UniD3 is a multi-knowledge-graph built from 150,000+ PubMed articles, stored as 6 GraphML files. It supports drug-disease matching, effectiveness assessment, and drug-target analysis.
How to install unid3?
qsong-github/drugclaw/unid3
$npx -y skills add qsong-github/drugclaw --skill unid3Installs into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/qsong-github/drugclaw" --skill "qsong-github/drugclaw/unid3"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/qsong-github/drugclaw" that are relevant to the current task. Run `npx skills add "https://github.com/qsong-github/drugclaw"` and select the relevant skills, then follow their instructions.
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