awesome-jev: A source-reviewed gallery of JEV-related projects with 50+ GitHub stars

by BeatAPI · Agent Tool · ★ 69

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

Security audit verdict: SAFE · quality 56/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsawesome-listdecision-modelsjevopen-source

Quick Facts

Stars69
Forks8
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score56/100
Open Issues3
Last Updated2026-10-16
Created2026-09-20
Platformsnode
Est. Tokens~17k

About awesome-jev

Browse the live Awesome JEV gallery · Featured projects · All 125 projects · JSON catalogue · 简体中文 · 日本語 Awesome JEV A source-reviewed gallery of JEV-related projects with 100+ GitHub stars — integrations, tools, open models, and experiments. We only list projects at or above 100 stars. See where JEV chooses, scores, routes, or filters—while application code keeps control of execution.

Compatible Skills

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

  • awesome-jev — semantic(0.42)+complementary+rare_topics+same_lang+shared_platform (59%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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