/install codex-autopilot
Codex Autopilot
Multi-model AI coding orchestration via tmux + launchd on macOS.
Overview
Codex Autopilot runs a watchdog loop that orchestrates multiple AI coding sessions in tmux. It features intelligent task routing — frontend tasks (UI, components, H5) are routed to Gemini CLI (1M context window, superior design aesthetics), while backend tasks (API, database, deployment) go to Codex CLI. The watchdog detects idle sessions, auto-nudges them, handles permission prompts, dispatches tasks from a priority queue, and sends notifications via Discord/Telegram.
Multi-Model Architecture
| Role | Model | Strengths |
|---|---|---|
| Backend coding | Codex (GPT-5.4) | API, database, deployment, refactoring |
| Frontend development | Gemini CLI | UI, components, pages, styles, 1M context |
| Orchestration | Claude / OpenClaw | Task routing, code review, project management |
Tasks are automatically classified by keywords and routed to the appropriate model. Frontend tasks fall back to Codex if Gemini is unavailable.
Installation
git clone https://github.com/imwyvern/AIWorkFlowSkill.git ~/.autopilot
cd ~/.autopilot
cp config.yaml.example config.yaml
# Edit config.yaml with your project paths, Telegram bot token, and Discord channels
Dependencies
- macOS with launchd (for scheduled execution)
- tmux — session multiplexer for Codex windows
- Codex CLI (
codex) — OpenAI's coding agent - python3 — for state cleanup and PRD verification scripts
- yq — YAML processor for config parsing
- jq — JSON processor for state management
- bash 4+ — for associative arrays in scripts
Install dependencies via Homebrew:
brew install tmux yq jq
launchd Setup
Use install.sh to register the launchd plist:
./install.sh
This creates a LaunchAgent that runs the watchdog on a configurable interval.
Core Components
watchdog.sh
Main loop engine. On each tick:
- Iterates through configured project tmux windows
- Captures current Codex output via
codex-status.sh - Determines if session is active, idle, or stuck
- Dispatches appropriate action (nudge, permission grant, task from queue)
- Enforces cooldowns, daily send limits, and loop detection
codex-status.sh
Captures and analyzes tmux pane content. Detects:
- Codex activity state (working / idle / waiting for permission)
- Permission prompts requiring approval
- Context compaction signals
- Error states and crashes
tmux-send.sh
Sends keystrokes or text to a specific tmux window. Handles:
- Typing text into Codex prompt
- Pressing Enter/keys for permission approval
- Verification polling to confirm send succeeded
autopilot-lib.sh
Shared function library used by all scripts:
- Telegram notification helpers
- File locking primitives
- Timeout and retry logic
- Logging utilities
- State file read/write
autopilot-constants.sh
Defines status constants used across scripts (e.g., STATUS_ACTIVE, STATUS_IDLE, STATUS_PERMISSION).
task-queue.sh
Task queue manager. Supports:
- Enqueuing tasks for specific projects
- Dequeueing next task based on priority
- Task status tracking (pending/running/done/failed)
discord-notify.sh
Sends formatted notifications to Discord channels via webhook. Supports project-channel routing defined in config.yaml.
test-agent.sh
Built-in CI/CD that runs on every commit. Evaluates test suites, tracks coverage, and auto-enqueues bugfix tasks when tests fail.
commit → watchdog detects → test-agent evaluate
├─ all pass → review clean → enqueue coverage tasks for low-coverage files
└─ failures → parse log → auto-enqueue "fix(test): ..." bugfix task
└─ 1h cooldown per file (prevents retry loops)
Triggers:
on_commit_evaluate— every new commiton_review_clean— after code review passesnightly— scheduled full evaluation (default 02:30)
Coverage ratchet: global coverage must not regress; weekly +1% target, capped at 90%.
