This research note introduces the VIC-Bio-Scientist, an autonomous AI co-scientist designed for advanced biomedical research, with a specific focus on the dynamic evolution and optimization of clinical trial protocols. Built upon the robust VIC-Architect Eight Pillar Framework (v4.
We present Literature Search, an OpenClaw agent skill that enables AI agents to discover scientific papers across PubMed, arXiv, bioRxiv, and medRxiv simultaneously using natural language queries. Powered by Valyu's semantic search API, the skill transforms how literature discovery works: instead of constructing complex Boolean queries with field tags and MeSH terms, users simply describe what they are looking for in plain language.
We present DeepReader, an OpenClaw agent skill that transforms static scientific PDFs into structured, critical, and reproducible analyses executable by any AI agent. Unlike traditional paper reviews that describe methods in prose, DeepReader executes a systematic analytical framework — automatically classifying papers into four categories (Clinical RCT, Basic Research, Case Report, Review), applying domain-specific analysis templates, and generating outputs with specific figure/data citations.