Integrate OpenAI Codex CLI into Claude Code for AI collaboration, code generation, and automated development.

MITAuto-check passedDevelopment

Install Codex CLI

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill codex-cli -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry codex-cli --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-llm/codex-cli-adaptationio-skrillz .claude/skills/codex-cli && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
codex-cli
GitHub stars
666
Used in
1 other repo
Token cost
~4.2k tokens
SKILL.md length
306 words
Files
2
Skills in repo
971
Repo updated
First seen
Licence
MIT

At a glance

Integrate OpenAI Codex CLI into Claude Code for AI collaboration, code generation, and automated development.

  • Works in 3 steps: Install Codex CLI → Setup Authentication → Basic Usage
  • Working with OpenAI models (GPT-5.2
  • SKILL.md covers When to Use, Quick Start, Full Automation Mode - MAXIMUM… and Available Models (December 2025), plus 3 more sections
  • Calls codex, git and jq; needs OPENAI_API_KEY

What it does

Codex CLI is an agent skill from majiayu000/claude-skill-registry. Integrate OpenAI Codex CLI into Claude Code for AI collaboration, code generation, and automated development. Use when working with OpenAI models (GPT-5.2, GPT-5.1-Codex-Max, o3, o4-mini), code refactoring, git workflows, or needing full automation with permission bypass.

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in Development, covering Git workflow and Refactoring. It works with OpenAI. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

  • Working with OpenAI models (GPT-5.2
  • GPT-5.1-Codex-Max
  • Code refactoring
  • Needing full automation with permission bypass

Example prompts

  • “/codex-cli”

Requirements

  • Node.js
  • A credential in OPENAI_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Install Codex CLI
  2. Setup Authentication
  3. Basic Usage

What it can do on your machine

Read from SKILL.md and the folder at commit 000116a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • codex
    • git
    • jq
    • npm
    • brew

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git and npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Codex CLI loads about 4.2k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 306 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 000116a, republished under its MIT licence (© majiayu000). 306 words, ~4,235 tokens.

Download SKILL.mdSave it as .claude/skills/codex-cli/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
codex-cli
description
Integrate OpenAI Codex CLI into Claude Code for AI collaboration, code generation, and automated development. Use when working with OpenAI models (GPT-5.2, GPT-5.1-Codex-Max, o3, o4-mini), code refactoring, git workflows, or needing full automation with permission bypass.

OpenAI Codex CLI Integration

Integrates OpenAI's Codex CLI into Claude Code, enabling seamless AI collaboration between Claude and Codex for enhanced development workflows.

Last Updated: December 2025 (GPT-5.2 Release)

When to Use

  • Working with OpenAI models (GPT-5.2, GPT-5.1-Codex-Max, o3, o4-mini)
  • Code generation and refactoring with latest models
  • Git-aware workflows and PR reviews
  • Full automation with permission bypass
  • Reasoning-first development (o3 models, GPT-5.2 with xhigh reasoning)
  • Multimodal tasks (code + images)
  • Sandboxed execution environments
  • Long-context tasks (400K tokens with GPT-5.2)

Quick Start

1. Install Codex CLI
bash
# Check current installation
codex --version

# Install/Update globally via NPM
npm install -g @openai/codex

# Or use Homebrew (macOS/Linux)
brew install openai/tap/codex-cli
2. Setup Authentication
bash
# Login with ChatGPT account
codex login
# Opens browser for OAuth authentication
# Includes GPT-5-Codex access with subscription
Option B: API Key
bash
# Set OpenAI API key
export OPENAI_API_KEY="your-api-key-here"

# Or create config file
mkdir -p ~/.codex
echo 'api_key = "your-api-key-here"' > ~/.codex/config.toml
3. Basic Usage
bash
# Direct execution (like gemini -p)
codex exec "Analyze this codebase and suggest improvements"

# Full automation (BYPASS ALL APPROVALS)
codex exec --dangerously-bypass-approvals-and-sandbox "Refactor authentication module"

# Safe automation (sandboxed)
codex exec --full-auto "Generate tests for all functions"

# Interactive mode
codex "Let's work on improving this code"

# With specific model (December 2025)
codex exec -m gpt-5.2 "Complex task with latest model"
codex exec -m gpt-5.1-codex-max "Best for agentic coding (default)"
codex exec -m o3 "Deep reasoning task"
codex exec -m o4-mini "Quick code generation"

