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ResearchClaw 是基于 OpenClaw 的开源深度研究框架，通过 /research、/search、/llm 等命令或独立脚本自主检索网页、提取并合成信息，生成 markdown、html、json 格式的研究报告；默认使用 DuckDuckGo，可选 Bing 与多家 LLM 提供商，需 Python 3.10+ 及相应 API 密钥。

petercheng
petercheng
热度 27.15
最近更新 2026-04-30 13:46:50
分类：搜索依赖：代码执行 / 第三方 API / 内部调用大模型 / 读写文件应用场景：研究 / 报告撰写 / 摘要总结

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add opensourceclaw-researchclaw
Metadata
name
researchclaw
description
Open-source Deep Research framework. Autonomously searches, extracts, and synthesizes information from the web.
homepage
https://github.com/liantian-cn/researchclaw
metadata
{"openclaw":{"emoji":"🦁","requires":{"bins":["python"],"env":["OPENCLAW_API_KEY"]},"primaryEnv":"OPENCLAW_API_KEY"}}

ResearchClaw 🦁

Open-source Deep Research framework based on OpenClaw. An intelligent research assistant that autonomously searches, extracts, and synthesizes information from the web.

Installation

# Install from GitHub
pip install git+https://github.com/liantian-cn/researchclaw.git

# Or install locally
cd researchclaw
pip install -e .

OpenClaw Commands

/research

Research a topic deeply and generate a comprehensive report.

/research <topic> [--depth=3] [--engine=duckduckgo] [--output=path] [--format=markdown]

Examples:

/research AI trends 2026
/research quantum computing --depth=5
/research machine learning --engine=bing --output=./report.md

/search

Search for information on the web.

/search <query> [--limit=10] [--engine=duckduckgo]

Examples:

/search machine learning
/search neural networks --limit=20

/llm

Chat with LLM providers.

/llm <prompt> [--provider=deepseek] [--model=...] [--temperature=0.7]

Examples:

/llm What is Python?
/llm Explain quantum computing --provider=glm

/health

Check ResearchClaw skill health status.

/help

Show available commands.

Standalone Scripts

You can also use the standalone scripts:

python {baseDir}/scripts/research.py "artificial intelligence trends 2026"
python {baseDir}/scripts/search.py "machine learning"
python {baseDir}/scripts/llm.py "What is Python?"

Options

  • --depth, -d: Research depth level (default: 3)
  • --engine, -e: Search engine to use (duckduckgo, bing)
  • --output, -o: Output file path
  • --format, -f: Output format (markdown, html, json)
  • --lang, -l: Language (en, zh)

Requirements

  • Python 3.10+
  • Optional: API keys for search engines (Bing) and LLM providers (DeepSeek, GLM, etc.)

Environment Variables

  • DEEPSEEK_API_KEY: DeepSeek API key
  • GLM_API_KEY: GLM API key
  • MINIMAX_API_KEY: MiniMax API key
  • KIMI_API_KEY: Kimi API key
  • QWEN_API_KEY: Qwen API key
  • BING_API_KEY: Bing Search API key

Notes:

  • Uses DuckDuckGo by default (no API key required)
  • Supports multiple LLM providers for synthesis
  • Generates comprehensive research reports in multiple formats