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

Trust Report v1

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a websit

Overall
57
Trust
17
Utility
88
Momentum
95

Install caution

High-risk behavior present

Risk: High

Source: OpenClaw Master Skills

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

Review flags: browser/session access, credential or secret references, filesystem/home-directory access, network access or external URLs. These are review signals, not definitive security judgments; inspect before installing.

Required permissions

  • • Environment variables / secrets
  • • Shell commands
  • • Network/API usage
  • • Filesystem/home access
  • • 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.

credential_or_secret_referencehigh

Mentions tokens, API keys, passwords, or private-key style environment variables.

filesystem_write_or_home_accessmedium

Mentions filesystem writes, deletes, home-directory paths, or config/key locations.

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: -75 from 6 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: 2.
  • • Environment variables detected: 2.

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

  • • AGENT_BROWSER_ENCRYPTION_KEY
  • • PASSWORD

Commands

  • • npm i -g agent-browser
  • • npm install -g appium && appium driver install xcuitest

URLs

  • • http://localhost:8080
  • • https://app.example.com
  • • https://app.example.com/dashboard
  • • https://app.example.com/login
  • • https://example.com
  • • https://example.com/checkout
  • • https://example.com/form
  • • https://example.com/products
  • • https://example.com/signup
  • • https://github.com/login
  • • https://lightpanda.io/docs/open-source/installation.
  • • https://malicious.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