jev: Ruby client for the typesafe AI Jev model

by virolea · Agent Tool · ★ 5

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

Security audit verdict: SAFE · quality 70/100

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.

aijevrubytypesafe

Quick Facts

Stars5
Forks0
LanguageRuby
CategoryAgent Tool
LicenseMIT
Quality Score70/100
Last Updated2026-09-20
Created2026-09-19
Platformscli, ruby
Est. Tokens~3k

About jev

Ruby client for the typesafe AI Jev model

jev alternative? Top 6 similar tools

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

  • HA-Jev by AboveColin · ⭐ 78

    Ask your house a question, get a number back. Home Assistant integration for TypeSafe Jev: typed answers as se

  • monadic-chat by yohasebe · ⭐ 71

    Monadic Chat is a locally hosted web application for creating and using intelligent chatbots. It gives LLMs a

  • awesome-jev by OmniJev · ⭐ 65

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

  • Canny by qkal · ⭐ 50

    Stops AI coding agents from claiming work is done without evidence. Deterministic hooks decide, TypeSafe's Jev

  • limboo by limboo-ai · ⭐ 92

    An Orchestrate multiple coding agent desktop app

  • limboo by BotCoder254 · ⭐ 73

    An Orchestrate multiple coding agent desktop app

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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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