by guocong-bincai · Agent Tool · ★ 465
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git clone https://github.com/guocong-bincai/ai-interview-guide.git
Taken from the project's README on GitHub. Check the security audit before running it.
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 | 465 |
| Forks | 59 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 52/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-18 |
| Created | 2026-03-02 |
| Est. Tokens | ~84k |
🚀 AI 应用开发工程师面试宝典 ⚠️ 本次更新(v3.127):新增 Q17-Q19 2026年模型格局/推理模型/Thinking Budget(01-基础)、Q16 推理模型Prompt技巧(02-Prompt) 🎯 385+ 道高频面试题 从基础到进阶系统化学习 适用岗位: AI应用工程师 · LLM工程师 · AI Agent开发 · RAG系统开发 版本: v3.127 | 最后更新: 2026-06-03""" 📖 开始学习 · 🔥 高频题库 · 💡 实战案例 · 🤝 贡献指南 📖 项目简介 一个系统化、实战化、面试友好的 AI 应用开发工程师学习资源,涵盖从 LLM 基础到生产部署的完整技术栈。 🌟 核心特色 📚 系统化学习路径 - 24个模块从易到难,341+道题覆盖完整知识体系 🎯 高频题优先 - 基于真实面试数据,按出现频率排序 💡 实战导向...
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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: