Security audit of PipiHi0926/llm-course-zh · Agent Tool by PipiHi0926 · ★ 73
Yes — llm-course-zh passed AgentSkillsHub's rule-based security scan with no dangerous patterns detected. As with any third-party skill, confirm what credentials it requests before production use.
What it is: 大型語言模型(LLM)的讀書會內容code部分整理，此github提供簡單、免費、易實作code範例，並由淺入深帶你一步步了解如何基於python建置LLM流程、部屬功能等
No dangerous patterns were detected: no credential exfiltration, no obfuscated downloads, no sandbox-escape attempts, no prompt-injection markers.
| Security grade | ✓ SAFE |
| Quality score | 48/100 |
| GitHub stars | 73 |
| Language | Jupyter Notebook |
| Last updated |
This is AgentSkillsHub's free basic audit: an automated rule-based scan covering SlowMist's 11 red-flag categories (credential exfiltration, obfuscated payloads, sandbox escape, prompt injection, and more) across 117,000+ open-source AI agent skills and MCP servers, refreshed every 8 hours. A SAFE grade is a scan result, not a guarantee — deep 5-dimension audits (code · credentials · vendor · supply-chain · operational) are available for enterprise. Audited: 2026-07-03.