Generated banner for Omniverse Cad To Simready
Generated logo for Omniverse Cad To Simready

Omniverse Cad To Simready

OpenAIOfficialCreated by OmniverseDistributed by OpenAI

  • Skill
  • Workflow
  • Software development
  • Apache-2.0
  • Medium risk
  • Has scripts

From the author

Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references.
— the description by Omniverse

From the skill’s files

Taken from the skill’s own files (its description, section headings and stated usage). Not an AutoGineer summary, and not written by the author as one.

Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references. Use this workflow skill when the user wants an end-to-end pipeline from a source asset to a SimReady asset or package. This skill coordinates existing conversion, authoring, validation, conformance, rendering, and packaging references directly. Do not replace the workflow with a single monolithic runner command.

What it does

  • When to Use
  • Prerequisites
  • Minimum Viable Scope
  • First Action
  • Instructions
  • Output Format

When to use it

  • Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and…
  • Use this workflow skill when the user wants an end-to-end pipeline from a source asset to a SimReady asset or package.
  • This skill coordinates existing conversion, authoring, validation, conformance, rendering, and packaging references directly.
  • This skill is documentation-driven and does not ship scripts/run.py.
  • It should not depend on a repository checkout.
  • When a stage needs deterministic execution, run the portable script from that stage reference's installed directory.

Advantages

The skill’s files do not state this.

Usage examples

The skill’s files do not state this.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/openai/omniverse-cad-to-simready/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip omniverse-cad-to-simready.zip -d .agents/skills

Documentation by Omniverse

CAD to SimReady

When to Use

Use this workflow skill when the user wants an end-to-end pipeline from a source asset to a SimReady asset or package. This skill coordinates existing conversion, authoring, validation, conformance, rendering, and packaging references directly. Do not replace the workflow with a single monolithic runner command.

This skill is documentation-driven and does not ship scripts/run.py. It should not depend on a repository checkout. When a stage needs deterministic execution, run the portable script from that stage reference's installed directory. Shell is declared because this workflow invokes installed stage reference scripts directly; it still must not grow a monolithic runner.

Prerequisites

  • Prefer running the preflight reference first for deterministic setup. It installs or verifies local upstream checkouts, writes a cad-to-simready-preflight.json manifest, and exports PHYSICAL_AI_PREFLIGHT_MANIFEST plus PHYSICAL_AI_REQUIRE_PREFLIGHT=1 for downstream references.

  • Python 3.12 and uv (per repo README.md).

  • NVIDIA_API_KEY from https://build.nvidia.com when local Content Agents deployment will run. Already-running endpoints may instead use explicit endpoint variables plus usage tokens such as NGC_API_KEY, NVCF_API_KEY, or CONTENT_AGENTS_*_TOKEN.

  • Docker, NVIDIA Container Toolkit, and an NVIDIA GPU for Content Agents and OVRTX stages.

  • Local upstream checkouts under ${PHYSICAL_AI_SKILL_HUB_UPSTREAM_ROOT:-$HOME/.physical-ai-skill-hub/upstreams} when a downstream stage needs upstream scripts or specs.

Minimum Viable Scope

Conversion-only is a valid workflow request. When the user asks only to convert or smoke-test source asset conversion, set property_assignment_intent=skip, do not deploy Content Agents, run convert-to-usd, then run validate-usd-minimum on the generated USD if conversion succeeds.

Do not imply that uv sync installs every source converter runtime. URDF, MuJoCo/MJCF, and the repo Python dependencies are handled by the project environment, but NVIDIA-backed source conversion requires an installed and validated NVIDIA-Omniverse/usd-convert-cad checkout. If that runtime is missing or does not support the source, preserve the blocked conversion report and its install_hint instead of attempting an unrequested local build or substituting another converter.

First Action

For any broad CAD/source-asset to SimReady request, assume property_assignment_intent=run unless the user explicitly asks for conversion-only, validation-only, or no material/physics assignment.

Before invoking converter, validation, Content Agents, OVRTX, packaging, or FET helper scripts, run the preflight reference or verify an existing PHYSICAL_AI_PREFLIGHT_MANIFEST. Treat preflight as the mandatory dependency bootstrap step, not as workflow routing. If the user explicitly asks not to deploy services or asks for conversion-only/validation-only, use --skip-content-agents. When PHYSICAL_AI_REQUIRE_PREFLIGHT=1 is set and a required component is not ready in the manifest, downstream references must block with the preflight guardrail instead of rediscovering upstreams or services directly.

When property_assignment_intent=run, the first operational action after confirming the source path and resolving intent is to verify or deploy Content Agents services. Do this before asset-context inspection, converter dependency checks, conversion, validation, conformance, rendering, packaging, or upstream source builds.

Use healthy existing endpoints when available. If OVRTX, Material, or Physics endpoints are missing or unhealthy, run deploy-content-agents first and do not continue until the shared standalone OVRTX renderer plus independent Material and Physics service containers are healthy and exported through CONTENT_AGENTS_*_BASE_URL. Deploy the Texture Agent too when texture generation is requested.

If required deployment authentication is missing, ask the user for NVIDIA_API_KEY and wait. If a provided endpoint requires usage auth, ask for the appropriate usage token instead. If deployment cannot produce healthy services, report Content Agents readiness as blocked instead of proceeding to conversion.

Instructions

  1. Confirm the source asset path exists, resolve output_root, and classify the request as end-to-end, conversion-only, validation-only, or packaging.

  2. Resolve property_assignment_intent before running any asset inspection, converter probe, conversion, validation, conformance, rendering, or packaging step.

  3. Run preflight for the selected workflow targets, unless a ready PHYSICAL_AI_PREFLIGHT_MANIFEST is already configured. Source the generated env file before running downstream scripts. Treat preflight as dependency setup only: it may use a provided --source-asset, --source-format, or --conversion-tools value to scope dependency checks, but convert-to-usd and the upstream converter references still decide actual conversion support.

  4. Verify or deploy Content Agents services first when property_assignment_intent=run; block on missing authentication or unhealthy services instead of continuing.

  5. Read references/workflow.md and references/commands.md, then run only the stage references needed for the current request.

