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Discover Zig

Checked
rand·vlatest·other·MIT

Discover Zig helps you explore and understand the Zig programming language, accelerating your learning and adoption of this modern compiler.

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-zig -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, 76 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

This skill enables AI agents to discover and install other skills within the registry. It acts as a meta-skill, allowing agents to dynamically expand their own capabilities by fetching and integrating new tools or functions on demand.

When to use it

  • An agent encounters a task outside its current knowledge base and needs to find a specialized tool to solve it.
  • A workflow requires dynamic adaptation where the agent must self-provision new utilities before executing a complex command.
  • You want an agent to browse available options in the registry and select the most appropriate skill for a specific user request.

Key capabilities

  • Searches the skills registry for available tools matching specific criteria or descriptions.
  • Retrieves metadata about potential skills, such as authors, categories, and install counts.
  • Executes the installation process to add new functionalities to the agent's active environment.

Example prompts

  • "Find a skill that can analyze financial spreadsheets and install it for me."
  • "I need to write Python code; discover and load a relevant coding assistant skill."
  • "Search for skills in the 'security' category and tell me which ones have the highest install count."

Tips & gotchas

Ensure the AI agent has permission to modify its own environment, as installing skills often requires elevated privileges. Be aware that newly installed skills may require specific configuration or context before they can be effectively utilized by the agent.