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在 OpenClaw 中安装
/install langflow
功能描述
Visual drag-and-drop builder for AI-powered agents
使用说明 (SKILL.md)
\r \r
Langflow\r
\r
Description\r
Visual drag-and-drop builder for AI-powered agents\r \r
Stars\r
146595 stars on GitHub\r \r
Source\r
https://github.com/langflow-ai/langflow\r \r
Status\r
Absorbed from learned.db. Ready for integration.\r \r
触发场景\r
- 用户说"langflow"、"可视化工作流"\r
- 用户说"拖拽式AI"、"流程构建"\r \r \r
B站学习\r
学习时间: 2026-06-01 20:57\r \r
- 厦门东方远景: 本地大模型部署-开源智能体开发平台\r
- 关键词: 本地大模型部署, 开源智能体开发平台\r
- Fentwer: 高级Python AI智能体教程-使用RAG、Langflow和多智能体\r
- 关键词: 高级Python, AI智能体教程, 使用RAG, Langflow和多智能体\r \r
B站学习\r
学习时间: 2026-06-01 21:02\r \r
- 厦门东方远景: 本地大模型部署-开源智能体开发平台\r
- Fentwer: 高级Python AI智能体教程-使用RAG、Langflow和多智能体\r
- AIGCLINK: 大模型应用选择对比：1、知识库对比：dify、fastgpt；2、agent构建器选择：flowise、langflow、bisheng 3、召回率\r \r
融合来源: langflow-b5b61d\r
融合时间: 自动合并\r \r 学习时间: 2026-06-01 21:08\r
- user_81915405475: b0d06bd8-b3f1-4870-9b50-03ffae8e0cd2\r
- 厦门东方远景: 本地大模型部署-开源智能体开发平台\r
- Fentwer: 高级Python AI智能体教程-使用RAG、Langflow和多智能体\r
融合时间: 自动合并\r 学习时间: 2026-06-02 07:52\r
- 云云胖: d5cbeb5577606d045abeab09c7df61b1\r
- 雾岛之樱520: aabddbb532f8ca8d2b61b5d1aab5c262\r
- 喝嗷郝: f6039ce61fea4d5d826fe5cbae21756d\r \r
B站学习 (第1轮)\r
学习时间: 2026-06-02 09:21\r \r
- 厦门东方远景: 本地大模型部署-开源智能体开发平台\r https://www.bilibili.com/video/BV163G2zyEBX\r
- Fentwer: 高级Python AI智能体教程-使用RAG、Langflow和多智能体\r https://www.bilibili.com/video/BV1kqCzYAEt5\r
- AIGCLINK: 大模型应用选择对比：1、知识库对比：dify、fastgpt；2、agent构建器选择：flowise、langflow、bisheng 3、召回率\r https://www.bilibili.com/video/BV14m4y1N71d\r \r
B站学习 (第2轮)\r
学习时间: 2026-06-02 09:34\r \r
- 厦门东方远景: 本地大模型部署-开源智能体开发平台\r https://www.bilibili.com/video/BV163G2zyEBX\r
- Fentwer: 高级Python AI智能体教程-使用RAG、Langflow和多智能体\r https://www.bilibili.com/video/BV1kqCzYAEt5\r
- AIGCLINK: 大模型应用选择对比：1、知识库对比：dify、fastgpt；2、agent构建器选择：flowise、langflow、bisheng 3、召回率\r https://www.bilibili.com/video/BV14m4y1N71d\r
安全使用建议
This appears acceptable to install from a security standpoint. Users should be aware that generic phrases like visual workflow or drag-and-drop AI may activate it unexpectedly, so narrowing the trigger wording to mention Langflow explicitly would reduce confusion.
能力评估
Purpose & Capability
The described capability appears aligned with Langflow or visual workflow assistance, and the supplied evidence does not show unrelated data access, credential handling, code execution, destructive actions, or exfiltration.
Instruction Scope
SkillSpector flagged broad trigger language around visual workflows and drag-and-drop AI; that could cause accidental activation, but it is not by itself a material security concern without high-impact actions or hidden behavior.
Install Mechanism
No suspicious install mechanism, executable payload, package-install abuse, or shipped credential evidence was provided; VirusTotal telemetry was clean with 64 undetected engines and no malicious or suspicious detections.
Credentials
The supplied context does not show broad local indexing, local profile/session use, credential collection, sensitive filesystem access, or network behavior beyond the apparent product purpose.
Persistence & Privilege
No evidence was provided of persistence, background workers, privilege escalation, autoruns, or automatic high-impact actions.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install langflow - 安装完成后，直接呼叫该 Skill 的名称或使用
/langflow触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial integration of the langflow skill.
- Added SKILL.md with detailed skill description and trigger keywords in both English and Chinese.
- Included Bilibili learning resources and related links for further study.
- Noted GitHub stars and provided source information.
- Defined scenarios that trigger the skill, supporting both English and Chinese input.
- Documented fusion source info and update history for transparency.
元数据
常见问题
Langflow 是什么？
Visual drag-and-drop builder for AI-powered agents. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 39 次。
如何安装 Langflow？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install langflow」即可一键安装，无需额外配置。
Langflow 是免费的吗？
是的，Langflow 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Langflow 支持哪些平台？
Langflow 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Langflow？
由 534422530（@534422530）开发并维护，当前版本 v1.0.0。
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