codex-code-review
Uses the Codex CLI to review staged code, PRs, and directories for security, performance, and style issues.
Install
mkdir -p .claude/skills/codex-code-review && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/7047" && unzip -o skill.zip -d .claude/skills/codex-code-review && rm skill.zipInstalls to .claude/skills/codex-code-review
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Perform comprehensive code reviews using OpenAI Codex CLI. This skill should be used when users request code reviews, want to analyze diffs/PRs, need security audits, performance analysis, or want automated code quality feedback. Supports reviewing staged changes, specific files, entire directories, or git diffs.Key capabilities
- →Analyzes staged git changes
- →Automates security vulnerability scans
- →Evaluates performance bottlenecks
- →Generates pull request feedback
How it works
It executes non-interactive CLI commands with the --full-auto flag to trigger automated analysis modules.
Inputs & outputs
When to use codex-code-review
- →Review staged git changes
- →Perform a security audit on a codebase
- →Check project performance issues
- →Automate PR code quality feedback
About this skill
Codex Code Review
Overview
To perform thorough, automated code reviews using the OpenAI Codex CLI agent, use this skill. Codex runs locally and can analyze code changes, identify issues, suggest improvements, and provide security/performance insights through non-interactive automation.
⚠️ CRITICAL: When reviewing code that involves dependency versions, latest releases, or current best practices, you MUST use the WebSearch tool to verify information before making any claims. Never assume version numbers or release status - always search first to avoid false positives. See the "Web Search Verification" section for details.
Prerequisites
Ensure Codex CLI is installed and authenticated:
# Install via npm
npm install -g @openai/codex
# Or via Homebrew (macOS)
brew install --cask codex
# Authenticate (recommended: ChatGPT account)
codex
# Follow authentication prompts
Decision Tree: Choosing Review Type
Code review request → What scope?
├─ Git changes (staged/unstaged) → Use: Git Diff Review
│
├─ Pull Request → Use: PR Review Workflow
│
├─ Specific files → Use: File Review
│
├─ Entire directory/project → Use: Directory Review
│
└─ Special focus needed?
├─ Security concerns → Use: Security Audit
├─ Performance issues → Use: Performance Review
└─ Architecture/Design → Use: Architecture Review
Headless Execution (Required)
When running codex for automated code reviews, you MUST use the --full-auto flag to grant all necessary permissions for headless operation. Without this flag, codex may hang waiting for user approval.
Always use --full-auto for non-interactive reviews:
# CORRECT: Full automation mode - grants all permissions automatically
codex --full-auto exec "Review the staged git changes..."
# WRONG: May hang waiting for approval in automated contexts
codex exec "Review the staged git changes..."
Why this matters:
- Codex requires approval for file reads, command execution, and other operations
- In headless/automated mode, there's no user to approve these actions
--full-autoauto-approves all safe operations, enabling true automation
Alternative: Granular approval flags:
# Auto-approve specific operation types
codex --auto-approve-read --auto-approve-execute exec "..."
Quick Start
To perform a basic code review on staged changes:
codex --full-auto exec "Review the staged git changes. Analyze code quality, identify bugs, suggest improvements, and check for security issues. Provide a structured review with severity levels."
Review Workflows
1. Git Diff Review
To review uncommitted changes in the current repository:
Staged changes only:
codex --full-auto exec "Review all staged changes (git diff --cached). For each file:
1. Summarize what changed
2. Identify potential bugs or logic errors
3. Check for security vulnerabilities
4. Suggest code quality improvements
5. Rate severity: critical/high/medium/low
Format as a structured review report."
All uncommitted changes:
codex --full-auto exec "Review all uncommitted changes (git diff HEAD). Provide:
- Summary of changes per file
- Bug identification with line numbers
- Security concerns
- Code style issues
- Suggested fixes with code examples"
Changes between branches:
codex --full-auto exec "Review changes between main and current branch (git diff main...HEAD). Focus on:
1. Breaking changes
2. API compatibility
3. Test coverage gaps
4. Documentation needs"
2. PR Review Workflow
To review a GitHub Pull Request:
# First, fetch PR diff
gh pr diff <PR_NUMBER> > /tmp/pr_diff.txt
# Then review with codex (--full-auto for headless operation)
codex --full-auto exec "Review the code changes in /tmp/pr_diff.txt as a thorough PR reviewer. Provide:
## Summary
Brief description of what this PR accomplishes
## Code Review
For each file changed:
- Purpose of changes
- Potential issues (bugs, edge cases)
- Security considerations
- Performance implications
## Recommendations
- Required changes (blocking)
- Suggested improvements (non-blocking)
- Questions for the author
## Verdict
APPROVE / REQUEST_CHANGES / NEEDS_DISCUSSION"
3. File Review
To review specific files:
Single file:
codex --full-auto exec "Perform a comprehensive code review of src/utils/auth.ts. Analyze:
1. Code correctness and logic
2. Error handling completeness
3. Security vulnerabilities (OWASP Top 10)
4. Performance bottlenecks
5. Code maintainability
6. Test coverage recommendations"
Multiple files:
codex --full-auto exec "Review these files as a cohesive unit: src/api/handler.ts, src/api/middleware.ts, src/api/routes.ts. Focus on:
- Consistency across files
- Proper separation of concerns
- Error propagation
- Request validation"
4. Directory Review
To review an entire directory or project:
codex --full-auto exec "Perform a code review of the src/services/ directory. For each file:
- Identify the file's purpose
- List any bugs or issues
- Note security concerns
- Suggest improvements
Provide a summary with prioritized action items."
