agent-browser：专为AI智能体设计的Rust无头浏览器自动化CLI工具

agent-browser-automation by aradotso/trending-skills

321 周安装量

10 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/aradotso/trending-skills --skill agent-browser-automation

自动化命令行工具测试

🇨🇳中文介绍

agent-browser

Skill by ara.so — Daily 2026 Skills collection.

agent-browser 是一个用 Rust 构建的无头浏览器自动化 CLI，专为 AI 智能体设计。它通过 Chrome DevTools 协议 (CDP) 封装 Chrome，并提供了一个快速、符合人体工程学的命令行界面，用于导航、交互、无障碍快照、截图、网络拦截等——无需 Node.js 或 Playwright 运行时。

安装

macOS (Homebrew)

brew install agent-browser
agent-browser install

Rust / Cargo

cargo install agent-browser
agent-browser install

本地项目依赖

npm install agent-browser
# 添加到 package.json 的 scripts 中或通过 npx 调用

Linux (需要系统依赖)

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无障碍快照（推荐用于 AI 智能体）

agent-browser snapshot             # 返回带有 @ref ID 的无障碍树
agent-browser snapshot -i          # 交互式 / 紧凑模式

快照输出包含可以直接使用的 @eN 引用：

@e1 [button] "Submit"
@e2 [textbox] "Email" value=""
@e3 [link] "Sign in"

然后对它们进行操作：

agent-browser fill @e2 "user@example.com"
agent-browser click @e1

agent-browser click <sel>                     # 点击元素
agent-browser dblclick <sel>                  # 双击
agent-browser fill <sel> <text>               # 清空并填充输入框
agent-browser type <sel> <text>               # 向元素内输入文本
agent-browser press <key>                     # 按下按键（Enter, Tab, Control+a）
agent-browser keyboard type <text>            # 在当前焦点处输入（真实按键）
agent-browser keyboard inserttext <text>      # 插入文本（不触发按键事件）
agent-browser hover <sel>                     # 悬停元素
agent-browser select <sel> <value>            # 选择下拉选项
agent-browser check <sel>                     # 勾选复选框
agent-browser uncheck <sel>                   # 取消勾选复选框
agent-browser scroll down 500                 # 滚动（up/down/left/right，可选像素值）
agent-browser scroll down --selector "#feed"  # 在元素内滚动
agent-browser scrollintoview <sel>            # 将元素滚动到视图中
agent-browser drag <src> <target>             # 拖放
agent-browser upload <sel> /path/file.pdf     # 上传文件

agent-browser screenshot                          # 保存到临时目录，打印路径
agent-browser screenshot page.png                 # 保存到指定路径
agent-browser screenshot --full page.png          # 全页面截图
agent-browser screenshot --annotate               # 叠加带编号的元素标签
agent-browser screenshot --screenshot-dir ./shots # 自定义输出目录
agent-browser screenshot --screenshot-format jpeg --screenshot-quality 80
agent-browser pdf output.pdf                      # 将页面保存为 PDF

agent-browser get text <sel>           # 文本内容
agent-browser get html <sel>           # innerHTML
agent-browser get value <sel>          # 输入框的值
agent-browser get attr <sel> <attr>    # 属性值
agent-browser get count <sel>          # 匹配元素的数量
agent-browser get box <sel>            # 边界框
agent-browser get styles <sel>         # 计算后的样式
agent-browser get cdp-url              # CDP WebSocket URL

agent-browser is visible <sel>
agent-browser is enabled <sel>
agent-browser is checked <sel>

语义定位器 (find)

agent-browser find role button click --name "Submit"
agent-browser find text "Sign In" click
agent-browser find label "Email" fill "test@example.com"
agent-browser find placeholder "Search..." fill "rust"
agent-browser find testid "login-btn" click
agent-browser find first ".item" click
agent-browser find nth 2 "a" text
agent-browser find role textbox fill "hello" --name "Username"

操作： click, fill, type, hover, focus, check, uncheck, text

agent-browser wait "#modal"                          # 等待元素可见
agent-browser wait 2000                              # 等待 N 毫秒
agent-browser wait --text "Welcome back"             # 等待文本出现
agent-browser wait --url "**/dashboard"              # 等待 URL 模式匹配
agent-browser wait --load networkidle                # 等待加载状态
agent-browser wait --fn "window.appReady === true"   # 等待 JS 条件满足
agent-browser wait "#spinner" --state hidden         # 等待元素消失

