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handsfree-windows-control免提车窗控制

Agent Skill

handsfree-windows-control 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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

22,320

周安装

949

GitHub Stars

公开资料未说明

下载量

7,820
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:handsfree-windows-control(免提车窗控制)
来源仓库:https://github.com/lijinlar/handsfree-windows-control
安装命令:
openclaw skills install handsfree-windows-control
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 handsfree-windows-control

简介

用于控制 Windows 应用和浏览器自动化测试。

  • 适合免提操作 UIA 控件和 Playwright 网页流程。
  • 支持打开页面、读取内容或验证前端行为。
  • 通过 CLI 指令驱动本机应用程序。
  • 使用前应确认系统兼容性与安全策略。handsfree-windows-control 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
handsfree-windows-control
description
Guide skill for controlling native Windows apps (UIA) and web browsers (Playwright) via the handsfree-windows CLI. Use when you need to automate or test desktop applications or websites on a Windows machine: launching apps from Start menu, discovering UI controls without guessing, clicking/typing in native apps, opening/snapshotting/clicking in browsers, recording and replaying YAML macros that mix desktop and web steps. REQUIRES handsfree-windows CLI (auto-installed on first use via setup.py).

Handsfree Windows Control

A guide skill for automating native Windows apps (UIA) and web browsers (Playwright) via the handsfree-windows CLI.

First use: auto-setup

On first use, run setup before issuing any other commands:

python scripts/setup.py

This will:

  1. Clone handsfree-windows from GitHub into ~/.handsfree-windows/cli/ (public repo, read-only)
  2. Install it via pip install -e (standard pip editable install)
  3. Install Playwright + Chromium browser binaries (~200 MB one-time download from cdn.playwright.dev)
  4. Run check_setup.py to verify everything is working

To skip browser installation (browser-* commands will not work):

python scripts/setup.py --no-browser

To install to a custom directory:

python scripts/setup.py --install-dir "C:\your\preferred\path"

Already installed? Verify anytime:

python scripts/check_setup.py

What is written to disk (transparent)

  • CLI source code: ~/.handsfree-windows/cli/ (or --install-dir)
  • pip editable link: standard site-packages egg-link (pip managed)
  • Browser persistent profiles: ~/.handsfree-windows/browser-profiles/<engine>/

Contains cookies and login sessions. Delete to reset browser auth.

  • Browser session state: ~/.handsfree-windows/browser-state.json (last visited URL)
  • Playwright browser binaries: ~\AppData\Local\ms-playwright\ (~800 MB, Windows)

To fully remove everything:

pip uninstall handsfree-windows -y
Remove-Item -Recurse -Force "$env:USERPROFILE\.handsfree-windows"

Core rules

  • Do not guess UI controls. Run hf tree or hf inspect first, then act on what is actually there.
  • Do not type credentials. Navigate to login screens; let the human complete auth.
  • Prefer UIA selectors (name + control_type) over raw coordinates.
  • Use drag-canvas only for canvas/ink surfaces (Paint, drawing apps, etc.).
  • For destructive actions (delete, submit, send), ask the human for confirmation first.

Workflow: Desktop app (UIA)

# Launch any installed app
hf start --app "Outlook"

# Find the window
hf list-windows --json

# Discover controls (no guessing)
hf tree --title-regex "Outlook" --depth 10 --max-nodes 30000

# Act on what was found
hf click --title "Outlook" --name "New mail" --control-type "Button"

# Inspect element under cursor
hf inspect --json

Workflow: Browser (Playwright)

# Open URL - login sessions saved in profile automatically
hf browser-open --url "https://example.com"

# Inspect page before acting
hf browser-snapshot --fmt text

# Act
hf browser-click --text "Sign in"
hf browser-type --selector "#email" --text "user@example.com"

# Verify
hf browser-screenshot --out result.png

Mixed macro (desktop + web in one YAML)

- action: start
  args:
    app: "My Desktop App"

- action: browser-open
  args:
    url: "https://app.example.com"
    headless: false

- action: browser-click
  args:
    text: "Get Started"

- action: sleep
  args:
    seconds: 1

Run with: hf run macro.yaml


References

  • Full command reference + selector schema: references/api_reference.md

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

93.31%
按下载量换算7,297

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

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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