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turix-cua图里克斯·库阿

Agent Skill

turix-cua 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,717

周安装

73

GitHub Stars

公开资料未说明

下载量

602
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:turix-cua(图里克斯·库阿)
来源仓库:https://github.com/shiehxj/turix-cua-skill
仓库路径:skills/turix-cua
安装命令:
npx skills add https://github.com/shiehxj/turix-cua-skill --skill turix-cua
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/shiehxj/turix-cua-skill --skill turix-cua

简介

用于查找、检索和筛选相关信息,支持关键词匹配和线索定位。

  • 适合在开发中快速获取候选方案或技术资料。turix-cua 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 可结合来源仓库和 README 进一步核验具体实现方式。
  • 安装前应确认是否会触发联网、命令执行或文件读写操作。
  • 注意权限范围和仓库维护状态,避免误用或安全风险。

SKILL.md

TuriX-CUA Skill

This skill enables OpenClaw to control macOS desktop visually using the TuriX Computer Use Agent (CUA). TuriX uses a multi-model architecture (Brain, Actor, Planner, Memory) to understand tasks, plan steps, and execute precise UI actions.

📋 When to Use

Use TuriX-CUA when:

  • Desktop GUI automation: "Open Spotify and play my liked songs"
  • Apps without CLI/API: Navigate applications that lack command-line interfaces
  • Multi-step visual workflows: "Find the latest invoice in my email and upload it to the company portal"
  • Complex UI interactions: Tasks requiring visual understanding and planning
  • Cross-app workflows: "Search iPhone price, create Pages document, and send to contact"

Do NOT use for:

  • Tasks that can be done via CLI (use exec instead)
  • Simple file operations (use file tools)
  • Web scraping (use web_fetch or browser tools)
  • Tasks requiring system-level permissions without warning

🚀 Quick Start

Prerequisites

  1. Install TuriX-CUA: git clone https://github.com/TurixAI/TuriX-CUA.git cd TuriX-CUA conda create -n turix_env python=3.12 conda activate turix_env pip install -r requirements.txt
  2. Grant macOS Permissions:

- Accessibility: System Settings → Privacy & Security → Accessibility → Add Terminal/VSCode - Safari Automation: Safari → Settings → Advanced → Show features for web developers - Develop menu → Allow Remote Automation - Develop menu → Allow JavaScript from Apple Events

  1. Configure API in examples/config.json: {"brain_llm": {"provider": "turix", "model_name": "turix-brain-model", "api_key": "YOUR_API_KEY", "base_url": "https://llm.turixapi.io/v1"}, "actor_llm": {"provider": "turix", "model_name": "turix-actor-model", "api_key": "YOUR_API_KEY", "base_url": "https://llm.turixapi.io/v1"}, "memory_llm": {"provider": "turix", "model_name": "turix-memory-model", "api_key": "YOUR_API_KEY", "base_url": "https://llm.turixapi.io/v1"}, "planner_llm": {"provider": "turix", "model_name": "turix-planner-model", "api_key": "YOUR_API_KEY", "base_url": "https://llm.turixapi.io/v1"}} Or use Ollama (local models): {"brain_llm": {"provider": "ollama", "model_name": "llama3.2-vision", "base_url": "http://localhost:11434"} //... same for actor, memory, planner}

Basic Usage

# Run a simple task
skills/turix-cua/scripts/run_turix.sh "Open Chrome and go to github.com"

# Run with planning enabled (for complex tasks)
skills/turix-cua/scripts/run_turix.sh "Search AI news and create summary" --use-plan

# Resume an interrupted task
skills/turix-cua/scripts/run_turix.sh --resume my-task-001

📁 File Structure

skills/turix-cua/
├── SKILL.md              # This file
├── README.md             # Detailed documentation
├── scripts/
│   └── run_turix.sh      # Main execution script
└── examples/
    └── config.json       # TuriX configuration (managed by script)

⚙️ Configuration Options

OptionDescriptionDefault
use_planEnable planning for complex tasksfalse
use_skillsEnable skill selectionfalse
resumeResume from previous interruptionfalse
agent_idStable ID for task resumptionauto-generated
max_stepsLimit total steps100
max_actions_per_stepActions per step5

📋 Task Examples

✅ Good Tasks

Simple:

  • "Open Safari, go to google.com, search for 'TuriX AI', click first result"
  • "Open System Settings, click on Dark Mode, return to System Settings"
  • "Open Finder, navigate to Documents, create folder 'Project X'"

Complex (use --use-plan):

  • "Search iPhone 17 price on Apple store, create Pages document with findings, send to contact John"
  • "Open Discord, find message with Excel file from boss, download it, create chart in Numbers, insert to PowerPoint"
  • "Search AI news on 36kr and Huxiu, summarize top 5 stories, save to Word document"

❌ Avoid

  • Vague: "Help me" or "Fix this"
  • Impossible: "Delete all files"
  • Without context: "Do it" (unclear what "it" is)
  • System-level: "Install software" (requires permissions)

🔧 Script Usage

run_turix.sh

# Basic usage
./run_turix.sh "Your task description"

# With options
./run_turix.sh "Task" --use-plan --use-skills --background

# Resume task
./run_turix.sh --resume my-task-001

# Set custom agent ID
./run_turix.sh "Task" --agent-id custom-id-123

Options:

