code review
15 MCP servers and Agent skills related to code review, each with install commands, source and popularity data, ready to paste into Cursor, Claude Code and other clients.
Security Auditor
v1.0.0
io.clawhub.jgarrison929/security-auditor
Use when reviewing code for security vulnerabilities, implementing authentication flows, auditing OWASP Top 10, configuring CORS/CSP headers, handling secrets, input validation, SQL injection prevention, XSS protection, or any security-related code review.
Code Review
v1.0.0
io.clawhub.wpank/code-review
Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidance, review process, and anti-patterns to avoid. Use when reviewing PRs, establishing review standards, or improving review quality.
Receiving Code Review
v0.1.0
io.clawhub.chenleiyanquan/receiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
pr-reviewer
v1.0.1
io.clawhub.briancolinger/pr-reviewer
Automated GitHub PR code review with diff analysis, lint integration, and structured reports.
Code Mentor
v1.0.2
io.clawhub.samuelkahessay/code-mentor
Comprehensive AI programming tutor for all levels. Teaches programming through interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. Use when the user wants to: learn a programming language, debug code, understand algorithms, review their code, learn design patterns, practice data structures, prepare for coding interviews, understand best practices, build projects, or get help with homework. Supports Python and JavaScript.
Requesting Code Review
v0.1.0
io.clawhub.zlc000190/requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
OpenAI Codex Sub Agents
v1.0.0
io.clawhub.adamsardo/codex-sub-agents
Use OpenAI Codex CLI for coding tasks. Triggers: codex, code review, fix CI, refactor code, implement feature, coding agent, gpt-5-codex. Enables Clawdbot to delegate coding work to Codex CLI as a subagent or direct tool.
code-review-fix
v1.0.0
io.clawhub.landyun/code-review-fix
Automatically review code for bugs, security, style, and performance issues, provide fix suggestions, and optionally apply repairs with explanations.
Senior Dev
v0.1.0
io.clawhub.michaelmonetized/senior-dev
Production development workflow with TODO tracking, Graphite PRs, GitHub issues, Vercel deploy checks, and SMS notifications. Use when starting a new task, fixing bugs, implementing features, or any development work that needs tracked progress and code review.
Audit Code
v1.1.1
io.clawhub.itsnishi/audit-code
Security-focused code review for hardcoded secrets, dangerous calls, and common vulnerabilities
Swiftui Performance Audit
v1.0.0
io.clawhub.steipete/swiftui-performance-audit
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
Code Review
v1.0.0
io.clawhub.jpaulgrayson/quack-code-review
AI-powered code analysis via LogicArt — find bugs, security issues, and get logic flow visualizations.
GitHub MCP Server
v1.0.0
io.clawhub.buddhasource/github-mcp
GitHub MCP Server enables AI agents to manage repos, read/update files, handle issues/PRs, branches, and automate GitHub workflows via the API.
Task Development Workflow
v1.0.0
io.clawhub.anikgnr/task-development-workflow
TDD-first development workflow with structured planning, task tracking, and PR-based code review.
LiteLLM
v1.0.0
io.clawhub.ishaan-jaff/litellm
Call 100+ LLM providers through LiteLLM's unified API. Use when you need to call a different model than your primary (e.g., use GPT-4 for code review while running on Claude), compare outputs from multiple models, route to cheaper models for simple tasks, or access models your runtime doesn't natively support.