  6. Run identify-asset-context on the original source asset when web search is available or property assignment will run.

  7. Route the source through convert-to-usd, or skip conversion for existing USD input and treat the source path as the current USD path.

  8. Run validate-usd-minimum before expensive downstream work. Treat this as a viability gate only: record unit/profile issues such as metersPerUnit != 1.0, but do not run simready-conform-profile, FET001, or any other FET repair before Content Agents assignment when property assignment will run.

  9. Run Content Agents material, physics, and optional texture assignment on the converted/minimum-valid USD when requested or required.

  10. Run simready-conform-profile on the latest simulation USD path after property assignment and preserve every selected FET repair report.

  11. Run validation gates in order: omni-asset-validate, omni-asset-validate-geometry, omni-asset-validate-physics, and simready-validate.

  12. Rerun simready-conform-profile when simready-validate reports a repairable requirement, then rerun profile validation on the newest authored USD.

  13. Run ovrtx-render-service when preview, thumbnail, or inspection images are requested. When package outputs are requested, run assemble-package-source next to create the clean deliverable/ package source from the final USD and thumbnail, then run nv-core-package-sample and nv-core-package-sample-validation on that deliverable folder only.

  14. Emit the consolidated workflow report with the final USD path, all stage reports, validation findings, rerun reasons, and next work.

Use the simready-conform-profile reference only after property assignment when property_assignment_intent=run. It routes feature repair to upstream SimReady Foundation FET skills such as simready-foundation-conform-fet-000-core, simready-foundation-conform-fet-001-minimal, simready-foundation-conform-fet-004-simulate-multi-body-physics, and simready-foundation-conform-fet-005-simulate-grasp-physics from branch main.

If simready-validate reports a repairable requirement after the first conformance pass, feed the structured requirement IDs back into the simready-conform-profile reference before writing the final result. In particular, GSP.001 is owned by upstream simready-foundation-conform-fet-005-simulate-grasp-physics; run that skill when a vision-capable agent can inspect visual evidence or explicit grasp points were provided, otherwise record the FET005 step as blocked by missing vision/points instead of treating it as an optional preview task. For RB.MB.001, route the failure to upstream simready-foundation-conform-fet-004-simulate-multi-body-physics. Do not assume multiple visual prims are multiple rigid bodies; inspect UsdPhysics.RigidBodyAPI applications. When the Physics Agent report shows composed topology optimization or the USD has existing component colliders/part roots and the profile validator reports FET004/RB.MB.001, FET004 should promote those existing components into rigid bodies without creating geometry. Do not mark the gate not applicable until after confirming there are fewer than two reusable body candidates.

Output Format

Emit a consolidated workflow report in Markdown, and include JSON when the workflow writes structured artifacts. The report must include:

  • Overall status: passed, blocked, failed, or needs_rerun.

  • Request summary: source asset path, detected source format, output root, selected SimReady profile/version, and property assignment intent.

  • Ordered stage results: stage reference, input artifact, output USD or USDZ path, report path, status, blocker reason, and rerun reason when applicable.

  • Content Agents readiness and property assignment results with service URLs, tokens, and credentials redacted.

  • Conformance and validation findings grouped by gate, requirement ID, selected FET repair reference, repair-loop attempt, and final disposition.

  • Final artifacts: final reported USD path, render preview path when requested, package root and package validation report when packaging ran, Markdown report path, JSON report path when present, and recommended next work.

Detailed References

Read only the references needed for the current request:

  • references/preflight/README.md: deterministic local setup, manifest/env contract, Linux and Windows wrappers, Content Agents deployment opt-out, and guardrail behavior.

  • references/workflow.md: inputs, source routing, detailed workflow, validation policy, output report fields, approval points, and next steps.

  • references/commands.md: concrete portable script command patterns for each stage.

  • references/assemble-package-source/README.md: two-zone package source assembly, canonical root USD naming, thumbnail placement, and self-contained deliverable checks.

Publishing Layout Notes

Use skills/omniverse-cad-to-simready/ as the source of truth for this product repo's skill. The .agents/skills symlink is a compatibility alias for local agentskills.io-style discovery, and .codex/skills and .claude/skills are agent-specific compatibility aliases.

Frontmatter keeps version and tools at top level for agentskills.io runtime compatibility. NVCARPS discoverability fields live under metadata.

The nested references/ tree is intentional. It keeps one public catalog skill while retaining script-bearing atomic stage references, upstream handoff notes, and router documentation under the workflow. Do not flatten those references or promote nested README references to sibling SKILL.md files unless the repo's publishing model changes.

Limitations

  • This workflow coordinates existing conversion, property assignment, conformance, validation, rendering, and packaging skills; it does not replace them with a single monolithic runner command.

  • Stop at the first failing deployment, conversion, property-assignment, or conformance authoring gate unless the user explicitly asks for best-effort continuation.

  • Upstream simready-foundation-conform-fet-005-simulate-grasp-physics needs visual review or explicit grasp points before it can author a meaningful grasp vector.

Troubleshooting

SymptomCauseFix
Downstream reference reports that cad-to-simready preflight has not prepared a componentPHYSICAL_AI_REQUIRE_PREFLIGHT=1 is set, but the manifest is missing or the required runtime/service is not readyRun preflight/scripts/preflight.py, source the generated env file, or explicitly disable service deployment with --skip-content-agents only when Content Agents are out of scope.
Workflow stops on GSP.001 and reports the failure as unclassifiedVisual evidence or explicit grasp points were not provided to FET005Run upstream simready-foundation-conform-fet-005-simulate-grasp-physics only after a vision-capable agent has reviewed the asset, or pass explicit grasp points. Otherwise report the FET005 step as blocked, not failed.
Validation fails after a meaningful USD artifact already existsWorkflow stopped at the first validation findingContinue remaining diagnostic gates and mark the result needs_rerun. Do not stop at validation findings once a USD artifact has been produced.
Property-assignment stage fails with a missing service endpointContent Agents service was not deployed before conversionRun deploy-content-agents first. Do not start asset inspection, conversion, validation, conformance, rendering, or packaging before Content Agents readiness when property assignment will run.
Material Agent reports that rendering produced 0 images after unit or profile repairA FET repair, commonly FET001 unit normalization, was applied before Material Agent and changed the USD layering/scene state consumed by the serviceRerun assignment from the converted/minimum-valid USD: Material Agent first, then Physics Agent, then run simready-conform-profile and FET repairs on the latest service-authored USD.
Material or Physics Agent local optimized path reports Permission denied: '/app/.build-resources/scene_optimizer_core/python'Local Docker Scene Optimizer bundle permissions prevent the non-root service user from reading the packaged SO runtimeRepair the relevant local container with docker exec --user root content-material-agent-service chmod -R a+rX /app/.build-resources/scene_optimizer_core or docker exec --user root content-physics-agent-service chmod -R a+rX /app/.build-resources/scene_optimizer_core, then rerun the same optimized agent command. Do not treat the no-optimizer fallback as the root cause for instanced/prototype assets.
RB.MB.001 fails even though the asset has many primsThe profile counts UsdPhysics.RigidBodyAPI prims, not visual or collider prims; Physics Agent may author one root rigid bodyRoute to upstream simready-foundation-conform-fet-004-simulate-multi-body-physics. First ensure Physics Agent used composed-topology optimization when applicable, then promote existing component colliders/part roots when the active profile reports FET004/RB.MB.001 and no geometry must be invented.

