Scholarsearch

Academic literature search and briefing generation with Tavily API, PubMed, and Google Scholar. Use when you need to search for latest academic papers on spe...

This skill claims to search academic sources and automatically save/send briefings, but it omits critical implementation details. Before installing or enabling it, ask the publisher these questions: (1) What exact credentials or tokens are required (Tavily API key, Feishu app token, Obsidian vault path)? Where will you store them? (2) Where does the 'scholarsearch' binary come from and who maintains it? Is there an install step or platform-provided connector? (3) What network endpoints will be contacted (Tavily domain, Feishu API domain, any other third-party hosts)? Can you review them? (4) What data is sent to Feishu and who receives it — avoid sending protected or sensitive patient data. (5) Will the skill run on a schedule and how can you disable it? If the publisher cannot provide clear, verifiable answers or a trustworthy source/repository for the code, treat the skill as risky and prefer a vetted alternative or run it in a sandboxed environment with isolated credentials.

Type: OpenClaw Skill Name: scholarsearch Version: 1.1.0 The 'scholarsearch' skill is a set of instructions for an AI agent to automate academic literature reviews using the Tavily API, PubMed, and Google Scholar. It defines a clear workflow for searching, ranking papers based on clinical relevance, and delivering reports to Obsidian and Feishu. The bundle contains no executable code, suspicious network calls, or malicious prompt-injection attempts, and its behavior is entirely consistent with its stated purpose as a research assistant tool.