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Artifacts Builder

Checked
bobmatnyc·vlatest·other·MIT

This tool generates diverse fantasy artifacts with detailed stats and descriptions, streamlining worldbuilding and campaign creation for tabletop RPGs.

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 bobmatnyc/claude-mpm-skills --skill artifacts-builder -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

bobmatnyc

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 bobmatnyc/claude-mpm-skills at 718070a7d6.

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

Scanned
2 files, 110 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

The artifacts-builder skill enables AI agents to generate and deliver structured output files directly within the chat interface. It supports creating various file formats like text, code, and data exports without requiring external downloads.

When to use it

  • You need a quick summary report or document generated instantly during a conversation.
  • You want code snippets, configuration files, or scripts delivered as downloadable artifacts.
  • You require structured data outputs such as CSVs or JSON for immediate processing.
  • You prefer keeping all project assets organized within the chat context rather than managing separate files.

Key capabilities

  • Generates multiple file formats including .txt, .md, .json, and code extensions.
  • Creates downloadable artifacts directly from AI responses.
  • Supports custom file naming conventions based on user requests.
  • Integrates seamlessly into Claude-based workflows via the MPM framework.

Example prompts

  • "Create a markdown summary of our meeting notes and save it as an artifact."
  • "Generate a Python script to automate my daily backup process and provide it as a downloadable file."
  • "Export the customer data we discussed as a CSV artifact with headers for name, email, and purchase date."

Tips & gotchas

Ensure your AI agent has permission to create artifacts before requesting file generation. Complex multi-step processes may require breaking down tasks into smaller artifact requests for better accuracy.