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broswer use skill

这是一款通过AIPex Chrome扩展控制Chrome的终端工具,核心功能包括tab管理、元素交互(点击/填充)、截图、内容下载、工作流自动化等。支持无MCP客户端时,通过shell命令或脚本完成浏览器操作,适用于终端控制、CI自动化、脚本编排等场景。输入为命令行指令,输出操作结果,守护进程自动启停,仅需首次配置扩展连接。

buttercannfly
buttercannfly
热度 41.30
最近更新 2026-05-18 11:26:21
分类:自动化依赖:代码执行 / 第三方 API / 读写文件应用场景:自动化脚本 / 工作流 / DevOps

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add browser-cli-skills
Metadata
name
browser-cli
description
Control Chrome browsers from the terminal via the AIPex extension. Use this skill when the agent needs to manage browser tabs, search page elements, click buttons, fill forms, capture screenshots, or download content — all through shell commands without an MCP client.
version
1.0.0
metadata
{"openclaw":{"requires":{"bins":["node","npm"]},"emoji":"🖥️","homepage":"https://github.com/AIPexStudio/browser-cli","os":["macos","linux","windows"]}}

browser-cli — Terminal Browser Control

browser-cli is a command-line tool that controls Chrome browsers through the AIPex extension's WebSocket daemon. It translates shell commands into browser actions — managing tabs, clicking elements, filling forms, capturing screenshots, and more.

Architecture:

browser-cli ──WebSocket──▶ aipex-daemon ──WebSocket──▶ AIPex Chrome Extension ──▶ Browser APIs

The daemon auto-spawns on first use and self-terminates when idle. No manual setup beyond initial extension connection.


When to Use This Skill

Use this skill when the user wants to:

  • Control a Chrome browser from the terminal without an MCP client
  • Open, close, switch, or organize browser tabs via CLI
  • Search for page elements and interact with them (click, fill, hover)
  • Capture screenshots of browser tabs
  • Automate browser workflows in shell scripts or CI pipelines
  • Download page content as markdown or images
  • Request human input during automated browser tasks
  • Manage AIPex skills from the command line

Trigger phrases: "browser-cli", "control browser from terminal", "browser automation CLI", "click element from shell", "terminal browser control", "command line browser", "shell browser automation"


Prerequisites

  • Node.js >= 18 installed
  • AIPex Chrome extension installed and connected to the daemon
  • browser-cli installed globally: npm install -g browser-cli

First-time Setup

After installing, connect the AIPex extension to the daemon:

  1. Open Chrome → AIPex extension icon → Options
  2. Set WebSocket URL to ws://localhost:9223/extension
  3. Click Connect
  4. Verify: browser-cli status

Command Groups

tab — Manage browser tabs

browser-cli tab list                         # List all open tabs
browser-cli tab current                      # Get the active tab
browser-cli tab new https://example.com      # Open a new tab
browser-cli tab switch 42                    # Switch to tab by ID
browser-cli tab close 42                     # Close a tab
browser-cli tab info 42                      # Get tab details
browser-cli tab organize                     # AI-powered tab grouping
browser-cli tab ungroup                      # Remove all tab groups

page — Inspect and interact with page content

browser-cli page search "button*" --tab 123              # Search elements by glob pattern
browser-cli page search "{input,textarea}*" --tab 123    # Search multiple element types
browser-cli page screenshot                               # Screenshot active tab
browser-cli page screenshot-tab 123 --send-to-llm true   # Screenshot with LLM analysis
browser-cli page metadata --tab 123                       # Get page metadata
browser-cli page scroll-to "#main-content"                # Scroll to element
browser-cli page highlight "button.submit"                # Highlight element
browser-cli page highlight-text "p" "important"           # Highlight text in content

interact — Click, fill, hover, and type

browser-cli interact click btn-42 --tab 123                         # Click by UID
browser-cli interact fill input-5 "hello world" --tab 123           # Fill input by UID
browser-cli interact hover menu-3 --tab 123                         # Hover by UID
browser-cli interact form --tab 123 --elements '[{"uid":"in-1","value":"foo"}]'  # Batch fill
browser-cli interact editor editor-1 --tab 123                     # Get editor content
browser-cli interact upload --tab 123 --file-path /path/to/file    # Upload file
browser-cli interact computer --action left_click --coordinate "[500,300]"  # Pixel-level click

download — Save content locally

browser-cli download markdown --text "# Notes" --filename notes    # Save as markdown
browser-cli download image --data "data:image/png;base64,..."      # Save image
browser-cli download chat-images --messages '[...]' --folder imgs   # Batch save images

intervention — Request human input

browser-cli intervention list                                       # List intervention types
browser-cli intervention info voice-input                           # Get type details
browser-cli intervention request voice-input --reason "Need input"  # Request intervention
browser-cli intervention cancel                                     # Cancel active request

skill — Manage AIPex skills

browser-cli skill list                                    # List all skills
browser-cli skill load my-skill                           # Load skill content
browser-cli skill info my-skill                           # Skill details
browser-cli skill run my-skill scripts/init.js            # Execute skill script
browser-cli skill ref my-skill references/guide.md        # Read skill reference
browser-cli skill asset my-skill assets/icon.png          # Get skill asset

Standalone commands

browser-cli status    # Check daemon + extension connection
browser-cli update    # Self-update to latest version

Workflow: Search, Interact, Verify

The recommended pattern for browser automation:

# 1. Discover tabs
browser-cli tab list

# 2. Search for elements (fast, no screenshot needed)
browser-cli page search "{button,input,link}*" --tab 123

# 3. Interact using UIDs from search results
browser-cli interact click btn-submit --tab 123
# or
browser-cli interact fill input-email "user@example.com" --tab 123

# 4. Verify visually (only when needed)
browser-cli page screenshot

Login form example

browser-cli page search "{input,textbox}*" --tab 123
browser-cli interact fill input-email "user@example.com" --tab 123
browser-cli interact fill input-pass "secret" --tab 123
browser-cli page search "*[Ll]ogin*" --tab 123
browser-cli interact click btn-login --tab 123

Shell script example

#!/bin/bash
browser-cli tab new https://example.com
sleep 2
TAB_ID=$(browser-cli tab current | jq '.data.id')
browser-cli page search "link*" --tab "$TAB_ID"
browser-cli page screenshot

Global Options

Option Default Description
--port <n> 9223 Daemon WebSocket port
--host <h> 127.0.0.1 Daemon host address

Environment Variables

Variable Default Description
BROWSER_CLI_WS_URL ws://127.0.0.1:9223/cli Override daemon WebSocket URL
BROWSER_CLI_CONNECT_TIMEOUT 60000 Connection timeout (ms)

Troubleshooting

Symptom Fix
Daemon not running Run any command to auto-spawn, or check with browser-cli status
Extension is not connected Open AIPex Options → WebSocket URL ws://localhost:9223/extension → Connect
Port 9223 in use Use --port 9224 and update extension URL
Timeout after 60s Verify extension is connected. Increase with BROWSER_CLI_CONNECT_TIMEOUT=120000
0 search results Try different patterns. Fall back to page screenshot --send-to-llm true + interact computer
Wrong results Verify tab ID with browser-cli tab list