Hard Rules

  • Prefer the preflight manifest for local upstream roots, converter executables, SimReady validation runtime, OVRTX endpoint, and Content Agents service URLs. When PHYSICAL_AI_REQUIRE_PREFLIGHT=1 is set, do not bypass the manifest with direct upstream discovery.

  • Do not run asset inspection, converter probes, local upstream builds, conversion, validation, conformance, rendering, or packaging before Content Agents readiness when property assignment will run.

  • Use stage-specific installed reference scripts directly. Do not add or call a single omniverse-cad-to-simready runner command.

  • For source conversion, delegate to the convert-to-usd reference; do not substitute another converter for CAD or mesh formats.

  • For property assignment, use Content Agents references as separate atomic steps: material first, then physics, then texture only when requested.

  • When property assignment will run, do not run simready-conform-profile or any FET helper before Content Agents. Validate minimum USD first, then run Content Agents on that converted/minimum-valid USD, then apply FET repairs to the latest service-authored USD.

  • When property assignment will run, do not run simready-validate or any SimReady profile validation before Content Agents. The only validation gate allowed before service calls is validate-usd-minimum, which is a basic USD viability check.

  • Stop at the first failing deployment, conversion, property-assignment, or conformance authoring gate unless the user explicitly asks for best-effort continuation.

  • Do not stop at validation findings after a meaningful USD artifact exists. Continue remaining diagnostic gates and mark the result needs_rerun.

  • Do not leave a GSP.001 profile failure as an unclassified final finding. Route it to upstream simready-foundation-conform-fet-005-simulate-grasp-physics; if the current agent cannot inspect renders or no explicit grasp points are available, report a blocked FET005 repair with the visual evidence path or missing input reason.

  • Preserve every stage report and pass the concrete output USD path from each report into the next stage.

Files

shared/simready_package.py

#!/usr/bin/env python3
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

from __future__ import annotations

import argparse
from datetime import datetime, timezone
import hashlib
import json
import os
from pathlib import Path, PurePosixPath
import re
import subprocess
import sys
from typing import Any

from script_utils import check_result_with_code as _check, emit_json_report


PACKAGING_DEFINITION_FILENAME = "com.nvidia.simready.packaging.json"
METADATA_FOLDER = ".metadata"
BOM_FILENAME = "com.nvidia.simready.packaging.bom.json"
ROOT_USDS_FILENAME = "com.nvidia.simready.root_usds.json"
STANDARD_FORMAT_VERSION = "1.0"
SIMREADY_PROFILE_VERSION = "1.0.0"
PACKAGE_ID_PREFIX = "com.nvidia.simready"
PACKAGE_ROOT_USD_SUFFIXES = {".usd", ".usda", ".usdc"}
SUPPORTED_REFERENCED_SUFFIXES = {".usd", ".usda", ".usdc", ".usdz", ".png", ".jpg", ".jpeg", ".exr", ".m4a", ".mp3", ".wav"}
SUPPORTED_PACKAGE_SIDECAR_SUFFIXES = {".json", ".md", ".txt"}
PROFILE_CHOICES = ("Package", "Package-NoBOM")


def _skill_name() -> str:
    return Path(sys.argv[0]).resolve().parents[1].name


def _phase(name: str, checks: list[dict[str, Any]], success_message: str, fail_message: str) -> dict[str, Any]:
    passed = not _errors_from_checks(checks)
    return {
        "name": name,
        "passed": passed,
        "status": "PASS" if passed else "FAIL",
        "message": success_message if passed else fail_message,
        "checks": checks,
    }


def _errors_from_checks(checks: list[dict[str, Any]]) -> list[str]:
    return [check["message"] for check in checks if check["severity"] == "error" and not check["passed"]]


def _warnings_from_checks(checks: list[dict[str, Any]]) -> list[str]:
    return [check["message"] for check in checks if check["severity"] == "warning" and not check["passed"]]


def _read_json(path: Path) -> Any:
    return json.loads(path.read_text(encoding="utf-8"))


def _write_json(path: Path, payload: dict[str, Any]) -> None:
    path.parent.mkdir(parents=True, exist_ok=True)
    path.write_text(json.dumps(payload, indent=2, sort_keys=True) + "\n", encoding="utf-8")


def _hash_bytes(data: bytes) -> dict[str, str]:
    return {"sha256": hashlib.sha256(data).hexdigest()}


def _hash_file(path: Path) -> dict[str, str]:
    return _hash_bytes(path.read_bytes())


def _content_files(package_root: Path) -> list[Path]:
    files: list[Path] = []
    for path in package_root.rglob("*"):
        if not path.is_file():
            continue
        rel = path.relative_to(package_root).as_posix()
        if rel == PACKAGING_DEFINITION_FILENAME:
            continue
        if rel == METADATA_FOLDER or rel.startswith(f"{METADATA_FOLDER}/"):
            continue
        if rel.endswith(".wrapp"):
            continue
        files.append(path)
    return sorted(files, key=lambda value: value.relative_to(package_root).as_posix())