Full Automation Mode - MAXIMUM POWER

--dangerously-bypass-approvals-and-sandbox - Complete automation, zero friction:

✅ When to Use Bypass Mode
bash
# Trusted, repeatable workflows
codex exec --dangerously-bypass-approvals-and-sandbox "Add JSDoc comments to all ./src functions"

# Automated testing workflows
codex exec --dangerously-bypass-approvals-and-sandbox "Run tests and auto-fix all failures"

# Bulk operations
codex exec --dangerously-bypass-approvals-and-sandbox "Convert all .js files to TypeScript"

# CI/CD pipelines (externally sandboxed)
codex exec --dangerously-bypass-approvals-and-sandbox "Deploy to staging environment"
⚠️ Safer Automation Options
bash
# --full-auto: Sandboxed with workspace write access
codex exec --full-auto "Refactor module safely"

# Custom approval + sandbox
codex exec -a never -s workspace-write "Controlled automation"

# On-failure approval (runs until error)
codex exec -a on-failure "Try operations, escalate on error"
Approval Policies
bash
# -a never: Full automation (no approvals)
codex exec -a never "Complete workflow automation"

# -a on-request: Model decides when to ask
codex exec -a on-request "Intelligent approval requests"

# -a on-failure: Only ask if command fails
codex exec -a on-failure "Run until failure, then ask"

# -a untrusted: Only run trusted commands (default)
codex exec -a untrusted "Safe, limited automation"
Sandbox Modes
bash
# -s read-only: Cannot modify files
codex exec -s read-only "Analysis only, no changes"

# -s workspace-write: Can modify workspace
codex exec -s workspace-write "Safe file modifications"

# -s danger-full-access: Full system access
codex exec -s danger-full-access "Complete control (use carefully)"

Available Models (December 2025)

GPT-5.2 Series (NEW - December 11, 2025)
bash
# GPT-5.2 Thinking - Latest frontier model
# 400K context, 128K output, knowledge cutoff Aug 31, 2025
# Pricing: $1.75/1M input, $14/1M output (90% cached discount)
codex exec -m gpt-5.2 "Complex multi-step task with deep reasoning"

# GPT-5.2 Instant - Speed optimized for routine queries
codex exec -m gpt-5.2-chat-latest "Fast information seeking and writing"

# GPT-5.2 Pro - Maximum accuracy (Responses API only)
# Pricing: $21/1M input, $168/1M output
# Supports reasoning.effort: medium, high, xhigh
codex exec -m gpt-5.2-pro "Critical high-accuracy tasks"
bash
# GPT-5.1-Codex-Max - DEFAULT for Codex CLI
# Best for agentic coding with native compaction support
codex exec -m gpt-5.1-codex-max "Complex development workflows"

# GPT-5.1-Codex - Optimized for long-running agentic tasks
codex exec -m gpt-5.1-codex "Extended coding sessions"

# GPT-5.1-Codex-Mini - Cost-efficient coding
codex exec -m gpt-5.1-codex-mini "Quick code tasks"
Legacy GPT-5 Series
bash
# GPT-5 - General model (use GPT-5.2 for latest)
codex exec -m gpt-5 "General tasks"

# GPT-5-Codex - Previous coding model
codex exec -m gpt-5-codex "Code generation"
o-Series (Reasoning Models)
bash
# o3 - Smartest reasoning model
codex exec -m o3 "Complex architectural decisions"

# o4-mini - Efficient reasoning
codex exec -m o4-mini "Quick reasoning tasks"
New GPT-5.2 Features
bash
# Extended reasoning with xhigh effort (GPT-5.2 Pro/Thinking)
codex exec -m gpt-5.2-pro --reasoning-effort xhigh "Maximum accuracy task"

# Context compaction for long sessions
codex exec -m gpt-5.2 --compact "Long document analysis"

# Concise reasoning summaries
codex exec -m gpt-5.2 --concise-reasoning "Explain this code"

Claude + Codex Collaboration Patterns

Claude orchestrates, Codex executes - The Think-Act-Observe Loop:

Structured Workflows
bash
#!/bin/bash
# Claude directs Codex for complete feature development

# THINK: Claude analyzes requirements
echo "Goal: Add user profile caching"

# ACT: Codex researches best practices (with web search)
codex exec --search --dangerously-bypass-approvals-and-sandbox \
  "Research Redis caching patterns and create implementation plan" \
  > plan.md

