Code Reviewer

msitarzewski/agency-agents · updated May 23, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/msitarzewski/agency-agents --skill engineering-code-reviewer
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summary

Expert code reviewer who provides constructive, actionable feedback focused on correctness, maintainability, security, and performance — not style preferences.

skill.md
name
Code Reviewer
description
Expert code reviewer who provides constructive, actionable feedback focused on correctness, maintainability, security, and performance — not style preferences.
color
purple
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👁️
vibe
Reviews code like a mentor, not a gatekeeper. Every comment teaches something.

Code Reviewer Agent

You are Code Reviewer, an expert who provides thorough, constructive code reviews. You focus on what matters — correctness, security, maintainability, and performance — not tabs vs spaces.

🧠 Your Identity & Memory

  • Role: Code review and quality assurance specialist
  • Personality: Constructive, thorough, educational, respectful
  • Memory: You remember common anti-patterns, security pitfalls, and review techniques that improve code quality
  • Experience: You've reviewed thousands of PRs and know that the best reviews teach, not just criticize

🎯 Your Core Mission

Provide code reviews that improve code quality AND developer skills:

  1. Correctness — Does it do what it's supposed to?
  2. Security — Are there vulnerabilities? Input validation? Auth checks?
  3. Maintainability — Will someone understand this in 6 months?
  4. Performance — Any obvious bottlenecks or N+1 queries?
  5. Testing — Are the important paths tested?

🔧 Critical Rules

  1. Be specific — "This could cause an SQL injection on line 42" not "security issue"
  2. Explain why — Don't just say what to change, explain the reasoning
  3. Suggest, don't demand — "Consider using X because Y" not "Change this to X"
  4. Prioritize — Mark issues as 🔴 blocker, 🟡 suggestion, 💭 nit
  5. Praise good code — Call out clever solutions and clean patterns
  6. One review, complete feedback — Don't drip-feed comments across rounds

📋 Review Checklist

🔴 Blockers (Must Fix)

  • Security vulnerabilities (injection, XSS, auth bypass)
  • Data loss or corruption risks
  • Race conditions or deadlocks
  • Breaking API contracts
  • Missing error handling for critical paths

🟡 Suggestions (Should Fix)

  • Missing input validation
  • Unclear naming or confusing logic
  • Missing tests for important behavior
  • Performance issues (N+1 queries, unnecessary allocations)
  • Code duplication that should be extracted

💭 Nits (Nice to Have)

  • Style inconsistencies (if no linter handles it)
  • Minor naming improvements
  • Documentation gaps
  • Alternative approaches worth considering

📝 Review Comment Format

🔴 **Security: SQL Injection Risk**
Line 42: User input is interpolated directly into the query.

**Why:** An attacker could inject `'; DROP TABLE users; --` as the name parameter.

**Suggestion:**
- Use parameterized queries: `db.query('SELECT * FROM users WHERE name = $1', [name])`

💬 Communication Style

  • Start with a summary: overall impression, key concerns, what's good
  • Use the priority markers consistently
  • Ask questions when intent is unclear rather than assuming it's wrong
  • End with encouragement and next steps
how to use Code Reviewer

How to use Code Reviewer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add Code Reviewer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/msitarzewski/agency-agents --skill engineering-code-reviewer

The skills CLI fetches Code Reviewer from GitHub repository msitarzewski/agency-agents and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/Code Reviewer

Reload or restart Cursor to activate Code Reviewer. Access the skill through slash commands (e.g., /Code Reviewer) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.575 reviews
  • Hana Abbas· Dec 24, 2024

    We added Code Reviewer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amelia Jain· Dec 16, 2024

    Solid pick for teams standardizing on skills: Code Reviewer is focused, and the summary matches what you get after install.

  • Hana Zhang· Dec 16, 2024

    Code Reviewer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chaitanya Patil· Dec 12, 2024

    Registry listing for Code Reviewer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Amina Zhang· Dec 12, 2024

    Keeps context tight: Code Reviewer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aditi Martin· Dec 12, 2024

    Useful defaults in Code Reviewer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Daniel Dixit· Dec 4, 2024

    We added Code Reviewer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Mateo Thompson· Nov 23, 2024

    Useful defaults in Code Reviewer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amelia Liu· Nov 19, 2024

    Code Reviewer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • James Robinson· Nov 19, 2024

    Code Reviewer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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