def _build_bom(package_root: Path) -> dict[str, Any]:
    items = []
    for path in _content_files(package_root):
        items.append(
            {
                "relative_path": path.relative_to(package_root).as_posix(),
                "size": path.stat().st_size,
                "hash": _hash_file(path),
            }
        )
    return {
        "format_version": STANDARD_FORMAT_VERSION,
        "content_root": str(package_root),
        "items": items,
    }


def _compute_content_hash(items: list[dict[str, Any]]) -> dict[str, str] | None:
    buffer = bytearray()
    for item in sorted(items, key=lambda value: str(value["relative_path"]).encode("utf-8")):
        sha256 = item.get("hash", {}).get("sha256")
        if not sha256:
            return None
        buffer.extend(str(item["relative_path"]).encode("utf-8"))
        buffer.append(0)
        buffer.extend(bytes.fromhex(sha256))
    return _hash_bytes(bytes(buffer))


def _compute_package_hash(
    package_id: str,
    license_id: str,
    content_hash: dict[str, str],
    metadata_entries: list[dict[str, Any]],
) -> dict[str, str]:
    buffer = bytearray()
    buffer.extend(package_id.encode("utf-8"))
    buffer.append(0)
    buffer.extend(license_id.encode("utf-8"))
    buffer.append(0)
    buffer.extend(bytes.fromhex(content_hash["sha256"]))
    for entry in sorted(metadata_entries, key=lambda value: str(value["name"]).encode("utf-8")):
        buffer.extend(str(entry["name"]).encode("utf-8"))
        buffer.append(0)
        buffer.extend(bytes.fromhex(entry["hash"]["sha256"]))
    return _hash_bytes(bytes(buffer))


def _is_valid_posix_relative_path(value: str) -> bool:
    pure = PurePosixPath(value)
    if "\\" in value or pure.is_absolute():
        return False
    if not value or value.startswith("../") or value == ".." or "/../" in value:
        return False
    return True


def _open_usd(path: Path) -> bool:
    try:
        from pxr import Usd
    except Exception:
        return False
    try:
        return Usd.Stage.Open(str(path)) is not None
    except Exception:
        return False


def _validate_root_usds(package_root: Path, root_usds: list[str] | None) -> tuple[list[dict[str, Any]], list[str]]:
    checks: list[dict[str, Any]] = []
    entries = sorted(root_usds or [])
    checks.append(
        _check(
            "root_usds_declared",
            bool(entries),
            "Root USD entries are declared" if entries else "No root USD entries were declared",
            code="PKG.CONF.002",
        )
    )
    valid_entries: list[str] = []
    seen: set[str] = set()
    for entry in entries:
        duplicate = entry in seen
        seen.add(entry)
        checks.append(_check(f"root_usd_unique:{entry}", not duplicate, f"Root USD entry is unique: {entry}" if not duplicate else f"Duplicate root USD entry: {entry}", code="PKG.CONF.002"))
        rel_ok = _is_valid_posix_relative_path(entry)
        checks.append(_check(f"root_usd_relative:{entry}", rel_ok, f"Root USD entry is relative: {entry}" if rel_ok else f"Root USD entry must be a forward-slash relative package path: {entry}", code="PKG.CONF.002"))
        suffix_ok = Path(entry).suffix.lower() in PACKAGE_ROOT_USD_SUFFIXES
        checks.append(_check(f"root_usd_suffix:{entry}", suffix_ok, f"Root USD entry has supported suffix: {entry}" if suffix_ok else f"Root USD entry must end with .usd, .usda, or .usdc: {entry}", code="PKG.CONF.002"))
        if not rel_ok:
            continue
        path = package_root / PurePosixPath(entry)
        exists = path.is_file()
        checks.append(_check(f"root_usd_exists:{entry}", exists, f"Root USD exists: {entry}" if exists else f"Root USD does not exist: {entry}", code="PKG.CONF.002"))
        if exists:
            opens = _open_usd(path)
            checks.append(_check(f"root_usd_opens:{entry}", opens, f"Root USD opens: {entry}" if opens else f"Root USD cannot be opened: {entry}", code="PKG.CONF.002"))
            if opens:
                valid_entries.append(entry)
    return checks, valid_entries


def _validate_sidecar_types(package_root: Path) -> list[dict[str, Any]]:
    unsupported: list[str] = []
    for path in _content_files(package_root):
        suffix = path.suffix.lower()
        if suffix in SUPPORTED_REFERENCED_SUFFIXES or suffix in SUPPORTED_PACKAGE_SIDECAR_SUFFIXES:
            continue
        unsupported.append(path.relative_to(package_root).as_posix())
    return [
        _check(
            "package_content_file_types",
            not unsupported,
            "Package content file types are supported"
            if not unsupported
            else f"Package contains files outside the MVP supported type set: {unsupported}",
            severity="warning",
            code="AA.002",
        )
    ]


def validate_package_source(package_root: Path, root_usds: list[str] | None) -> dict[str, Any]:
    package_root = package_root.resolve()
    checks = [
        _check(
            "source_is_directory",
            package_root.is_dir(),
            "Source package root exists" if package_root.is_dir() else "Source package root does not exist or is not a directory",
        )
    ]
    if package_root.is_dir():
        root_checks, _ = _validate_root_usds(package_root, root_usds)
        checks.extend(root_checks)
        checks.extend(_validate_sidecar_types(package_root))
    return _phase("pre-validation", checks, "Source passed package candidate checks", "Source failed package candidate checks")


def _write_root_usds_metadata(package_root: Path, root_usds: list[str]) -> Path:
    path = package_root / METADATA_FOLDER / ROOT_USDS_FILENAME
    _write_json(path, {"format_version": STANDARD_FORMAT_VERSION, "entries": sorted(root_usds)})
    return path


def _write_bom_metadata(package_root: Path, bom: dict[str, Any]) -> Path:
    path = package_root / METADATA_FOLDER / BOM_FILENAME
    _write_json(path, bom)
    return path


