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Universal Learner

Checked
huangserva·vlatest·other

This "Universal Learner" skill rapidly teaches you new concepts by synthesizing information from various sources – boosting knowledge acquisition quickly.

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 huangserva/skill-prompt-generator --skill universal-learner -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

huangserva

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 huangserva/skill-prompt-generator at e951249840.

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

Commit
e951249840
Manifest
.codex/skills/universal-learner/SKILL.md
Scanned
10 files, 3,078 lines
Copies in repo
2 — 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 universal-learner skill acts as a prompt generator designed to help AI agents discover and install new capabilities. It streamlines the process of equipping an agent with specific tools or knowledge bases required for complex tasks.

When to use it

  • You need to equip an agent with a new library of functions without manually writing integration code.
  • Your agent requires access to external APIs, databases, or specialized software tools that are not currently installed.
  • You want to rapidly prototype an agent's ability to perform a specific domain task by injecting relevant skills.

Key capabilities

  • Generates precise prompts for discovering available skills within the registry.
  • Facilitates the installation of new modules directly through natural language instructions.
  • Bridges the gap between high-level task requirements and low-level technical implementations.

Example prompts

  • "Install the universal-learner skill so my agent can browse live market data."
  • "Use the prompt generator to find a skill that allows my agent to write and execute Python scripts."
  • "Generate a command to equip this agent with natural language processing tools for sentiment analysis."

Tips & gotchas

Ensure your AI agent has network access to the registry when requesting skill discovery, as it relies on external metadata. This tool is best used during the initial configuration phase rather than mid-task execution.