awesome-jev-projects — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

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 logicrw · Agent Tool · ★ 177

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

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

About awesome-jev-projects

Awesome Jev 打开在线版 → 搜索和筛选 Jev 开源项目,查看具体决策点与来源证据。支持中文 / English 切换。 Explore the live website → Find open-source Jev projects, see what Jev decides, and inspect the source evidence. Switch between Chinese and English in the header. A source-backed, plain-language radar for tools built with TypeSafe AI's Jev. 项目名与技术标签保留原文;尚无英文摘要的项目显示原简介。 Website: https://logicrw.github.io/awesome-jev-projects/ Submit a project: https://github.com/logicrw/awesome-jev-projects/issues/new?template=project.yml Run the radar: Actions Run locally Requires Node.js 22 or newer. Vite + React + TypeScript + Tailwind CSS. Fonts are self-hosted. The site has fuzzy search, dynamic category and tag filtering, star ranges, sorting, device-local bookmarks, keyboard search (, , ), shareable project detail links, and pre-filled GitHub Issues. Bookmarks and language preferences stay in your browser. Optional English project fields (, , , ) are included in the public data; missing translations fall back

ai-agentsawesomeawesome-listdecision-modeldeveloper-toolsjevjev-modelsystem-onetypesafe-ai

Quick Facts

Stars177
Forks16
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score62.6744942799998/100
Open Issues1
Last Updated2026-09-20
Created2026-09-18
Platformsnode
Est. Tokens~16k

Compatible Skills

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

awesome-jev-projects alternative? Top 6 similar tools

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

  • awesome-jev by cobanov · ⭐ 242

    A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.

  • awesome-jev-typesafe by valentynkit · ⭐ 97

    Typed decisions with TypeSafe's Jev, the first System One model

  • awesome-jev by hellogumbo · ⭐ 86

    A community directory of projects built on Jev, TypeSafe AI's System One model.

  • awesome-jev by AppitStudio · ⭐ 58

    Curated Jev resources and runnable examples for typed AI decisions.

  • awesome-jev by AnotiaWang · ⭐ 96

    A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.

  • skillranker by Dicklesworthstone · ⭐ 83

    Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context.

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Frequently Asked Questions

What is awesome-jev-projects?

awesome-jev-projects is Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync. It is categorized as a Agent Tool with 177 GitHub stars.

What programming language is awesome-jev-projects written in?

awesome-jev-projects is primarily written in JavaScript. It covers topics such as ai-agents, awesome, awesome-list.

How do I install or use awesome-jev-projects?

You can find installation instructions and usage details in the awesome-jev-projects GitHub repository at github.com/logicrw/awesome-jev-projects. The project has 177 stars and 16 forks, indicating an active community.

What license does awesome-jev-projects use?

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

What are the best alternatives to awesome-jev-projects?

The top alternatives to awesome-jev-projects on Agent Skills Hub include awesome-jev, awesome-jev-typesafe, awesome-jev. 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:

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