def _write_conformance_metadata(
    package_root: Path,
    root_usds: list[str],
    pre_checks: list[dict[str, Any]],
    content_hash: dict[str, str] | None,
) -> Path:
    path = package_root / METADATA_FOLDER / f"com.nvidia.simready.conformance.Package-Candidate@{SIMREADY_PROFILE_VERSION}.json"
    payload: dict[str, Any] = {
        "format_version": STANDARD_FORMAT_VERSION,
        "profile": "Package-Candidate",
        "profile_version": SIMREADY_PROFILE_VERSION,
        "timestamp": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
        "validator": "nv-core-package-sample/scripts/run.py",
        "assets": [
            {
                "asset": entry,
                "features": [
                    {
                        "portable_simready_package_preflight": {
                            "version": "0.1.0",
                            "passed": not _errors_from_checks(pre_checks),
                            "failing_requirements": sorted({check["code"] for check in pre_checks if check["code"] and not check["passed"]}),
                            "dependencies": [],
                        }
                    }
                ],
            }
            for entry in root_usds
        ],
    }
    if content_hash is not None:
        payload["content_hash"] = content_hash
    _write_json(path, payload)
    return path


def _metadata_entry(path: Path) -> dict[str, Any]:
    return {"name": path.name, "hash": _hash_file(path)}


def _write_package_definition(
    package_root: Path,
    name: str,
    version: str,
    license_id: str,
    metadata_files: list[Path],
    content_hash: dict[str, str] | None,
    overwrite: bool,
) -> Path:
    path = package_root / PACKAGING_DEFINITION_FILENAME
    if path.exists() and not overwrite:
        raise FileExistsError(f"Package definition already exists at {path}; pass --overwrite to replace it")
    metadata_entries = [_metadata_entry(path) for path in sorted(metadata_files, key=lambda value: value.name)]
    package_id = f"{PACKAGE_ID_PREFIX}.{name}.{version}"
    payload: dict[str, Any] = {
        "format_version": STANDARD_FORMAT_VERSION,
        "package_id": package_id,
        "license": license_id,
        "metadata": metadata_entries,
    }
    if content_hash is not None:
        payload["content_hash"] = content_hash
        payload["package_hash"] = _compute_package_hash(package_id, license_id, content_hash, metadata_entries)
    _write_json(path, payload)
    return path


def _base_report(package_root: Path, skill: str, operation: str, backend: str, profile: str) -> dict[str, Any]:
    return {
        "package_root": str(package_root.resolve()),
        "package_definition_path": None,
        "skill": skill,
        "tool": "portable SimReady package script",
        "operation": operation,
        "backend": backend,
        "profile": profile,
        "passed": False,
        "status": "FAIL",
        "checks": [],
        "phases": [],
        "metadata": {},
        "warnings": [],
        "errors": [],
        "command": [],
        "next_step": "report-validation-result",
    }


def _finalize(report: dict[str, Any]) -> dict[str, Any]:
    checks = list(report.get("checks", []))
    for phase in report.get("phases", []):
        checks.extend(phase.get("checks", []))
    errors = list(dict.fromkeys(report.get("errors", []) + _errors_from_checks(checks)))
    warnings = list(dict.fromkeys(report.get("warnings", []) + _warnings_from_checks(checks)))
    report["errors"] = errors
    report["warnings"] = warnings
    report["passed"] = not errors
    report["status"] = "PASS" if not errors else report.get("status", "FAIL")
    if errors and report["status"] == "PASS":
        report["status"] = "FAIL"
    return report


def _run_wrapp_sample(args: argparse.Namespace) -> dict[str, Any]:
    source = args.source.resolve()
    report = _base_report(source, "nv-core-package-sample", "package", "wrapp", "Package")
    sample_dir = args.upstream_sample_dir.resolve() if args.upstream_sample_dir else None
    checks = [
        _check(
            "upstream_sample_dir_provided",
            sample_dir is not None,
            "WRAPP upstream package script directory provided"
            if sample_dir is not None
            else (
                "WRAPP backend requires --upstream-scripts-dir pointing at "
                "skills/simready-foundation-create-package/assets/scripts"
            ),
        )
    ]
    script = sample_dir / "create_simready_package.py" if sample_dir is not None else None
    checks.append(
        _check(
            "upstream_sample_script_exists",
            script is not None and script.is_file(),
            f"Found upstream package sample script: {script}" if script is not None and script.is_file() else "Upstream create_simready_package.py was not found",
        )
    )
    checks.append(_check("wrapp_repo_provided", args.repo is not None, "WRAPP repository path provided" if args.repo else "WRAPP backend requires --repo"))
    checks.append(_check("root_usds_provided", bool(args.root_usd), "Root USD entries provided" if args.root_usd else "WRAPP backend requires at least one --root-usd entry", code="PKG.CONF.002"))
    report["checks"] = checks
    if _errors_from_checks(checks):
        report["status"] = "BLOCKED"
        report["next_step"] = "provide-wrapp-package-inputs"
        return _finalize(report)

    command = [
        sys.executable,
        str(script),
        args.name,
        args.version,
        args.license_id,
        str(source),
        str(args.repo.resolve()),
    ]
    for root_usd in args.root_usd:
        command.extend(["--root-usd", root_usd])
    report["command"] = command
    env = os.environ.copy()
    if sample_dir.parts[-4:] == ("skills", "simready-foundation-create-package", "assets", "scripts"):
        env.setdefault("SIMREADY_FOUNDATIONS_ROOT", str(sample_dir.parents[3]))
    completed = subprocess.run(
        command,
        cwd=sample_dir,
        env=env,
        capture_output=True,
        text=True,
        timeout=600,
        check=False,
    )
    report["metadata"] = {"stdout": completed.stdout, "stderr": completed.stderr, "returncode": completed.returncode}
    report["checks"].append(_check("upstream_sample_completed", completed.returncode == 0, "Upstream package sample completed" if completed.returncode == 0 else "Upstream package sample failed"))
    report["next_step"] = "nv-core-package-sample-validation" if completed.returncode == 0 else "fix-package-workflow-inputs"
    return _finalize(report)


def create_package(args: argparse.Namespace) -> dict[str, Any]:
    if args.backend == "wrapp":
        return _run_wrapp_sample(args)

    source = args.source.resolve()
    report = _base_report(source, "nv-core-package-sample", "package", "local", "Package")
    report["command"] = [str(Path(__file__).name), str(source), "--name", args.name, "--version", args.version, "--license", args.license_id]

