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Rag Construction
作者
datadrivenconstruction
· GitHub ↗
· v2.1.0
1655
总下载
6
收藏
6
当前安装
2
版本数
在 OpenClaw 中安装
/install rag-construction
功能描述
Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems
安全使用建议
This skill appears coherent and does not ask for credentials or external installs. Note it has filesystem permission (to read files you point it at) — only provide the project files you intend to index and avoid supplying sensitive system files or credentials. If you later connect cloud storage or APIs for embeddings/search, expect to supply appropriate keys then; review those requests before granting them.
功能分析
Type: OpenClaw Skill
Name: rag-construction
Version: 2.1.0
The skill is designed to build RAG systems for construction knowledge bases. The Python code in SKILL.md implements document chunking, a simulated embedding model, and an in-memory vector store, with no direct external network calls or file I/O. The `claw.json` requests `filesystem` permission, which is a broad capability but justifiable for a document processing skill that would need to read input files or save exported data. The `SKILL.md` and `instructions.md` files contain no prompt injection attempts or malicious instructions for the agent. The code is well-aligned with its stated purpose and lacks any indicators of intentional harmful behavior.
能力评估
Purpose & Capability
The name/description (RAG for construction documents) aligns with the provided SKILL.md code and instructions: document and chunking classes, chunking strategies, and guidance for ingesting CSV/Excel/JSON/files. Requiring python3 and filesystem access is expected for processing local documents.
Instruction Scope
SKILL.md and instructions.md focus on ingesting user-provided project data and files, chunking, embedding, search, and export. The instruction material restrains actions to data supplied or referenced by the user. There is no instruction to read unrelated system files, environment secrets, or to transmit data to unknown endpoints in the provided content.
Install Mechanism
There is no install spec and no external downloads; the skill is instruction-only. That minimizes disk writes and arbitrary code installation risk.
Credentials
The skill declares no environment variables or API credentials. The only non-code permission in claw.json is filesystem access, which is proportionate for a tool that ingests and exports local documents.
Persistence & Privilege
always is false and the skill does not request persistent/global privileges or modifications to other skills. It does request filesystem access (manifest permission), which is expected for document ingestion but is the primary privilege to be aware of.
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 rag-construction - 安装完成后，直接呼叫该 Skill 的名称或使用
/rag-construction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
v2.1.0
rag-construction 2.1.0
- Added SKILL.md describing the feature set, quick start guide, and technical reference.
- Provides tools for building Retrieval-Augmented Generation (RAG) systems for construction knowledge bases.
- Includes classes for document management, chunking strategies, and semantic search support.
- Enables creation of AI-powered, searchable document systems for construction projects.
- Metadata now describes supported platforms and requirements.
v1.0.0
Rag Construction 1.0.0
- Initial release of the skill to build RAG (Retrieval-Augmented Generation) systems for construction knowledge bases.
- Supports document chunking by fixed size, paragraph, section, and sentence strategies.
- Includes rich data models for construction documents, chunking, and search results.
- Designed for semantic search and AI-powered answers across construction document types such as specifications, drawings, contracts, and more.
元数据
常见问题
Rag Construction 是什么？
Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1655 次。
如何安装 Rag Construction？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rag-construction」即可一键安装，无需额外配置。
Rag Construction 是免费的吗？
是的，Rag Construction 完全免费（开源免费），可自由下载、安装和使用。
Rag Construction 支持哪些平台？
Rag Construction 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux, win32）。
谁开发了 Rag Construction？
由 datadrivenconstruction（@datadrivenconstruction）开发并维护，当前版本 v2.1.0。
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