize feedback by severity

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is Code Review?

Perfect for AI Agents like Claude Code and AutoGPT needing rigorous code validation and security audits. Windows 11 AI-Native Dev Station - AutoHotkey hotkeys, MCP configs, and automation scripts

How do I install Code Review?

Run the command: npx killer-skills add FinesseAC/windows-ai-dev-station/Code Review. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for Code Review?

Key use cases include: Automating code reviews for correctness and security, Debugging edge cases and error handling, Validating input data and preventing SQL injection and XSS attacks.

Which IDEs are compatible with Code Review?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for Code Review?

Requires access to codebase. Limited to programming languages with defined security protocols.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add FinesseAC/windows-ai-dev-station/Code Review. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use Code Review immediately in the current project.

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