Tooluniverse Drug Repurposing
CheckedThis 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
Run this in your project
terminal$ npx skills add mims-harvard/tooluniverse --skill tooluniverse-drug-repurposing -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- f5c37eebeb
- Scanned
- 18 files, 7,077 lines
- Copies in repo
- 3 — all of them scanned
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.