加载状态： load, domcontentloaded, networkidle

agent-browser eval "document.title"
agent-browser eval "JSON.stringify(window.__STATE__)"
agent-browser eval -b "BASE64_ENCODED_JS"
echo "return document.body.innerHTML" | agent-browser eval --stdin

批量执行（高效的多步骤操作）

echo '[
  ["open", "https://example.com"],
  ["snapshot", "-i"],
  ["fill", "@e2", "user@example.com"],
  ["click", "@e1"],
  ["screenshot", "result.png"]
]' | agent-browser batch --json

# 首次失败即停止
agent-browser batch --bail < commands.json

agent-browser tab                    # 列出标签页
agent-browser tab new https://...    # 新标签页打开 URL
agent-browser tab 2                  # 切换到第 2 个标签页
agent-browser tab close              # 关闭当前标签页
agent-browser frame "#my-iframe"     # 切换到 iframe 内
agent-browser frame main             # 返回到主框架

agent-browser cookies
agent-browser cookies set session_id "abc123"
agent-browser cookies clear

agent-browser storage local
agent-browser storage local set theme dark
agent-browser storage local clear
agent-browser storage session set cart '{"items":[]}'

agent-browser network route "**/api/users" --body '{"users":[]}'  # 模拟响应
agent-browser network route "**/ads/**" --abort                    # 阻断请求
agent-browser network unroute                                       # 移除所有路由
agent-browser network requests --filter api                        # 查看请求
agent-browser network har start
agent-browser network har stop recording.har

agent-browser set viewport 1280 800
agent-browser set viewport 375 812 2        # 带设备像素比（视网膜屏）
agent-browser set device "iPhone 14"
agent-browser set geo 37.7749 -122.4194
agent-browser set offline on
agent-browser set headers '{"X-Custom":"value"}'
agent-browser set credentials admin secret
agent-browser set media dark

agent-browser state save ./auth.json    # 保存 cookies + localStorage
agent-browser state load ./auth.json    # 恢复认证状态
agent-browser state list                # 列出已保存的状态
agent-browser state show auth.json      # 已保存状态的摘要

agent-browser dialog accept             # 接受 alert/confirm/prompt
agent-browser dialog accept "My input"  # 接受 prompt 并输入文本
agent-browser dialog dismiss

agent-browser clipboard read
agent-browser clipboard write "Hello, World!"
agent-browser clipboard copy           # Ctrl+C 复制当前选中内容
agent-browser clipboard paste          # Ctrl+V 粘贴

差异对比与视觉测试

agent-browser diff snapshot                                  # 与上一次快照对比
agent-browser diff snapshot --baseline before.txt            # 与保存的文件对比
agent-browser diff snapshot --selector "#main" --compact
agent-browser diff screenshot --baseline before.png
agent-browser diff screenshot --baseline b.png -o diff.png
agent-browser diff url https://v1.example.com https://v2.example.com
agent-browser diff url https://v1.example.com https://v2.example.com --screenshot
agent-browser diff url https://v1.example.com https://v2.example.com --selector "#content"

agent-browser trace start trace.zip
agent-browser trace stop
agent-browser profiler start
agent-browser profiler stop profile.json
agent-browser console                  # 查看控制台消息
agent-browser errors                   # 查看未捕获的 JS 异常
agent-browser highlight "#button"      # 视觉高亮元素
agent-browser inspect                  # 打开 Chrome DevTools
agent-browser connect 9222             # 通过 CDP 端口连接到已运行的浏览器

登录流程并保存会话

#!/bin/bash
agent-browser open https://app.example.com/login
agent-browser fill "#email" "$LOGIN_EMAIL"
agent-browser fill "#password" "$LOGIN_PASSWORD"
agent-browser click "[type=submit]"
agent-browser wait --url "**/dashboard"
agent-browser state save ./session.json

基于快照交互的 AI 智能体循环

#!/bin/bash
agent-browser open https://app.example.com
agent-browser state load ./session.json

