Codex Code Review

VerifiedCaution

Review code changes, implementation plans, or specific files using OpenAI Codex CLI. Perfect for maker-checker workflows.

Sby Skills Guide Bot
DevelopmentIntermediate
7/28/2026
Claude CodeCodex
#code-review#codex-cli#maker-checker#qa#workflow

Recommended for

Automated summary

Leverages the Codex CLI to independently review code changes made during a Claude Code session, enabling a proposer-checker workflow.

Strengths

  • Provides an independent review by a second AI agent, increasing confidence in changes.
  • Seamlessly integrates with Git to review uncommitted changes, specific commits, or branch diffs.
  • Can also analyze individual files or implementation plans before coding.

Limitations

  • Requires prior installation and configuration of the Codex CLI and a valid OpenAI API key.
  • Feedback is limited to what Codex can analyze without full project context.
  • Is not real-time and does not replace an in-depth human code review.
When to use it

Use this skill when you want an automated second opinion on code changes before committing, especially in a maker-checker workflow that demands independent verification.

When not to use it

Avoid this skill if the Codex CLI is not set up or if you need continuous review during live development sessions.

Security analysis

Caution
Quality score85/100

Uses Bash to call Codex CLI, which makes network requests to OpenAI. It is a legitimate code review tool and not inherently destructive, but the network activity and use of external commands warrant a caution rating.

No concerns found

How this analysis is made

Examples

Review uncommitted changes
Review the uncommitted changes in this repository using Codex CLI.
Review a specific file
Review the code in src/auth.ts using Codex CLI.
Review implementation plan
Review this implementation plan for user authentication: [plan details]

name: codex description: Review code changes, implementation plans, or specific files using OpenAI Codex CLI. Triggers on "review", "check", "validate", "codex". Perfect for maker-checker workflows where you want a second AI agent to review Claude's work before committing. Requires the Codex CLI to be installed (brew install codex-cli or from https://codex.storage.googleapis.com). allowed-tools:

  • Bash
  • Read

Codex Code Review Skill

Version: 1.0.0 Author: Community-contributed Requires: Codex CLI installed and configured

Overview

Use the Codex CLI to perform independent code reviews on changes made during your Claude Code session. This enables a "proposer-checker-maker-checker" workflow where Claude Code proposes/implements changes and Codex provides an independent review.

Prerequisites

Install the Codex CLI:

brew install codex-cli
# OR download from https://codex.storage.googleapis.com

Configure your OpenAI API key:

codex login

Use the Codex CLI to review recent changes, implementation plans, or specific files.

Review Recent Git Changes

# Review uncommitted changes
codex review "Review the uncommitted changes in this repo"

# Review specific commit
codex review "Review the changes in commit <hash>"

# Review changes between branches
codex review "Review the diff between main and current branch"

Review Specific Files

# Review a specific file
codex review "Review the code in <file_path>"

# Review multiple files
codex review "Review the implementation in <file1> and <file2>"

Review Implementation Plan

# Review a plan before implementation
codex review "Review this implementation plan: <plan_content>"

Usage Pattern

  1. Identify what needs review (recent changes, specific files, or a plan)
  2. Run codex review with appropriate prompt
  3. Present the review results to the user

The codex review command runs non-interactively and returns feedback that can be incorporated into the Claude Code session.

Workflow Example

User: I just implemented user authentication
Claude: [implements auth.ts, auth-middleware.ts, etc.]
User: /codex
Claude: [runs: codex review --uncommitted]
Claude: Codex found 2 issues:
  1. Missing error handling in auth.ts:45
  2. Password hash strength could be improved
User: Fix those issues
Claude: [fixes issues]
User: /codex
Claude: [runs review again]
Claude: Codex approves! No issues found.

Notes

  • Works best in git repositories
  • Review results are shown inline in the Claude Code session
  • Combines well with Claude's implementation capabilities for a robust development workflow

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/codex-code-review-ms47von6/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/codex-code-review-ms47von6' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/codex-code-review-ms47von6/download' --output '.skill-downloads/codex-code-review-ms47von6/SKILL.md.part' && mv '.skill-downloads/codex-code-review-ms47von6/SKILL.md.part' '.skill-downloads/codex-code-review-ms47von6/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

Original excerpt: Prerequisites

Install the Codex CLI:

brew install codex-cli
# OR download from https://codex.storage.googleapis.com

Configure your OpenAI API key:

codex login

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/codex-code-review-ms47von6/SKILL.md' && test -s '.skill-downloads/codex-code-review-ms47von6/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/codex' && cp -R '.skill-downloads/codex-code-review-ms47von6' '.claude/skills/codex'

Codex
test -f '.skill-downloads/codex-code-review-ms47von6/SKILL.md' && test -s '.skill-downloads/codex-code-review-ms47von6/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/codex' && cp -R '.skill-downloads/codex-code-review-ms47von6' '.agents/skills/codex'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/codex-code-review-ms47von6'

openskills read 'codex-code-review-ms47von6'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/codex-code-review-ms47von6/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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