Ai Pa Browser Clawdbot

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

Security Scan

The skill's requested resources and runtime instructions are coherent with a headless browser automation CLI and do not ask for unrelated credentials or privileged installation steps.

Purpose & Capability

Name/description match the provided SKILL.md and reference docs: all commands (snapshots, refs, navigation, state save/load, network control, screenshots, recording) are expected features of a browser automation CLI.

Instruction Scope

SKILL.md only instructs the agent to use the external 'agent-browser' CLI and documents its commands; it does not direct the agent to read unrelated system files or env vars, nor to send captured data to unexpected endpoints.

Install Mechanism

This is an instruction-only skill with no install spec. The SKILL.md suggests installing via 'npm install -g agent-browser' (a normal distribution method); nothing in the bundle performs arbitrary downloads or writes to disk.

Credentials

The skill itself requests no environment variables or credentials (requires none). However, the documented CLI supports saving/loading state (auth.json), setting credentials/headers, uploading files, and network routing — all normal for a browser tool but potential vectors for leaking sensitive data if the agent is instructed to save or transmit secrets.

Persistence & Privilege

always is false and the skill has no install hooks or behavior that modifies other skills or global agent settings. It does not request permanent platform presence.

Assessment

This skill appears to be what it claims: a wrapper around an external 'agent-browser' CLI. Before installing or letting an agent use it, ensure you: (1) install agent-browser from a trusted source (verify the npm package and upstream repo), (2) avoid loading state files (auth.json) from untrusted origins, (3) be cautious about commands that set headers/credentials, upload files, or route/modify network requests (these can be used to exfiltrate data if misused), and (4) restrict the agent's permissions or review commands if the agent will run autonomously.

Agent Browser Skill

Fast browser automation via accessibility tree snapshots and ref-based element selection.

When to Use

Use agent-browser (this skill) when:

• Automating multi-step web workflows
• Need deterministic element selection
• Working with complex SPAs or login flows
• Need parallel sessions or video recording

Use built-in browser tool when:

• Need screenshots/PDFs for visual analysis
• Browser extension integration needed

Core Workflow

agent-browser open <url>
agent-browser snapshot -i --json   # Get interactive elements with refs
agent-browser click @e2
agent-browser fill @e3 "text"
agent-browser wait --load networkidle
agent-browser snapshot -i --json   # Re-snapshot after navigation

Most Common Commands

# Navigate
agent-browser open <url> | back | forward | reload | close

# Snapshot
agent-browser snapshot -i --json          # Always use these flags
agent-browser snapshot -s "#main" -i      # Scope to selector

# Interact (use @refs from snapshot)
agent-browser click @e1
agent-browser fill @e2 "text"
agent-browser press Enter
agent-browser select @e3 "value"
agent-browser scroll down 500

# Wait
agent-browser wait --load networkidle
agent-browser wait --text "Success"
agent-browser wait @e1

# State
agent-browser state save auth.json
agent-browser state load auth.json

Installation

npm install -g agent-browser
agent-browser install           # Download Chromium
agent-browser install --with-deps  # Linux: + system deps

Full Reference

For complete command list: read skills/ai-pa-browser-clawdbot/references/commands.md For examples: read skills/ai-pa-browser-clawdbot/references/examples.md