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Safety Radar beta now; performance benchmarks, private registries, and runtime skill recommendations next.

Trust Report v1

agent-browser

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

Overall
70
Trust
52
Utility
80
Momentum
95

Install caution

High-risk behavior present

Risk: High

Source: OpenClaw Master Skills

Path: skills/agent-browser-clawdbot/SKILL.md

Review flags: browser/session access, network access or external URLs, package installation commands, shell command snippets. These are review signals, not definitive security judgments; inspect before installing.

Required permissions

  • • Shell commands
  • • Network/API usage
  • • Browser/session access

Permissions are inferred from SKILL.md text only. They are review prompts, not guarantees about runtime behavior.

Risk flags explained

browser_or_session_accessmedium

Mentions browser automation, cookies, sessions, local storage, or browser state.

network_accessmedium

Mentions external URLs, network APIs, downloads, or HTTP client usage.

package_installmedium

Mentions package installation or dependency-fetching commands.

shell_commandmedium

Contains shell command snippets. Review commands before copy/paste or agent execution.

Score explanation

Trust

  • • Trust starts at 90 before review-signal penalties and metadata bonuses.
  • • Risk-signal penalty: -40 from 4 detected flag(s).
  • • Metadata bonus: +2 from author/version/description fields.

Utility

  • • Utility starts at 55 and rewards clear descriptions, runnable examples, and explicit setup needs.
  • • Description present: yes.
  • • Command examples detected: 1.
  • • Environment variables detected: 0.

Momentum

  • • Momentum starts at 45 and uses public repo activity signals.
  • • Recent commit activity: latest repo update was 0 day(s) ago.
  • • Recent commit volume: 8 commit(s) in the lookback window (+20).
  • • Source has strong public adoption: 1972 stars.
  • • Fork activity suggests reuse: 306 forks.

Overall

  • • Overall score weights trust 45%, utility 35%, and momentum 20%.

Detected signals

Env vars

None detected in SKILL.md text scan.

Commands

  • • npm install -g agent-browser

URLs

  • • https://example.com
  • • https://github.com/MaTriXy
  • • https://github.com/vercel-labs/agent-browser
  • • https://github.com/vercel-labs/agent-browser\
  • • https://www.google.com

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Methodology note

SkillRadar scans SKILL.md as hostile text only. It does not execute commands, install packages, or load third-party skills.

View source SKILL.mdBack to changesView sources