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Tooluniverse Cancer Variant Interpretation

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

This skill interprets cancer variant data from ToolUniverse, aiding in personalized risk assessment and treatment decisions by synthesizing complex genomic information.

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-cancer-variant-interpretation -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-cancer-variant-interpretation/SKILL.md
Scanned
25 files, 4,964 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-cancer-variant-interpretation skill enables AI agents to access and interpret data from the ToolUniverse database, specifically focusing on cancer-related genetic variants. It provides structured information regarding variant classifications, associated genes, and clinical significance for oncology research and analysis.

When to use it

  • Analyzing somatic mutations in tumor sequencing reports to determine potential driver events.
  • Researching germline predisposition variants linked to hereditary cancer syndromes.
  • Cross-referencing specific nucleotide changes with known databases to assess pathogenicity.
  • Generating summaries of variant frequencies and clinical annotations for medical literature reviews.

Key capabilities

  • Querying the ToolUniverse repository for cancer-specific genetic variant records.
  • Retrieving detailed metadata including gene names, protein effects, and population allele frequencies.
  • Filtering results based on specific cancer types or variant classification statuses (e.g., pathogenic, benign).

Example prompts

  • "What is the clinical significance of the BRCA1 c.68_69delAG variant in ovarian cancer?"
  • "List all known pathogenic variants associated with Lynch syndrome found in the ToolUniverse dataset."
  • "Summarize the frequency and protein impact of EGFR mutations identified in lung adenocarcinoma cases."

Tips & gotchas

Ensure your AI agent has appropriate access permissions to the ToolUniverse API, as this skill relies on external database connectivity. Always verify that retrieved variant classifications align with current clinical guidelines, as genetic data interpretations can evolve rapidly.