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Agent Browser Temp
作者
Liguang00806
· GitHub ↗
· v1.0.0
· MIT-0
272
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install agent-browser-temp
功能描述
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured co...
使用说明 (SKILL.md)
Browser Automation with agent-browser
Installation
npm recommended
npm install -g agent-browser
agent-browser install
agent-browser install --with-deps
From Source
git clone https://github.com/vercel-labs/agent-browser
cd agent-browser
pnpm install
pnpm build
agent-browser install
Quick start
agent-browser open \x3Curl> # Navigate to page
agent-browser snapshot -i # Get interactive elements with refs
agent-browser click @e1 # Click element by ref
agent-browser fill @e2 "text" # Fill input by ref
agent-browser close # Close browser
Core workflow
- Navigate:
agent-browser open \x3Curl> - Snapshot:
agent-browser snapshot -i(returns elements with refs like@e1,@e2) - Interact using refs from the snapshot
- Re-snapshot after navigation or significant DOM changes
Commands
Navigation
agent-browser open \x3Curl> # Navigate to URL
agent-browser back # Go back
agent-browser forward # Go forward
agent-browser reload # Reload page
agent-browser close # Close browser
Snapshot (page analysis)
agent-browser snapshot # Full accessibility tree
agent-browser snapshot -i # Interactive elements only (recommended)
agent-browser snapshot -c # Compact output
agent-browser snapshot -d 3 # Limit depth to 3
agent-browser snapshot -s "#main" # Scope to CSS selector
Interactions (use @refs from snapshot)
agent-browser click @e1 # Click
agent-browser dblclick @e1 # Double-click
agent-browser focus @e1 # Focus element
agent-browser fill @e2 "text" # Clear and type
agent-browser type @e2 "text" # Type without clearing
agent-browser press Enter # Press key
agent-browser press Control+a # Key combination
agent-browser keydown Shift # Hold key down
agent-browser keyup Shift # Release key
agent-browser hover @e1 # Hover
agent-browser check @e1 # Check checkbox
agent-browser uncheck @e1 # Uncheck checkbox
agent-browser select @e1 "value" # Select dropdown
agent-browser scroll down 500 # Scroll page
agent-browser scrollintoview @e1 # Scroll element into view
agent-browser drag @e1 @e2 # Drag and drop
agent-browser upload @e1 file.pdf # Upload files
Get information
agent-browser get text @e1 # Get element text
agent-browser get html @e1 # Get innerHTML
agent-browser get value @e1 # Get input value
agent-browser get attr @e1 href # Get attribute
agent-browser get title # Get page title
agent-browser get url # Get current URL
agent-browser get count ".item" # Count matching elements
agent-browser get box @e1 # Get bounding box
Check state
agent-browser is visible @e1 # Check if visible
agent-browser is enabled @e1 # Check if enabled
agent-browser is checked @e1 # Check if checked
Screenshots & PDF
agent-browser screenshot # Screenshot to stdout
agent-browser screenshot path.png # Save to file
agent-browser screenshot --full # Full page
agent-browser pdf output.pdf # Save as PDF
Video recording
agent-browser record start ./demo.webm # Start recording (uses current URL + state)
agent-browser click @e1 # Perform actions
agent-browser record stop # Stop and save video
agent-browser record restart ./take2.webm # Stop current + start new recording
Recording creates a fresh context but preserves cookies/storage from your session. If no URL is provided, it automatically returns to your current page. For smooth demos, explore first, then start recording.
