Tooluniverse Variant Analysis
CheckedAnalyzes tool variants within ToolUniverse to identify compatibility issues, performance differences, and potential improvements.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add mims-harvard/tooluniverse --skill tooluniverse-variant-analysis -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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
- Scanned
- 40 files, 17,974 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill enables AI agents to perform variant analysis within the ToolUniverse ecosystem, allowing for the discovery and installation of specific agent capabilities. It streamlines the process of equipping agents with new tools by managing versioned variations of skills directly from the registry.
When to use it
- You need to equip an AI agent with a specific tool variation that differs from the default configuration.
- You are updating an existing agent's toolkit to include a newer or more specialized version of a skill.
- You want to compare different implementations of a capability before selecting the best one for your workflow.
- Your project requires dynamic loading of tools based on runtime environment constraints or specific feature flags.
Key capabilities
- Variant Discovery: Identifies available versions and variations of skills within the ToolUniverse catalog.
- Skill Installation: Facilitates the direct installation of selected variants into an agent's operational context.
- Registry Integration: Connects seamlessly with the mims-harvard/tooluniverse repository to fetch metadata and dependencies.
Example prompts
- "Install the latest variant of the data processing skill from ToolUniverse for my current project."
- "Compare available variants of the image analysis tool and install the one optimized for low-resolution inputs."
- "Update my agent's toolkit by installing a specific version of the API connector found in the registry."
Tips & gotchas
Ensure your AI agent has write permissions to the target environment before attempting to install new skill variants, as this process modifies the agent's active toolset. Be mindful of dependency conflicts that may arise when installing multiple variants from different authors simultaneously.