GLM-Tools-Skills-Agents/skills/community/pi-mono/codex-cli/SKILL.md

name, description

name	description
codex-cli	OpenAI Codex CLI reference. Use when running codex in interactive_shell overlay or when user asks about codex CLI options.

Codex CLI (OpenAI)

Commands

Command	Description
codex	Start interactive TUI
codex "prompt"	TUI with initial prompt
codex exec "prompt"	Non-interactive (headless), streams to stdout. Supports --output-schema <file> for structured JSON output
codex e "prompt"	Shorthand for exec
codex login	Authenticate (OAuth, device auth, or API key)
codex login status	Show auth mode
codex logout	Remove credentials
codex mcp	Manage MCP servers
codex completion	Generate shell completions

Key Flags

Flag	Description
-m, --model <model>	Switch model (default: gpt-5.3-codex)
-c <key=value>	Override config.toml values (dotted paths, parsed as TOML)
-p, --profile <name>	Use config profile from config.toml
-s, --sandbox <mode>	Sandbox policy: read-only, workspace-write, danger-full-access
-a, --ask-for-approval <policy>	untrusted, on-failure, on-request, never
--full-auto	Alias for -a on-request --sandbox workspace-write
--search	Enable live web search tool
-i, --image <file>	Attach image(s) to initial prompt
--add-dir <dir>	Additional writable directories
-C, --cd <dir>	Set working root directory
--no-alt-screen	Inline mode (preserve terminal scrollback)

Sandbox Modes

• read-only - Can only read files
• workspace-write - Can write to workspace
• danger-full-access - Full system access (use with caution)

Features

• Image inputs - Accepts screenshots and design specs
• Code review - Reviews changes before commit
• Web search - Can search for information
• MCP integration - Third-party tool support

Config

Config file: ~/.codex/config.toml

Key config values (set in file or override with -c):

• model -- model name (e.g., gpt-5.3-codex)
• model_reasoning_effort -- low, medium, high, xhigh
• model_reasoning_summary -- detailed, concise, none
• model_verbosity -- low, medium, high
• profile -- default profile name
• tool_output_token_limit -- max tokens per tool output

Define profiles for different projects/modes with [profiles.<name>] sections. Override at runtime with -p <name> or -c model_reasoning_effort="high".

In interactive_shell

Do NOT pass -s / --sandbox flags. Codex's read-only and workspace-write sandbox modes apply OS-level filesystem restrictions that break basic shell operations inside the PTY -- zsh can't even create temp files for here-documents, so every write attempt fails with "operation not permitted." The interactive shell overlay already provides supervision (user watches in real-time, Ctrl+Q to kill, Ctrl+T to transfer output), making Codex's sandbox redundant.

Use explicit flags to control model and behavior per-run.

For delegated fire-and-forget runs, prefer mode: "dispatch" so the agent is notified automatically when Codex completes.

// Delegated run with completion notification (recommended default)
interactive_shell({
  command: 'codex -m gpt-5.3-codex -a never "Review this codebase for security issues"',
  mode: "dispatch"
})

// Override reasoning effort for a single delegated run
interactive_shell({
  command: 'codex -m gpt-5.3-codex -c model_reasoning_effort="xhigh" -a never "Complex refactor task"',
  mode: "dispatch"
})

// Headless - use bash instead
bash({ command: 'codex exec "summarize the repo"' })