  • --use-plan: Enable planning (for complex multi-step tasks)
  • --use-skills: Enable skill selection
  • --background: Run in background (non-blocking)
  • --agent-id <id>: Set custom agent ID for resumption
  • --resume: Resume interrupted task

How It Works

The script:

  1. Updates examples/config.json with task and options
  2. Sets PATH correctly (includes /usr/sbin for screencapture)
  3. Activates conda environment
  4. Runs TuriX agent
  5. Handles UTF-8/Chinese text correctly via Python

📊 Monitoring & Debugging

Check Status

# Check if TuriX is running
ps aux | grep "python.*main.py" | grep -v grep

# View logs
tail -f TuriX-CUA/.turix_tmp/logging.log

# List step files
ls -lt TuriX-CUA/examples/.turix_tmp/brain_llm_interactions.log_brain_*.txt

Log Files

FileDescription
.turix_tmp/logging.logMain execution log
brain_llm_interactions.log_brain_N.txtBrain reasoning for step N
actor_llm_interactions.log_actor_N.txtActor actions for step N

Key Log Markers

  • 📍 Step N - New step started
  • ✅ Eval: Success/Failed - Step evaluation
  • 🎯 Goal to achieve this step - Current goal
  • 🛠️ Action - Executed action
  • ✅ Task completed successfully - Task done

Force Stop

Hotkey: Cmd+Shift+2 (in the running terminal)

Command:

pkill -f "python examples/main.py"

🧩 Skills System

TuriX supports Skills: markdown playbooks for specific domains.

Built-in Skills

  • github-web-actions: GitHub navigation, repo search, starring
  • browser-tasks: General web browser operations

Create Custom Skill

Create .md file in TuriX-CUA/skills/:

---
name: my-skill-name
description: When to use this skill (Planner matches on this)
---
# Skill Instructions

## Guidelines
- Step 1: Do this first
- Step 2: Then do that
- Step 3: Verify result

## Safety
- Confirm before important actions

Enable Skills

In examples/config.json:

{
  "agent": {
    "use_plan": true,
    "use_skills": true,
    "skills_dir": "skills",
    "skills_max_chars": 4000
  }
}

📝 Best Practices

1. Workflow Design

Recommended pattern:

  1. Use web_fetch to gather information
  2. Use Python to create documents (faster, more reliable)
  3. Use TuriX only for GUI tasks it excels at (sending files, app navigation)

Example:

# 1. Fetch news (OpenClaw)
news = web_fetch("https://36kr.com")

# 2. Create Word doc (OpenClaw)
doc = Document()
doc.add_heading('AI News')
doc.save('news.docx')

# 3. Send via Messages (TuriX)
run_turix.sh "Open Messages, send news.docx to contact John"

2. Task Instructions

Be specific:

  • ✅ "Open Safari, go to google.com, search 'AI news'"
  • ❌ "Search the web"

Break down complex tasks:

  • ✅ "Open Finder, go to Documents, create folder 'Projects'"
  • ❌ "Organize my files"

Don't mention coordinates:

  • ✅ "Click the Settings button"
  • ❌ "Click at x=100, y=200"

3. Performance Tips

  • First run: 2-5 minutes to load AI models
  • Subsequent runs: Much faster (models cached)
  • Complex tasks: Use --use-plan for better success rate
  • Long tasks: Use --background and monitor logs

4. Chinese Text Support

The script handles UTF-8 correctly:

  • Uses Python for config updates (not shell interpolation)
  • Reads/writes with encoding='utf-8'
  • Uses ensure_ascii=False in JSON

⚠️ Troubleshooting

ErrorSolution
NoneType has no attribute 'save'Grant Screen Recording permission
Screen recording access deniedRun Safari trigger command, click Allow
Conda environment not foundconda create -n turix_env python=3.12
Module import errorsconda activate turix_env && pip install -r requirements.txt
Keyboard listener errorsAdd Terminal to Accessibility permissions
Task stuck on step 1Check .turix_tmp/ directory exists
No log outputCheck config.json logging_level

🔐 Security Notes

  • TuriX runs locally - no data sent externally (unless using cloud APIs)
  • Grant minimal permissions needed
  • Review tasks before execution
  • Use --background for long-running tasks with monitoring

📚 Resources

🎯 Example OpenClaw Integration

# In OpenClaw skill or workflow:

# 1. Simple task
exec('skills/turix-cua/scripts/run_turix.sh "Open Safari"')

# 2. Complex task with planning
exec('skills/turix-cua/scripts/run_turix.sh "Search AI news and summarize" --use-plan')

# 3. Monitor progress
exec('tail -f TuriX-CUA/.turix_tmp/logging.log')

# 4. Check completion
exec('ps aux | grep "python.*main.py" | grep -v grep')

Version: 1.0.0 Last Updated: 2026-02-23 Compatibility: OpenClaw + TuriX-CUA v0.3+ Platform: macOS 15+

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.97%
按下载量换算217

Claude

30.72%
按下载量换算185

Cursor

20.99%
按下载量换算126

Gemini CLI

9.87%
按下载量换算59

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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