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Tooluniverse Systems Biology

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

This AI agent leverages ToolUniverse’s Systems Biology tools for complex biological data analysis and modeling, accelerating research insights.

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-systems-biology -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.

Commit
f5c37eebeb
Manifest
skills/tooluniverse-systems-biology/SKILL.md
Scanned
19 files, 2,709 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 tooluniverse-systems-biology skill provides AI agents with access to the ToolUniverse ecosystem, enabling them to discover and install specialized skills for complex biological modeling and analysis. It serves as a gateway to integrating advanced computational tools directly into agent workflows for life sciences research.

When to use it

  • Deploying agents that require dynamic installation of third-party biological simulation libraries.
  • Automating the discovery of niche bioinformatics tools within a specific research domain.
  • Building modular AI systems where biological capabilities are swapped or updated via the ToolUniverse registry.
  • Integrating Harvard-affiliated biological data processing pipelines into autonomous agent environments.

Key capabilities

  • Discovery and retrieval of skills from the ToolUniverse repository.
  • Installation mechanisms for external biological tools and libraries.
  • Support for complex, multi-step biological workflows managed by AI agents.
  • Integration with the broader mims-harvard tooluniverse ecosystem.

Example prompts

  • "Install the latest protein folding simulation tool from ToolUniverse into my current agent environment."
  • "Search ToolUniverse for skills related to CRISPR off-target prediction and list the top three options."
  • "Configure this agent to use a biological data processing skill installed via ToolUniverse for analyzing genomic sequences."

Tips & gotchas

Ensure your AI agent has write permissions to the target environment before attempting to install new skills, as installation may modify system libraries. Verify that the specific biological tool you intend to install is compatible with your agent's underlying runtime framework to prevent execution errors.