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Skill Create

Checked
parhumm·vlatest·agents

Generates custom AI agent skills based on user prompts, defining actions, tools, and knowledge for specialized tasks.

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 parhumm/jaan-to --skill skill-create -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

parhumm

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 parhumm/jaan-to at 3d44bff6a8.

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

Commit
3d44bff6a8
Manifest
skills/skill-create/SKILL.md
Scanned
3 files, 850 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

This skill, skill-create, allows AI agents to generate new skills. It can create entirely novel agent capabilities based on provided descriptions or examples. The generated skills are packaged and ready for installation within the TrustedSkills registry, enabling rapid expansion of an agent's functionality.

When to use it

  • Rapid prototyping: Quickly test out new skill ideas without manual coding.
  • Expanding agent capabilities: Generate specialized skills tailored to specific tasks or domains.
  • Automating skill development: Streamline the process of creating and deploying new agent functionalities.
  • Skill experimentation: Explore variations on existing skills to optimize performance or behavior.

Key capabilities

  • Generates new AI agent skills based on descriptions.
  • Packages generated skills for installation.
  • Creates novel agent capabilities.

Example prompts

  • "Create a skill that summarizes customer support tickets."
  • "Generate a skill to translate text between French and German, prioritizing accuracy over speed."
  • "Build a skill that can identify different types of plants from images."

Tips & gotchas

The quality of the generated skill heavily depends on the clarity and detail provided in the description. Consider providing example inputs and expected outputs for best results.