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Omniverse Cad To Simready

NVIDIAOfficialCreated by OmniverseDistributed by NVIDIA

  • 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

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill acts as an orchestrator for the CAD to SimReady pipeline, coordinating a series of specialized stages including asset conversion, material and physics assignment via Content Agents, validation, and final packaging. It is designed to manage the flow between discrete tools rather than replacing them, ensuring that assets meet specific simulation requirements through a structured, documentation-driven process.

What it does

  • Coordinates end-to-end conversion from source CAD or mesh assets to SimReady USD.
  • Manages property assignment for materials and physics using Content Agents.
  • Performs multi-stage validation gates to ensure asset viability and conformance.
  • Automates the assembly of deliverable packages including thumbnails and USD dependencies.
  • Provides consolidated reporting on workflow status, validation findings, and stage outputs.
  • Supports flexible execution modes including conversion-only and validation-only paths.

When to use it

  • When you need to transform raw CAD or source assets into simulation-ready USD files.
  • When you require automated material and physics assignment for 3D assets.
  • When you need to validate assets against SimReady conformance profiles.
  • When you are preparing assets for packaging and distribution in a simulation environment.

Advantages

  • Provides a structured, repeatable pipeline for complex asset preparation.
  • Integrates multiple specialized stages into a cohesive workflow.
  • Ensures consistent validation and conformance across the asset lifecycle.
  • Supports modular execution by allowing specific stages to be skipped or isolated.

Usage examples

“Convert my CAD file at /path/to/model.step to a SimReady asset.”
The agent will initiate the preflight check, convert the file to USD, apply material and physics properties, validate the result, and output a report.
“Validate this existing USD file for SimReady conformance.”
The agent will run the validation-only workflow, checking the provided USD against SimReady profiles and reporting any findings.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/nvidia/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 for an end-to-end pipeline from a source asset to a SimReady asset or package. It coordinates existing conversion, authoring, validation, conformance, rendering, and packaging references directly; do not replace it with a single monolithic runner command.

This skill is documentation-driven and does not ship scripts/run.py; it must not depend on a repository checkout. Shell is declared because this workflow invokes installed stage reference scripts directly, from each reference's installed directory, and it still must not grow a monolithic runner.

Prerequisites

  • Prefer preflight first for deterministic setup: it installs/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).

  • A Content Agents model provider key when local deployment will run, or explicit endpoint variables plus usage tokens for already-running endpoints; see references/preflight/README.md for the full list.

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

  • Local upstream checkouts under ${OMNIVERSE_CAD_TO_SIMREADY_UPSTREAM_ROOT:-$HOME/.omniverse-cad-to-simready/upstreams} when a stage needs upstream scripts or specs.

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. For conversion-only requests, 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. For validation-only requests, set property_assignment_intent=skip and validate the USD the user provided without rerunning conversion.

Run preflight (or verify an existing PHYSICAL_AI_PREFLIGHT_MANIFEST) before any converter, validation, Content Agents, OVRTX, packaging, or FET step; treat it as dependency bootstrap, not workflow routing. Use --skip-content-agents for conversion-only/validation-only requests.

When property_assignment_intent=run, verify or deploy Content Agents services immediately after confirming the source path and resolving intent, before asset-context inspection, converter dependency checks, conversion, validation, conformance, rendering, packaging, or upstream source builds. Treat explicitly provided healthy endpoints as user-owned; otherwise run deploy-content-agents, which deploys the shared standalone OVRTX renderer, then Material, Physics, and optional Texture service containers in order.

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.

Output Format

Emit a consolidated workflow report in Markdown, and include JSON when the workflow writes structured artifacts. Report overall status as passed, blocked, failed, or needs_rerun. See references/workflow.md for the required Markdown and JSON report fields.

Detailed References

Read only the references needed for the current request:

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

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

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

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

  • references/troubleshooting.md: symptom/cause/fix table plus FET (GSP.001/RB.MB.001) repair-routing detail.

