ovphysx-host-runtime-boundary

Executes native OVPhysX simulations and rendering via a Blender MCP bridge.

86|42|Updated May 6, 2026
One-click install
npx skills add https://github.com/NVIDIA/nemoclaw-community --skill ovphysx-host-runtime-boundary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ovphysx-host-runtime-boundary
Source: https://github.com/NVIDIA/nemoclaw-community/tree/main/examples/demos/field/blender-omniverse-dgx-station/skills/ovphysx-host-runtime-boundary
Command: npx skills add https://github.com/NVIDIA/nemoclaw-community --skill ovphysx-host-runtime-boundary

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of executing native NVIDIA OVPhysX simulations within a sandboxed agent environment by providing a secure, controlled bridge to the host-side Blender runtime.

Core Features & Use Cases

  • Host-Sandbox Bridging: Enables the Hermes agent to trigger native host-side simulation and rendering tasks without exposing the sandbox to the host filesystem.
  • Standardized Workflow: Provides a consistent interface for preflight checks, fixture preparation, simulation, and GIF receipt generation.
  • Use Case: A developer needs to run a complex physical simulation in Blender and receive a visual GIF receipt while keeping the agent logic isolated within an OpenShell sandbox.

Quick Start

Use the ovphysx-host-runtime-boundary skill to execute the configured demo by calling the blender execute code tool with the run_configured_demo action.

Frequently Asked Questions about ovphysx-host-runtime-boundary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run OVPhysX simulations from a sandboxed agent environment?

You can run OVPhysX simulations from a sandboxed agent by using a secure Blender MCP bridge to trigger native host-side execution, keeping the agent logic isolated from the host filesystem.

What is needed to run host-native robotics simulations via an agent bridge?

Running host-native robotics simulations requires an established host-side Blender environment with the ovphysx_host_helper.py utility installed and accessible via the Blender MCP interface.

How does the Blender MCP bridge handle physical AI simulation workflows?

The Blender MCP bridge handles physical AI workflows by providing a standardized interface for preflight checks, fixture preparation, authoritative pose sampling, simulation execution, and visual receipt generation.

Can I generate visual GIF receipts from Omniverse physics simulations?

Yes, you can generate visual GIF receipts from Omniverse physics simulations by executing the rendering tasks natively on the host machine through the configured Blender MCP bridge interface.

Does the OVPhysX host runtime boundary expose the host filesystem to the sandbox?

No, the OVPhysX host runtime boundary does not expose the host filesystem to the sandbox, as it provides a controlled bridge that isolates agent logic while executing native host-side tasks.

How do I start a configured demo simulation using the Blender execute code tool?

To start a configured demo simulation, call the Blender execute code tool with the run_configured_demo action to trigger the native OVPhysX simulation and rendering tasks on the host machine.