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Codex Review

  • 289 installs
  • 706 repo stars
  • Updated July 14, 2026
  • alinaqi/claude-bootstrap

codex-review is a Claude Code agent skill that runs OpenAI Codex CLI code review with GPT-5.2-Codex on diffs and pull requests for developers who want a secondary review engine before merge.

About

codex-review is an alinaqi/claude-bootstrap skill that delegates specialized code review to OpenAI's Codex CLI using GPT-5.2-Codex, a model trained for bug detection, security flaws, and quality issues. The SKILL.md positions it for multi-engine review alongside Claude Code sessions and documents CI/CD integration paths referencing the Codex CLI and OpenAI code review cookbook. Developers invoke it when requesting Codex-powered review or comparing findings across review engines on bootstrap repos. The skill is user-invocable with medium effort, making it a deliberate pre-merge gate rather than ambient linting. Reach for codex-review when a PR needs a second opinion on logic regressions, security gaps, or style drift that a primary agent might miss. It complements—not replaces—existing test suites and static analyzers by applying LLM reasoning to full diff context.

  • Triggers Codex review on staged or PR diffs
  • Surfaces bugs, edge cases, and maintainability concerns
  • Provides a second-opinion gate before merge
  • Standardizes review prompts for bootstrap projects
  • Reduces single-model blind spots in AI-assisted coding

Codex Review by the numbers

  • 289 all-time installs (skills.sh)
  • Ranked #283 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/alinaqi/claude-bootstrap --skill codex-review

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Listed on Skillselion
Installs289
repo stars706
Last updatedJuly 14, 2026
Repositoryalinaqi/claude-bootstrap

How do you run Codex-powered code review on a PR?

Run a secondary Codex-powered code review on diffs and PRs to catch logic gaps, style issues, and regressions before merge in bootstrap repos.

Who is it for?

Developers using alinaqi/claude-bootstrap who want GPT-5.2-Codex as a second review pass on diffs before merging.

Skip if: Repositories without OpenAI Codex CLI access or teams that only need fast lint fixes without deep diff analysis.

When should I use this skill?

The user requests Codex-powered code review, multi-engine review, or a secondary review pass on a diff or PR.

What you get

A Codex CLI review report with bug, security, and code-quality findings on the submitted diff or pull request.

  • Codex review findings report
  • pre-merge quality feedback

By the numbers

  • Uses GPT-5.2-Codex via OpenAI Codex CLI for specialized code review

Files

SKILL.mdMarkdownGitHub ↗

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?

FeatureBenefit
GPT-5.2-CodexSpecialized training for code review
88% detection rateBugs, security flaws, style issues (LiveCodeBench)
Structured outputJSON schema for consistent findings
GitHub native@codex review in PR comments
Headless modeCI/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

PresetUse Case
Review against base branchBefore opening PR - diffs against upstream
Review uncommitted changesBefore committing - staged + unstaged + untracked
Review a commitAnalyze specific SHA from history
Custom instructionse.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

AspectClaude (Built-in)Codex CLI
SetupNone (already in Claude Code)Install CLI + auth
ModelClaudeGPT-5.2-Codex (specialized)
ContextFull conversation contextFresh context per review
IntegrationNativeGitHub, GitLab, Jenkins
OutputMarkdownJSON schema support
Best forQuick reviews, in-flowCI/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

IssueSolution
codex: command not foundRun npm install -g @openai/codex
Node.js version errorUpgrade to Node.js 22+
Authentication failedRe-run codex and sign in again
API key invalidCheck OPENAI_API_KEY env var
Timeout in CIAdd --timeout 300 flag
Rate limitedReduce 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

Related skills

How it compares

Pick codex-review when you want a Codex-specific second opinion on diffs rather than relying solely on Claude Code or static linters.

FAQ

Which model does codex-review use for analysis?

codex-review uses OpenAI Codex CLI with GPT-5.2-Codex, a model trained specifically for detecting bugs, security flaws, and code quality issues. The skill references the Codex CLI documentation and OpenAI code review cookbook for setup.

When should codex-review run in a workflow?

codex-review should run when a user requests Codex-powered review or multi-engine review on diffs and pull requests before merge. The SKILL.md marks it user-invocable with medium effort, making it a deliberate pre-merge quality gate.

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