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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic
  1. Skills
  2. /
  3. mims-harvard
  4. /
  5. tooluniverse
  6. /
  7. Tooluniverse Target Research

Tooluniverse Target Research

Editor's Note

This is a comprehensive drug target intelligence gathering workflow that pulls data from nine parallel research paths including tissue expression (GTEx, HPA), protein interactions (STRING), genetic variants (ClinVar, gnomAD), and druggability databases (DGIdb, ChEMBL). It's built for answering "tell me everything about target X" queries in drug discovery, with mandatory evidence grading (T1-T4), inline citations, and a report-first approach that creates a structured markdown file before populating it progressively. The workflow includes a target evaluation framework that walks through genetic evidence, druggability, safety, and competitive landscape. The instructions are extremely prescriptive about avoiding hallucinations (look up, don't guess) and handling tool parameter verification before making calls. Worth noting it explicitly documents negative results rather than leaving empty sections, which is good practice for research transparency.

Install

npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-target-research
Votes
0
Installs275
GitHub Stars1.4k
Categories
Data Science & ML
First SeenJun 3, 2026
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