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在 OpenClaw 中安装
/install agent-browser-cn
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
Before installing or invoking this skill: 1) Verify provenance — check the npm package and the GitHub repository referenced in SKILL.md (the registry entry lacks a homepage and the skill bundle metadata contains inconsistent owner/version fields). 2) Prefer inspecting the agent-browser package on npm and its GitHub release tags yourself before running 'npm install -g'. 3) Avoid running it against accounts or pages with sensitive data unless you trust the package and/or run it in a sandboxed environment, because snapshots/screenshots and stdout output can capture secrets. 4) Treat the 'agent-browser install --with-deps' step as potentially downloading additional binaries; if possible, review what it downloads or use an isolated VM/container. 5) If you need higher assurance, ask the publisher for authoritative source URLs, signed releases, or a reproducible build instruction; resolve the owner/version mismatch in the metadata before trusting this skill.
功能分析
Type: OpenClaw Skill
Name: agent-browser-cn
Version: 1.0.0
The skill provides a comprehensive interface for the 'agent-browser' CLI, which includes high-risk capabilities such as arbitrary JavaScript execution (eval), session state persistence (state save/load), and full access to cookies and local storage. While these features are aligned with the stated purpose of browser automation and no evidence of intentional malice or prompt injection was found in SKILL.md, the broad access to sensitive browser data and network interception tools meets the threshold for suspicious classification. The skill references legitimate external resources including the vercel-labs/agent-browser repository.
能力评估
Purpose & Capability
The SKILL.md documents a browser-automation CLI (navigate, snapshot, click, fill, screenshot, record) which aligns with the skill name and description. Requiring node/npm is consistent with the documented npm installation and Node fallback. However, the description claims a "Rust-based" implementation with a Node fallback while the manifest only shows Node/npm instructions; the skill's Source/Homepage are both unknown, and the registry metadata in the header (owner/version) does not match the _meta.json contents (different ownerId and version). These metadata inconsistencies reduce trust in provenance.
Instruction Scope
The SKILL.md stays on-topic: it instructs installing and using the agent-browser CLI and lists commands for navigation, inspection, interaction, screenshots, recording, etc. It does not instruct the agent to read unrelated system files or environment variables. Note: the documented commands (snapshots, screenshot to stdout, get html/text) can capture and expose sensitive page content — this is expected for this type of tool but is a privacy/exfiltration risk if used against authenticated or sensitive pages.
Install Mechanism
There is no formal install spec in the skill bundle; instead SKILL.md recommends 'npm install -g agent-browser' and an 'agent-browser install --with-deps' step, plus an optional git clone from github.com/vercel-labs/agent-browser and pnpm build. Using npm global installs and an install-with-deps command can download and execute code and native binaries from external sources. While npm and GitHub are common release hosts (lower risk than arbitrary URLs), the absence of a declared source/homepage in the registry entry and the metadata mismatch mean provenance is unclear. The 'install --with-deps' step is opaque and could pull additional binaries.
Credentials
The skill does not declare or require any environment variables or credentials. SKILL.md shows commands to set per-session headers/credentials in the CLI (e.g., basic auth, headers) but those are local to the tool and do not require platform secrets. No unrelated cloud credentials or secret environment variables are requested.
Persistence & Privilege
The skill is not marked always:true and does not request persistent system-wide configuration or access to other skills' settings. It is user-invocable and allows autonomous model invocation by default (normal for skills).
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-cn - 安装完成后,直接呼叫该 Skill 的名称或使用
/agent-browser-cn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 CLI, a fast Rust-based headless browser automation tool.
- Supports navigation, clicking, typing, and structured page snapshots via command line.
- Provides easy interaction with web elements using references (@e1, @e2) from snapshots.
- Includes commands for extracting data, filling forms, taking screenshots, PDFs, and recording video of sessions.
- Enables programmatic control of tabs, windows, frames, dialogs, storage, cookies, and network routes.
- Offers semantic locators (role, text, label) as alternatives to element refs for robust automation.
- Compatible with Node.js as a fallback; installation instructions included for npm and source.
元数据
常见问题
Agent Browser Cn 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 114 次。
如何安装 Agent Browser Cn?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-browser-cn」即可一键安装,无需额外配置。
Agent Browser Cn 是免费的吗?
是的,Agent Browser Cn 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Agent Browser Cn 支持哪些平台?
Agent Browser Cn 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 Cn?
由 聿歆(@v585)开发并维护,当前版本 v1.0.0。
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