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Agent Browser 39
ASecurityHeadless browser automation CLI optimized for AI agents. Use when automating multi-step browser workflows, web scraping, form filling, or testing SPAs. Uses accessibility tree snapshots with ref-based element selection for deterministic actions. Requires `agent-browser` CLI (npm install -g agent-browser).
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- Added September 27, 2026
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[](https://www.skillsdirectory.com/skills/david-li0406-agent-browser-39)---
name: agent-browser
description: Headless browser automation CLI optimized for AI agents. Use when automating multi-step browser workflows, web scraping, form filling, or testing SPAs. Uses accessibility tree snapshots with ref-based element selection for deterministic actions. Requires `agent-browser` CLI (npm install -g agent-browser).
---
# Agent Browser Skill
Fast browser automation using accessibility tree snapshots with refs for deterministic element selection.
## Core Workflow
```bash
# 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
```bash
agent-browser open <url>
agent-browser back | forward | reload | close
```
### Snapshot (Always use -i --json)
```bash
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)
```bash
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
```
### Get Information
```bash
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
```
### Check State
```bash
agent-browser is visible @e2 --json
agent-browser is enabled @e3 --json
agent-browser is checked @e4 --json
```
### Wait
```bash
agent-browser wait @e2 # Wait for element
agent-browser wait 1000 # Wait ms
agent-browser wait --text "Welcome" # Wait for text
agent-browser wait --load networkidle # Wait for network
```
### Sessions (Isolated Browsers)
```bash
agent-browser --session admin open site.com
agent-browser --session user open site.com
agent-browser session list
```
### State Persistence
```bash
agent-browser state save auth.json # Save cookies/storage
agent-browser state load auth.json # Load (skip login)
```
### Screenshots
```bash
agent-browser screenshot page.png
agent-browser screenshot --full page.png # Full page
```
## Snapshot Output Format
```json
{
"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
## Example: Form Automation
```bash
agent-browser open https://example.com/form
agent-browser snapshot -i --json
# AI identifies: @e2=name, @e3=email, @e4=submit
agent-browser fill @e2 "John Doe"
agent-browser fill @e3 "john@example.com"
agent-browser click @e4
agent-browser wait --text "Success"
```
## Installation
```bash
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](https://github.com/MaTriXy))
agent-browser CLI by [Vercel Labs](https://github.com/vercel-labs/agent-browser)
Files in this skill
- SKILL.md
- agent-browser.zip
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