# OBSERVE: Claude reviews the plan
cat plan.md

# ACT: Codex implements (full automation)
codex exec --dangerously-bypass-approvals-and-sandbox --json \
  "Implement the caching system according to @plan.md" \
  > implementation.json

# OBSERVE: Claude verifies
jq '.changes[]' implementation.json

# ACT: Codex tests
codex exec --dangerously-bypass-approvals-and-sandbox \
  "Generate and run comprehensive tests"

# Loop continues...
JSON Output for AI Parsing
bash
# Get structured output for Claude to parse
codex exec --json "List all exported functions in ./src" > functions.json

# Claude processes reliably
for func in $(jq -r '.functions[].name' functions.json); do
  echo "Processing: $func"
  codex exec --dangerously-bypass-approvals-and-sandbox \
    "Add input validation to $func function"
done
Sequential Task Decomposition
bash
#!/bin/bash
# Claude breaks down complex goal into safe atomic steps

echo "=== Feature: Add OAuth2 Authentication ==="

# Step 1: Research (safe, read-only)
codex exec --search --full-auto "Research OAuth2 best practices 2025" > research.md

# Step 2: Plan (Claude reviews)
codex exec "Create detailed OAuth2 implementation plan based on @research.md"
read -p "Review plan. Continue? [y/N] " -r

# Step 3: Install dependencies
codex exec --dangerously-bypass-approvals-and-sandbox "Install OAuth2 packages"

# Step 4: Generate code
codex exec --dangerously-bypass-approvals-and-sandbox \
  "Generate OAuth2 auth module according to plan"

# Step 5: Tests
codex exec --dangerously-bypass-approvals-and-sandbox \
  "Generate comprehensive OAuth2 tests"

# Step 6: Verify
codex exec --dangerously-bypass-approvals-and-sandbox "Run all tests and fix failures"

Advanced Features

Web Search Integration
bash
# Enable web search for research
codex exec --search --dangerously-bypass-approvals-and-sandbox \
  "Research latest React 19 features and create migration guide"

# Research-driven development
codex exec --search --full-auto \
  "Find best practices for microservices and implement API gateway"
Multimodal (Code + Images)
bash
# Attach design screenshots
codex exec -i design.png --dangerously-bypass-approvals-and-sandbox \
  "Implement this UI design in React"

# Multiple images
codex exec -i mockup1.png -i mockup2.png --full-auto \
  "Compare these designs and implement the better approach"
Git-Aware Workflows
bash
# Apply Codex changes as git patch
codex apply
# or
codex a

# Work on git branch
git checkout -b feature/new-auth
codex exec --dangerously-bypass-approvals-and-sandbox \
  "Implement authentication with clean commits"

# Codex respects .gitignore and git history
Resume Sessions
bash
# Resume last session
codex exec resume --last

# Pick from previous sessions
codex resume
Configuration Profiles
bash
# Create profile in ~/.codex/config.toml
[profiles.auto-dev]
model = "gpt-5.1-codex"
ask_for_approval = "never"
sandbox = "workspace-write"
search = true

# Use profile
codex exec -p auto-dev "Develop new feature automatically"
MCP Server Integration
bash
# Run as MCP server
codex mcp

# Manage MCP servers (experimental)
codex mcp list
codex mcp add <server-name>

Core Workflows

Automated Code Generation
bash
#!/bin/bash
# Complete automation for code generation

generate_api() {
  local spec="$1"

  codex exec --dangerously-bypass-approvals-and-sandbox \
    --json \
    --search \
    "Read API specification @$spec and generate:
    1. Data models with validation
    2. API endpoints with OpenAPI docs
    3. Database migrations
    4. Comprehensive tests
    5. Error handling middleware
    6. Authentication middleware
    7. Rate limiting
    8. API documentation"
}

# Usage
generate_api "./specs/user-api.yaml"
Automated Refactoring
bash
#!/bin/bash
# Safe, automated refactoring workflow

refactor_module() {
  local module="$1"

  # Backup first
  git stash push -m "pre-refactor-$(date +%s)"

  # Full automation with git safety
  codex exec --dangerously-bypass-approvals-and-sandbox \
    "Refactor $module:
    1. Analyze current code structure
    2. Identify improvements
    3. Apply modern patterns
    4. Add comprehensive tests
    5. Run all tests
    6. Fix any test failures
    7. Update documentation
    8. Create clean git commits"

  if [ $? -eq 0 ]; then
    echo "Refactoring complete!"
  else
    git stash pop
    echo "Refactoring failed, restored backup"
  fi
}

