awesome-jev — 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 AppitStudio · AI Tool · ★ 58

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

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About awesome-jev

Awesome Jev Discover Jev-powered apps, developer resources, and runnable decision examples. Jev is TypeSafe AI's System One model: give it state and typed questions, then use the returned choices, scores, and probabilities in your code. This independent community directory collects applications that use Jev, resources for developers, and small, inspectable workflows to learn from. Explore Jev-powered apps · Share your app Try the beta web UI at JevList. Explore the projects in this directory through a searchable web interface. We're continually improving the experience—take a look and let us know what you think! Contents Explore Jev with our skill Start here Explore practical use cases Official SDKs and tools Community projects Apps powered by Jev Browse the project directory Tools and integrations Computer and browser use Starter projects Reference project Patterns and cookbooks [Routing and classifi

aiawesomeawesome-listdecision-makingjevsystem-onetypesafe-ai

Quick Facts

Stars58
Forks6
LanguagePython
CategoryAI Tool
Quality Score63.0117236109288/100
Open Issues2
Last Updated2026-09-20
Created2026-09-18
Platformspython
Est. Tokens~19k

awesome-jev alternative? Top 6 similar tools

Looking for a awesome-jev alternative? If you're comparing awesome-jev 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.

  • awesome-jev-projects by logicrw · ⭐ 177

    Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub

  • awesome-jev by hellogumbo · ⭐ 86

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

  • 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 AnotiaWang · ⭐ 96

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

  • awesome-jev by OmniJev · ⭐ 65

    🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.

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Frequently Asked Questions

What is awesome-jev?

awesome-jev is Curated Jev resources and runnable examples for typed AI decisions.. It is categorized as a AI Tool with 58 GitHub stars.

What programming language is awesome-jev written in?

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

How do I install or use awesome-jev?

You can find installation instructions and usage details in the awesome-jev GitHub repository at github.com/AppitStudio/awesome-jev. The project has 58 stars and 6 forks, indicating an active community.

What are the best alternatives to awesome-jev?

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