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name description
agent-browser-core OpenClaw的agent-browser CLI技能基于RustNode.js回退通过快照、引用和结构化命令实现AI友好的网页自动化。

Agent Browser Skill (Core)

Purpose

Provide an advanced, production-ready playbook for using agent-browser to automate web tasks via CLI and structured commands.

Best fit

  • You need deterministic automation for AI agents.
  • You want compact snapshots with refs and JSON output.
  • You prefer a fast CLI with Node.js fallback.

Not a fit

  • You require a full SDK or custom JS integration.
  • You must stream large uploads or complex media workflows.

Quick orientation

  • Read references/agent-browser-overview.md for install, architecture, and core concepts.
  • Read references/agent-browser-command-map.md for command categories and flags.
  • Read references/agent-browser-safety.md for high-risk controls and safe mode rules.
  • Read references/agent-browser-workflows.md for recommended AI workflows.
  • Read references/agent-browser-troubleshooting.md for common issues and fixes.

Required inputs

  • Installed agent-browser CLI and browser runtime.
  • Target URLs and workflow steps.
  • Session or profile strategy if authentication is required.

Expected output

  • A clear command sequence and operational guardrails for automation.

Operational notes

  • Snapshot early, act via refs, then snapshot again after DOM changes.
  • Use --json for machine parsing and scripting.
  • Use waits and load-state checks before actions.
  • Close tabs or sessions when done to release resources.

Safe mode defaults

  • Do not use eval, --allow-file-access, custom --executable-path, or arbitrary --args without explicit approval.
  • Avoid network route, set credentials, and cookie/storage mutations unless the task requires it.
  • Allowlist domains and block localhost or private network targets.

Security notes

  • Treat tokens and credentials as secrets.
  • Avoid --allow-file-access unless explicitly required.