Tooluniverse Drug Drug Interaction

Name: Tooluniverse Drug Drug Interaction
Author: mims-harvard

Checked

mims-harvard·vlatest·other·Apache-2.0

This skill identifies potential drug interactions using ToolUniverse data, aiding in safer medication decisions and minimizing adverse effects.

Repository

Install on your platform

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

Run this in your project

terminal

$ npx skills add mims-harvard/tooluniverse --skill tooluniverse-drug-drug-interaction -a claude-code

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 28 Sept 2026

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
Manifest: skills/tooluniverse-drug-drug-interaction/SKILL.md
Scanned: 18 files, 8,142 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

The drug-drug interaction skill analyzes pairs of medications to identify potential adverse effects, contraindications, and pharmacokinetic conflicts. It processes specific drug names or generic codes to return clinically relevant safety data for AI agents managing patient care plans.

When to use it

Medication Reconciliation: Verify safety when a patient is prescribed a new drug alongside existing chronic therapies.
Polypharmacy Review: Screen complex regimens involving multiple concurrent prescriptions for hidden interaction risks.
Clinical Decision Support: Provide immediate feedback during the drafting of treatment plans to prevent prescribing errors.
Patient Education: Explain potential side effects or timing requirements when combining specific over-the-counter and prescription drugs.

Key capabilities

Identifies major and moderate drug-drug interactions based on established clinical databases.
Returns detailed interaction profiles including severity levels and mechanism of action.
Supports queries using both brand names and generic chemical identifiers.
Flags contraindications where specific drug combinations should be avoided entirely.

Example prompts

"Check for interactions between Warfarin and Aspirin in a 75-year-old patient."
"Analyze the safety of combining Lisinopril with Potassium Chloride."
"What are the risks of taking Omeprazole alongside Clopidogrel?"

Tips & gotchas

Ensure you provide clear drug names or codes to avoid ambiguous results. While this tool identifies known interactions, it should not replace a full clinical review by a licensed healthcare professional for complex cases.