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Agent Skill Creator

Checked
ravnhq·vlatest·agents

Rapidly prototype custom agent skills using natural language prompts, streamlining development workflows via ravnhq's innovative tool.

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 ravnhq/ai-toolkit --skill agent-skill-creator -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

ravnhq

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 ravnhq/ai-toolkit at e6237ae66e.

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

Scanned
22 files, 2,592 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

The agent-skill-creator allows AI agents to generate new skills. It facilitates the creation of custom skills tailored to specific tasks or workflows, expanding an agent's capabilities beyond its initial programming. This can include defining skill names, descriptions, and associated functions.

When to use it

  • Expanding Agent Functionality: When you need your agent to perform a task that isn’t covered by existing skills.
  • Customizing Workflows: To create specialized skills for unique business processes or user needs.
  • Prototyping New Capabilities: Quickly experiment with and test new skill concepts before full implementation.
  • Automating Skill Development: Reduce manual effort in creating repetitive or similar skills.

Key capabilities

  • Skill generation
  • Custom skill definition (name, description)
  • Function association within a skill

Example prompts

  • "Create a new skill called 'summarize_article' that can summarize news articles."
  • "Generate a skill to extract key information from customer support tickets."
  • "I need a skill named 'translate_to_spanish' with the ability to translate text into Spanish."

Tips & gotchas

The agent needs sufficient context and understanding of desired functionality to generate effective skills. Ensure clear instructions are provided when requesting new skill creation.