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    alinaqi

    codex-review

    alinaqi/codex-review
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    SKILL.md

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    About

    OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration

    SKILL.md

    OpenAI Codex Code Review Skill

    Use OpenAI's Codex CLI for specialized code review with GPT-5.2-Codex - trained specifically for detecting bugs, security flaws, and code quality issues.

    Sources: Codex CLI | GitHub | Code Review Cookbook


    Why Codex for Code Review?

    Feature Benefit
    GPT-5.2-Codex Specialized training for code review
    88% detection rate Bugs, security flaws, style issues (LiveCodeBench)
    Structured output JSON schema for consistent findings
    GitHub native @codex review in PR comments
    Headless mode CI/CD automation without TUI

    Installation

    Prerequisites

    # Check Node.js version (requires 22+)
    node --version
    
    # Install Node.js 22 if needed
    # macOS
    brew install node@22
    
    # Or via nvm
    nvm install 22
    nvm use 22
    

    Install Codex CLI

    # Via npm (recommended)
    npm install -g @openai/codex
    
    # Via Homebrew (macOS)
    brew install --cask codex
    
    # Verify installation
    codex --version
    

    Authentication

    Option 1: ChatGPT Subscription (Plus, Pro, Team, Edu, Enterprise)

    codex
    # Follow prompts to sign in with ChatGPT account
    

    Option 2: OpenAI API Key

    # Set environment variable
    export OPENAI_API_KEY=sk-proj-...
    
    # Or add to shell profile
    echo 'export OPENAI_API_KEY=sk-proj-...' >> ~/.zshrc
    
    # Run Codex
    codex
    

    Shell Completions (Optional)

    # Bash
    codex completion bash >> ~/.bashrc
    
    # Zsh
    codex completion zsh >> ~/.zshrc
    
    # Fish
    codex completion fish > ~/.config/fish/completions/codex.fish
    

    Interactive Code Review

    Launch Review Mode

    # Start Codex
    codex
    
    # In the TUI, type:
    /review
    

    Review Presets

    Preset Use Case
    Review against base branch Before opening PR - diffs against upstream
    Review uncommitted changes Before committing - staged + unstaged + untracked
    Review a commit Analyze specific SHA from history
    Custom instructions e.g., "Focus on security vulnerabilities"

    Example Session

    $ codex
    > /review
    
    Select review type:
    ❯ Review against a base branch
      Review uncommitted changes
      Review a commit
      Custom review instructions
    
    Select base branch: main
    
    Reviewing changes...
    
    ┌─────────────────────────────────────────────────────────────┐
    │ CODE REVIEW FINDINGS                                        │
    ├─────────────────────────────────────────────────────────────┤
    │ 🔴 CRITICAL: SQL Injection vulnerability                    │
    │    File: src/api/users.ts:45                                │
    │    Issue: User input directly interpolated in query         │
    │    Fix: Use parameterized queries                           │
    ├─────────────────────────────────────────────────────────────┤
    │ 🟠 HIGH: Missing authentication check                       │
    │    File: src/api/admin.ts:23                                │
    │    Issue: Admin endpoint accessible without auth            │
    │    Fix: Add requireAuth middleware                          │
    ├─────────────────────────────────────────────────────────────┤
    │ 🟡 MEDIUM: Inefficient database query                       │
    │    File: src/services/orders.ts:89                          │
    │    Issue: N+1 query pattern in loop                         │
    │    Fix: Use batch query or JOIN                             │
    └─────────────────────────────────────────────────────────────┘
    

    Headless Mode (Automation)

    Basic Usage

    # Simple review
    codex exec "review the code for bugs and security issues"
    
    # Review with JSON output
    codex exec --json "review uncommitted changes" > review.json
    
    # Save final message to file
    codex exec --output-last-message review.txt "review the diff against main"
    

    Full Automation (CI/CD)

    # Full auto mode (use only in isolated runners!)
    codex exec \
      --full-auto \
      --json \
      --output-last-message findings.txt \
      --sandbox read-only \
      -m gpt-5.2-codex \
      "Review this code for bugs, security issues, and performance problems"
    

    Structured Output with Schema

    # Define output schema
    cat > review-schema.json << 'EOF'
    {
      "type": "object",
      "properties": {
        "findings": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "severity": { "enum": ["critical", "high", "medium", "low"] },
              "title": { "type": "string" },
              "file": { "type": "string" },
              "line": { "type": "integer" },
              "description": { "type": "string" },
              "suggestion": { "type": "string" }
            },
            "required": ["severity", "title", "file", "description"]
          }
        },
        "summary": { "type": "string" },
        "approved": { "type": "boolean" }
      },
      "required": ["findings", "summary", "approved"]
    }
    EOF
    
    # Run with schema validation
    codex exec \
      --output-schema review-schema.json \
      --output-last-message review.json \
      "Review the staged changes and output findings"
    

    GitHub Integration

    Option 1: PR Comment Trigger

    In any pull request, add a comment:

    @codex review
    

    Codex will respond with a standard GitHub code review.

