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Tooluniverse Drug Repurposing

Checked
mims-harvard·vlatest·other·Apache-2.0

This skill leverages ToolUniverse to identify existing drugs that could be repurposed for new therapeutic uses, accelerating drug development.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add mims-harvard/tooluniverse --skill tooluniverse-drug-repurposing -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mims-harvard

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned mims-harvard/tooluniverse at f5c37eebeb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
18 files, 7,077 lines
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to discover and install specialized capabilities for drug repurposing, a process of finding new therapeutic uses for existing medications. It streamlines the identification of potential treatments by leveraging pre-built logic within the ToolUniverse ecosystem.

When to use it

  • Accelerating research pipelines when investigating alternative uses for approved pharmaceuticals.
  • Reducing development time by avoiding the need to build drug discovery tools from scratch.
  • Integrating existing medication data into AI workflows to suggest novel clinical applications.
  • Supporting rapid prototyping of repurposing hypotheses during early-stage screening.

Key capabilities

  • Discovery of relevant drug repurposing skills within the ToolUniverse registry.
  • Installation and integration of specialized modules for analyzing existing drug libraries.
  • Facilitation of connections between known compounds and new disease targets.

Example prompts

  • "Install the drug repurposing module to analyze how current cardiovascular medications might treat neurodegenerative conditions."
  • "Search ToolUniverse for skills that can identify off-label uses for antibiotics in cancer therapy."
  • "Integrate a repurposing engine to cross-reference FDA-approved drugs with recent genomic data for rare diseases."

Tips & gotchas

Ensure your AI agent has access to the ToolUniverse registry before attempting installation. This skill is designed for hypothesis generation; experimental validation remains essential for clinical application.