Wait
agent-browser wait @e1 # Wait for element
agent-browser wait 2000 # Wait milliseconds
agent-browser wait --text "Success" # Wait for text
agent-browser wait --url "/dashboard" # Wait for URL pattern
agent-browser wait --load networkidle # Wait for network idle
agent-browser wait --fn "window.ready" # Wait for JS condition
Mouse control
agent-browser mouse move 100 200 # Move mouse
agent-browser mouse down left # Press button
agent-browser mouse up left # Release button
agent-browser mouse wheel 100 # Scroll wheel
Semantic locators (alternative to refs)
agent-browser find role button click --name "Submit"
agent-browser find text "Sign In" click
agent-browser find label "Email" fill "[email protected]"
agent-browser find first ".item" click
agent-browser find nth 2 "a" text
Browser settings
agent-browser set viewport 1920 1080 # Set viewport size
agent-browser set device "iPhone 14" # Emulate device
agent-browser set geo 37.7749 -122.4194 # Set geolocation
agent-browser set offline on # Toggle offline mode
agent-browser set headers '{"X-Key":"v"}' # Extra HTTP headers
agent-browser set credentials user pass # HTTP basic auth
agent-browser set media dark # Emulate color scheme
Cookies & Storage
agent-browser cookies # Get all cookies
agent-browser cookies set name value # Set cookie
agent-browser cookies clear # Clear cookies
agent-browser storage local # Get all localStorage
agent-browser storage local key # Get specific key
agent-browser storage local set k v # Set value
agent-browser storage local clear # Clear all
Network
agent-browser network route \x3Curl> # Intercept requests
agent-browser network route \x3Curl> --abort # Block requests
agent-browser network route \x3Curl> --body '{}' # Mock response
agent-browser network unroute [url] # Remove routes
agent-browser network requests # View tracked requests
agent-browser network requests --filter api # Filter requests
Tabs & Windows
agent-browser tab # List tabs
agent-browser tab new [url] # New tab
agent-browser tab 2 # Switch to tab
agent-browser tab close # Close tab
agent-browser window new # New window
Frames
agent-browser frame "#iframe" # Switch to iframe
agent-browser frame main # Back to main frame
Dialogs
agent-browser dialog accept [text] # Accept dialog
agent-browser dialog dismiss # Dismiss dialog
JavaScript
agent-browser eval "document.title" # Run JavaScript
State management
agent-browser state save auth.json # Save session state
agent-browser state load auth.json # Load saved state
Example: Form submission
agent-browser open https://example.com/form
agent-browser snapshot -i
# Output shows: textbox "Email" [ref=e1], textbox "Password" [ref=e2], button "Submit" [ref=e3]
agent-browser fill @e1 "[email protected]"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i # Check result
Example: Authentication with saved state
# Login once
agent-browser open https://app.example.com/login
agent-browser snapshot -i
agent-browser fill @e1 "username"
agent-browser fill @e2 "password"
agent-browser click @e3
agent-browser wait --url "/dashboard"
agent-browser state save auth.json
# Later sessions: load saved state
agent-browser state load auth.json
agent-browser open https://app.example.com/dashboard
Sessions (parallel browsers)
agent-browser --session test1 open site-a.com
agent-browser --session test2 open site-b.com
agent-browser session list
JSON output (for parsing)
Add --json for machine-readable output:
agent-browser snapshot -i --json
agent-browser get text @e1 --json
Debugging
agent-browser open example.com --headed # Show browser window
agent-browser console # View console messages
agent-browser console --clear # Clear console
agent-browser errors # View page errors
agent-browser errors --clear # Clear errors
agent-browser highlight @e1 # Highlight element
agent-browser trace start # Start recording trace
agent-browser trace stop trace.zip # Stop and save trace
agent-browser record start ./debug.webm # Record from current page
agent-browser record stop # Save recording
agent-browser --cdp 9222 snapshot # Connect via CDP
Troubleshooting
- If the command is not found on Linux ARM64, use the full path in the bin folder.
- If an element is not found, use snapshot to find the correct ref.
- If the page is not loaded, add a wait command after navigation.
- Use --headed to see the browser window for debugging.
Options
- --session \x3Cname> uses an isolated session.
- --json provides JSON output.
- --full takes a full page screenshot.
- --headed shows the browser window.
- --timeout sets the command timeout in milliseconds.