    pre_phase = validate_package_source(source, args.root_usd)
    if not args.skip_pre_validation:
        report["phases"].append(pre_phase)
        if not pre_phase["passed"]:
            report["next_step"] = "fix-package-candidate"
            return _finalize(report)

    try:
        normalized_roots = sorted(args.root_usd)
        root_metadata = _write_root_usds_metadata(source, normalized_roots)
        bom = _build_bom(source)
        content_hash = _compute_content_hash(bom["items"])
        bom_path = _write_bom_metadata(source, bom)
        conformance_path = _write_conformance_metadata(source, normalized_roots, pre_phase["checks"], content_hash)
        metadata_files = [root_metadata, bom_path, conformance_path]
        package_definition = _write_package_definition(
            source,
            args.name,
            args.version,
            args.license_id,
            metadata_files,
            content_hash,
            args.overwrite,
        )
    except Exception as exc:
        create_checks = [_check("package_definition_written", False, f"Package creation failed: {exc}")]
        report["phases"].append(_phase("create", create_checks, "Package definition and metadata were written", str(exc)))
        report["next_step"] = "fix-package-create-inputs"
        return _finalize(report)

    create_checks = [
        _check("package_definition_written", package_definition.is_file(), f"Wrote package definition: {package_definition}"),
        _check("bom_written", bom_path.is_file(), f"Wrote BOM metadata: {bom_path}", code="PKG.BOM.001"),
        _check("root_usds_written", root_metadata.is_file(), f"Wrote root USD metadata: {root_metadata}", code="PKG.CONF.002"),
    ]
    report["phases"].append(_phase("create", create_checks, "Package definition and metadata were written", "Package creation failed"))
    report["package_definition_path"] = str(package_definition)
    report["metadata"] = {
        "package_id": f"{PACKAGE_ID_PREFIX}.{args.name}.{args.version}",
        "root_usds": normalized_roots,
        "metadata_files": [str(path) for path in metadata_files],
        "bom_item_count": len(bom["items"]),
        "content_hash": content_hash,
    }

    if not args.skip_post_validation:
        validation_report = validate_package(package_definition, profile="Package")
        report["phases"].append(
            {
                "name": "post-validation",
                "passed": validation_report["passed"],
                "status": validation_report["status"],
                "message": "Package post-validation passed" if validation_report["passed"] else "Package post-validation failed",
                "checks": validation_report["checks"],
            }
        )
        report["metadata"]["post_validation"] = validation_report["metadata"]
    report["next_step"] = "publish-or-consume-package"
    return _finalize(report)


def _validate_package_definition_fields(path: Path, payload: Any) -> list[dict[str, Any]]:
    checks: list[dict[str, Any]] = []
    is_object = isinstance(payload, dict)
    checks.append(_check("package_definition_is_object", is_object, "Package definition is a JSON object" if is_object else "Package definition must be a JSON object", code="PKG.DEF.001"))
    if not isinstance(payload, dict):
        return checks
    missing = sorted({"format_version", "package_id", "license"} - set(payload))
    checks.append(_check("package_definition_required_fields", not missing, "Package definition has required fields" if not missing else f"Package definition missing required fields: {missing}", code="PKG.DEF.001"))
    checks.append(_check("format_version_valid", isinstance(payload.get("format_version"), str) and re.fullmatch(r"\d+\.\d+", payload["format_version"]) is not None, "format_version is major.minor" if isinstance(payload.get("format_version"), str) else "format_version must be a major.minor string", code="PKG.DEF.001"))
    package_id = payload.get("package_id")
    forbidden = set('<>:"/\\|?*')
    package_id_ok = isinstance(package_id, str) and bool(package_id) and len(package_id) <= 255 and not any(ch.isspace() or ch in forbidden or ord(ch) < 32 or 127 <= ord(ch) <= 159 for ch in package_id)
    checks.append(_check("package_id_valid", package_id_ok, "package_id is valid" if package_id_ok else "package_id is empty, too long, or contains forbidden characters", code="PKG.DEF.001"))
    checks.append(_check("license_valid", isinstance(payload.get("license"), str) and bool(payload.get("license")), "license is present" if payload.get("license") else "license must be a non-empty string", code="PKG.DEF.001"))
    checks.append(_check("package_definition_canonical_location", path.name == PACKAGING_DEFINITION_FILENAME, "Package definition uses the canonical file name" if path.name == PACKAGING_DEFINITION_FILENAME else f"Package definition must be named {PACKAGING_DEFINITION_FILENAME}", code="PKG.DEF.001"))
    return checks


def _validate_metadata_files(package_root: Path, payload: dict[str, Any], require_metadata_dir: bool) -> list[dict[str, Any]]:
    checks: list[dict[str, Any]] = []
    metadata_dir = package_root / METADATA_FOLDER
    checks.append(_check("metadata_directory_exists", metadata_dir.is_dir(), "Metadata directory exists" if metadata_dir.is_dir() else "Metadata directory is missing", severity="error" if require_metadata_dir else "warning", code="PKG.DEF.001"))
    entries = payload.get("metadata", [])
    if not isinstance(entries, list):
        checks.append(_check("metadata_array_valid", False, "metadata must be an array when present", code="PKG.DEF.001"))
        return checks
    seen: set[str] = set()
    for entry in entries:
        entry_ok = isinstance(entry, dict) and isinstance(entry.get("name"), str) and isinstance(entry.get("hash"), dict)
        checks.append(_check(f"metadata_entry_valid:{entry}", entry_ok, "Metadata entry has name and hash" if entry_ok else f"Metadata entry must include name and hash: {entry}", code="PKG.DEF.001"))
        if not entry_ok:
            continue
        name = entry["name"]
        duplicate = name in seen
        seen.add(name)
        checks.append(_check(f"metadata_entry_unique:{name}", not duplicate, f"Metadata entry is unique: {name}" if not duplicate else f"Duplicate metadata entry: {name}", code="PKG.DEF.001"))
        metadata_file = metadata_dir / name
        exists = metadata_file.is_file()
        checks.append(_check(f"metadata_file_exists:{name}", exists, f"Metadata file exists: {name}" if exists else f"Metadata file listed but missing: {name}", code="PKG.META.001"))
        if exists:
            actual_hash = _hash_file(metadata_file).get("sha256")
            expected_hash = entry["hash"].get("sha256")
            checks.append(_check(f"metadata_hash_matches:{name}", bool(expected_hash) and actual_hash == expected_hash, f"Metadata file hash matches: {name}" if actual_hash == expected_hash else f"Metadata file hash mismatch: {name}", code="PKG.DEF.001"))
    return checks


