Codex
skills-directory/skill-codex
A skill your agent uses when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
Integrate OpenAI Codex CLI into Claude Code for AI collaboration, code generation, and automated development.
$ npx skills add majiayu000/claude-skill-registry --skill codex-cli -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry codex-cli --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "codex-cli" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/codex-cli-adaptationio-skrillz into .claude/skills/codex-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-cli", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/codex-cli-adaptationio-skrillzType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill codex-cli -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry codex-cli --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-llm/codex-cli-adaptationio-skrillz .agents/skills/codex-cli && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "codex-cli" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/codex-cli-adaptationio-skrillz into .agents/skills/codex-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-cli", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill codex-cli -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry codex-cli --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-llm/codex-cli-adaptationio-skrillz .cursor/skills/codex-cli && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "codex-cli" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/codex-cli-adaptationio-skrillz into .cursor/skills/codex-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-cli", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/ai-llm/codex-cli-adaptationio-skrillz--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill codex-cli -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry codex-cli --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-llm/codex-cli-adaptationio-skrillz .gemini/skills/codex-cli && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "codex-cli" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/codex-cli-adaptationio-skrillz into .gemini/skills/codex-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-cli", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry codex-cliInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill codex-cli -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-llm/codex-cli-adaptationio-skrillz .github/skills/codex-cli && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "codex-cli" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/codex-cli-adaptationio-skrillz into .github/skills/codex-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-cli", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill codex-cli -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry codex-cli --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-llm/codex-cli-adaptationio-skrillz .opencode/skills/codex-cli && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "codex-cli" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/codex-cli-adaptationio-skrillz into .opencode/skills/codex-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-cli", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
codex-cliIntegrate 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. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 000116a. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
codexgitjqnpmbrewFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from majiayu000/claude-skill-registry at commit 000116a, republished under its MIT licence (© majiayu000). 306 words, ~4,235 tokens.
.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.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)
# 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# Login with ChatGPT account
codex login
# Opens browser for OAuth authentication
# Includes GPT-5-Codex access with subscription# 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# 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"--dangerously-bypass-approvals-and-sandbox - Complete automation, zero friction:
# 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"# --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"# -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"# -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)"# 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"# 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"# 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"# o3 - Smartest reasoning model
codex exec -m o3 "Complex architectural decisions"
# o4-mini - Efficient reasoning
codex exec -m o4-mini "Quick reasoning tasks"# 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 orchestrates, Codex executes - The Think-Act-Observe Loop:
#!/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...# 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#!/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"# 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"# 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"# 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 last session
codex exec resume --last
# Pick from previous sessions
codex resume# 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"# Run as MCP server
codex mcp
# Manage MCP servers (experimental)
codex mcp list
codex mcp add <server-name>#!/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"#!/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"#!/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"# 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: ${{ secrets.OPENAI_API_KEY }}
run: |
codex exec --dangerously-bypass-approvals-and-sandbox \
--json \
"Analyze code changes, run tests, fix issues, generate report" \
> codex-report.json
- name: Upload Report
uses: actions/upload-artifact@v3
with:
name: codex-analysis
path: codex-report.json# Default model (December 2025)
model = "gpt-5.1-codex-max" # Best for agentic coding
# Approval policy
ask_for_approval = "on-request" # or "never", "on-failure", "untrusted"
# Sandbox mode
sandbox = "workspace-write" # or "read-only", "danger-full-access"
# Enable web search
search = true
# Additional writable directories
add_dirs = ["./docs", "./tests"]
# Feature flags
[features]
web_search = true
multimodal = true
mcp = true
# Profiles for different workflows
[profiles.safe]
ask_for_approval = "untrusted"
sandbox = "read-only"
[profiles.auto]
ask_for_approval = "never"
sandbox = "workspace-write"
search = true
[profiles.danger]
ask_for_approval = "never"
sandbox = "danger-full-access"
search = true
# NEW: GPT-5.2 optimized profiles
[profiles.gpt52]
model = "gpt-5.2"
ask_for_approval = "never"
sandbox = "workspace-write"
search = true
[profiles.gpt52-pro]
model = "gpt-5.2-pro"
reasoning_effort = "xhigh"
ask_for_approval = "on-request"
sandbox = "workspace-write"
[profiles.long-context]
model = "gpt-5.2"
ask_for_approval = "never"
sandbox = "workspace-write"
compact = true # Enable context compaction# Authentication
export OPENAI_API_KEY="your-key"
# Default model (December 2025)
export CODEX_MODEL="gpt-5.1-codex-max" # For agentic coding
# export CODEX_MODEL="gpt-5.2" # For general tasks with 400K context
# export CODEX_MODEL="gpt-5.2-pro" # For maximum accuracy
# Default config path
export CODEX_CONFIG_PATH="~/.codex/config.toml"
# GPT-5.2 specific options
export CODEX_REASONING_EFFORT="high" # medium, high, xhighWhen using --dangerously-bypass-approvals-and-sandbox:
Use in Controlled Environments
Always Have Backups
git stash push -m "pre-codex-$(date +%s)"
codex exec --dangerously-bypass-approvals-and-sandbox "task"Use Git for Safety
codex apply to review changesLimit Scope
codex exec --dangerously-bypass-approvals-and-sandbox \
-C ./specific/directory \
"Only affect this directory"# 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"# 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"Authentication Failed
codex logout
codex loginModel Not Available
# 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
# 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 managementcodex-chat: Interactive REPL workflowscodex-tools: Tool execution and file operationscodex-review: Code review and git workflowscodex-git: Git-aware development patterns# 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
SKILL.md and 1 other file in skills/ai-llm/codex-cli-adaptationio-skrillz of majiayu000/claude-skill-registry.
Open the folder on GitHubat commit 000116a
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.
Codex CLI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Codex CLI this skillmajiayu000/claude-skill-registry | 666 | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Codexskills-directory/skill-codex | 1.5k | 3 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Openai Security Ownership Maptrailofbits/skills-curated | 512 | 5 repos | ~2.2k | Automated safety check: Notes | CC-BY-SA-4.0 | |
| Pypi ReleasealchemiststudiosDOTai/tunacode | 125 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Goinference-gateway/inference-gateway | 214 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Merge Masterkeybase/client | 9.3k | — | ~1.3k | Automated safety check: Pass | BSD-3-Clause |
skills-directory/skill-codex
A skill your agent uses when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
trailofbits/skills-curated
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization.
alchemiststudiosDOTai/tunacode
This skill should be used when releasing tunacode-cli to PyPI.
inference-gateway/inference-gateway
Idiomatic Go - package and interface design, error wrapping, table-driven tests, generics, the modern standard library (slices/maps/cmp/errors.Join), current syntax, and logging discipline.
keybase/client
A skill your agent uses when periodically merging upstream master commits into a long-running refactor branch where code has moved, been renamed, or restructured — guiding careful per-commit…
lexler/skill-factory
Find where a codebase actually costs time by mining its git history (Tornhill hotspot analysis).
majiayu000/claude-skill-registry
Multi-source deep research using firecrawl and exa MCPs. An agent skill from majiayu000/claude-skill-registry.
majiayu000/claude-skill-registry
Neural search via Exa MCP for web, code, and company research.
majiayu000/claude-skill-registry
Unified media generation via fal.ai MCP — image, video, and audio.
majiayu000/claude-skill-registry
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
majiayu000/claude-skill-registry
Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.
majiayu000/claude-skill-registry
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis.
Works with
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.