Back to skills
Codex
Execute Codex CLI for code analysis, refactoring, and automated code changes. Use when you need to delegate complex code tasks to Codex AI with file references (@syntax) and structured output.
33 stars
0 votes
0 copies
0 views
Added 12/19/2025
data-aipythonbashrefactoringgitsecurityperformance
Works with
cli
Install via CLI
$
openskills install ysicing/code-pilotFiles
SKILL.md
---
name: codex
description: Execute Codex CLI for code analysis, refactoring, and automated code changes. Use when you need to delegate complex code tasks to Codex AI with file references (@syntax) and structured output.
---
# Codex CLI Integration
## Overview
Execute Codex CLI commands and parse structured JSON responses. Supports file references via `@` syntax, multiple models, and sandbox controls.
## When to Use
- Complex code analysis requiring deep understanding
- Large-scale refactoring across multiple files
- Automated code generation with safety controls
- Tasks requiring specialized reasoning models (o3, gpt-5)
## Usage
**推荐方式**(使用 uv run,自动管理 Python 环境):
```bash
uv run ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]
```
**备选方式**(直接执行或使用 Python):
```bash
~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]
# 或
python3 ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]
```
恢复会话:
```bash
uv run ~/.claude/skills/codex/scripts/codex.py resume <session_id> "<task>" [model] [working_dir]
```
## Timeout Control
- **Built-in**: Script enforces 2-hour timeout by default
- **Override**: Set `CODEX_TIMEOUT` environment variable (in milliseconds, e.g., `CODEX_TIMEOUT=3600000` for 1 hour)
- **Behavior**: On timeout, sends SIGTERM, then SIGKILL after 5s if process doesn't exit
- **Exit code**: Returns 124 on timeout (consistent with GNU timeout)
- **Bash tool**: Always set `timeout: 7200000` parameter for double protection
### Parameters
- `task` (required): Task description, supports `@file` references
- `model` (optional): Model to use (default: gpt-5-codex)
- `gpt-5-codex`: Default, optimized for code
- `gpt-5`: Fast general purpose
- `working_dir` (optional): Working directory (default: current)
### Return Format
Extracts `agent_message` from Codex JSON stream and appends session ID:
```
Agent response text here...
---
SESSION_ID: 019a7247-ac9d-71f3-89e2-a823dbd8fd14
```
Error format (stderr):
```
ERROR: Error message
```
### Invocation Pattern
When calling via Bash tool, always include the timeout parameter:
```
Bash tool parameters:
- command: uv run ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]
- timeout: 7200000
- description: <brief description of the task>
```
Alternatives:
```
# Direct execution (simplest)
- command: ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]
# Using python3
- command: python3 ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]
```
### Examples
**Basic code analysis:**
```bash
# Recommended: via uv run (auto-manages Python environment)
uv run ~/.claude/skills/codex/scripts/codex.py "explain @src/main.ts"
# timeout: 7200000
# Alternative: direct execution
~/.claude/skills/codex/scripts/codex.py "explain @src/main.ts"
```
**Refactoring with specific model:**
```bash
uv run ~/.claude/skills/codex/scripts/codex.py "refactor @src/utils for performance" "gpt-5"
# timeout: 7200000
```
**Multi-file analysis:**
```bash
uv run ~/.claude/skills/codex/scripts/codex.py "analyze @. and find security issues" "gpt-5-codex" "/path/to/project"
# timeout: 7200000
```
**Resume previous session:**
```bash
# First session
uv run ~/.claude/skills/codex/scripts/codex.py "add comments to @utils.js" "gpt-5-codex"
# Output includes: SESSION_ID: 019a7247-ac9d-71f3-89e2-a823dbd8fd14
# Continue the conversation
uv run ~/.claude/skills/codex/scripts/codex.py resume 019a7247-ac9d-71f3-89e2-a823dbd8fd14 "now add type hints"
# timeout: 7200000
```
**Using python3 directly (alternative):**
```bash
python3 ~/.claude/skills/codex/scripts/codex.py "your task here"
```
## Notes
- **Recommended**: Use `uv run` for automatic Python environment management (requires uv installed)
- **Alternative**: Direct execution `./codex.py` (uses system Python via shebang)
- Python implementation using standard library (zero dependencies)
- Cross-platform compatible (Windows/macOS/Linux)
- PEP 723 compliant (inline script metadata)
- Runs with `--dangerously-bypass-approvals-and-sandbox` for automation (new sessions only)
- Uses `--skip-git-repo-check` to work in any directory
- Streams progress, returns only final agent message
- Every execution returns a session ID for resuming conversations
- Requires Codex CLI installed and authenticated
Attribution
Comments (0)
No comments yet. Be the first to comment!
