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Discover Data

Checked
rand·vlatest·other·MIT

Identifies available data sources, formats, and potential insights within connected systems and documents.

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 rand/cc-polymath --skill discover-data -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

rand

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 rand/cc-polymath at baa2df1144.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 119 lines
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 discover-data skill allows AI agents to find and install other skills. It provides a mechanism for agents to dynamically expand their capabilities by discovering new tools and functionalities from a registry of available skills. This enables agents to adapt to changing needs and leverage specialized expertise without requiring manual updates or complex integrations.

When to use it

  • An agent needs access to a specific skill but doesn't have it installed.
  • You want an agent to automatically explore and incorporate new capabilities as they become available.
  • A system requires agents to dynamically adapt their toolset based on task requirements.
  • To enable an agent to learn about and utilize skills created by other developers or users.

Key capabilities

  • Skill discovery from a registry
  • Skill installation
  • Dynamic capability expansion for AI agents

Example prompts

  • "Find me a skill that can summarize text."
  • "Install the latest version of the 'image-generation' skill."
  • "What skills are available related to data analysis?"

Tips & gotchas

The agent must have sufficient permissions to install new skills. Ensure the registry being searched is trusted and contains verified skills to avoid introducing malicious code or unexpected behavior.