jev-browser — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

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 jkudish · AI Tool · ★ 168

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

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

About jev-browser

Jev Browser Fast and very cheap browser use using TypeSafe's Jev model. Give jev-browser a task and a URL. It drives a real headless browser through an MCP server, CLI, or library. TypeSafe's Jev model picks one action per step from the page's clickable, typeable, and selectable elements, and scores how likely it is that the goal is met or the run is stuck. Code owns the loop: budgets, recovery, stop gates. You get the final page, a step trace with confidences, console errors, and a screenshot. Things it has done on real sites, not demos: Navigated Wikipedia from the Coffee article to Espresso in about 4 seconds, for $0.0016. Filled a contact form and stopped without submitting it. Pulled the price off a live pricing page. Returned a full guide page as markdown. Produced an accessibility-tree breakdown of a WordPress site. This is early software. Expect rough edges on harder sites. Issues and pull requests are welcome; see CONTRIBUTING.md. Install Requires Node.js 20 or newer, a TypeSafe API key from console.typesafe.ai/settings/keys, and optionally a key for a typing provider (see the typing model). Playwright's Chromium downloads automatically o

Quick Facts

Stars168
Forks11
LanguageTypeScript
CategoryAI Tool
LicenseMIT
Quality Score61.5843325989063/100
Open Issues6
Last Updated2026-09-19
Created2026-09-17
Platformsbrowser, node
Est. Tokens~17k

Compatible Skills

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

  • CloakBrowser — semantic(0.18)+complementary+shared_fw(playwright)+same_lang+similar_pop+shared_platform (64%)
  • pi-jev — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (63%)

jev-browser alternative? Top 6 similar tools

Looking for a jev-browser alternative? If you're comparing jev-browser with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • pivotnacci by blackarrowsec · ⭐ 725

    A tool to make socks connections through HTTP agents

  • MedgeClaw by xjtulyc · ⭐ 668

    Open-source AI research assistant for biomedicine — chat to run RNA-seq, drug discovery, clinical analysis, an

  • SciToolAgent by HICAI-ZJU · ⭐ 416

    SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration

  • redesigned-pancake by Sfedfcv · ⭐ 256

    Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights

  • claude-code-voice-skill by abracadabra50 · ⭐ 169

    Skill to talk to Claude about your projects over the phone

  • maui-skills by davidortinau · ⭐ 163

    .NET MAUI skills for GitHub Copilot and Claude Code

More AI Tool Tools

Explore other popular ai tool tools:

View all AI Tool tools →

Popular TypeScript Agent Tools

Frequently Asked Questions

What is jev-browser?

jev-browser is Browser use using Typesafe's Jev model. It is categorized as a AI Tool with 168 GitHub stars.

What programming language is jev-browser written in?

jev-browser is primarily written in TypeScript.

How do I install or use jev-browser?

You can find installation instructions and usage details in the jev-browser GitHub repository at github.com/jkudish/jev-browser. The project has 168 stars and 11 forks, indicating an active community.

What license does jev-browser use?

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

What are the best alternatives to jev-browser?

The top alternatives to jev-browser on Agent Skills Hub include pivotnacci, MedgeClaw, SciToolAgent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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:

View on GitHub → Browse AI Tool tools