by datawhalechina · AI Tool · ★ 477
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. 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.
| Stars | 477 |
| Forks | 57 |
| Language | Jupyter Notebook |
| Category | AI Tool |
| Quality Score | 51/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-21 |
| Created | 2026-09-20 |
| Est. Tokens | ~17k |
Jev Cookbook ⚡ 《Jev 中文教程：从类型化决策到智能体应用》 从三种问题原语，到官方 18 篇实战配方、语音智能家居、模型评测与本地微调——全面掌握 System One 判断模型的开发范式 🎯 项目介绍 大模型应用里最常见也最脆弱的一环，是把模型生成的文本解析回程序能用的决策——慢、贵、还会坏。System One 模型代表另一条路线：原生输出类型化决策与校准概率，分支、排序、路由直接交给代码。 Jev 是 TypeSafe AI 的旗舰 System One 模型：发送状态（state）与类型化问题（Choice / Score / Noul 三种原语），返回带概率与置信度的结构化答案——不做文本生成，无需解析。这条路线的中文教程此前几乎是空白，本项目把它补上：十一章可运行的中文教程 + 全站文档翻译 + 500+ 文件知识库，从入门一路打通到用 RLCD...
These tools work well together with jev-cookbook for enhanced workflows:
Looking for a jev-cookbook alternative? If you're comparing jev-cookbook with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
All powerful skills of ClaudeKit.cc!
A tool uses Windows Filtering Platform (WFP) to block Endpoint Detection and Response (EDR) agents from report
A java agent to generate method mappings to use with the linux `perf` tool
Skills I use with Claude for shaping
A tool to make socks connections through HTTP agents
Open-source AI research assistant for biomedicine — chat to run RNA-seq, drug discovery, clinical analysis, an
Explore other popular ai tool tools:
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: