jev-agent-browser — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by forvela · AI Tool · ★ 13

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is jev-agent-browser safe to install? View the security audit →

About jev-agent-browser

Fast, bounded browser agents powered by Jev and agent-browser — typed actions, research, classification, and safe orchestration.

Quick Facts

Stars13
Forks1
LanguageJavaScript
CategoryAI Tool
LicenseMIT
Quality Score63.7098037452958/100
Last Updated2026-10-03
Created2026-09-19
Platformsbrowser, node
Est. Tokens~14k

Compatible Skills

These tools work well together with jev-agent-browser for enhanced workflows:

  • jev-social — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)

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Frequently Asked Questions

What is jev-agent-browser?

jev-agent-browser is Fast, bounded browser agents powered by Jev and agent-browser — typed actions, research, classification, and safe orchestration.. It is categorized as a AI Tool with 13 GitHub stars.

What programming language is jev-agent-browser written in?

jev-agent-browser is primarily written in JavaScript.

How do I install or use jev-agent-browser?

You can find installation instructions and usage details in the jev-agent-browser GitHub repository at github.com/forvela/jev-agent-browser. The project has 13 stars and 1 forks, indicating an active community.

What license does jev-agent-browser use?

jev-agent-browser is released under the MIT license, making it free to use and modify according to the license terms.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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