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claw-use爪子使用

Agent Skill

claw-use 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

7,638

周安装

312

GitHub Stars

公开资料未说明

下载量

2,471
OpenClaw

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

MIT-0

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:claw-use(爪子使用)
来源仓库:https://github.com/4ier/claw-use
安装命令:
openclaw skills install claw-use
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install claw-use

简介

claw-use 用于通过 HTTP 控制物理设备,如屏幕读取和输入操作。

  • 适合远程设备导航、应用启动及音频输出等自动化场景。
  • 基于 Claw Use 协议实现,通过 clawhub 安装使用。
  • 安装前需确认目标设备可达性、网络防火墙设置及权限申请流程。
  • 建议仅在受控环境中部署并严格管理访问令牌。claw-use 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Claw Use — Device Control for AI Agents

Give your AI agent eyes, hands, and a voice on real devices.

Claw Use is a protocol + skill for AI agents to control physical devices over HTTP. The cu CLI provides a unified interface — the same commands work across any device that implements the Claw Use API.

Supported Devices

PlatformImplementationStatus
Androidclaw-use-android✅ Available
iOSclaw-use-ios🔮 Planned
Desktopclaw-use-desktop🔮 Planned

Prerequisites

  • cu CLI installed (ships with claw-use-android, or install standalone)
  • At least one device running a Claw Use implementation
  • Device and agent on the same network (or connected via Tailscale)

Setup

# Add a device with a friendly name
cu add redmi 192.168.0.105 <token>
cu add pixel 100.80.1.10 <token>

# List devices
cu devices
# ▸ redmi  192.168.0.105  online v1.2.0
#   pixel  100.80.1.10    offline

# Switch default
cu use pixel

# Target a specific device
cu -d redmi screenshot

Core API (all platforms)

Every Claw Use implementation exposes the same HTTP endpoints:

Perception — read the device

cu screen              # UI tree (semantic: element text, bounds, state)
cu screen -c           # compact mode (interactive elements only)
cu screenshot          # visual capture (JPEG, configurable quality)
cu notifications       # system notifications
cu status              # device health dashboard

Action — control the device

cu tap <x> <y>         # tap coordinates
cu click <text>        # tap by visible text (semantic click)
cu type "text"         # type text (CJK supported)
cu swipe up|down|left|right
cu scroll up|down|left|right
cu back / cu home      # system navigation
cu launch <app>        # open an application
cu open <url>          # open URL
cu intent '<json>'     # platform-specific intent (Android)

Audio

cu tts "hello"         # speak through device speaker
cu say "你好"          # alias

Device State

cu wake                # wake screen
cu lock / cu unlock    # lock/unlock (PIN required for unlock)

Workflow Patterns

Navigate and interact

cu launch org.telegram.messenger
cu screen -c                        # see what's on screen
cu click "Search"
cu type "John"
cu click "John, last seen recently"
cu type "Hey!"
cu click "Send"

Visual + semantic dual-channel

cu screen -c                         # semantic: what elements exist
cu screenshot 50 720 /tmp/look.jpg   # visual: what it actually looks like

Multi-device orchestration

cu -d phone1 launch com.whatsapp
cu -d phone2 screenshot
cu -d tablet open "https://example.com"

For Agent Developers

Claw Use is designed as a protocol, not just an app. To add support for a new platform:

  1. Implement the Claw Use HTTP API spec
  2. Expose endpoints on a configurable port (default: 7333)
  3. Support token auth via X-Bridge-Token header
  4. Return JSON responses matching the documented schemas

The cu CLI and this skill work automatically with any compliant implementation.

Tips

  • cu screen -c is the primary perception tool — compact mode filters noise
  • cu click by text is more reliable than cu tap when text is visible
  • cu screenshot when you need visual context the UI tree can't capture
  • Auto-unlock is transparent: locked devices auto-unlock before any command
  • Combine with Tailscale for remote access from anywhere

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

93.23%
按下载量换算2,304

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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