Agent Browser

OrganizationPopular

actionbook

agent-browser

Automates browser interactions for form filling and web page interaction. Used by the request-website command to submit website indexing requests.

Overview

Publisher	actionbook
Repository	`actionbook`
Skill name	`agent-browser`
Stars	1.6K
Forks	120
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by actionbook on GitHub. Read the source before you install it.

Installation

Install the Agent Browser AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/actionbook/actionbook/tree/main/playground/actionbook-scraper/skills/agent-browser
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/actionbook/actionbook/tree/main/playground/actionbook-scraper/skills/agent-browser

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/actionbook/actionbook.git /tmp/actionbook
mkdir -p .claude/skills
cp -r /tmp/actionbook/playground/actionbook-scraper/skills/agent-browser .claude/skills/agent-browser

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Browser in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Browser on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Browser is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Browser Automation with agent-browser

Quick start

bash
agent-browser open <url>        # 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 <url>
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
Always close: agent-browser close

Commands

Navigation

bash
agent-browser open <url>      # Navigate to URL
agent-browser close           # Close browser (ALWAYS do this)

Snapshot (page analysis)

bash
agent-browser snapshot        # Full accessibility tree
agent-browser snapshot -i     # Interactive elements only (recommended)

Interactions (use @refs from snapshot)

bash
agent-browser click @e1           # Click
agent-browser fill @e2 "text"     # Clear and type
agent-browser type @e2 "text"     # Type without clearing
agent-browser press Enter         # Press key
agent-browser scroll down 500     # Scroll page

Get information

bash
agent-browser get text @e1        # Get element text
agent-browser get title           # Get page title
agent-browser get url             # Get current URL

Wait

bash
agent-browser wait @e1                     # Wait for element
agent-browser wait 2000                    # Wait milliseconds
agent-browser wait --load networkidle      # Wait for network idle

Example: Form submission (request-website)

bash
# Open Actionbook request page
agent-browser open "https://actionbook.app/request-website"

# Get form elements
agent-browser snapshot -i
# Output shows: textbox "Site URL" [ref=e1], textbox "Email" [ref=e2], textbox "Use Case" [ref=e3], button "Submit" [ref=e4]

# Fill form
agent-browser fill @e1 "https://example.com/products"
agent-browser fill @e2 "user@example.com"
agent-browser fill @e3 "Scraping product catalog"

# Submit
agent-browser click @e4
agent-browser wait --load networkidle

# Verify submission
agent-browser snapshot -i

# Close browser
agent-browser close

Permission Required

Add to .claude/settings.local.json:

json
{
  "permissions": {
    "allow": [
      "Bash(agent-browser *)"
    ]
  }
}

Or run ./setup.sh to configure automatically.

Frequently asked questions

What does the Agent Browser AI skill do?

Automates browser interactions for form filling and web page interaction. Used by the request-website command to submit website indexing requests.

Why use Agent Browser on TypingMind?

Because you install it once and use it with any model. Agent Browser is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Browser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/actionbook/actionbook/tree/main/playground/actionbook-scraper/skills/agent-browser. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Browser?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Browser?

As many as you like. As long as a model supports skills, you can use Agent Browser with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Browser AI skill free?

Yes. It is published on GitHub by actionbook under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Browser Automation with agent-browser

Quick start

Core workflow

Commands

Navigation

Snapshot (page analysis)

Interactions (use @refs from snapshot)

Get information

Wait

Example: Form submission (request-website)

Permission Required

Frequently asked questions

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