Tooluniverse Sequence Retrieval

Name: Tooluniverse Sequence Retrieval
Author: mims-harvard

Checked

mims-harvard·vlatest·other·Apache-2.0

This skill retrieves sequences of actions from ToolUniverse to automate complex tasks and streamline workflows efficiently.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add mims-harvard/tooluniverse --skill tooluniverse-sequence-retrieval -a claude-code

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 28 Sept 2026

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-sequence-retrieval/SKILL.md
Scanned: 9 files, 1,023 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

What it does

The tooluniverse-sequence-retrieval skill enables AI agents to efficiently retrieve and process sequences of data, such as time-series or ordered lists. It is designed for scenarios where the order of elements matters, allowing precise extraction and manipulation of sequential information.

When to use it

Analyzing logs or event records in chronological order
Processing step-by-step instructions or workflows
Retrieving specific segments from a sequence based on position or pattern

Key capabilities

Accurate retrieval of ordered data sequences
Support for time-series and structured list processing
Efficient querying by index, range, or pattern matching

Example prompts

"Retrieve the third to fifth elements from this sequence."
"Find all instances where a specific value appears in order."
"Extract the most recent five entries from this log file."

Tips & gotchas

Ensure input data is properly formatted as a sequence for optimal performance.
Be mindful of memory constraints when working with very long sequences.