What makes Agent Browser notable?

114.5K downloads. Trust evidence available

How should Agent Browser be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

agentCLAWHUBUnverified

Agent Browser

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection Skill: Agent Browser Owner: matrixy Summary: Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection Tags: latest:0.1.0 Version history: v0.1.0 | 2026-01-21T22:00:54.381Z | auto - Initial release of agent-browser-clawdbot skill. - Enables fast, headless browser automation via CLI, optimized for AI agent workflows. - Provides accessibility tree snapshot

OpenClaw

View on ClawHub

Rank

Safety

Downloads

115k

Updated

Jun 1, 2026

Version

0.1.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 114.5K downloads reported by the source. Last updated 6/1/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Adoption signal: 114.5K downloadsadoption · observed Jun 1, 2026
Vendor: Clawhubvendor · observed May 30, 2026
Protocol compatibility: OpenClawcompatibility · observed May 30, 2026
Adoption signal: 113.9K downloadsadoption · observed May 30, 2026
Latest release: 0.1.0release · observed Jan 21, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install publishers:matrixy:agent-browser-clawdbot

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-matrixy-agent-browser-clawdbot/snapshot"

Documentation

CLAWHUB

8,673 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
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.

## 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-br

_meta.json

{
  "ownerId": "kn7amrtkn0tjk2r2yxf3hjgp0s7zn6g4",
  "slug": "agent-browser-clawdbot",
  "version": "0.1.0",
  "publishedAt": 1769032854381
}

skill-card.md

## Description: <br>
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection. <br>

This skill is ready for commercial/non-commercial use. <br>

## Publisher: <br>
[MaTriXy](https://clawhub.ai/user/MaTriXy) <br>

### License/Terms of Use: <br>


## Use Case: <br>
Developers and AI agents use this skill to automate browser workflows, inspect accessibility snapshots, select elements deterministically by reference, and extract page data through the agent-browser CLI. <br>

### Deployment Geography for Use: <br>
Global <br>

## Known Risks and Mitigations: <br>
Risk: Saved browser state and cookies can represent sensitive account access. <br>
Mitigation: Keep saved authentication files out of source control and logs, and use isolated sessions or test accounts for automation. <br>
Risk: The skill depends on the external agent-browser package source. <br>
Mitigation: Install only when the package source is trusted and review commands before running them on logged-in websites. <br>


## Reference(s): <br>
- [Agent Browser upstream repository](https://github.com/vercel-labs/agent-browser) <br>
- [ClawHub skill page](https://clawhub.ai/MaTriXy/agent-browser-clawdbot) <br>
- [Publisher profile](https://clawhub.ai/user/MaTriXy) <br>


## Skill Output: <br>
**Output Type(s):** [Text, Markdown, Shell commands, Configuration, Guidance] <br>
**Output Format:** [Markdown with inline shell commands and JSON examples] <br>
**Output Parameters:** [1D] <br>
**Other Properties Related to Output:** [May guide browser state persistence, session isolation, navigation, interaction, data extraction, screenshots, PDFs, network control, cookies, and storage workflows.] <br>

## Skill Version(s): <br>
0.1.0 (source: server release metadata) <br>

## Ethical Considerations: <br>
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>

Github OpenclewUpdated 4mo agoRank 65

@x1pay/langchain

LangChain/LangGraph tools for AI agent x402 payments on X1

OPENCLAW

Github OpenclewUpdated 4mo agoRank 65

@langchain/langgraph-swarm

An implementation of a multi-agent swarm using LangGraph

OPENCLAW

Github OpenclewUpdated 4mo agoRank 65

@langchain/langgraph-supervisor

LangGraph Multi-Agent Supervisor

OPENCLAW

Github OpenclewUpdated 4mo agoRank 65

oceanbus-langchain

LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

OPENCLAWoceanbuslangchainlangchain-tools

Machine-readable data

The same record, as JSON, for agents and crawlers.

{
  "facts": [
    {
      "factKey": "traction",
      "category": "adoption",
      "label": "Adoption signal",
      "value": "114.5K downloads",
      "href": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceUrl": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-06-01T00:30:02.177Z",
      "isPublic": true
    },
    {
      "factKey": "vendor",
      "label": "Vendor",
      "value": "Clawhub",
      "category": "vendor",
      "href": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceUrl": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-05-30T06:45:18.624Z",
      "isPublic": true,
      "metadata": {}
    },
    {
      "factKey": "protocols",
      "label": "Protocol compatibility",
      "value": "OpenClaw",
      "category": "compatibility",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-matrixy-agent-browser-clawdbot/contract",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-matrixy-agent-browser-clawdbot/contract",
      "sourceType": "contract",
      "confidence": "medium",
      "observedAt": "2026-05-30T06:45:18.624Z",
      "isPublic": true,
      "metadata": {}
    },
    {
      "factKey": "traction",
      "label": "Adoption signal",
      "value": "113.9K downloads",
      "category": "adoption",
      "href": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceUrl": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-05-30T06:45:18.624Z",
      "isPublic": true,
      "metadata": {}
    },
    {
      "factKey": "latest_release",
      "label": "Latest release",
      "value": "0.1.0",
      "category": "release",
      "href": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceUrl": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-01-21T22:00:54.381Z",
      "isPublic": true,
      "metadata": {}
    },
    {
      "factKey": "handshake_status",
      "label": "Handshake status",
      "value": "UNKNOWN",
      "category": "security",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-matrixy-agent-browser-clawdbot/trust",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-matrixy-agent-browser-clawdbot/trust",
      "sourceType": "trust",
      "confidence": "medium",
      "observedAt": null,
      "isPublic": true,
      "metadata": {}
    }
  ],
  "events": [
    {
      "eventType": "release",
      "title": "Release 0.1.0",
      "description": "- Initial release of agent-browser-clawdbot skill. - Enables fast, headless browser automation via CLI, optimized for AI agent workflows. - Provides accessibility tree snapshots with ref-based deterministic element selection. - Supports session isolation, state persistence, and robust automation commands (navigation, interaction, data extraction, network control, and more). - Includes example workflows and best practices for efficient automation.",
      "href": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceUrl": "https://clawhub.ai/matrixy/agent-browser-clawdbot",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-01-21T22:00:54.381Z",
      "isPublic": true,
      "metadata": {}
    }
  ]
}

Record generated Oct 9, 2026.

About

Avoid when

Public facts

Install and run

Documentation

Extracted files

SKILL.md

_meta.json

skill-card.md

Related agents

@x1pay/langchain

@langchain/langgraph-swarm

@langchain/langgraph-supervisor

oceanbus-langchain

Machine-readable data