codex-cli | Alison's LLM Skills Marketplace | Alison's LLM Skills Marketplace

Files

SKILL.mdagents

Install

Install only this skill with npx skills

npx skills add alisonaquinas/llm-shared-skills --skill 'codex-cli' -g -y

Install the containing skill bundle

/plugin install shared-skills@llm-skills

Download codex-cli-skill.zip

This skill is bundled inside shared-skills. Use npx skills when you only want this skill, or install the bundle once to make every included skill available through the plugin marketplace flow. Browse the full skill bundle repository at github.com/alisonaquinas/llm-shared-skills.

Invoke

Invoke this skill after installation

/shared-skills:codex-cli

SKILL.md

name: codex-cli description: "Use when the user wants to install, set up, update, configure, manage, or troubleshoot the OpenAI Codex CLI tool. Triggers include install codex, update codex cli, codex command not found, set OPENAI_API_KEY, configure AGENTS.md, codex login, codex mcp, set approval or sandbox policy, run codex exec, pipe to codex, codex won't start, change the model in codex, or any hands-on operational task with the codex CLI binary. For documentation lookups use codex-cli-docs."

OpenAI Coding CLI

Operational skill for installing, configuring, managing, and troubleshooting the coding CLI binary. For deep documentation lookups, use the companion documentation skill.

Intent Router

Task	Action
Install / first run	See Install below
Update	See Update below
Auth / API key setup	See Auth below
Configure AGENTS.md	See Configuration below
MCP servers	See MCP below
Approval and sandbox policy	See Approval & Sandbox below
Non-interactive / scripting	See Scripting below
Troubleshooting	See Troubleshooting below
Advanced / docs lookup	Use the companion documentation skill

Quick Start

codex --version
codex login status
codex -a on-request -s workspace-write "summarize this repository"
codex exec -a never -s workspace-write "run tests and report failures"

If the task asks for exact flags, config keys, MCP behavior, or current model availability, switch to the companion documentation skill and verify first.

Install

# npm (global install)
npm install -g @openai/codex

# Homebrew
brew install --cask codex

First run:

cd your-project
codex "describe what this codebase does"

The CLI runs on macOS, Windows, and Linux. On Windows, use native PowerShell with the Windows sandbox, or WSL2 when a Linux-native toolchain is required.

Update

# npm
npm i -g @openai/codex@latest

# Homebrew
brew upgrade --cask codex

# Check version
codex --version

Release notes: use the companion documentation skill for the changelog URL.

Auth

ChatGPT account or API key

codex login          # opens browser for ChatGPT sign-in
codex login status   # exits 0 when credentials are present
codex logout         # remove saved credentials

For headless hosts:

codex login --device-auth
printenv OPENAI_API_KEY | codex login --with-api-key

An OPENAI_API_KEY environment variable can also be used by scripts and CI. Never put real keys in AGENTS.md, shell history examples, or committed config.

Configuration

AGENTS.md

AGENTS.md at the project root is read at the start of every session. Use it for project-specific instructions, coding conventions, and build commands.

# My Project

## Build & Test
- Build: `npm run build`
- Test: `npm test`

## Conventions
- TypeScript strict mode
- All new functions need JSDoc comments

For the full AGENTS.md spec, use the companion documentation skill.

Config file

Persistent CLI settings live in ~/.codex/config.toml. Override values for one invocation with -c key=value, or load a named profile with --profile.

codex -c model=gpt-5.4 -c sandbox_mode=workspace-write "task"
codex --profile review "review this repository"

MCP

MCP server launchers are stored in ~/.codex/config.toml.

codex mcp add docs -- npx -y @modelcontextprotocol/server-filesystem .
codex mcp add remote --url https://mcp.example.com/mcp
codex mcp list --json
codex mcp get docs --json
codex mcp remove docs

Use per-server and per-tool approval settings in config when tools can write, mutate external systems, or call network services.

Approval & Sandbox

codex -a on-request -s workspace-write "task"  # interactive default for most edits
codex -a never -s workspace-write "task"       # unattended inside a sandbox
codex --yolo "task"                            # no approvals or sandbox; only in hardened envs

Control	Values	Use
`--ask-for-approval`, `-a`	`untrusted`, `on-request`, `never`	Human approval policy
`--sandbox`, `-s`	`read-only`, `workspace-write`, `danger-full-access`	Shell command containment
`--yolo`	boolean	Bypass both controls; avoid unless an outer sandbox protects the host

Scripting

# Non-interactive run
codex exec "fix all TypeScript errors"

# Non-interactive with explicit policy
codex exec -a never -s workspace-write "run tests and fix failures"

# Set working directory
codex --cd /path/to/project "update the README"

# Pipe input
cat error.log | codex exec "what is causing these errors?"
git diff | codex exec "review these changes for issues"

# Switch model
codex --model gpt-5.4 "refactor this module"

# Resume a previous interactive session
codex resume --last
codex resume <session-id>

Troubleshooting

Symptom	Fix
CLI binary not found	Re-run the install step (see Install); check `$PATH`
`OPENAI_API_KEY not set`	Use `codex login`, `codex login --with-api-key`, or export the key
Auth loop / browser won't open	Sign out then sign in again (see Auth)
Slow / no response	Check internet; try `--verbose`
Changes not applying	Check `--ask-for-approval`, `--sandbox`, and `/permissions`
Wrong AGENTS.md loaded	Use `/status` or `/debug-config` to inspect config and roots
MCP tool not available	Run `codex mcp list --json`; check per-tool approval settings
Model not available	Verify your OpenAI plan supports the requested model

Inspect active settings inside the TUI:

/status
/debug-config

For issues not covered here, use the companion documentation skill to look up the relevant documentation page.