awesome-jev-gallery — security grade SAFE, quality 48/100

Security audit verdict: SAFE · quality 48/100

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 OmniJev · LLM Plugin · ★ 76

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

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

About awesome-jev-gallery

Awesome JEV Papers, open models and evaluations behind System One models and Jev. ⚡ System One & Jev · 🧪 Open Source · 📊 Evaluations · 📰 Commentary · 🧬 Lineage Co

awesomeawesome-listcalibrated-probabilitiescalibrationdecision-modelsjevllmllm-evaluationrlcdstructured-outputs

Quick Facts

Stars76
Forks5
LanguageJavaScript
CategoryLLM Plugin
Quality Score48.1256418880267/100
Last Updated2026-09-20
Created2026-09-17
Platformsnode
Est. Tokens~25k

Compatible Skills

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

  • awesome-jev-typesafe — semantic(0.51)+complementary+rare_topics+same_lang+similar_pop+shared_platform (77%)
  • openJev-verdict-2.0 — semantic(0.41)+complementary+shared_fw(huggingface)+rare_topics+similar_pop (72%)
  • awesome-jev-projects — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • awesome-jev — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)

awesome-jev-gallery alternative? Top 6 similar tools

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

  • awesome-jev-typesafe by valentynkit · ⭐ 97

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

  • awesome-typesafe by AbdelStark · ⭐ 372

    A curated list of official resources and community projects for TypeSafe, System One models, and Jev.

  • openJev-verdict-2.0 by Heman10x-NGU · ⭐ 133

    Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (

  • awesome-jev by AnotiaWang · ⭐ 96

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

  • 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.

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Frequently Asked Questions

What is awesome-jev-gallery?

awesome-jev-gallery is 🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.. It is categorized as a LLM Plugin with 76 GitHub stars.

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

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

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

You can find installation instructions and usage details in the awesome-jev-gallery GitHub repository at github.com/OmniJev/awesome-jev-gallery. The project has 76 stars and 5 forks, indicating an active community.

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

The top alternatives to awesome-jev-gallery on Agent Skills Hub include awesome-jev-typesafe, awesome-typesafe, openJev-verdict-2.0. 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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