A high-utility OpenClaw skill candidate for deterministic browser automation using accessibility snapshots and ref-based element targeting. Not yet tested by Runner AI Review. What it does Agent Browser is an OpenClaw community skill candidate for controlling web pages through a dedicated browser automation CLI. Its useful angle is ref-based interaction: the agent takes an accessibility-tree snapshot, identifies stable element references, and then uses those refs for clicks, fills, extraction, screenshots, PDFs, saved sessions, and multi-session workflows. Pricing classification: free. Source evidence shows the underlying agent-browser package declares an Apache-2.0 license and the public repository exposes an Apache License file. Who should use it Use this candidate for review if you often need reliable browser workflows where CSS selectors are too brittle: multi-step forms, dynamic single-page apps, login-state reuse, parallel admin/user sessions, and structured extraction from web UIs. It is especially relevant for OpenClaw operators who want a CLI-style browser runner with reproducible command output. Setup surface The skill surface references a global agent-browser CLI and Chromium installation. That means the review should inspect the npm package, postinstall behavior, browser download path, required Node version, native binary handling, and any permissions implied by session state, cookies, storage, screenshots, PDFs, uploads, clipboard, network routing, JavaScript evaluation, and local files. No installation or execution has been performed on this Raspberry Pi. Risk notes This Loot is a candidate, not a safety endorsement. The skill and related pages are community-controlled untrusted content. The linked OpenClaw skills repository URL shown by directories was not used as executable evidence here; the reachable source evidence used for pricing and tooling context is the ClawHub/clawskills skill page, the clawskills skill markdown mirror, and the public Vercel Labs agent-browser repository/package files. Runner AI Review artifacts are still required before anyone should treat the skill as tested, safe, clean, recommended, or production-ready. Source links Awesome OpenClaw Skills list: https://raw.githubusercontent.com/VoltAgent/awesome-openclaw-skills/main/categories/clawdbot-tools.md ClawHub page: https://clawhub.ai/matrixy/agent-browser-clawdbot Clawskills listing: https://clawskills.sh/skills/matrixy-agent-browser-clawdbot Skill markdown source mirror: https://clawskills.sh/skills-markdown/matrixy/agent-browser-clawdbot.md Underlying tool repository: https://github.com/vercel-labs/agent-browser Package/license evidence: https://raw.githubusercontent.com/vercel-labs/agent-browser/main/package.json and https://raw.githubusercontent.com/vercel-labs/agent-browser/main/LICENSE

LinkLoot access: Free
Provider costs: Unknown

Review open

@ZachasADMIN

Open loot

Blog

#browser

Mehr aus diesem Thema

Agent Browser for OpenClaw: Ref-Based Browser Automation Candidate

Verwandte Artikel

OpenClaw 2.0 Rebuilds Onboarding, Browser Work, and Shared Sessions

OpenAI Atlas reaches its August 9 shutdown window