awesome-typesafe: A curated list of official resources and community projects for TypeSafe, System One models, and Jev

by AbdelStark · Agent Tool · ★ 400

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

Security audit verdict: SAFE · quality 61/100

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-agentsawesome-listjevllmmachine-learningstructured-outputsystem-one-modelstypesafe

Quick Facts

Stars400
Forks63
LanguageCSS
CategoryAgent Tool
LicenseMIT
Quality Score61/100
Open Issues4
Last Updated2026-09-20
Created2026-09-17
Est. Tokens~14k

About awesome-typesafe

Awesome TypeSafe A curated list of official resources and community projects for TypeSafe, System One models, and Jev. TypeSafe's Jev returns typed, probabilistic decisions instead of generated text. This list focuses on the things you can use to understand that model shape, build with it, test its limits, and reproduce community experiments. Independent community project.

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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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