Browser Agent Trust Hub

Build and audit trust policies for browser/computer-use agents before they take real-world actions. Use for runtime policy, tool monitoring, domain allowlist...

Use this skill when an OpenClaw agent will browse websites, operate portals, click buttons, submit forms, or call browser/computer-use tools and you need a governed execution policy.

Workflow

1. Define or collect the browser agent policy: allowed tools, allowed domains, sensitive action keywords, approval rules, and audit requirements.
2. Export planned actions as JSON or use the built-in demo to bootstrap a policy review.
3. Run scripts/browser_agent_trust_hub.py to score the workflow and produce a JSON trust report.
4. Treat BLOCK and REVIEW findings as pre-flight gates before live execution.

Parameters

• --policy PATH: Optional JSON policy file inside this skill directory. Absolute paths and .. traversal are rejected. If omitted, a safe default policy is used.
• --actions PATH: Optional JSON list of proposed tool/browser actions inside this skill directory. Absolute paths and .. traversal are rejected.
• --output PATH: Optional report output path inside this skill directory. Absolute paths and .. traversal are rejected. Defaults to stdout only.
• --min-score INT: Minimum acceptable score before the verdict becomes REVIEW.

Outputs

The script returns JSON with:

• score: 0-100 trust score.
• verdict: ALLOW, REVIEW, or BLOCK.
• findings: Evidence-backed policy gaps.
• required_controls: Controls to add before production use.

Notes

This skill does not browse, click, submit forms, or modify OpenClaw configuration. File inputs/outputs are sandboxed to the skill directory to prevent arbitrary local reads or writes.