# 获取快照，解析 @refs，执行操作
SNAPSHOT=$(agent-browser snapshot)
echo "$SNAPSHOT"

# 智能体确定 @e5 是搜索框
agent-browser fill @e5 "quarterly report"
agent-browser press Enter
agent-browser wait --load networkidle
agent-browser snapshot
agent-browser screenshot results.png

从脚本执行批量命令 (JSON)

cat > commands.json << 'EOF'
[
  ["open", "https://news.ycombinator.com"],
  ["wait", "--load", "networkidle"],
  ["get", "title"],
  ["snapshot"],
  ["screenshot", "hn.png"]
]
EOF

agent-browser batch --json < commands.json

使用模拟网络进行抓取

agent-browser open https://api-heavy-app.example.com
agent-browser network route "**/api/slow-endpoint" --body '{"data":"mocked"}'
agent-browser snapshot
agent-browser network unroute

带标注的全页面截图

agent-browser open https://example.com
agent-browser wait --load networkidle
agent-browser screenshot --full --annotate annotated.png

连接到已运行的 Chrome

# 启动 Chrome 并启用远程调试
google-chrome --remote-debugging-port=9222 &

agent-browser connect 9222
agent-browser open https://example.com
agent-browser snapshot

agent-browser set device "iPhone 14"
agent-browser open https://example.com
agent-browser screenshot mobile.png

用于网络分析的 HAR 录制

agent-browser open https://example.com
agent-browser network har start
agent-browser click "#load-data"
agent-browser wait --load networkidle
agent-browser network har stop session.har

格式	示例	说明
`@ref`	`@e1`, `@e12`	来自 `snapshot` 输出 — AI 首选
CSS	`#id`, `.class`, `[attr=val]`	标准 CSS 选择器
文本	`"Sign In"`	精确文本匹配
XPath	`//button[@type='submit']`	完整 XPath

agent-browser install              # 下载 Chrome for Testing
agent-browser install --with-deps  # Linux：同时安装系统库

元素未找到 / 时序问题

agent-browser wait "#my-element"              # 先等待元素可见
agent-browser wait --load networkidle         # 等待页面稳定
agent-browser wait --fn "!!document.querySelector('#app')"

选择器问题 — 改用快照引用

# 替代脆弱的 CSS：
agent-browser click ".btn.btn-primary.submit-form"

# 使用快照引用：
agent-browser snapshot  # 找到 @e7 = [button] "Submit"
agent-browser click @e7

agent-browser screenshot debug.png        # 视觉检查
agent-browser snapshot                    # 无障碍树
agent-browser console                     # JS 控制台输出
agent-browser errors                      # 未捕获的异常
agent-browser eval "document.readyState"

会话间的认证问题

agent-browser state save ./auth.json   # 成功登录后
agent-browser state load ./auth.json   # 下次会话开始时

处理弹窗/对话框

# 在触发对话框的操作之前设置处理程序
agent-browser dialog accept
agent-browser click "#delete-button"

性能 — 对多步骤工作流使用批量执行

# 慢：每个命令一个进程
agent-browser open https://example.com
agent-browser fill "#q" "search"
agent-browser click "#submit"

# 快：单个进程，多个命令
echo '[["open","https://example.com"],["fill","#q","search"],["click","#submit"]]' \
  | agent-browser batch --json

🇺🇸English

agent-browser

Skill by ara.so — Daily 2026 Skills collection.

agent-browser is a headless browser automation CLI built in Rust, designed for AI agents. It wraps Chrome via the Chrome DevTools Protocol (CDP) and exposes a fast, ergonomic command-line interface for navigation, interaction, accessibility snapshots, screenshots, network interception, and more — with no Node.js or Playwright runtime required.

Installation

Recommended (npm global)

npm install -g agent-browser
agent-browser install  # Download Chrome for Testing (first time only)

macOS (Homebrew)

brew install agent-browser
agent-browser install

Rust / Cargo

cargo install agent-browser
agent-browser install

Local project dependency

npm install agent-browser
# Add to package.json scripts or invoke via npx

Linux (with system dependencies)

agent-browser install --with-deps

Quick Start

agent-browser open https://example.com
agent-browser snapshot                        # Accessibility tree with @refs (best for AI)
agent-browser click @e2                       # Click by ref from snapshot
agent-browser fill @e3 "hello@example.com"   # Fill by ref
agent-browser get text @e1                    # Get text content
agent-browser screenshot page.png
agent-browser close