  • references/publishing-layout.md: frontmatter compatibility-field notes and layout rationale for this skill's own file tree.

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 the nested references/ tree is intentional. See references/publishing-layout.md for the alias list, frontmatter field placement, and flattening rules.

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.

Troubleshooting

Read references/troubleshooting.md only when a specific stage or validation gate is failing; it owns the symptom/cause/fix table and FET repair routing.

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

references/content-agents/README.md

Content Agents

When to Use

Use this router reference after USD conversion and minimum USD validation when an asset needs NVIDIA Omniverse Content Agents service calls. Select the right nested call reference, preserve each service report, and hand the newest USD or USDZ artifact to the next workflow stage.

This is not the deployment workflow and not a replacement for the service-specific call references. If an endpoint is missing, hand off to deploy-content-agents for the required target, then return to this router and run the selected service call.

This installed router reference ships a narrow scripts/run.py control-plane wrapper for deterministic service sequencing and report generation. It still delegates service calls to the portable scripts/run.py from each selected service reference; it does not reimplement Material, Physics, or Texture Agent behavior.

Prerequisites

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

  • Prefer a ready PHYSICAL_AI_PREFLIGHT_MANIFEST from the preflight reference. The client wrappers consume prepared CONTENT_AGENTS_*_BASE_URL endpoints from that manifest before falling back to direct environment variables. When PHYSICAL_AI_REQUIRE_PREFLIGHT=1 is set, missing or unhealthy services block at the preflight guardrail.

  • A required .usd, .usda, .usdc, or .usdz input asset.

  • Reachable Material, Physics, Texture, or OVRTX endpoints through CONTENT_AGENTS_*_BASE_URL, unless this router hands off to deployment first.

  • Bearer auth through explicit usage token environment variables when a provided endpoint requires auth: CONTENT_AGENTS_TOKEN, NGC_API_KEY, NVCF_API_KEY, or selected service-specific variables such as CONTENT_AGENTS_MATERIAL_AGENT_TOKEN, MATERIAL_AGENT_TOKEN, CONTENT_AGENTS_PHYSICS_AGENT_TOKEN, PHYSICS_AGENT_TOKEN, CONTENT_AGENTS_TEXTURE_AGENT_TOKEN, or TEXTURE_AGENT_TOKEN.

Routing

Choose the smallest route that satisfies the user request and selected workflow profile:

Request or evidenceRoute
Visual appearance, material prediction, or material bindingsmaterial-agent-client
Rigid bodies, colliders, mass, density, friction, restitution, or simulation physics propertiesphysics-agent-client
Textured output, texture artifacts, or textured USDZ generationtexture-agent-client
Broad Content Agents enrichment for SimReady or simulation usematerial-agent-client then physics-agent-client; add texture-agent-client only when textured output is requested
Missing Material, Physics, Texture, or OVRTX service endpointdeploy-content-agents for the missing target, then rerun the selected call reference
Deployment-only requestdeploy-content-agents; do not treat this router as the deployment workflow

Prefer explicit user intent over default ordering. For simulation-readiness, run visual material assignment before physics assignment so the Physics Agent can use the materialized USD when available. Run texture generation after material assignment, and do not replace the physics-authored USD path for simulation validation unless the user explicitly wants to validate the textured USDZ.

Run the local router when more than one Content Agents call is selected so path handoff is deterministic:

python3 /path/to/skills/omniverse-cad-to-simready/references/content-agents/scripts/run.py \
  /path/to/material_input.usd \
  --output-dir /path/to/output/content-agents \
  --call material \
  --call physics \
  --report /path/to/output/content-agents/content-agents.json

Add --call texture only when textured output or textured packaging is requested. The consolidated output_usd_path remains the latest simulation USD when physics ran; textured_usdz_path is reported separately.