5. Security Audit
To perform a security-focused review:
codex --full-auto exec "Perform a security audit of the codebase. Check for:
**Critical:**
- SQL injection vulnerabilities
- Command injection risks
- Authentication/authorization flaws
- Sensitive data exposure
- Insecure deserialization
**High:**
- XSS vulnerabilities
- CSRF issues
- Insecure dependencies
- Hardcoded secrets/credentials
- Improper input validation
**Medium:**
- Missing rate limiting
- Verbose error messages
- Insecure configurations
- Missing security headers
Report findings with:
- Severity level
- File and line number
- Description of vulnerability
- Remediation steps
- Code fix examples"
6. Performance Review
To analyze code for performance issues:
codex --full-auto exec "Analyze the codebase for performance issues:
1. **Algorithm Complexity**
- O(n^2) or worse operations
- Unnecessary nested loops
- Inefficient data structures
2. **Resource Usage**
- Memory leaks
- Unclosed resources
- Large object allocations
3. **I/O Operations**
- N+1 query patterns
- Synchronous blocking calls
- Missing caching opportunities
4. **Concurrency**
- Race conditions
- Deadlock potential
- Thread safety issues
Provide specific file locations and optimization suggestions."
7. Architecture Review
To review code architecture and design:
codex --full-auto exec "Review the codebase architecture:
1. **Design Patterns**
- Identify patterns in use
- Suggest missing patterns
- Flag anti-patterns
2. **SOLID Principles**
- Single Responsibility violations
- Open/Closed principle adherence
- Dependency Inversion issues
3. **Code Organization**
- Module boundaries
- Circular dependencies
- Coupling analysis
4. **Maintainability**
- Code duplication
- Complex functions (cyclomatic complexity)
- Missing abstractions
Provide architectural recommendations with examples."
Advanced Options
Model Selection
To use a specific model (if need to use the latest model - make sure do web search first to find the latest and most suitable model) for deeper analysis:
codex --full-auto exec --model gpt-5.1-codex "Perform thorough code review of src/..."
Reasoning Depth
To adjust reasoning effort (available: minimal, low, medium, high, xhigh):
Configure in ~/.codex/config.toml:
model_reasoning_effort = "high"
Output to File
To save review results:
codex --full-auto exec -o review_report.md "Review src/api/..."
JSON Output
To get structured JSON output for CI integration:
codex --full-auto exec --json "Review staged changes. Return JSON with structure:
{
\"summary\": \"...\",
\"files_reviewed\": [...],
\"issues\": [{\"severity\": \"...\", \"file\": \"...\", \"line\": N, \"message\": \"...\"}],
\"recommendations\": [...]
}" 2>/dev/null | jq '.item.content'
CI/CD Integration
To integrate code review in CI pipelines:
#!/bin/bash
# ci-review.sh
# Get changed files
CHANGED_FILES=$(git diff --name-only origin/main...HEAD)
if [ -z "$CHANGED_FILES" ]; then
echo "No files changed"
exit 0
fi
# Run codex review (--full-auto required for CI/headless operation)
codex --full-auto exec --skip-git-repo-check -o review.md "Review these changed files: $CHANGED_FILES
Provide a structured review. If any critical or high severity issues are found, clearly indicate BLOCKING_ISSUES=true at the end."
# Check for blocking issues
if grep -q "BLOCKING_ISSUES=true" review.md; then
echo "Critical issues found in code review"
cat review.md
exit 1
fi
echo "Code review passed"
exit 0
Prompt Templates
Standard Review Template
Review the following code changes. For each issue found:
1. **Location**: File path and line number
2. **Severity**: Critical / High / Medium / Low / Info
3. **Category**: Bug / Security / Performance / Style / Documentation
4. **Description**: Clear explanation of the issue
5. **Suggestion**: How to fix it with code example
Organize by severity, starting with Critical issues.
PR Approval Template
As a senior engineer, review this PR for merge readiness:
## Checklist
- [ ] Code correctness verified
- [ ] No security vulnerabilities
- [ ] Performance acceptable
- [ ] Error handling complete
- [ ] Tests adequate
- [ ] Documentation updated
## Issues Found
[List any blocking or non-blocking issues]
## Verdict
[APPROVE / REQUEST_CHANGES with specific required changes]
Best Practices
- Be specific: Narrow the scope of reviews for better results
- Use context: Provide relevant context about the codebase or require
Content truncated.
When not to use it
- →Performing code changes in a different IDE
- →Reviewing code without internet for documentation validation
Prerequisites
Limitations
- →Requires web search for dependency version verification
- →Must use --full-auto to avoid interactive prompts
How it compares
It enforces a headless, automated execution flow specifically designed for CLI-based CI pipelines.
Compared to similar skills
codex-code-review side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| codex-code-review (this skill) | 1 | 8mo | Review | Intermediate |
| dead-code | 1 | 7mo | Review | Intermediate |
| moai-foundation-quality | 0 | 3mo | No flags | Advanced |
| verification-loop | 0 | 4mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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