Core Commands

Navigation

agent-browser open <url>           # Navigate (aliases: goto, navigate)
agent-browser get url              # Get current URL
agent-browser get title            # Get page title
agent-browser close                # Close browser (aliases: quit, exit)

Accessibility Snapshot (recommended for AI agents)

agent-browser snapshot             # Returns accessibility tree with @ref IDs
agent-browser snapshot -i          # Interactive / compact mode

Snapshot output includes @eN refs you can use directly:

@e1 [button] "Submit"
@e2 [textbox] "Email" value=""
@e3 [link] "Sign in"

Then act on them:

agent-browser fill @e2 "user@example.com"
agent-browser click @e1

Interaction

agent-browser click <sel>                     # Click element
agent-browser dblclick <sel>                  # Double-click
agent-browser fill <sel> <text>               # Clear and fill input
agent-browser type <sel> <text>               # Type into element
agent-browser press <key>                     # Press key (Enter, Tab, Control+a)
agent-browser keyboard type <text>            # Type at current focus (real keystrokes)
agent-browser keyboard inserttext <text>      # Insert text without key events
agent-browser hover <sel>                     # Hover element
agent-browser select <sel> <value>            # Select dropdown option
agent-browser check <sel>                     # Check checkbox
agent-browser uncheck <sel>                   # Uncheck checkbox
agent-browser scroll down 500                 # Scroll (up/down/left/right, optional px)
agent-browser scroll down --selector "#feed"  # Scroll within element
agent-browser scrollintoview <sel>            # Scroll element into view
agent-browser drag <src> <target>             # Drag and drop
agent-browser upload <sel> /path/file.pdf     # Upload file

Screenshots & PDF

agent-browser screenshot                          # Save to temp dir, print path
agent-browser screenshot page.png                 # Save to path
agent-browser screenshot --full page.png          # Full-page screenshot
agent-browser screenshot --annotate               # Numbered element labels overlay
agent-browser screenshot --screenshot-dir ./shots # Custom output directory
agent-browser screenshot --screenshot-format jpeg --screenshot-quality 80
agent-browser pdf output.pdf                      # Save page as PDF

Getting Element Info

agent-browser get text <sel>           # Text content
agent-browser get html <sel>           # innerHTML
agent-browser get value <sel>          # Input value
agent-browser get attr <sel> <attr>    # Attribute value
agent-browser get count <sel>          # Count matching elements
agent-browser get box <sel>            # Bounding box
agent-browser get styles <sel>         # Computed styles
agent-browser get cdp-url              # CDP WebSocket URL

State Checks

agent-browser is visible <sel>
agent-browser is enabled <sel>
agent-browser is checked <sel>

Semantic Locators (find)

agent-browser find role button click --name "Submit"
agent-browser find text "Sign In" click
agent-browser find label "Email" fill "test@example.com"
agent-browser find placeholder "Search..." fill "rust"
agent-browser find testid "login-btn" click
agent-browser find first ".item" click
agent-browser find nth 2 "a" text
agent-browser find role textbox fill "hello" --name "Username"

Actions: click, fill, type, hover, focus, check, uncheck, text

Waiting

agent-browser wait "#modal"                          # Wait for element visible
agent-browser wait 2000                              # Wait N milliseconds
agent-browser wait --text "Welcome back"             # Wait for text
agent-browser wait --url "**/dashboard"              # Wait for URL pattern
agent-browser wait --load networkidle                # Wait for load state
agent-browser wait --fn "window.appReady === true"   # Wait for JS condition
agent-browser wait "#spinner" --state hidden         # Wait for element to disappear

Load states: load, domcontentloaded, networkidle

JavaScript Eval

agent-browser eval "document.title"
agent-browser eval "JSON.stringify(window.__STATE__)"
agent-browser eval -b "BASE64_ENCODED_JS"
echo "return document.body.innerHTML" | agent-browser eval --stdin

Batch Execution (efficient multi-step)

echo '[
  ["open", "https://example.com"],
  ["snapshot", "-i"],
  ["fill", "@e2", "user@example.com"],
  ["click", "@e1"],
  ["screenshot", "result.png"]
]' | agent-browser batch --json