Other Scripts
| Script | Purpose |
|---|---|
auto-nudge.sh |
Nudge logic for idle Codex sessions |
auto-check.sh |
Periodic health check across all projects |
permission-guard.sh |
Auto-approve or flag permission prompts |
incremental-review.sh |
Run code review on recent changes |
monitor-all.sh |
Dashboard: show status of all monitored projects |
status-sync.sh |
Sync state to status.json for external consumption |
rotate-logs.sh |
Log rotation and cleanup |
cleanup-state.py |
Remove stale entries from state.json |
claude-fallback.sh |
Fallback handler when Codex is unavailable |
prd-audit.sh |
Audit PRD completion status |
prd-verify.sh / prd_verify_engine.py |
Verify PRD items against codebase |
codex-token-daily.py |
Track daily token usage |
coverage-collect.sh |
Collect and merge coverage reports |
Configuration
Edit config.yaml (copy from config.yaml.example). Key sections:
Timing Thresholds
active_threshold: 120 # seconds — Codex considered "working"
idle_threshold: 360 # seconds — Codex considered "idle", triggers nudge
cooldown: 120 # minimum seconds between sends to same project
Safety Limits
max_daily_sends_total: 200 # global daily send cap
max_daily_sends: 50 # per-project daily cap
max_consecutive_failures: 5 # pause project after N failures
loop_detection_threshold: 3 # detect repeated output loops
Multi-Project Scheduler
scheduler:
strategy: "round-robin" # or "priority"
max_sends_per_tick: 1
inter_project_delay: 5 # seconds between project sends
Project Directories
project_dirs:
- "~/project-alpha"
- "~/project-beta"
Gemini Frontend Routing
gemini:
default_window: "gemini-h5" # Default tmux window for frontend tasks
project_windows:
youxin: "gemini-youxin" # Per-project Gemini window overrides
Frontend task detection keywords: 页面, 组件, 样式, UI, 前端, H5, 小程序, 界面, frontend, component, style, page, layout
Discord Channel Routing
discord_channels:
my-project:
channel_id: "123456789"
tmux_window: "my-project"
project_dir: "/path/to/project"
Telegram Notifications
telegram:
bot_token: "YOUR_BOT_TOKEN"
chat_id: "YOUR_CHAT_ID"
status_interval: 1800
Usage
Adding a Project
-
Start a Codex CLI session in a named tmux window:
tmux new-window -t autopilot -n my-project # In the new window, cd to project and run codex -
Add the project path to
config.yamlunderproject_dirs -
Optionally create
projects/my-project/tasks.yamlfor task queue:project: name: "My Project" dir: "~/my-project" enabled: true priority: 1 tasks: - id: "feature-x" name: "Implement feature X" prompt: | Implement feature X per the spec in docs/feature-x.md
Manual Operations
# Check status of all projects
./scripts/monitor-all.sh
# Manually nudge a specific project
./scripts/auto-nudge.sh my-project
# Send a command to a tmux window
./scripts/tmux-send.sh my-project "codex exec 'fix the tests'"
# Enqueue a backend task (routes to Codex)
./scripts/task-queue.sh add my-project "Refactor auth module"
# Enqueue a frontend task (routes to Gemini)
./scripts/task-queue.sh add my-project "重构登录页面组件" normal --type frontend
# Run the watchdog once (for testing)
./scripts/watchdog.sh
Python Autopilot (Alternative)
autopilot.py provides a Python-based alternative with richer state management:
python3 autopilot.py --once # single pass
python3 autopilot.py --daemon # continuous loop
Directory Structure
~/.autopilot/
├── SKILL.md # This file
├── config.yaml # Local config (not in git)
├── config.yaml.example # Config template
├── scripts/ # All automation scripts
├── projects/ # Per-project task definitions
├── docs/ # Additional documentation
├── code-review/ # Code review templates
├── development/ # Development workflow templates
├── doc-review/ # Doc review templates
├── doc-writing/ # Doc writing templates
├── requirement-discovery/ # Requirement discovery templates
├── testing/ # Testing templates
├── tests/ # Test suite
├── state/ # Runtime state (gitignored)
├── logs/ # Runtime logs (gitignored)
├── task-queue/ # Task queue data (gitignored)
└── archive/ # Deprecated files
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install codex-autopilot - 安装完成后,直接呼叫该 Skill 的名称或使用
/codex-autopilot触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Codex Autopilot 是什么?
Multi-model AI coding automation system with intelligent task routing and built-in CI/CD. Watchdog-driven loop that orchestrates Codex (backend) and Gemini (... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 481 次。
如何安装 Codex Autopilot?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install codex-autopilot」即可一键安装,无需额外配置。
Codex Autopilot 是免费的吗?
是的,Codex Autopilot 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Codex Autopilot 支持哪些平台?
Codex Autopilot 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Codex Autopilot?
由 wes(@imwyvern)开发并维护,当前版本 v0.7.1。