Ai Intelligent Knowledge Base

企业知识管理，知识沉淀 + 智能检索。

Security Scan

The skill's instructions ask you to clone and run unreviewed code from GitHub and mention external services (Milvus, embeddings) but declare no credentials or configuration, which is inconsistent and warrants caution.

Purpose & Capability

The SKILL.md describes a full knowledge-base system (vector DB, embeddings, knowledge graph) but the skill declares no required environment variables, credentials, or config paths. A real deployment of Milvus and embedding providers normally requires host/credentials/settings — their absence is inconsistent with the stated technical stack.

Instruction Scope

Runtime instructions simply tell the user/agent to git clone a GitHub repo, pip install requirements, and run app.py. That means executing arbitrary, unreviewed code from a remote repo; the docs do not enumerate what files, network endpoints, or secrets the app will access at runtime.

Install Mechanism

There is no formal install spec (instruction-only). The instructions point to a GitHub URL (a well-known host), which is typical, but cloning and running the repository writes and executes code locally — this is expected but still risky when the repository hasn't been reviewed.

Credentials

The skill declares no required env vars or primary credential, yet the described stack (embeddings, Milvus vector DB) typically requires API keys, DB endpoints, or credentials. The omission of any declared secrets or configuration is disproportionate to the functionality claimed.

Persistence & Privilege

The skill is not set to always:true and has no install-time persistence metadata; it is user-invocable and not forced into every agent run, which is appropriate.

What to consider before installing

This skill is instruction-only and tells you to clone and run code from GitHub but does not disclose required configuration or credentials for services it mentions (Milvus, embeddings). Before installing or running it: 1) Inspect the referenced GitHub repository and review app.py and requirements.txt for network calls, credential usage, and unexpected behavior. 2) Run the code in an isolated environment (VM/container) and scan it with antivirus/SE tools. 3) Verify what external services (vector DB, embedding provider) it requires and only provide credentials in a least-privilege way or use test credentials. 4) Prefer skills that declare required environment variables and a trustworthy source/homepage; ask the publisher for the repository origin and a security review if you need to use this in production.

AI 智能知识库系统

描述

企业知识管理，知识沉淀 + 智能检索。

功能

• 知识沉淀（文档管理）
• 智能检索（语义搜索）
• 知识图谱（关联推荐）
• 知识问答（AI问答）
• 权限管理（分级授权）

定价

• 基础版：¥199/月（1000 文档）
• 专业版：¥999/月（10000 文档）
• 企业版：¥2999/月（无限文档）

适用场景

• 企业知识库
• 技术文档
• 培训资料
• FAQ 系统

技术栈

• Python + FastAPI
• 向量数据库（Milvus）
• 语义搜索（Embedding）
• 知识图谱

安装

git clone https://github.com/openclaw-skills/ai-intelligent-knowledge-base
cd ai-intelligent-knowledge-base
pip install -r requirements.txt
python app.py

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创建：2026-03-13 作者：OpenClaw Skills Team