Inputs

Collect:

InputRequirement
asset_pathRequired .usd, .usda, .usdc, or .usdz input.
output_rootRequired directory for service reports and downloaded artifacts.
material_intentWhether to run, skip, or require visual material assignment.
physics_intentWhether to run, skip, or require physics property assignment.
texture_intentWhether to run, skip, or require texture generation.
asset_context_reportOptional context report from identify-asset-context; use its material_physics_prompt when present.
service_endpointsOptional Material, Physics, Texture, and OVRTX URLs from env or user input. Check CONTENT_AGENTS_MATERIAL_AGENT_BASE_URL, CONTENT_AGENTS_PHYSICS_AGENT_BASE_URL, and CONTENT_AGENTS_TEXTURE_AGENT_BASE_URL.
NVIDIA_API_KEY availabilityRequired only before local deployment when service endpoints are missing. Do not use it as the default bearer token for already-running endpoints.

Instructions

  1. Confirm the asset exists and is USD-family.

  2. Determine the requested Content Agents calls from user intent, workflow defaults, and selected SimReady profile.

  3. Resolve required service endpoints from explicit inputs or CONTENT_AGENTS_*_BASE_URL.

  4. For each missing required endpoint, use deploy-content-agents with the matching target. Require a healthy service before returning to this router.

  5. Do not run simready-conform-profile, FET001 unit normalization, or other FET repairs before the first Content Agents call. If minimum USD validation found metersPerUnit != 1.0 or another repairable SimReady issue, record it for the post-assignment conformance pass and continue with the converted/minimum-valid USD as the service input.

  6. Use the material-agent-client reference first when material assignment is requested or needed. Its wrapper stages USD-layer uploads without MDL shader sourceAsset references when those references point at missing converter sidecars such as gltf/pbr.mdl; preserve the material_upload_info field from its report.

  7. Use the physics-agent-client reference on the latest materialized USD path when physics assignment is requested or needed. Its wrapper automatically inspects USD topology and enables --optimize-usd --enable-deinstance --enable-split for composed CAD assets with GeomSubset, instance, or prototype component structure. It also stages Physics Agent uploads without MDL shader sourceAsset references and unresolved service-internal USDZ subasset paths from Material Agent outputs when those references would only affect visual material source files and can break main optimizer packaging. If the optimized Physics service path fails because Scene Optimizer is unavailable, the wrapper retries once without the optimizer flags and records both attempts. Preserve the usd_topology, physics_optimizer, physics_upload_info, and attempts fields from its report.

  8. Use the texture-agent-client reference only when texture generation or textured packaging is requested.

  9. Preserve each JSON report and report HTML or prediction artifact when available.

  10. Summarize the selected route, service readiness decisions, generated artifacts, latest USD-family output, and next handoff.

When an existing service endpoint requires bearer auth, export an explicit usage token environment variable before running the command. Use CONTENT_AGENTS_TOKEN for a shared Content Agents token, service-specific CONTENT_AGENTS_*_TOKEN / *_AGENT_TOKEN variables for one service, or NGC_API_KEY / NVCF_API_KEY for provided NVCF endpoints. Do not use NVIDIA_API_KEY as the default client token; it is deployment auth. Do not pass secrets as command-line arguments in normal workflows because process listings can expose argv. In normal agent workflows, omit --token entirely, including empty strings or placeholders, and let the wrapper read the credential from env or a *_FILE variable. The wrapper still accepts --token for constrained automation, but that path should be treated as a fallback.

For detached or shared-host runs, prefer file-backed secrets such as CONTENT_AGENTS_TOKEN_FILE, NGC_API_KEY_FILE, MATERIAL_AGENT_TOKEN_FILE, PHYSICS_AGENT_TOKEN_FILE, or TEXTURE_AGENT_TOKEN_FILE. The wrappers read the token from those files when the corresponding environment variable is unset, which avoids exposing token values through shell expansion or process argv.

The service wrappers poll /pipeline/<session>/status until the service reaches a terminal state or the wrapper timeout expires. Transient polling failures such as SSL or connection timeouts, HTTP 408, HTTP 429, or HTTP 5xx responses are retried and recorded as warnings when the service later completes.