# Usage
refactor_module "./src/auth"
Test Generation & Fixing
bash
#!/bin/bash
# Automated test generation and fixing

automate_testing() {
  local target="$1"

  codex exec --dangerously-bypass-approvals-and-sandbox \
    "Complete testing workflow for $target:
    1. Analyze code coverage gaps
    2. Generate comprehensive unit tests
    3. Generate integration tests
    4. Generate end-to-end tests
    5. Run all tests
    6. Fix any failing tests
    7. Achieve 100% coverage
    8. Generate test report"
}

# Usage
automate_testing "./src"
CI/CD Integration
yaml
# GitHub Actions with Codex
name: Codex Automation
on: [push, pull_request]

jobs:
  codex-review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '20'

      - name: Install Codex CLI
        run: npm install -g @openai/codex

      - name: Run Codex Analysis
        env:
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
        run: |
          codex exec --dangerously-bypass-approvals-and-sandbox \
            --json \
            "Analyze code changes, run tests, fix issues, generate report" \
            > codex-report.json

      - name: Upload Report
        uses: actions/upload-artifact@v3
        with:
          name: codex-analysis
          path: codex-report.json

Configuration

Config File (~/.codex/config.toml)
toml
# Default model (December 2025)
model = "gpt-5.1-codex-max"  # Best for agentic coding

# Approval policy
ask_for_approval = "on-request"  # or "never", "on-failure", "untrusted"

# Sandbox mode
sandbox = "workspace-write"  # or "read-only", "danger-full-access"

# Enable web search
search = true

# Additional writable directories
add_dirs = ["./docs", "./tests"]

# Feature flags
[features]
web_search = true
multimodal = true
mcp = true

# Profiles for different workflows
[profiles.safe]
ask_for_approval = "untrusted"
sandbox = "read-only"

[profiles.auto]
ask_for_approval = "never"
sandbox = "workspace-write"
search = true

[profiles.danger]
ask_for_approval = "never"
sandbox = "danger-full-access"
search = true

# NEW: GPT-5.2 optimized profiles
[profiles.gpt52]
model = "gpt-5.2"
ask_for_approval = "never"
sandbox = "workspace-write"
search = true

[profiles.gpt52-pro]
model = "gpt-5.2-pro"
reasoning_effort = "xhigh"
ask_for_approval = "on-request"
sandbox = "workspace-write"

[profiles.long-context]
model = "gpt-5.2"
ask_for_approval = "never"
sandbox = "workspace-write"
compact = true  # Enable context compaction
Environment Variables
bash
# Authentication
export OPENAI_API_KEY="your-key"

# Default model (December 2025)
export CODEX_MODEL="gpt-5.1-codex-max"  # For agentic coding
# export CODEX_MODEL="gpt-5.2"          # For general tasks with 400K context
# export CODEX_MODEL="gpt-5.2-pro"      # For maximum accuracy

# Default config path
export CODEX_CONFIG_PATH="~/.codex/config.toml"

# GPT-5.2 specific options
export CODEX_REASONING_EFFORT="high"  # medium, high, xhigh

Best Practices

Security with Bypass Mode

When using --dangerously-bypass-approvals-and-sandbox:

  1. Use in Controlled Environments

    • CI/CD with external sandboxing
    • Docker containers
    • Disposable development environments
  2. Always Have Backups

    bash
    git stash push -m "pre-codex-$(date +%s)"
    codex exec --dangerously-bypass-approvals-and-sandbox "task"
  3. Use Git for Safety

    • Work on feature branches
    • Review diffs before pushing
    • Use codex apply to review changes
  4. Limit Scope

    bash
    codex exec --dangerously-bypass-approvals-and-sandbox \
      -C ./specific/directory \
      "Only affect this directory"
Model Selection Strategy (December 2025)
bash
# Quick tasks: o4-mini or gpt-5.1-codex-mini
codex exec -m o4-mini "Format code with Prettier"
codex exec -m gpt-5.1-codex-mini "Quick code fixes"

# Standard development: gpt-5.1-codex-max (DEFAULT)
codex exec -m gpt-5.1-codex-max "Implement user authentication"

# Long-context tasks: gpt-5.2 (400K context)
codex exec -m gpt-5.2 "Analyze entire codebase"

# Complex reasoning: o3 or gpt-5.2-pro with xhigh
codex exec -m o3 "Design scalable microservices architecture"
codex exec -m gpt-5.2-pro --reasoning-effort xhigh "Critical architecture decisions"

# Speed-optimized: gpt-5.2-chat-latest (Instant)
codex exec -m gpt-5.2-chat-latest "Quick information retrieval"

# Maximum accuracy: gpt-5.2-pro
codex exec -m gpt-5.2-pro "High-stakes production code"
Performance Optimization
bash
# Use JSON for faster parsing
codex exec --json "task" | jq .

