awesome-jev — security grade SAFE, quality 58/100

Security audit verdict: SAFE · quality 58/100

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 hellogumbo · Agent Tool · ★ 86

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

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

About awesome-jev

Awesome Jev Directory of projects built on Jev, TypeSafe AI's System One model. Site: awesomejev.com (searchable, with GitHub stars refreshed daily). Jev takes a state plus a set of typed questions (Choice, Score, Noul) and returns typed answers with calibrated probabilities in one request, no text generation. Model id , endpoint , early access since 2026-09-15. Docs: docs.typesafe.ai. Not affiliated with TypeSafe AI. To add a project, open a pull request or file an issue. See CONTRIBUTING.md. 410 entries · last refreshed 2026-09-17 Contents Official SDKs & clients Integrations Agent tooling Browser & computer use Applications Games & simulations Demos & playgrounds Benchmarks & research Other lists Articles & threads Contributing Official Docs, SDKs, and resources from TypeSafe AI. TypeSafe AI - Company homepage, waitlist, and product overview. [Documentation](https://docs.typesafe.ai

awesomeawesome-listjevsystem-onetypesafetypesafe-ai

Quick Facts

Stars86
Forks28
LanguageJavaScript
CategoryAgent Tool
LicenseCC0-1.0
Quality Score57.500592832819/100
Open Issues41
Last Updated2026-09-20
Created2026-09-17
Platformsnode
Est. Tokens~25k

Compatible Skills

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

  • awesome-jev — semantic(0.74)+complementary+rare_topics+similar_pop (73%)
  • jevmeter — semantic(0.55)+complementary+rare_topics+similar_pop (63%)
  • skillranker — semantic(0.54)+complementary+rare_topics+similar_pop (63%)
  • jev-codex-router — semantic(0.49)+complementary+rare_topics+similar_pop (61%)

awesome-jev alternative? Top 6 similar tools

Looking for a awesome-jev alternative? If you're comparing awesome-jev 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-projects by logicrw · ⭐ 177

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

  • 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.

  • awesome-jev by AppitStudio · ⭐ 58

    Curated Jev resources and runnable examples for typed AI decisions.

  • awesome-jev by cobanov · ⭐ 242

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

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Frequently Asked Questions

What is awesome-jev?

awesome-jev is A community directory of projects built on Jev, TypeSafe AI's System One model.. It is categorized as a Agent Tool with 86 GitHub stars.

What programming language is awesome-jev written in?

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

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/hellogumbo/awesome-jev. The project has 86 stars and 28 forks, indicating an active community.

What license does awesome-jev use?

awesome-jev is released under the CC0-1.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to awesome-jev?

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