Multi-File USD Uploads

The service API accepts a single uploaded USD-family file. When the input USD uses external layers or asset dependencies, the wrappers inspect dependencies with OpenUSD and package the asset as USDZ for upload with UsdUtils.CreateNewUsdzPackage. The report records this in upload_info and upload_packaging. Prefer this packaging path over flattening because it keeps the authored layer structure and referenced assets together for the service. When the process Python cannot import pxr, the wrappers try CONTENT_AGENTS_OPENUSD_PYTHON, USD_CONVERT_CAD_PYTHON, the skill repository's .venv, and uv run --python 3.12 in that order. They never discover or execute a .venv from the caller's asset directory; uv is bound to the skill-owned project when one is present and otherwise runs with --no-project. The same resolver is used for topology inspection, MDL/service-path preparation, and dependency packaging. upload_info records the selected inspection_runtime, executable, dependency paths, unresolved paths, packaging decision, and package size. If no runtime can inspect a local USD, the wrapper fails before creating a service session and asks for an already self-contained USDZ or a configured OpenUSD Python instead of silently uploading one raw layer.

Material Agent alone may receive an original USD with unresolved texture paths when inspection finds no resolved sidecars, because missing source textures can be replaced during material prediction. The report records that exception as missing_textures_passthrough with a warning. If a missing texture prevents OpenUSD from packaging otherwise resolved dependencies, the wrapper fails before session creation instead of uploading a root layer that omits those sidecars. Missing USD layers or other non-texture dependencies always fail, and Physics and Texture Agent uploads reject every unresolved dependency.

Rate Limits

Wrapper retries cover transient status polling and delayed artifact download failures, including HTTP 429 responses visible to the wrapper. They do not retry per-prim VLM prediction failures that the Material Agent records inside a completed service session. If predictions are partially rate-limited, preserve the service report, rerun later or with a smaller asset/workload when possible, and use a higher-quota service key for large assemblies.

Command Patterns

Material assignment:

python3 /path/to/skills/omniverse-cad-to-simready/references/content-agents/references/material-agent-client/scripts/run.py asset.usda output_dir/content-agents/materials \
  --prompt "$ASSET_CONTEXT_PROMPT" \
  --report output_dir/content-agents/material-agent-client.json

The Material Agent wrapper sends vlm_max_workers=1 and omits the service-side render step by default. Use --vlm-max-workers, --render-num-workers, or --material-steps only when the selected service run needs different concurrency or its own render artifact.

For any existing endpoint that requires a different bearer token, set MATERIAL_AGENT_TOKEN, PHYSICS_AGENT_TOKEN, or TEXTURE_AGENT_TOKEN in the environment for the selected service instead of changing wrapper defaults. Use the matching *_FILE variable when the run is long-lived or process listings are visible to other users.

If the Material Agent optimized path was intended but local service logs show Scene Optimizer failed — continuing pipeline without optimization together with Permission denied: '/app/.build-resources/scene_optimizer_core/python', repair the running local Material Agent container permissions and rerun the same Material Agent command. This is a local Scene Optimizer bundle permission issue, not an asset-level reason to disable optimize_usd.

Physics assignment:

python3 /path/to/skills/omniverse-cad-to-simready/references/content-agents/references/physics-agent-client/scripts/run.py output_dir/content-agents/materials/output_material.usd output_dir/content-agents/physics \
  --render-backend remote \
  --convert-output-to-usd \
  --prompt "$ASSET_CONTEXT_PROMPT" \
  --report output_dir/content-agents/physics-agent-client.json

The Physics Agent wrapper auto-enables --optimize-usd --enable-deinstance --enable-split when USD inspection detects composed component topology, and it falls back to a no-optimizer retry when the service reports an optimizer setup failure. If the optimized attempt fails immediately at optimize_usd with no completed service steps, inspect the Physics Agent service logs before treating the no-optimizer retry as meaningful. On local Docker deployments, a known Scene Optimizer bundle permission issue can appear as Permission denied: '/app/.build-resources/scene_optimizer_core/python'; repair the running service container permissions and rerun the optimized command instead of disabling deinstance/split for instanced topology. Do not wrap the call in a shorter external timeout or terminate the wrapper while the service remains non-terminal and its current step or progress is advancing. Remote-rendered Physics stages such as identify_asset, build_dataset_usd, predict, restore_usd, and apply_physics can take many minutes on CAD or instanced assets; wait for the wrapper to return its JSON report unless the service reaches a terminal failure state or the wrapper's own timeout expires.

