/install agentic-rag-cn
Deep Research
Search across 11 sources simultaneously via a local Agentic RAG-CN API, then synthesize results with evidence tables and contradiction detection.
Prerequisites
Agentic RAG-CN must be running locally. Check with:
curl -s http://localhost:18888/health
If unavailable, fall back to built-in web_search tool.
Usage
Call the API with a POST request:
curl -s -X POST http://localhost:18888/api/analyze \
-H "Content-Type: application/json" \
-d '{"question": "用户的问题"}'
Parse the JSON response and present results to the user in a readable format.
Response Format
The API returns:
answer— Structured answer with evidence tablessources— List of sources used (with URLs)confidence— Confidence score (0-1)contradictions— Any contradictions found across sourcestrace— Pipeline execution trace (16 steps)
When to Use vs Fallback
| Condition | Action |
|---|---|
| API health check succeeds | Use deep-research API |
| API health check fails | Fall back to web_search |
| User asks about Chinese topics (知乎, B站, 微信) | Prefer deep-research |
| User asks general English questions | web_search is usually sufficient |
Presenting Results
Format the response as:
- Answer summary — 2-3 sentences
- Evidence table — Key findings with sources
- Contradictions (if any) — Highlight conflicting info
- Sources — Numbered list of URLs
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install agentic-rag-cn - After installation, invoke the skill by name or use
/agentic-rag-cn - Provide required inputs per the skill's parameter spec and get structured output
What is Deep Research?
Deep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub). Use when t... It is an AI Agent Skill for Claude Code / OpenClaw, with 41 downloads so far.
How do I install Deep Research?
Run "/install agentic-rag-cn" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Deep Research free?
Yes, Deep Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Deep Research support?
Deep Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Deep Research?
It is built and maintained by nb-clh (@nb-clh); the current version is v1.0.0.