Best Code Review Skills for AI Coding Agents (2026)

A skill is a set of instructions packaged as a SKILL.md file that an AI agent reads to learn a new workflow. Code review is one of the highest-value categories — the right skill turns any AI coding agent into a structured, thorough reviewer.

Quick Answer: The best code review skills organize findings by severity, check for security vulnerabilities, enforce team style conventions, and produce actionable output. Top picks: code-reviewer (general purpose), security-audit (OWASP-focused), and custom team review skills. All work across Claude Code, OpenClaw, Codex CLI, Cursor, and other SKILL.md-compatible agents.

Why do AI agents need code review skills?

Without a skill, AI coding agents write decent reviews. They can spot obvious bugs, suggest improvements, and explain code. But the output is unstructured — a wall of text with no clear severity ratings, no consistent format, and no focus on what your team actually cares about.

With a code review skill, the agent follows a specific protocol: scan for security issues first, then logic errors, then performance, then style. It organizes findings by severity (critical, warning, suggestion). It checks against patterns your team has defined. The output is actionable, not just informational.

The difference matters most in team settings. When every review follows the same structure, developers can quickly scan for critical issues without reading through paragraphs of suggestions.

What should a good code review skill include?

The most effective review skills share a few characteristics:

Severity classification. Every finding gets a severity level. Critical (will cause bugs or security issues), warning (should fix before merge), and suggestion (optional improvement). This lets developers triage quickly.

Security-first scanning. The skill should check for hardcoded secrets, SQL injection patterns, XSS vulnerabilities, authentication bypasses, and other OWASP Top 10 issues before anything else.

Framework awareness. A review of React code should check for hooks violations, stale closures, and missing dependency arrays. A review of Go code should check for unchecked errors and goroutine leaks. Generic advice is less useful than framework-specific guidance.

Structured output. Findings should be organized in a consistent format that teams can standardize on. File, line, severity, issue, recommendation.

What are the best general-purpose review skills?

The code-reviewer skill on Agensi is the most-installed review skill. It provides structured severity-based output, checks for security patterns, and organizes findings by file.

For teams that want to customize their review criteria, building a custom skill is straightforward. Document your team's review checklist in a SKILL.md and your agent follows it consistently. See How to Create a SKILL.md for a step-by-step guide.

What are the best security-focused review skills?

The security-audit skill focuses specifically on security vulnerabilities. It scans for OWASP Top 10 issues, hardcoded secrets and API keys, authentication and authorization flaws, input validation gaps, and dependency vulnerabilities.

Security review is one area where skills add the most value. The skill maintains a consistent checklist that a human reviewer might rush through under time pressure.

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How do I install a code review skill?

The same process works across all SKILL.md-compatible agents:

# Download from Agensi
# Then unzip to your agent's skills directory:

# Claude Code
unzip code-reviewer.zip -d ~/.claude/skills/

# OpenClaw
unzip code-reviewer.zip -d ~/.openclaw/skills/

# Codex CLI
unzip code-reviewer.zip -d ~/.codex/skills/

# Cursor (project-level)
unzip code-reviewer.zip -d .cursor/skills/

Start a new session. Ask your agent to review code and the skill activates automatically.

For detailed installation instructions, read How to Install Skills in Claude Code or How to Install Skills in OpenClaw.

How do I build a custom code review skill for my team?

A custom review skill encodes your team's specific standards. Start with a SKILL.md template:

---
name: team-code-review
description: Use when reviewing code, pull requests, or checking for bugs and security issues.
---

# Team Code Review

## Review checklist
1. Security: check for hardcoded secrets, SQL injection, XSS
2. Error handling: all errors must use our Result type, never bare try/catch
3. Types: no `any` types, all function parameters typed
4. Tests: every new function needs at least one test
5. Performance: flag N+1 queries, unnecessary re-renders, unbounded loops

## Output format
Group findings by file. For each finding:
- **Severity:** critical | warning | suggestion
- **Line:** reference the specific line
- **Issue:** one sentence description
- **Fix:** specific recommendation

Commit this to .claude/skills/ (or your agent's equivalent) in your project repo. Every developer on the team gets the same review standard.

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Browse code review and security skills for any AI coding agent on Agensi.