AgentSkillsCN

agent-browser

面向 AI 智能体的无头浏览器自动化 CLI。涵盖命令、引用、会话、快照、云服务提供商、配置文件等核心功能。关键词：智能体浏览器、浏览器自动化、引用、快照。

SKILL.md
--- frontmatter
name: agent-browser
description: "Headless browser automation CLI for AI agents. Covers commands, refs, sessions, snapshots, cloud providers, profiles. Keywords: agent-browser, browser automation, refs, snapshot."
version: "0.8.6"
release_date: "2026-02-01"

# Agent Browser

Headless browser automation CLI for AI agents. Fast Rust CLI with Node.js fallback.

Works with: Claude Code, Cursor, GitHub Copilot, OpenAI Codex, Google Gemini, opencode.

## Quick Navigation

| Topic        | Reference                                     |
|

--------- | --------------------------------------------- | | Installation | installation.md | | Commands | commands.md | | Refs | refs.md | | Advanced | advanced.md |

When to Use

  • •Automating browser tasks in AI agent workflows
  • •Web scraping with AI-friendly output
  • •Testing web applications with LLM agents
  • •Managing multiple browser sessions with isolated auth

Core Concepts

Refs (Element References)

The snapshot command returns an accessibility tree where each element has a unique ref like @e1, @e2:

  • •Deterministic - ref points to exact element from snapshot
  • •Fast - no DOM re-query needed
  • •AI-friendly - LLMs can reliably parse and use refs

Architecture

Client-daemon architecture:

  1. •Rust CLI - parses commands, communicates with daemon
  2. •Node.js Daemon - manages Playwright browser instance

Daemon starts automatically and persists between commands.

v0.8.6 improves daemon reliability by cleaning stale socket/PID files and retrying transient connection errors.

Quick Example

bash
# Navigate and get snapshot
agent-browser open example.com
agent-browser snapshot                    # Get accessibility tree with refs
agent-browser click @e2                   # Click by ref from snapshot
agent-browser fill @e3 "test@example.com" # Fill input by ref
agent-browser get text @e1                # Get text by ref
agent-browser screenshot page.png         # Save screenshot
agent-browser close

AI Workflow Pattern

Optimal workflow for AI agents:

bash
# 1. Navigate and get snapshot
agent-browser open example.com
agent-browser snapshot -i --json   # AI parses tree and refs

# 2. AI identifies target refs from snapshot

# 3. Execute actions using refs
agent-browser click @e2
agent-browser fill @e3 "input text"

# 4. Get new snapshot if page changed
agent-browser snapshot -i --json

Headed Mode (Debugging)

bash
agent-browser open example.com --headed

JSON Output

Use --json for machine-readable output:

bash
agent-browser snapshot --json
agent-browser get text @e1 --json
agent-browser is visible @e2 --json

Critical Prohibitions

  • •Do not use CSS/XPath selectors when refs are available (use @e1, @e2, etc.)
  • •Do not forget to close sessions when done
  • •Do not assume element positions without taking a fresh snapshot
  • •Do not use old refs after page navigation or content changes (re-snapshot)

Common Commands

bash
# Navigation
agent-browser open <url>
agent-browser back / forward / reload
agent-browser close

# Interaction
agent-browser click <sel>
agent-browser fill <sel> <text>
agent-browser press <key>
agent-browser hover <sel>
agent-browser select <sel> <val>
agent-browser download <sel> <path>  # v0.7+

# Info
agent-browser get text <sel>
agent-browser get url
agent-browser get title
agent-browser is visible <sel>

# Snapshots & Screenshots
agent-browser snapshot -i --json
agent-browser screenshot [path]

Links