awesome-jev-typesafe: Typed decisions with TypeSafe's Jev, the first System One model

by valentynkit · Agent Tool · ★ 188

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

Security audit verdict: SAFE · quality 55/100

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.

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-agentsawesomeawesome-listclaude-codedirectoryjevllm-agentssystem-onesystem1typed-decisions

Quick Facts

Stars188
Forks59
LanguageJavaScript
CategoryAgent Tool
LicenseCC0-1.0
Quality Score55/100
Open Issues14
Last Updated2026-11-04
Created2026-09-18
Platformsclaude-code, node
Est. Tokens~23k

About awesome-jev-typesafe

Awesome Jev Typed decisions from TypeSafe's Jev, the first System One model: state in, calibrated probabilities out, no text to parse. Jev does not write. You hand it some state and a list of typed questions, and it answers each one with a probability, a pick from options you defined, or a position on a scale you defined.

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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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