def _validate_bom(package_root: Path, payload: dict[str, Any], require_bom: bool) -> tuple[list[dict[str, Any]], dict[str, Any] | None]:
    checks: list[dict[str, Any]] = []
    bom_path = package_root / METADATA_FOLDER / BOM_FILENAME
    exists = bom_path.is_file()
    checks.append(_check("bom_exists", exists, "BOM metadata exists" if exists else "BOM metadata is missing", severity="error" if require_bom else "warning", code="PKG.BOM.001"))
    if not exists:
        return checks, None
    try:
        bom = _read_json(bom_path)
    except Exception as exc:
        checks.append(_check("bom_json_valid", False, f"BOM is not valid JSON: {exc}", code="PKG.BOM.001"))
        return checks, None
    items = bom.get("items") if isinstance(bom, dict) else None
    checks.append(_check("bom_items_array", isinstance(items, list), "BOM items is an array" if isinstance(items, list) else "BOM items must be an array", code="PKG.BOM.001"))
    if not isinstance(items, list):
        return checks, bom if isinstance(bom, dict) else None
    seen: set[str] = set()
    for item in items:
        rel = str(item.get("relative_path", "")) if isinstance(item, dict) else ""
        path_ok = isinstance(item, dict) and _is_valid_posix_relative_path(rel)
        checks.append(_check(f"bom_relative_path:{rel}", path_ok, f"BOM item path is valid: {rel}" if path_ok else f"BOM item path must be a forward-slash relative path: {rel}", code="PKG.BOM.001"))
        duplicate = rel in seen
        seen.add(rel)
        checks.append(_check(f"bom_relative_path_unique:{rel}", not duplicate, f"BOM item path is unique: {rel}" if not duplicate else f"Duplicate BOM item path: {rel}", code="PKG.BOM.001"))
        if not path_ok:
            continue
        path = package_root / PurePosixPath(rel)
        file_exists = path.is_file()
        checks.append(_check(f"bom_file_exists:{rel}", file_exists, f"BOM item file exists: {rel}" if file_exists else f"BOM item file is missing: {rel}", code="PKG.BOM.001"))
        if file_exists:
            checks.append(_check(f"bom_file_size:{rel}", isinstance(item.get("size"), int) and item["size"] == path.stat().st_size, f"BOM item size matches: {rel}" if item.get("size") == path.stat().st_size else f"BOM item size mismatch: {rel}", code="PKG.BOM.001"))
            expected = item.get("hash", {}).get("sha256") if isinstance(item.get("hash"), dict) else None
            actual = _hash_file(path).get("sha256")
            checks.append(_check(f"bom_file_hash:{rel}", bool(expected) and expected == actual, f"BOM item hash matches: {rel}" if expected == actual else f"BOM item sha256 hash mismatch: {rel}", code="PKG.BOM.001"))
    actual_content = {path.relative_to(package_root).as_posix() for path in _content_files(package_root)}
    bom_content = {str(item.get("relative_path", "")) for item in items if isinstance(item, dict)}
    checks.append(_check("bom_complete", actual_content == bom_content, "BOM lists every package content file" if actual_content == bom_content else f"BOM content mismatch; missing={sorted(actual_content - bom_content)}, extra={sorted(bom_content - actual_content)}", code="PKG.BOM.001"))
    computed_content_hash = _compute_content_hash(items)
    content_hash = payload.get("content_hash")
    if isinstance(content_hash, dict) and computed_content_hash is not None:
        checks.append(_check("content_hash_matches", content_hash.get("sha256") == computed_content_hash.get("sha256"), "content_hash matches BOM items" if content_hash.get("sha256") == computed_content_hash.get("sha256") else "content_hash does not match BOM items", code="PKG.HASH.001"))
    return checks, bom


def _root_usds_metadata(package_root: Path) -> tuple[list[dict[str, Any]], list[str]]:
    path = package_root / METADATA_FOLDER / ROOT_USDS_FILENAME
    if not path.is_file():
        discovered = sorted(p.relative_to(package_root).as_posix() for p in package_root.rglob("*") if p.is_file() and p.suffix.lower() in PACKAGE_ROOT_USD_SUFFIXES and METADATA_FOLDER not in p.parts)
        return [_check("root_usds_metadata_exists", False, "Root USD metadata is missing", severity="warning", code="PKG.CONF.002")], discovered
    try:
        payload = _read_json(path)
    except Exception as exc:
        return [_check("root_usds_json_valid", False, f"Root USD metadata is not valid JSON: {exc}", code="PKG.CONF.002")], []
    entries = payload.get("entries") if isinstance(payload, dict) else None
    if not isinstance(entries, list):
        return [_check("root_usds_entries_array", False, "Root USD metadata must include entries array", code="PKG.CONF.002")], []
    return _validate_root_usds(package_root, [str(entry) for entry in entries])


def _validate_package_hash(payload: dict[str, Any]) -> list[dict[str, Any]]:
    package_hash = payload.get("package_hash")
    content_hash = payload.get("content_hash")
    entries = payload.get("metadata", [])
    if package_hash is None:
        return [_check("package_hash_available", False, "package_hash is not present", severity="warning", code="PKG.HASH.001")]
    can_compute = isinstance(payload.get("package_id"), str) and isinstance(payload.get("license"), str) and isinstance(content_hash, dict) and isinstance(content_hash.get("sha256"), str) and isinstance(entries, list)
    if not can_compute:
        return [_check("package_hash_computable", False, "package_hash cannot be computed from package definition fields", code="PKG.HASH.001")]
    computed = _compute_package_hash(payload["package_id"], payload["license"], content_hash, entries)
    return [_check("package_hash_matches", package_hash.get("sha256") == computed.get("sha256"), "package_hash matches package definition" if package_hash.get("sha256") == computed.get("sha256") else "package_hash does not match package definition", code="PKG.HASH.001")]