- --cdp \x3Cport> connects via Chrome DevTools Protocol.
Notes
- Refs are stable per page load but change on navigation.
- Always snapshot after navigation to get new refs.
- Use fill instead of type for input fields to ensure existing text is cleared.
Reporting Issues
- Skill issues: Open an issue at https://github.com/TheSethRose/Agent-Browser-CLI
- agent-browser CLI issues: Open an issue at https://github.com/vercel-labs/agent-browser
安全使用建议
This skill is internally consistent: it documents using an external CLI (agent-browser) and requires node/npm. Before installing/using it, verify the upstream agent-browser npm package and GitHub repository (publisher, recent releases, README, and issues) to ensure you trust the code. Prefer installing and testing in an isolated environment (or container/VM) rather than globally on your main system. Be cautious when automating authenticated or internal sites: the tool can read cookies, localStorage, and take recordings or screenshots — do not point it at sensitive pages unless you trust the tool and its installation source.
功能分析
Type: OpenClaw Skill
Name: agent-browser-temp
Version: 1.0.0
The skill bundle provides a powerful interface for browser automation via the 'agent-browser' CLI, documented in SKILL.md, which includes high-risk capabilities such as JavaScript execution (eval), session state management (state save/load), and direct access to cookies and local storage. While these functions are aligned with the stated purpose of web automation, they represent a significant attack surface that could be leveraged for session hijacking or data exfiltration. Additionally, the installation instructions and metadata authorize broad shell execution permissions (Bash(agent-browser:*)) and involve downloading external browser binaries, which are inherently risky behaviors in an agentic environment.
能力评估
Purpose & Capability
Name/description (headless browser automation CLI) match the declared required binaries (node, npm) and the SKILL.md which documents the agent-browser CLI. The declared purpose reasonably explains the commands and interactions included in the instructions.
Instruction Scope
SKILL.md instructs the agent to run many agent-browser CLI commands (navigate, click, fill, snapshot, record, set cookies/storage/headers, upload files). Those actions are expected for a browser automation tool, but they give the agent broad ability to interact with arbitrary web content, read/modify cookies and storage, and record sessions — which could expose sensitive data if used against authenticated or internal sites. The instructions do not tell the agent to read local host files or undeclared environment variables.
Install Mechanism
This is an instruction-only skill with no install spec; SKILL.md recommends installing agent-browser from npm (or GitHub source). Relying on an external npm package is expected for this skill, but you should verify the package's origin and integrity before running global installs. There is no embedded download URL or extract step inside the skill bundle itself.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. That aligns with a CLI wrapper: the runtime tool may accept credentials as arguments but the skill itself does not request unrelated secrets.
Persistence & Privilege
always is false and the skill does not request permanent presence or system-level configuration changes. It simply documents CLI usage and does not attempt to modify other skills or system-wide settings.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install agent-browser-temp - 安装完成后,直接呼叫该 Skill 的名称或使用
/agent-browser-temp触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of Agent Browser – a fast Rust-based headless browser automation CLI with structured commands.
- Enables AI agents (and users) to navigate, interact, fill forms, and extract data from web pages.
- Supports a wide range of commands for navigation, interaction, state checks, screenshots, video recording, cookies/storage, and network interception.
- Provides both element ref-based and semantic locators for flexible DOM automation.
- Offers quick install via npm with Node.js fallback; designed for CLI automation and scripting.
- Comprehensive documentation and interactive workflow examples included in SKILL.md.
元数据
常见问题
Agent Browser Temp 是什么?
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured co... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 272 次。
如何安装 Agent Browser Temp?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-browser-temp」即可一键安装,无需额外配置。
Agent Browser Temp 是免费的吗?
是的,Agent Browser Temp 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Agent Browser Temp 支持哪些平台?
Agent Browser Temp 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Agent Browser Temp?
由 Liguang00806(@liguang00806)开发并维护,当前版本 v1.0.0。
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