Agent Native

simready-foundation-conform-fet-003-mujoco

This skill repairs MuJoCo physics conformance for 3D assets by applying the FET_003_MUJOCO specification.

by NVIDIAOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (NVIDIA, NVIDIA-NeMo)

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
License
Apache-2.0 (permissive)
Pin
60b8bddpinned Oct 9, 2026
Context cost
about 910 tokenswhen the skill loads
GitHub stars
95on nvidia/simready-foundation
Scripts
None found

What it does

“Use for repairing exact FET_003_MUJOCO SimReady conformance for MuJoCo rigid-body physics, including MjcCollisionAPI and MjcMeshCollisionAPI. Use when a profile, validation report, or user request names FET_003_MUJOCO; default to version `0.1.0` unless pinned otherwise.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill repairs MuJoCo physics conformance for 3D assets by applying the FET_003_MUJOCO specification. It adds or fixes MuJoCo collision API annotations and mesh collision settings on rigid-body physics primitives, ensuring compatibility with MuJoCo rigid-body simulations.

When to use it

  • Profile or validation report explicitly requires FET_003_MUJOCO conformance
  • Asset has rigid-body physics but lacks MuJoCo-specific collision annotations
  • Preparing physics assets for MuJoCo simulation environments
  • Repairing failed FET_003_MUJOCO validation checks

When not to

  • Asset needs PhysX or Newton physics engine support instead
  • Scenario-level MuJoCo scene configuration is the primary concern
  • Asset lacks basic rigid-body physics foundations

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add nvidia/simready-foundation --skill simready-foundation-conform-fet-003-mujoco

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install nvidia/simready-foundation simready-foundation-conform-fet-003-mujoco@60b8bddb086f43c8cc394f50635b4e65b0ec36fd

Installs the commit we checked (60b8bdd).

Copy by hand

Download the folder at 60b8bdd and put it in .claude/skills/simready-foundation-conform-fet-003-mujoco for Claude Code and in .agents/skills/simready-foundation-conform-fet-003-mujoco for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 60b8bdd

Claude Code plugin

/plugin install nvidia-skills@claude-plugins-official

The publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "simready-foundation-conform-fet-003-mujoco" by NVIDIA.

Source, pinned to commit 60b8bddb086f43c8cc394f50635b4e65b0ec36fd:
https://github.com/nvidia/simready-foundation/tree/60b8bddb086f43c8cc394f50635b4e65b0ec36fd/skills/simready-foundation-conform-fet-003-mujoco

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/simready-foundation-conform-fet-003-mujoco/ for Claude Code and .agents/skills/simready-foundation-conform-fet-003-mujoco/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/nvidia/simready-foundation-conform-fet-003-mujoco

SKILL.md at the pin

---
name: simready-foundation-conform-fet-003-mujoco
description: "Use for repairing exact FET_003_MUJOCO SimReady conformance for MuJoCo rigid-body physics, including MjcCollisionAPI and MjcMeshCollisionAPI. Use when a profile, validation report, or user request names FET_003_MUJOCO; default to version `0.1.0` unless pinned otherwise."
license: Apache-2.0
metadata:
  author: "Shaad Boochoon <sboochoon@nvidia.com>"
  tags:
    - simready
    - conformance
    - mujoco
---

# SimReady Conform FET_003_MUJOCO

## Purpose

Use this exact feature skill when the selected profile, validation report, or user request names `FET_003_MUJOCO`. It repairs or stages MuJoCo rigid-body and collider conformance without drifting into PhysX or Newton-only requirements. A `UsdPhysics.Scene` with `MjcSceneAPI` is a scenario-level concern and is not required for a single asset.

Default to `FET_003_MUJOCO@0.1.0` when no version is specified.

## Source of Truth

Before changing an asset or package, read:

- `nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_003_MUJOCO-0.1.0.json`
- `nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_003_MUJOCO.md`
- `nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_rigid_bodies/requirements/mujoco-collider-api.md`
- `nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_rigid_bodies/requirements/mujoco-mesh-collision-api.md`

## Feature Versions

| Version | Dependencies | Requirements |
|---|---|---|
| `0.1.0` | None | `RB.COL.001`, `RB.COL.002`, `RB.COL.003`, `RB.COL.004`, `RB.001`, `RB.003`, `RB.005`, `RB.007`, `RB.009`, `RB.010`, `MUJOCO.COL.001`, `MUJOCO.COL.002` |

## Feature Adapter

When the input already conforms to the neutral base feature, prefer the deterministic feature adapter to author the runtime-specific data first (via the `workspace upgrade` command; see `nv_core/sr_specs/docs/guides/feature_adapters/feature_adapters.md`), then repair only the residual requirements below.

| Adapter module | Adapter | Transition | Authors |
|---|---|---|---|
| `nv_core/cip_specs/asset_handler_modules/neutral_to_mujoco` | `rigid_body_neutral_to_prop_mujoco` | `FET_003_STANDARD@0.1.0` -> `FET_003_MUJOCO@0.1.0` | Mesh extents; `MjcCollisionAPI` (+`mjc:group`) and `MjcMeshCollisionAPI` with `physics:approximation = "convexHull"`, `mjc:inertia`, `mjc:maxhullvert` on existing colliders. Satisfies `MUJOCO.COL.001`/`MUJOCO.COL.002`. |

- The adapter runs on a staged output stage and never creates geometry; it only annotates existing colliders.
- If the base `RB.*` rigid-body data is missing, or `convexHull` is not the correct approximation for a given collider, repair that manually per the Workflow below.

## Workflow

1. Identify the exact selected feature/version from the profile TOML, validation report, or user request.
2. Load the selected manifest, feature markdown, and failing requirement docs before editing.
3. Create or use a staged output location unless the user explicitly asks for in-place edits.
4. Preserve standard `UsdPhysics` rigid-body, mass, and collider authoring.
5. Add or repair `MjcCollisionAPI` on active collision shapes.
6. Use `physics:approximation = "convexHull"` for MuJoCo mesh collision geoms.
7. Keep authored MuJoCo numeric, token, and array attributes valid.
8. Rerun the narrowest available validation gate and report any missing MuJoCo runtime evidence.

## Report Fields

| Field | Meaning |
|---|---|
| `feature` | Exact feature ID and version, for example `FET_003_MUJOCO@0.1.0`. |
| `input` | Source asset, package root, or package definition inspected. |
| `output` | Staged output path, or `in-place` only when explicitly requested. |
| `requirements_repaired` | Requirement IDs repaired in this pass. |
| `validation` | Command or inspection used to verify this exact feature. |
| `status` | `passed`, `failed`, `skipped`, or `blocked`. |
| `next_step` | The next exact feature skill or runtime evidence needed. |

From nvidia/simready-foundation at 60b8bdd, shown as plain text under its license: Apache-2.0 (permissive). The license text is in skills/simready-foundation-conform-fet-003-mujoco/SKILL.md.

View SKILL.md on GitHub at 60b8bdd

Files

3 files, 5.2 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 60b8bdd
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