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Tooluniverse Network Pharmacology

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

This tool leverages network pharmacology to analyze drug interactions and biological pathways, aiding in understanding complex disease mechanisms.

Repository

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-network-pharmacology -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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: stringdb-downloads.org.

    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.

    Hosts contacted

    stringdb-downloads.orgundeclared

    What it found (3 of 6)

    • plugin/skills/tooluniverse-network-pharmacology/scripts/network_proximity.py:36contacts stringdb-downloads.org
      STRING_LINKS = "https://stringdb-downloads.org/download/protein.links.v12.0/9606.protein.links.v12.0.txt.gz"
    • plugin/skills/tooluniverse-network-pharmacology/scripts/network_proximity.py:37contacts stringdb-downloads.org
      STRING_INFO = "https://stringdb-downloads.org/download/protein.info.v12.0/9606.protein.info.v12.0.txt.gz"
    • plugins/tooluniverse/skills/tooluniverse-network-pharmacology/scripts/network_proximity.py:36contacts stringdb-downloads.org
      STRING_LINKS = "https://stringdb-downloads.org/download/protein.links.v12.0/9606.protein.links.v12.0.txt.gz"

  • 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 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-network-pharmacology/SKILL.md
Scanned
25 files, 6,233 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 provides access to the ToolUniverse Network Pharmacology dataset, enabling AI agents to analyze complex drug-target interactions and identify multi-target therapeutic strategies. It supports research into polypharmacology by querying established relationships between chemical compounds and biological pathways.

When to use it

  • Investigating how a single drug affects multiple disease pathways simultaneously.
  • Identifying potential new indications for existing drugs based on shared network targets.
  • Analyzing side effect profiles by mapping off-target interactions within the pharmacological network.
  • Supporting hypothesis generation for repurposing strategies in systems biology research.

Key capabilities

  • Access to curated drug-target interaction data from the ToolUniverse repository.
  • Network-based analysis of polypharmacology and multi-target effects.
  • Integration with AI agents to query specific compound-pathway relationships.

Example prompts

  • "Find all drugs in the network that target both inflammatory and metabolic pathways."
  • "Identify potential repurposing candidates for Alzheimer's disease based on shared targets with Parkinson's treatments."
  • "Analyze the side effect profile of Drug X by mapping its off-target interactions in the pharmacological network."

Tips & gotchas

Ensure your AI agent has explicit permissions to access external scientific databases, as this skill relies on curated data from ToolUniverse. Results should always be validated against clinical literature before making therapeutic recommendations.