Skill

Open-source Deep Research framework. Autonomously searches, extracts, and synthesizes information from the web.

This skill appears to do what it says: web search, extraction, and synthesis using optional LLM/search provider APIs. Before installing, verify the upstream GitHub repository and review the code for network endpoints you trust, since pip install from a GitHub URL will execute repository code locally. Confirm why OPENCLAW_API_KEY is marked as the primary required credential (is it a platform integration token?), and only provide provider API keys (BING, DEEPSEEK, GLM, etc.) if you trust those services. Because the package may pull in optional heavy dependencies, consider installing in a sandboxed virtual environment. If you need higher assurance, ask the publisher for an explanation of OPENCLAW_API_KEY usage and for a minimal install option that excludes optional servers/frameworks.

Type: OpenClaw Skill Name: opensourceclaw-researchclaw Version: 0.5.0 The ResearchClaw skill bundle is a well-structured framework for autonomous web research and information synthesis. The code implements standard command parsing, lifecycle management, and integration with external LLM and search providers (e.g., DuckDuckGo, DeepSeek) using environment variables for API keys. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the file-writing capabilities in `interface.py` and `scripts/research.py` are consistent with the stated purpose of generating research reports.