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Tooluniverse Variant Interpretation

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

This skill interprets ToolUniverse variant instructions, ensuring accurate execution and minimizing errors for complex tasks.

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-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 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 pipe-to-shell installers: failed

    Runs code fetched at install time in 3 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • plugin/skills/tooluniverse-variant-interpretation/SKILL.md:159tells the user to run: pip install straight from a URL(in the instructions, not code)
      **Requires**: `ESM_API_KEY` env var (free non-commercial token at https://forge.evolutionaryscale.ai) and `pip install 'esm @ git+https://github.com/evolutiona…
    • plugins/tooluniverse/skills/tooluniverse-variant-interpretation/SKILL.md:159tells the user to run: pip install straight from a URL(in the instructions, not code)
      **Requires**: `ESM_API_KEY` env var (free non-commercial token at https://forge.evolutionaryscale.ai) and `pip install 'esm @ git+https://github.com/evolutiona…
    • skills/tooluniverse-variant-interpretation/SKILL.md:159tells the user to run: pip install straight from a URL(in the instructions, not code)
      **Requires**: `ESM_API_KEY` env var (free non-commercial token at https://forge.evolutionaryscale.ai) and `pip install 'esm @ git+https://github.com/evolutiona…

  • 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.

  • 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-variant-interpretation/SKILL.md
Scanned
18 files, 8,940 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

tooluniverse-variant-interpretation

What it does

This skill enables AI agents to interpret and process variant data, allowing for the analysis of different versions or configurations within a dataset. It facilitates the transformation of raw variant information into actionable insights by understanding structural differences between entries.

When to use it

  • Analyzing multiple versions of a product specification to identify key changes.
  • Processing genetic sequence variants to determine phenotypic impacts.
  • Comparing configuration files across different deployment environments.
  • Evaluating A/B test results where data points represent distinct user experience variants.

Key capabilities

  • Interprets complex variant structures and metadata.
  • Compares differences between variant entries.
  • Extracts specific attributes from heterogeneous variant datasets.
  • Formats output for downstream analysis or reporting.

Example prompts

  • "Interpret the following list of software build variants and summarize the unique features added in version 2.0."
  • "Analyze these genetic sequence variants to identify which ones are marked as pathogenic based on the provided annotations."
  • "Compare the configuration parameters across these three product variants and highlight any deprecated settings."

Tips & gotchas

Ensure your input data includes clear metadata or naming conventions for variants, as the skill relies on structural consistency to function correctly. Limit inputs to a single logical dataset to avoid confusion between unrelated variant types.