# Stop on first failure
agent-browser batch --bail < commands.json

Tabs & Frames

agent-browser tab                    # List tabs
agent-browser tab new https://...    # New tab with URL
agent-browser tab 2                  # Switch to tab 2
agent-browser tab close              # Close current tab
agent-browser frame "#my-iframe"     # Switch into iframe
agent-browser frame main             # Return to main frame

Cookies & Storage

agent-browser cookies
agent-browser cookies set session_id "abc123"
agent-browser cookies clear

agent-browser storage local
agent-browser storage local set theme dark
agent-browser storage local clear
agent-browser storage session set cart '{"items":[]}'

Network

agent-browser network route "**/api/users" --body '{"users":[]}'  # Mock response
agent-browser network route "**/ads/**" --abort                    # Block requests
agent-browser network unroute                                       # Remove all routes
agent-browser network requests --filter api                        # View requests
agent-browser network har start
agent-browser network har stop recording.har

Browser Settings

agent-browser set viewport 1280 800
agent-browser set viewport 375 812 2        # With device pixel ratio (retina)
agent-browser set device "iPhone 14"
agent-browser set geo 37.7749 -122.4194
agent-browser set offline on
agent-browser set headers '{"X-Custom":"value"}'
agent-browser set credentials admin secret
agent-browser set media dark

Auth State

agent-browser state save ./auth.json    # Save cookies + localStorage
agent-browser state load ./auth.json    # Restore auth state
agent-browser state list                # List saved states
agent-browser state show auth.json      # Summary of saved state

Dialogs

agent-browser dialog accept             # Accept alert/confirm/prompt
agent-browser dialog accept "My input"  # Accept prompt with text
agent-browser dialog dismiss

Clipboard

agent-browser clipboard read
agent-browser clipboard write "Hello, World!"
agent-browser clipboard copy           # Ctrl+C current selection
agent-browser clipboard paste          # Ctrl+V

Diff & Visual Testing

agent-browser diff snapshot                                  # vs last snapshot
agent-browser diff snapshot --baseline before.txt            # vs saved file
agent-browser diff snapshot --selector "#main" --compact
agent-browser diff screenshot --baseline before.png
agent-browser diff screenshot --baseline b.png -o diff.png
agent-browser diff url https://v1.example.com https://v2.example.com
agent-browser diff url https://v1.example.com https://v2.example.com --screenshot
agent-browser diff url https://v1.example.com https://v2.example.com --selector "#content"

Debug & Profiling

agent-browser trace start trace.zip
agent-browser trace stop
agent-browser profiler start
agent-browser profiler stop profile.json
agent-browser console                  # View console messages
agent-browser errors                   # View uncaught JS exceptions
agent-browser highlight "#button"      # Visually highlight element
agent-browser inspect                  # Open Chrome DevTools
agent-browser connect 9222             # Connect to existing browser via CDP port

Common Patterns

Login flow and save session

#!/bin/bash
agent-browser open https://app.example.com/login
agent-browser fill "#email" "$LOGIN_EMAIL"
agent-browser fill "#password" "$LOGIN_PASSWORD"
agent-browser click "[type=submit]"
agent-browser wait --url "**/dashboard"
agent-browser state save ./session.json

AI agent loop with snapshot-driven interaction

#!/bin/bash
agent-browser open https://app.example.com
agent-browser state load ./session.json

# Get snapshot, parse @refs, act
SNAPSHOT=$(agent-browser snapshot)
echo "$SNAPSHOT"

# Agent determines @e5 is the search box
agent-browser fill @e5 "quarterly report"
agent-browser press Enter
agent-browser wait --load networkidle
agent-browser snapshot
agent-browser screenshot results.png

Batch commands from a script (JSON)

cat > commands.json << 'EOF'
[
  ["open", "https://news.ycombinator.com"],
  ["wait", "--load", "networkidle"],
  ["get", "title"],
  ["snapshot"],
  ["screenshot", "hn.png"]
]
EOF

agent-browser batch --json < commands.json

Scrape with mocked network

agent-browser open https://api-heavy-app.example.com
agent-browser network route "**/api/slow-endpoint" --body '{"data":"mocked"}'
agent-browser snapshot
agent-browser network unroute

Full-page screenshot with annotations

agent-browser open https://example.com
agent-browser wait --load networkidle
agent-browser screenshot --full --annotate annotated.png

