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Generate Barrels

Checked
haibaraaiaptx·vlatest·other·MIT

Creates realistic 3D barrel models of varying sizes, styles, and states (e.g., aged, damaged) for game assets or visualizations.

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 haibaraaiaptx/frontend-openapi-skills --skill generate-barrels -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

haibaraaiaptx

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 haibaraaiaptx/frontend-openapi-skills at 0d2927f8b0.

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

Scanned
1 file, 82 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, generate-barrels, allows AI agents to create barrel designs based on specified parameters. It can produce various barrel types and sizes suitable for different applications. The generated designs are intended for visualization or further refinement by human designers.

When to use it

  • Game development: Quickly generate a variety of barrel assets for props in a game environment.
  • Industrial design prototyping: Create initial barrel shapes for potential storage containers or other industrial uses.
  • Architectural visualization: Generate barrels as decorative elements within architectural renderings.
  • 3D modeling inspiration: Provide starting points for more detailed 3D models of barrels.

Key capabilities

  • Barrel generation based on parameters.
  • Support for various barrel types and sizes.
  • Output suitable for visualization or further refinement.

Example prompts

  • "Generate a wooden wine barrel, medium size."
  • "Create a steel barrel design optimized for pressure resistance."
  • "Show me some barrel designs for storing chemicals."

Tips & gotchas

The skill’s output is intended as a starting point and may require manual adjustments in a 3D modeling program to achieve desired levels of detail. Specific parameter ranges or constraints will likely influence the quality and suitability of the generated design.