<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Langgraph on TPOW Lab</title><link>https://tpow-001.netlify.app/tags/langgraph/</link><description>Recent content in Langgraph on TPOW Lab</description><generator>Hugo</generator><language>en</language><copyright>Copyright &amp;copy; 2025-2026 TPOW-001. All Rights Reserved.</copyright><lastBuildDate>Fri, 12 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tpow-001.netlify.app/tags/langgraph/index.xml" rel="self" type="application/rss+xml"/><item><title>SkillSpector 完整教學 — AI Agent Skill 安全掃描器</title><link>https://tpow-001.netlify.app/post/2026-06-12-nvidia-skillspector-tutorial/</link><pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-06-12-nvidia-skillspector-tutorial/</guid><description><![CDATA[<h1 id="skillspector-完整教學--ai-agent-skill-安全掃描器" data-numberify>SkillSpector 完整教學 — AI Agent Skill 安全掃描器<a class="anchor ms-1" href="#skillspector-完整教學--ai-agent-skill-安全掃描器"></a></h1>

<h2 id="1-專案定位" data-numberify>§1 專案定位<a class="anchor ms-1" href="#1-專案定位"></a></h2>

<h3 id="11-解決什麼問題" data-numberify>1.1 解決什麼問題<a class="anchor ms-1" href="#11-解決什麼問題"></a></h3>
<p>AI agent skill（如 Claude Code skill、Codex CLI skill、Gemini CLI skill）在安裝時幾乎沒有審查機制。根據 NVIDIA 引用的研究 &ldquo;Agent Skills in the Wild&rdquo;（Liu et al., 2026），在 42,447 個 skill 樣本中：</p>]]></description></item><item><title>Tutorial: Md-Emon-Hasan/MediGenius — LangGraph 多 Agent 醫療 AI 助手完整教學</title><link>https://tpow-001.netlify.app/post/2026-06-06-medigenius-tutorial/</link><pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-06-06-medigenius-tutorial/</guid><description><![CDATA[<h1 id="tutorial-medigenius--langgraph-多-agent-醫療-ai-助手" data-numberify>Tutorial: MediGenius — LangGraph 多 Agent 醫療 AI 助手<a class="anchor ms-1" href="#tutorial-medigenius--langgraph-多-agent-醫療-ai-助手"></a></h1>
<blockquote>
<p>一份「讀完就能理解架構 + 知道怎麼改 + 清楚資安邊界」的內部技術手冊。
目標讀者：已會 Python + FastAPI，想學 LangGraph multi-agent 編排、RAG pipeline、和 fallback chain 設計模式的工程師。</p>]]></description></item><item><title>NVIDIA VSS Blueprint 完整教學 — Video Search and Summarization (v3.1.0)</title><link>https://tpow-001.netlify.app/post/2026-05-18-video-search-and-summarization-tutorial/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-05-18-video-search-and-summarization-tutorial/</guid><description><![CDATA[<h1 id="nvidia-vss-blueprint-完整教學--video-search-and-summarization-v310" data-numberify>NVIDIA VSS Blueprint 完整教學 — Video Search and Summarization (v3.1.0)<a class="anchor ms-1" href="#nvidia-vss-blueprint-完整教學--video-search-and-summarization-v310"></a></h1>
<blockquote>
<p>本教學以 <strong>2026-05-15 main 分支快照</strong> 為基礎，搭配 v3.1.0 release 對照撰寫。
對應的 metadata 報告：<code>2026-05-17-github-NVIDIA-AI-Blueprints-video-search-and-summarization.md</code>
對應的 quarkdown HTML：<code>projects/video-search-and-summarization/quarkdown-out/02-tutorial/index.html</code></p>]]></description></item></channel></rss>