by luochang212 · Agent Tool · ★ 450
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add luochang212/dive-into-langgraphTaken from the project's README on GitHub.
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 | 450 |
| Forks | 57 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 63/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-11 |
| Created | 2025-11-02 |
| Est. Tokens | ~17k |
Dive into LangGraph 中文 | English 📚 在线阅读地址 📖《LangGraph 1.0 完全指南》 从零开始，动手实现强大的智能体 📢 News ✨ 2026-03-02 更新 本教程已转为 Agent Skill。现在无需使用人脑学习本教程，只需要为你的 Claude Code 安装本 Skill，即可写出高质量的 LangChain 和 LangGraph 代码。详见：SKILL.md 使用 npx 安装本 Skill (dive-into-langgraph)： n
These tools work well together with dive-into-langgraph for enhanced workflows:
Looking for a dive-into-langgraph alternative? If you're comparing dive-into-langgraph with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent t
AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function
OpenChatBI is an intelligent chat-based BI tool powered by large language models, designed to help users query
An introduction to the world of AI Agents
Full-stack AI app generator — FastAPI + Next.js with agents, RAG, streaming, auth, and 20+ integrations out of
A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scal
Explore other popular agent 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: