codex-cli
Invoke OpenAI Codex CLI for second-opinion code review, approach validation, and task verification. Use when you need cross-AI validation, a fresh perspective on implementation, or automated code review. Takes 1-10 minutes per request.
npx skills add majiayu000/claude-skill-registry --skill codex-cli-alexandrbasis-wythm-claude-workflo --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Codex CLI Integration Skill This skill enables Claude Code to invoke OpenAI Codex CLI (gpt-5.3-codex with high reasoning) for one-shot code review, approach validation, and cross-AI verification. ## When to Use This Skill ### Ideal Use Cases 1. **Second Opinion / Cross-Validation** - Verify your implementation approach before writing code - Get a different AI perspective on your solution - Validate architectural decisions 2. **Code Review** - Review uncommitted changes before commit - Review changes against a base branch before PR - Security-focused code review 3. **Task Verification** - Confirm implementation meets requirements - Validate that refactoring preserved behavior - Check for missed edge cases 4. **Approach Validation** - Before starting complex implementation - When choosing between multiple approaches - For architectural decisions ### When NOT to Use - Simple, quick tasks (overhead not worth 1-10 min wait) - Tasks requiring interactive conversation/refinement - When immediate response is critical - Trivial changes (typos, formatting) ## Core Commands ### Approach Validation ```bash codex exec "Review this approach: [description]. Is it sound? What are the tradeoffs?"
- When to Use This Skill
- Ideal Use Cases
- When NOT to Use
- Core Commands
- Approach Validation
- Code Review - Uncommitted Changes
- Code Review - Against Branch
- Custom Analysis
- Important Notes
- Output Handling Best Practice
- For codex exec (custom prompts)
- For codex exec review (no -o flag support)
- Workflow
- Critical: Provide File Paths in Prompts
codex exec review --uncommitted -m gpt-5.3-codex --full-auto > /tmp/codex-review.md 2>&1 codex exec review --base main -m gpt-5.3-codex --full-auto > /tmp/codex-review.md 2>&1 codex exec "[prompt]" -m gpt-5.3-codex --full-auto -o /tmp/codex-result.md > /dev/null 2>&1 && echo "Codex completed" Run with output file + suppress verbose stdout codex exec "prompt" -m gpt-5.3-codex --full-auto -o /tmp/codex-result.md > /dev/null 2>&1 && echo "Codex completed" Redirect all output to file codex exec "Review the task specification at tasks/task-2026-01-09-feature/tech-decomposition.md Is the implementation plan complete? Any gaps or risks?" -m gpt-5.3-codex --full-auto -o /tmp/codex-result.md > /dev/null 2>&1 codex exec "Review implementation in these files: Check against requirements in: tasks/task-2026-01-09-feature/tech-decomposition.md" -m gpt-5.3-codex --full-auto -o /tmp/codex-result.md > /dev/null 2>&1
What does the codex-cli skill do?
Invoke OpenAI Codex CLI for second-opinion code review, approach validation, and task verification. Use when you need cross-AI validation, a fresh perspective on implementation, or automated code review. Takes 1-10 minutes per request.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill codex-cli-alexandrbasis-wythm-claude-workflo --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.