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Tooluniverse Gene Enrichment

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

Tooluniverse Gene Enrichment identifies and highlights relevant genes within a given text, accelerating biological research & analysis.

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-gene-enrichment -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.

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  • No credential access: passed

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  • No pipe-to-shell installers: passed

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  • Pinned to a commit: passed

    Scanned mims-harvard/tooluniverse at f5c37eebeb.

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Commit
f5c37eebeb
Manifest
skills/tooluniverse-gene-enrichment/SKILL.md
Scanned
31 files, 13,287 lines
Copies in repo
3 — all of them scanned
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About this skill

tooluniverse-gene-enrichment

What it does

This skill enables AI agents to perform gene enrichment analysis, helping researchers identify biological themes within lists of genes. It processes input data to reveal significant functional categories or pathways associated with specific genetic markers.

When to use it

  • Analyzing output from high-throughput sequencing experiments like RNA-seq or microarrays.
  • Interpreting results from CRISPR screens to understand gene function and pathway involvement.
  • Validating candidate genes identified in genome-wide association studies (GWAS).
  • Generating hypotheses about disease mechanisms by connecting gene lists to known biological processes.

Key capabilities

  • Performs statistical enrichment analysis on user-provided gene lists.
  • Identifies overrepresented biological pathways and functional categories.
  • Integrates with the ToolUniverse ecosystem for seamless AI agent workflows.

Example prompts

  • "Run a gene enrichment analysis on this list of 500 differentially expressed genes to find top pathways."
  • "What biological functions are significantly enriched in my CRISPR screen hit list?"
  • "Interpret these GWAS results by performing enrichment analysis on the associated candidate genes."

Tips & gotchas

Ensure your input gene list is formatted correctly according to the tool's requirements for optimal statistical accuracy. Results should always be validated against current literature, as biological databases are frequently updated with new findings.