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R3F Physics

Checked
enzed·vlatest·other

R3F Physics enables realistic physics simulations in your Godot game using the popular R3F library, boosting gameplay and immersion.

Repository

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-physics -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.

Commit
4a11805f09
Manifest
skills/r3f-physics/SKILL.md
Scanned
2 files, 142 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-physics skill enables AI agents to simulate and interact with physics within a 3D environment. It provides capabilities for collision detection, applying forces (like gravity or impulses), and simulating realistic movement of objects. This allows the agent to reason about physical interactions and plan actions accordingly.

When to use it

  • Simulating object interaction: When an agent needs to manipulate virtual objects in a 3D space, such as pushing boxes or stacking blocks.
  • Creating realistic environments: To generate believable physics-based animations for games or simulations.
  • Planning physical actions: When the agent must consider the impact of its actions on the environment, like calculating the force needed to launch an object a certain distance.
  • Predicting outcomes: To anticipate how objects will behave after being acted upon by forces.

Key capabilities

  • Collision detection
  • Force application (gravity, impulses)
  • Physics simulation
  • 3D environment interaction

Example prompts

  • "Simulate a ball rolling down a ramp and tell me where it will land."
  • "Apply a force to this box to move it across the room. How much force is needed?"
  • “Detect if these two objects are colliding.”

Tips & gotchas

The skill requires a 3D environment setup for physics calculations to be performed. Ensure your agent has access to and understands the spatial context of the scene before requesting physics-related actions.