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Metaskill Authoring

Checked
gigaverse-app·vlatest·other·MIT

Metaskill Authoring helps you rapidly generate and refine complex content by chaining AI prompts for optimal output quality & efficiency.

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 gigaverse-app/skillet --skill metaskill-authoring -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

gigaverse-app

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 gigaverse-app/skillet at 6c7e8f8928.

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

Commit
6c7e8f8928
Manifest
metaskill/skills/metaskill-authoring/SKILL.md
Scanned
3 files, 514 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 allows you to author and manage custom skills, often referred to as "metaskills," for AI agents. It facilitates creating reusable components that encapsulate specific functionalities or workflows. This promotes modularity and simplifies the development of complex agent behaviors by allowing users to build upon existing capabilities.

When to use it

  • Creating reusable agent components: Develop a skill for summarizing documents, then reuse it in multiple different agent workflows.
  • Building custom AI agents: Author skills that combine various functionalities into a single, specialized agent.
  • Extending existing agent capabilities: Add new features or behaviors to an existing agent by creating and integrating custom metaskills.
  • Sharing skill templates: Package common tasks as reusable skills for other users or teams.

Key capabilities

  • Skill authoring
  • Skill management
  • Reusable component creation
  • Workflow modularity

Example prompts

  • "Create a new skill that translates English to French."
  • "Update the 'summarize_document' skill to include sentiment analysis."
  • "List all available skills in my agent workspace."

Tips & gotchas

This skill requires familiarity with AI agent architecture and development principles. Successfully using this skill depends on a good understanding of how individual components interact within an agent system.