    Option 2: GitHub Action

    # .github/workflows/codex-review.yml
    name: Codex Code Review
    
    on:
      pull_request:
        types: [opened, synchronize]
    
    jobs:
      review:
        runs-on: ubuntu-latest
        permissions:
          contents: read
          pull-requests: write
    
        steps:
          - uses: actions/checkout@v4
            with:
              fetch-depth: 0
    
          - name: Codex Review
            uses: openai/codex-action@main
            with:
              openai_api_key: ${{ secrets.OPENAI_API_KEY }}
              model: gpt-5.2-codex
              safety_strategy: drop-sudo
    

    Option 3: Manual Headless in CI

    # .github/workflows/codex-review.yml
    name: Codex Code Review
    
    on:
      pull_request:
    
    jobs:
      review:
        runs-on: ubuntu-latest
        steps:
          - uses: actions/checkout@v4
            with:
              fetch-depth: 0
    
          - uses: actions/setup-node@v4
            with:
              node-version: '22'
    
          - name: Install Codex CLI
            run: npm install -g @openai/codex
    
          - name: Run Review
            env:
              OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
            run: |
              # Get diff
              git diff origin/${{ github.base_ref }}...HEAD > diff.txt
    
              # Run Codex review
              codex exec \
                --full-auto \
                --sandbox read-only \
                --output-last-message review.md \
                "Review this git diff for bugs, security issues, and code quality: $(cat diff.txt)"
    
          - name: Post Review Comment
            uses: actions/github-script@v7
            with:
              script: |
                const fs = require('fs');
                const review = fs.readFileSync('review.md', 'utf8');
                github.rest.issues.createComment({
                  owner: context.repo.owner,
                  repo: context.repo.repo,
                  issue_number: context.issue.number,
                  body: `## 🤖 Codex Code Review\n\n${review}`
                });
    

    GitLab CI/CD

    # .gitlab-ci.yml
    codex-review:
      image: node:22
      stage: review
      script:
        - npm install -g @openai/codex
        - |
          codex exec \
            --full-auto \
            --sandbox read-only \
            --output-last-message review.md \
            "Review the merge request changes for bugs and security issues"
        - cat review.md
      artifacts:
        paths:
          - review.md
      rules:
        - if: $CI_PIPELINE_SOURCE == "merge_request_event"
    

    Jenkins Pipeline

    pipeline {
        agent any
    
        environment {
            OPENAI_API_KEY = credentials('openai-api-key')
        }
    
        stages {
            stage('Install Codex') {
                steps {
                    sh 'npm install -g @openai/codex'
                }
            }
    
            stage('Code Review') {
                steps {
                    sh '''
                        codex exec \
                          --full-auto \
                          --sandbox read-only \
                          --output-last-message review.md \
                          "Review the code changes for bugs and security issues"
                    '''
                }
            }
    
            stage('Publish Results') {
                steps {
                    archiveArtifacts artifacts: 'review.md'
                    script {
                        def review = readFile('review.md')
                        echo "Code Review Results:\n${review}"
                    }
                }
            }
        }
    }
    

    Configuration

    Config File

    # ~/.codex/config.toml
    
    [model]
    default = "gpt-5.2-codex"  # Best for code review
    
    [sandbox]
    default = "read-only"  # Safe for reviews
    
    [review]
    # Custom review instructions applied to all reviews
    instructions = """
    Focus on:
    1. Security vulnerabilities (OWASP Top 10)
    2. Performance issues (N+1 queries, memory leaks)
    3. Error handling gaps
    4. Type safety issues
    """
    

    Per-Project Config

    # .codex/config.toml (in project root)
    
    [review]
    instructions = """
    This is a Python FastAPI project. Focus on:
    - Async/await correctness
    - Pydantic model validation
    - SQL injection via SQLAlchemy
    - Authentication/authorization gaps
    """
    

    CLI Quick Reference

    # Interactive
    codex                          # Start TUI
    /review                        # Open review presets
    
    # Headless
    codex exec "prompt"            # Non-interactive execution
    codex exec --json "prompt"     # JSON output
    codex exec --full-auto "prompt"  # No approval prompts
    
    # Key Flags
    --output-last-message FILE     # Save response to file
    --output-schema FILE           # Validate against JSON schema
    --sandbox read-only            # Restrict file access
    -m gpt-5.2-codex              # Use best review model
    --json                         # Machine-readable output
    
    # Resume
    codex exec resume SESSION_ID   # Continue previous session
    

    Comparison: Claude vs Codex Review

    Aspect Claude (Built-in) Codex CLI
    Setup None (already in Claude Code) Install CLI + auth
    Model Claude GPT-5.2-Codex (specialized)
    Context Full conversation context Fresh context per review
    Integration Native GitHub, GitLab, Jenkins
    Output Markdown JSON schema support
    Best for Quick reviews, in-flow CI/CD, critical PRs

    Security Considerations

    CI/CD Safety

    # Always use these flags in CI/CD:
    --sandbox read-only           # Prevent file modifications
    --safety-strategy drop-sudo   # Revoke elevated permissions
    

    API Key Protection

    # GitHub Actions - use secrets
    env:
      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
    
    # Never hardcode keys
    # Never echo keys in logs
    

    Public Repositories

    For public repos, use drop-sudo safety strategy to prevent Codex from reading its own API key during execution.


    Troubleshooting

    Issue Solution
    codex: command not found Run npm install -g @openai/codex
    Node.js version error Upgrade to Node.js 22+
    Authentication failed Re-run codex and sign in again
    API key invalid Check OPENAI_API_KEY env var
    Timeout in CI Add --timeout 300 flag
    Rate limited Reduce frequency or upgrade plan

    Anti-Patterns

    • Using --dangerously-bypass-approvals-and-sandbox casually - Only in isolated CI runners
    • Exposing API keys in logs - Use secrets management
    • Skipping sandbox in CI - Always use --sandbox read-only
    • Ignoring findings - Review and address or document exceptions
    • Running on every commit - Use on PRs only to save costs
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