Connect to already-running Chrome

# Start Chrome with remote debugging
google-chrome --remote-debugging-port=9222 &

agent-browser connect 9222
agent-browser open https://example.com
agent-browser snapshot

Emulate mobile device

agent-browser set device "iPhone 14"
agent-browser open https://example.com
agent-browser screenshot mobile.png

HAR recording for network analysis

agent-browser open https://example.com
agent-browser network har start
agent-browser click "#load-data"
agent-browser wait --load networkidle
agent-browser network har stop session.har

Selector Reference

Format	Example	Notes
`@ref`	`@e1`, `@e12`	From `snapshot` output — preferred for AI
CSS	`#id`, `.class`, `[attr=val]`	Standard CSS selectors
Text	`"Sign In"`

Troubleshooting

Chrome not found

agent-browser install              # Downloads Chrome for Testing
agent-browser install --with-deps  # Linux: also installs system libs

Element not found / timing issues

agent-browser wait "#my-element"              # Wait for visibility first
agent-browser wait --load networkidle         # Wait for page to settle
agent-browser wait --fn "!!document.querySelector('#app')"

Selector issues — use snapshot refs instead

# Instead of fragile CSS:
agent-browser click ".btn.btn-primary.submit-form"

# Use snapshot refs:
agent-browser snapshot  # Find @e7 = [button] "Submit"
agent-browser click @e7

Debug what's on the page

agent-browser screenshot debug.png        # Visual check
agent-browser snapshot                    # Accessibility tree
agent-browser console                     # JS console output
agent-browser errors                      # Uncaught exceptions
agent-browser eval "document.readyState"

Auth issues between sessions

agent-browser state save ./auth.json   # After successful login
agent-browser state load ./auth.json   # At start of next session

Handling alerts/dialogs

# Set up handler BEFORE the action that triggers dialog
agent-browser dialog accept
agent-browser click "#delete-button"

Performance — use batch for multi-step workflows

# Slow: one process per command
agent-browser open https://example.com
agent-browser fill "#q" "search"
agent-browser click "#submit"

# Fast: single process, multiple commands
echo '[["open","https://example.com"],["fill","#q","search"],["click","#submit"]]' \
  | agent-browser batch --json

Weekly Installs

321

Repository

aradotso/trending-skills

GitHub Stars

First Seen

7 days ago

Security Audits

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Installed on

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Skills CLI 使用指南：AI Agent 技能包管理器安装与管理教程

19,000 周安装

agent-browser：专为AI智能体设计的Rust无头浏览器自动化CLI工具

🇨🇳中文介绍

agent-browser

安装

推荐方式 (npm 全局安装)

macOS (Homebrew)

Rust / Cargo

本地项目依赖

Linux (需要系统依赖)

相关 Skills

快速开始

核心命令

导航

无障碍快照（推荐用于 AI 智能体）

交互

截图与 PDF

获取元素信息

状态检查

语义定位器 (find)

等待

JavaScript 执行

批量执行（高效的多步骤操作）

标签页与框架

Cookies 与存储

网络

浏览器设置

认证状态

对话框

剪贴板

差异对比与视觉测试

调试与分析

常用模式

登录流程并保存会话

基于快照交互的 AI 智能体循环

从脚本执行批量命令 (JSON)

使用模拟网络进行抓取

带标注的全页面截图

连接到已运行的 Chrome

模拟移动设备

用于网络分析的 HAR 录制

选择器参考

故障排除

未找到 Chrome

元素未找到 / 时序问题

选择器问题 — 改用快照引用

调试页面内容

会话间的认证问题

处理弹窗/对话框

性能 — 对多步骤工作流使用批量执行

🇺🇸English

agent-browser

Installation

Recommended (npm global)

macOS (Homebrew)

Rust / Cargo

Local project dependency

Linux (with system dependencies)

Quick Start

Core Commands

Navigation

Accessibility Snapshot (recommended for AI agents)

Interaction

Screenshots & PDF

Getting Element Info

State Checks

Semantic Locators (find)

Waiting

JavaScript Eval

Batch Execution (efficient multi-step)

Tabs & Frames

Cookies & Storage

Network

Browser Settings

Auth State

Dialogs

Clipboard

Diff & Visual Testing

Debug & Profiling

Common Patterns

Login flow and save session