# Skip git checks if not needed
codex exec --skip-git-repo-check "task"

# Specify working directory
codex exec -C ./project "task"

# Use profiles to avoid repetitive flags
codex exec -p auto-dev "task"

Troubleshooting

Common Issues

Authentication Failed

bash
codex logout
codex login

Model Not Available

bash
# Check available models (December 2025)
codex exec -m gpt-5.2 "test" || echo "GPT-5.2 not available"

# Fall back to stable coding model
codex exec -m gpt-5.1-codex-max "task"

# Or use previous generation
codex exec -m gpt-5.1-codex "task"

Sandbox Errors

bash
# Try different sandbox mode
codex exec -s danger-full-access "task"

# Or bypass entirely (if safe)
codex exec --dangerously-bypass-approvals-and-sandbox "task"
  • codex-auth: Authentication and API key management
  • codex-chat: Interactive REPL workflows
  • codex-tools: Tool execution and file operations
  • codex-review: Code review and git workflows
  • codex-git: Git-aware development patterns

Updates

bash
# Update Codex CLI
npm update -g @openai/codex

# Check version
codex --version

# Check for new models
codex exec "What models are available?"

Created for Claude Code - Full automation for AI-to-AI collaboration

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/ai-llm/codex-cli-adaptationio-skrillz of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 000116a

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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    Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.

    666 GitHub starsUsed in 4 repos~619 tokens
    Auto-check: notes
  • Bio Alignment Pairwise

    majiayu000/claude-skill-registry

    Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.

    666 GitHub starsUsed in 4 repos~1.7k tokens
    Auto-check passed
  • Open Notebook

    majiayu000/claude-skill-registry

    Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis.

    666 GitHub starsUsed in 4 repos~2.4k tokens
    Auto-check passed

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Questions about Codex CLI

What does Codex CLI do?

Integrate OpenAI Codex CLI into Claude Code for AI collaboration, code generation, and automated development. Codex CLI is an agent skill from majiayu000/claude-skill-registry. Integrate OpenAI Codex CLI into Claude Code for AI collaboration, code generation, and automated development.

When should I use Codex CLI?

Codex CLI fits situations like: working with OpenAI models (GPT-5.2; GPT-5.1-Codex-Max; code refactoring; needing full automation with permission bypass.

How do I install Codex CLI in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill codex-cli -a claude-code`. Or copy the skill folder (skills/ai-llm/codex-cli-adaptationio-skrillz in majiayu000/claude-skill-registry) into .claude/skills/codex-cli in your project. Claude Code loads it when a task matches its description.

How do I install Codex CLI in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill codex-cli -a codex`. Or copy the skill folder (skills/ai-llm/codex-cli-adaptationio-skrillz in majiayu000/claude-skill-registry) into .agents/skills/codex-cli in your project. Codex loads it when a task matches its description.

Can I use Codex CLI in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill codex-cli -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/codex-cli, .gemini/skills/codex-cli, .github/skills/codex-cli and .opencode/skills/codex-cli in your project.

What does Codex CLI need to run?

Going by SKILL.md and its folder, Codex CLI needs the command-line tools its instructions call (codex, git, jq, npm and brew) and credentials named OPENAI_API_KEY. Our summary lists: Node.js; A credential in OPENAI_API_KEY.

Does Codex CLI access the network?

SKILL.md contains no URLs. Its commands use git and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Codex CLI safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Codex CLI use?

Codex CLI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Codex CLI use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Codex CLI?

Skills that share tags, products or a category with Codex CLI: Codex (skills-directory/skill-codex, 1.5k stars), Openai Security Ownership Map (trailofbits/skills-curated, 512 stars), Pypi Release (alchemiststudiosDOTai/tunacode, 125 stars) and Go (inference-gateway/inference-gateway, 214 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Codex CLI?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 971 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.