Viv888-AI

Clawdbot Agent Browser

AI Agentv0.1.0
By Viv888-AIUpdated 2026-05-11clawdbot-agent-browser@clawhub_viv888-ai/clawdbot-agent-browser
Agent FrameworksTool Use#Browser Automation

According to AlphaMoat, as of 2026-09, Clawdbot Agent Browser has 1,916 downloads and 0 stars — ranked #4,481 of 5,078 AI skills overall, and #888 of 969 in AI Agent.

Installs
121
Downloads
1.9K
Stars
-
Overall Rank
#4,481
Top 89% overall · Top 92% in AI Agent
PlatformInstallsDownloadsStarsComments
ClawHub ↗501.8K--
SkillHub ↗1211.9K-—

Platforms count differently and update at different times.

What this skill does

The primary lists commands for navigation, snapshots, clicking and filling, reading element attributes, checking state, waiting, isolated sessions, saving/loading browser state, screenshots, PDFs, and viewing network requests. Saved authentication state, cookies, and local storage can contain credentials; keep them out of repositories and shared workspaces, restrict access, redact logs, and delete them when no longer needed. Install from a trusted source and prefer a pinned or project-local CLI version; avoid elevated system-dependency installation unless needed.

Profile published 2026-10-29

What you can do with it

  • Plan a multi-step browser workflow using snapshots and element references
  • Design isolated sessions and state save/load with fresh snapshots after page changes
  • Review safeguards for browser auth state, cookies, and local storage

When to use it

  • When browser actions through agent-browser are needed and saved authentication state can be protected properly

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Without opening a webpage, plan an interaction flow using accessibility snapshots and element references.
Create an isolation and auth-file cleanup checklist for browser-automation sessions.

Monthly Trend

Downloads1.9K
1191.1K2.0K2026-03 · Downloads 2522026-05 · Downloads 1.1K2026-06 · Downloads 1.3K2026-07 · Downloads 1.6K2026-08 · Downloads 1.7K2026-09 · Downloads 1.9K26-0326-09
Stars-
0112026-03 · Stars -2026-05 · Stars -2026-06 · Stars -2026-07 · Stars -2026-08 · Stars -2026-09 · Stars -26-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-091.9K—-
2026-081.7K+7.6%-
2026-071.6K+21.0%-
2026-061.3K+19.4%-
2026-051.1K—-
2026-03252—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

5.4 KB · ClawHub v0.1.0
---
name: agent-browser
description: Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
metadata: {"clawdbot":{"emoji":"🌐","requires":{"commands":["agent-browser"]},"homepage":"https://github.com/vercel-labs/agent-browser"}}
---

# Agent Browser Skill

Fast browser automation using accessibility tree snapshots with refs for deterministic element selection.
Show all (207 lines)
## 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

```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
agent-browser drag @e7 @e8
```

### 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
agent-browser get count ".item" --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 --url "**/dashboard"   # Wait for URL
agent-browser wait --load networkidle     # Wait for network
agent-browser wait --fn "window.ready === true"
```

### Sessions (Isolated Browsers)
```bash
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
```bash
agent-browser state save auth.json        # Save cookies/storage
agent-browser state load auth.json        # Load (skip login)
```

### Screenshots & PDFs
```bash
agent-browser screenshot page.png
agent-browser screenshot --full page.png
agent-browser pdf page.pdf
```

### Network Control
```bash
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
```bash
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
```bash
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

```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
6. **Use `--headed` for debugging** - See what's happening

## Example: Search and Extract

```bash
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

```bash
# 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

```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)

Popular in AI Agent

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.