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Createskill

Checked
zpankz·vlatest·ai-ml

Createskill generates custom GPT skills, streamlining workflows and adding specialized functionalities to your AI interactions for enhanced productivity.

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 zpankz/mcp-skillset --skill createskill -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

zpankz

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 zpankz/mcp-skillset at d9355d58c0.

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

Scanned
2 files, 70 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

The createskill skill allows AI agents to generate new skills based on user prompts. It can create entirely novel skill definitions, or modify existing ones according to specific instructions. This facilitates rapid prototyping and customization of agent capabilities without requiring manual coding.

When to use it

  • Rapid Skill Prototyping: Quickly test out ideas for new AI agent abilities before committing to full implementation.
  • Skill Modification: Easily adjust the behavior or parameters of existing skills based on evolving needs.
  • Customization & Specialization: Tailor skills to specific domains or tasks by generating variations of pre-existing templates.
  • Educational Tooling: Generate skill definitions for learning and experimentation purposes.

Key capabilities

  • Skill generation from prompts
  • Modification of existing skill definitions
  • Creation of novel skill types
  • Parameter adjustment within skills

Example prompts

  • "Create a new skill that summarizes news articles."
  • "Modify the 'translate' skill to support Spanish."
  • "Generate a skill for classifying customer feedback as positive, negative, or neutral."

Tips & gotchas

The quality of generated skills heavily depends on the clarity and specificity of the input prompts. Expect to iterate on prompts and potentially refine the outputted skill definitions manually.