def validate_package(package_definition: Path, *, profile: str) -> dict[str, Any]:
    package_definition = package_definition.resolve()
    package_root = package_definition.parent
    report = _base_report(package_root, "nv-core-package-sample-validation", "validate", "local", profile)
    report["package_definition_path"] = str(package_definition)
    checks = report["checks"]
    exists = package_definition.is_file()
    checks.append(_check("package_definition_exists", exists, "Package definition exists" if exists else "Package definition does not exist", code="PKG.DEF.001"))
    if not exists:
        return _finalize(report)
    try:
        payload = _read_json(package_definition)
    except Exception as exc:
        checks.append(_check("package_definition_json_valid", False, f"Package definition is not valid JSON: {exc}", code="PKG.DEF.001"))
        return _finalize(report)
    checks.append(_check("package_definition_json_valid", True, "Package definition is valid JSON", code="PKG.DEF.001"))
    checks.extend(_validate_package_definition_fields(package_definition, payload))
    metadata = {"package_id": None, "metadata_entries": [], "bom_item_count": 0, "root_usds": []}
    if isinstance(payload, dict):
        metadata["package_id"] = payload.get("package_id")
        metadata["metadata_entries"] = [entry.get("name") for entry in payload.get("metadata", []) if isinstance(entry, dict)]
        checks.extend(_validate_metadata_files(package_root, payload, require_metadata_dir=profile == "Package"))
        bom_checks, bom = _validate_bom(package_root, payload, require_bom=profile == "Package")
        checks.extend(bom_checks)
        if bom and isinstance(bom.get("items"), list):
            metadata["bom_item_count"] = len(bom["items"])
        root_checks, root_entries = _root_usds_metadata(package_root)
        checks.extend(root_checks)
        metadata["root_usds"] = root_entries
        checks.extend(_validate_sidecar_types(package_root))
        checks.extend(_validate_package_hash(payload))
    report["metadata"] = metadata
    report["next_step"] = "publish-or-consume-package"
    return _finalize(report)


def _markdown(report: dict[str, Any]) -> str:
    lines = [
        "# SimReady Package Report",
        "",
        f"- Package root: `{report['package_root']}`",
        f"- Package definition: `{report['package_definition_path']}`",
        f"- Skill: `{report['skill']}`",
        f"- Operation: `{report['operation']}`",
        f"- Backend: `{report['backend']}`",
        f"- Profile: `{report['profile']}`",
        f"- Passed: `{report['passed']}`",
        f"- Status: `{report['status']}`",
        f"- Next step: `{report['next_step']}`",
        "",
        "## Checks",
        "",
    ]
    checks = list(report.get("checks", []))
    for phase in report.get("phases", []):
        checks.extend(phase.get("checks", []))
    for check in checks:
        state = "PASS" if check["passed"] else "FAIL"
        code = f" `{check['code']}`" if check.get("code") else ""
        lines.append(f"- `{state}` `{check['name']}`{code}: {check['message']}")
    if report["errors"]:
        lines.extend(["", "## Errors", ""])
        lines.extend(f"- {error}" for error in report["errors"])
    if report["warnings"]:
        lines.extend(["", "## Warnings", ""])
        lines.extend(f"- {warning}" for warning in report["warnings"])
    lines.append("")
    return "\n".join(lines)


def _emit(report: dict[str, Any], report_path: Path | None, markdown_report_path: Path | None) -> None:
    emit_json_report(report, report_path, markdown_report_path, _markdown(report))


def _package_parser() -> argparse.ArgumentParser:
    parser = argparse.ArgumentParser(description="Create a SimReady package definition and metadata.")
    parser.add_argument("source", type=Path)
    parser.add_argument("--name", required=True)
    parser.add_argument("--version", default="1.0.0")
    parser.add_argument("--license", dest="license_id", required=True)
    parser.add_argument("--root-usd", action="append", default=[])
    parser.add_argument("--backend", choices=("local", "wrapp"), default="local")
    parser.add_argument("--repo", type=Path)
    parser.add_argument(
        "--upstream-sample-dir",
        "--upstream-scripts-dir",
        dest="upstream_sample_dir",
        type=Path,
    )
    parser.add_argument("--skip-pre-validation", action="store_true")
    parser.add_argument("--skip-post-validation", action="store_true")
    parser.add_argument("--overwrite", action="store_true")
    parser.add_argument("--report", type=Path)
    parser.add_argument("--markdown-report", type=Path)
    return parser


def _validate_parser() -> argparse.ArgumentParser:
    parser = argparse.ArgumentParser(description="Validate a SimReady package definition and metadata.")
    parser.add_argument("package_definition", type=Path)
    parser.add_argument("--profile", choices=PROFILE_CHOICES, default="Package")
    parser.add_argument("--report", type=Path)
    parser.add_argument("--markdown-report", type=Path)
    return parser


def main(argv: list[str] | None = None) -> int:
    if _skill_name() == "nv-core-package-sample-validation":
        args = _validate_parser().parse_args(argv)
        report = validate_package(args.package_definition, profile=args.profile)
    else:
        args = _package_parser().parse_args(argv)
        report = create_package(args)
    _emit(report, args.report, args.markdown_report)
    return 0 if report["passed"] else 1


if __name__ == "__main__":
    raise SystemExit(main())

Requirements and compatibility

Written for: OpenAI Codex

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an API key, Needs Python

The author says: Orchestrator skill. Managed Content Agents deployment requires NVIDIA_API_KEY (build.nvidia.com), Docker + NVIDIA Container Toolkit + GPU, Python 3.12, and an upstream checkout of nvidia-omniverse/content-agents on branch main. Reused/provided endpoints may instead use explicit endpoint and usage-token environment variables. Linux/macOS only.

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs
  • Instructions that use the network
  • Downloads piped into a shell
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Omniverse
Publisher
OpenAI (Official)
Distributed by
OpenAI
Source
openai/plugins · plugins/nvidia/skills/omniverse-cad-to-simready · commit d420d13
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (written by AutoGineer)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Omniverse or OpenAI.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download omniverse-cad-to-simready.zip