by hellogumbo · Agent Tool · ★ 222
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 222 |
| Forks | 79 |
| Language | JavaScript |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 58/100 |
| Open Issues | 13 |
| Last Updated | 2026-11-04 |
| Created | 2026-09-17 |
| Platforms | node |
| Est. Tokens | ~25k |
Awesome Jev Directory of projects built on Jev, TypeSafe AI's System One model. Site: awesomejev.com (searchable, with GitHub stars refreshed daily). Jev takes a state plus a set of typed questions (Choice, Score, Noul) and returns typed answers with calibrated probabilities in one request, no text generation. Model id , endpoint , early access since 2026-09-15. Docs: docs.typesafe.ai.
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Jev / TypeSafe System One 中文精选列表：官方资料、SDK、爆款应用、Agent 工具、开源复现与独立评测，附中文上手指南，每日自动收录 GitHub 热门项目。
Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub
Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20
Typed decisions with TypeSafe's Jev, the first System One model
Curated Jev resources and runnable examples for typed AI decisions.
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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: