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R3F Loaders

Checked
enzed·vlatest·other

R3F Loaders streamlines importing assets (textures, models, etc.) into Reality3D projects, saving time and simplifying workflows.

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 enzed/r3f-skills --skill r3f-loaders -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

enzed

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 enzed/r3f-skills at 4a11805f09.

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

Scanned
1 file, 67 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 r3f-loaders skill provides a way to load and manage 3D models within React Three Fiber (R3F) applications. It simplifies the process of importing various model formats like glTF, OBJ, and FBX directly into your R3F scene graph. This allows for dynamic loading of assets and efficient management of complex 3D environments.

When to use it

  • Loading 3D models: When you need to incorporate pre-existing or dynamically fetched 3D models into a React Three Fiber project.
  • Managing model formats: If your project utilizes multiple 3D model file types (glTF, OBJ, FBX).
  • Dynamic asset loading: To load different models based on user interaction or application state.

Key capabilities

  • Supports glTF (.glb, .gltf) format.
  • Supports OBJ (.obj) format.
  • Supports FBX (.fbx) format.
  • Integration with React Three Fiber (R3F).

Example prompts

  • "Load the model 'my_model.glb' into the scene."
  • "Import and display the 3D object from 'path/to/object.obj'."
  • "Load the FBX file 'character.fbx' and scale it by a factor of 0.5."

Tips & gotchas

  • Ensure you have React Three Fiber installed in your project before using this skill.
  • File paths for models should be accurate and accessible to the application.