Skip to content
TrustedSkillsbeta
Back to all skills

Skill Authoring

Checked
rytass·vlatest·agents·MIT

Skill Authoring empowers you to easily create and customize AI skills, streamlining development and tailoring them precisely to your needs.

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 rytass/utils --skill skill-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

rytass

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 rytass/utils at bef3c795ea.

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

Commit
bef3c795ea
Manifest
.claude/skills/skill-authoring/SKILL.md
Scanned
1 file, 308 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, rytass-skill-authoring, allows users to create and manage skills for AI agents. It provides tools for defining skill metadata, structuring code, and packaging skills into installable units. The goal is to simplify the process of building reusable components that enhance agent capabilities.

When to use it

  • Developing custom AI agent behaviors: Use this when you need to create specialized actions or workflows beyond what's available in standard agent libraries.
  • Sharing and distributing skills: Package your AI agent functionalities as installable skills for others to easily integrate into their agents.
  • Creating modular agent systems: Build a system where individual skills can be added, removed, or updated without affecting the core agent functionality.
  • Standardizing skill development: Enforce consistent structure and metadata across all skills within your AI ecosystem.

Key capabilities

  • Skill definition and metadata management
  • Code structuring for reusable components
  • Packaging skills into installable units
  • Facilitates sharing and distribution of skills

Example prompts

  • "Create a new skill called 'weather_report' that fetches weather data."
  • "Package my existing Python code as an AI agent skill."
  • "Generate the necessary metadata for this skill to be installable."

Tips & gotchas

This skill requires familiarity with basic programming concepts and potentially some knowledge of AI agent frameworks. The specific implementation details will depend on the underlying platform or environment where the skills are deployed.