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Skill scan report

browser-intent

View on GitHub
0 Clean No risk patterns detected.

What this skill does

Execute natural-language browser intents via page-agent, delegating execution to an in-page injected JS agent that turns the DOM into text and drives an LLM tool-call loop.

github/ruvnet - general - 67.6k stars

ThreatsNo threats detected

Threat analysis

No risk categories triggeredclean

Skill info

Nameruvnet/browser-intent
Registrygithub
Versionf35c545
PURLpkg:github/ruvnet/ruflo@f35c545?skill=browser-intent
Stars67.6k

Assessments

No risk patterns detected in this scan. A clean automated scan is a good signal, not a guarantee.

Badge

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Anomity Skill Check badge

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[![Anomity Skill Check](https://anomity.ai/skills/badge.svg)](https://anomity.ai/skills/github/ruvnet/browser-intent/)
HTML
<a href="https://anomity.ai/skills/github/ruvnet/browser-intent/"><img src="https://anomity.ai/skills/badge.svg" alt="Anomity Skill Check"></a>
Image URL
https://anomity.ai/skills/badge.svg

How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of browser-intent? Report an issue or request a rescan.

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