Xpersona
agentCLAWHUBUnverified

Handy01 Agent Browser

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection Skill: Handy01 Agent Browser Owner: handy01 Summary: Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection Tags: latest:0.1.2 Version history: v0.1.2 | 2026-04-20T14:55:59.686Z | auto - Internal metadata file updated (_meta.json). - No user-facing changes to documentation or feature set. v0.1.1 | 2026-04-20T14:40:03.609Z | user Update Archive index:

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.1k

Updated

Oct 11, 2026

Version

0.1.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

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.

Vendor
Clawhubvendor · observed Oct 11, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 11, 2026
Adoption signal
1.1K downloadsadoption · observed Oct 11, 2026
Latest release
0.1.2release · observed Apr 20, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s170bq710v7627a16z5na92f7584w30r:handy01-agent-browser
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. 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-handy01-handy01-agent-browser/snapshot"

Documentation

CLAWHUB

14,112 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": "kn71dbt7na9md520m9m2nhqnyd84xkn8",
  "slug": "handy01-agent-browser",
  "version": "0.1.2",
  "publishedAt": 1776696959686
}

skill-card.md

## Description:

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection.

This skill is ready for commercial/non-commercial use.

## Publisher:

[handy01](https://clawhub.ai/user/handy01)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and agents use this skill to automate browser workflows with deterministic accessibility-tree snapshots, ref-based actions, isolated sessions, and JSON output.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill can help an agent automate authenticated browser sessions.

Mitigation: Use isolated environments and avoid high-sensitivity accounts unless isolation and access controls are in place.

Risk: Saved auth state can preserve reusable cookies and storage.

Mitigation: Keep auth JSON files private, short-lived, access-controlled, and deleted after use.

Risk: Installation may download npm packages, Chromium, or system dependencies.

Mitigation: Pin the npm package version and review downloads before using install commands, especially --with-deps.

## Reference(s):

- [Agent Browser repository](https://github.com/vercel-labs/agent-browser)
- [ClawHub skill page](https://clawhub.ai/handy01/skills/handy01-agent-browser)

## Skill Output:

**Output Type(s):** [Shell commands, JSON, Guidance, Files]

**Output Format:** [Markdown with inline bash commands and JSON examples]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Produces command guidance for browser navigation, interaction, state persistence, screenshots, PDFs, network control, cookies, storage, tabs, and frames.]

## Skill Version(s):

0.1.2 (source: evidence.release.version)

## Ethical Considerations:

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.

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Machine-readable data

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

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}

Record generated Oct 11, 2026.

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