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mifashion

自我智能改进体

by Wash Uugal · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install agent-dyxc
Description
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
README (SKILL.md)

Agent Browser Skill

Fast browser automation using accessibility tree snapshots with refs for deterministic element selection.

Why Use This Over Built-in Browser Tool

Use agent-browser when:

  • Automating multi-step workflows
  • Need deterministic element selection
  • Performance is critical
  • Working with complex SPAs
  • Need session isolation

Use built-in browser tool when:

  • Need screenshots/PDFs for analysis
  • Visual inspection required
  • Browser extension integration needed

Core Workflow

# 1. Navigate and snapshot
agent-browser open https://example.com
agent-browser snapshot -i --json

# 2. Parse refs from JSON, then interact
agent-browser click @e2
agent-browser fill @e3 "text"

# 3. Re-snapshot after page changes
agent-browser snapshot -i --json

Key Commands

Navigation

agent-browser open \x3Curl>
agent-browser back | forward | reload | close

Snapshot (Always use -i --json)

agent-browser snapshot -i --json          # Interactive elements, JSON output
agent-browser snapshot -i -c -d 5 --json  # + compact, depth limit
agent-browser snapshot -s "#main" -i      # Scope to selector

Interactions (Ref-based)

agent-browser click @e2
agent-browser fill @e3 "text"
agent-browser type @e3 "text"
agent-browser hover @e4
agent-browser check @e5 | uncheck @e5
agent-browser select @e6 "value"
agent-browser press "Enter"
agent-browser scroll down 500
agent-browser drag @e7 @e8

Get Information

agent-browser get text @e1 --json
agent-browser get html @e2 --json
agent-browser get value @e3 --json
agent-browser get attr @e4 "href" --json
agent-browser get title --json
agent-browser get url --json
agent-browser get count ".item" --json

Check State

agent-browser is visible @e2 --json
agent-browser is enabled @e3 --json
agent-browser is checked @e4 --json

Wait

agent-browser wait @e2                    # Wait for element
agent-browser wait 1000                   # Wait ms
agent-browser wait --text "Welcome"       # Wait for text
agent-browser wait --url "**/dashboard"   # Wait for URL
agent-browser wait --load networkidle     # Wait for network
agent-browser wait --fn "window.ready === true"

Sessions (Isolated Browsers)

agent-browser --session admin open site.com
agent-browser --session user open site.com
agent-browser session list
# Or via env: AGENT_BROWSER_SESSION=admin agent-browser ...

State Persistence

agent-browser state save auth.json        # Save cookies/storage
agent-browser state load auth.json        # Load (skip login)

Screenshots & PDFs

agent-browser screenshot page.png
agent-browser screenshot --full page.png
agent-browser pdf page.pdf

Network Control

agent-browser network route "**/ads/*" --abort           # Block
agent-browser network route "**/api/*" --body '{"x":1}'  # Mock
agent-browser network requests --filter api              # View

Cookies & Storage

agent-browser cookies                     # Get all
agent-browser cookies set name value
agent-browser storage local key           # Get localStorage
agent-browser storage local set key val

Tabs & Frames

agent-browser tab new https://example.com
agent-browser tab 2                       # Switch to tab
agent-browser frame @e5                   # Switch to iframe
agent-browser frame main                  # Back to main

Snapshot Output Format

{
  "success": true,
  "data": {
    "snapshot": "...",
    "refs": {
      "e1": {"role": "heading", "name": "Example Domain"},
      "e2": {"role": "button", "name": "Submit"},
      "e3": {"role": "textbox", "name": "Email"}
    }
  }
}

Best Practices

  1. Always use -i flag - Focus on interactive elements
  2. Always use --json - Easier to parse
  3. Wait for stability - agent-browser wait --load networkidle
  4. Save auth state - Skip login flows with state save/load
  5. Use sessions - Isolate different browser contexts
  6. Use --headed for debugging - See what's happening

Example: Search and Extract

agent-browser open https://www.google.com
agent-browser snapshot -i --json
# AI identifies search box @e1
agent-browser fill @e1 "AI agents"
agent-browser press Enter
agent-browser wait --load networkidle
agent-browser snapshot -i --json
# AI identifies result refs
agent-browser get text @e3 --json
agent-browser get attr @e4 "href" --json

Example: Multi-Session Testing

# Admin session
agent-browser --session admin open app.com
agent-browser --session admin state load admin-auth.json
agent-browser --session admin snapshot -i --json

# User session (simultaneous)
agent-browser --session user open app.com
agent-browser --session user state load user-auth.json
agent-browser --session user snapshot -i --json

Installation

npm install -g agent-browser
agent-browser install                     # Download Chromium
agent-browser install --with-deps         # Linux: + system deps

Credits

Skill created by Yossi Elkrief (@MaTriXy)

agent-browser CLI by Vercel Labs

Usage Guidance
Before installing, confirm that the agent-browser package is the intended official package and pin a trusted version. If you use it, supervise actions on logged-in sites and protect any saved auth-state files.
Capability Assessment
Purpose & Capability
The SKILL.md content is coherent with the stated browser automation purpose, but the capability is powerful: it can navigate sites, click, fill forms, inspect pages, and control network behavior.
Instruction Scope
The instructions are broad command documentation for browser automation. They are mostly purpose-aligned, but users should supervise actions on authenticated, financial, administrative, or public-posting websites.
Install Mechanism
The skill is instruction-only with no install spec or declared registry requirements, yet SKILL.md requires the external agent-browser command and tells users to install an unpinned global npm package and Chromium. The listed homepage/source metadata does not clearly establish package provenance.
Credentials
Browser, cookie, storage, screenshot, PDF, and network-routing capabilities are expected for this purpose, but they can expose or mutate sensitive web-session data.
Persistence & Privilege
No hidden background process is shown, but the skill documents saving and loading browser authentication state, which can persist access to user accounts if the files are not protected.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install agent-dyxc
  3. After installation, invoke the skill by name or use /agent-dyxc
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of agent-browser skill. - Provides a fast headless browser CLI for multi-step automation, optimized for AI agents. - Features ref-based element selection using accessibility tree snapshots for deterministic interactions. - Supports isolated browser sessions, state save/load, and advanced waiting options. - Includes commands for navigation, interaction, data extraction, screenshots/PDFs, network control, and storage management. - Documentation includes usage patterns, best practices, and example workflows.
Metadata
Slug agent-dyxc
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 自我智能改进体?

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection. It is an AI Agent Skill for Claude Code / OpenClaw, with 49 downloads so far.

How do I install 自我智能改进体?

Run "/install agent-dyxc" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 自我智能改进体 free?

Yes, 自我智能改进体 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 自我智能改进体 support?

自我智能改进体 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 自我智能改进体?

It is built and maintained by Wash Uugal (@mifashion); the current version is v1.0.0.

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