If the physics-authored USD still has one rigid body and the selected profile reports RB.MB.001, keep the service output and route that validation failure through simready-conform-profile / upstream simready-foundation-conform-fet-004-simulate-multi-body-physics only when the USD has at least two reusable component candidates. For a single mesh component or single GeomSubset component, simready-validate treats RB.MB.001 as non-blocking and records it under ignored_issues; do not retry the same Physics Agent call blindly.

If system python3 cannot import pxr, the Material and Physics wrappers try uv run --python 3.12 for OpenUSD topology inspection. Upload dependency inspection and packaging use the broader fail-closed runtime resolution described under Multi-File USD Uploads. Upload-copy preparation also tries the uv runtime when stripping missing MDL shader sources or clearing unresolved service-internal USDZ subasset paths before packaging.

Texture generation:

python3 /path/to/skills/omniverse-cad-to-simready/references/content-agents/references/texture-agent-client/scripts/run.py output_dir/content-agents/materials/output_material.usd output_dir/content-agents/textures \
  --report output_dir/content-agents/texture-agent-client.json

Use the concrete output_usd_path, output_usdz_path, or downloaded artifact paths from each report. Do not assume placeholder filenames from examples.

Output Format

The router summary should include:

FieldMeaning
input_asset_pathOriginal USD-family input path.
selected_callsOrdered Content Agents call references selected by this router.
deployment_handoffsAny deploy-content-agents targets needed before calls.
reportsJSON report paths for each call reference.
materialized_usd_pathUSD path after visual material assignment, when available.
physics_usd_pathUSD path after physics assignment, when available.
textured_usdz_pathUSDZ path after texture generation, when available.
output_usd_pathLatest USD-family artifact for downstream validation or conformance.
next_stepUsually simready-conform-profile or validation.

Limitations

  • This router is not the deployment workflow and not a replacement for the service-specific call references.

  • Run texture generation only when texture generation or textured packaging is requested.

  • Do not replace the physics-authored USD path for simulation validation with a textured USDZ unless the user explicitly requests that validation target.

Troubleshooting

SymptomCauseFix
Service call fails because endpoint requires bearer auth and the wrapper's default token is wrongEndpoint-specific credentials are not the wrapper's default environment tokenExport the selected service token environment variable before running the command. Avoid --token except when environment injection is impossible.
Required service endpoint missingCONTENT_AGENTS_*_BASE_URL is unsetHand off to deploy-content-agents for the missing target, then return to this router and rerun.
Material Agent renders 0 images after a pre-assignment FET repairThe input USD was normalized or otherwise rewritten before Material Agent, which can change layer composition or scene traversal behavior seen by the serviceRestart Content Agents from the converted/minimum-valid USD, then run simready-conform-profile and FET fixes on the latest service-authored USD.
Material Agent local logs show Scene Optimizer failed — continuing pipeline without optimization and Permission denied: '/app/.build-resources/scene_optimizer_core/python'Local Docker Scene Optimizer bundle parent directory is not traversable by the non-root material-agent user; tracked upstream in the nvidia-omniverse/content-agents issue trackerFor the running local container, run docker exec --user root content-material-agent-service chmod -R a+rX /app/.build-resources/scene_optimizer_core, then rerun the same optimized Material Agent command. If the service is remote or cannot be repaired, include the optimizer-bypass evidence in the handoff.
Physics Agent fails immediately in optimize_usd with no completed steps, and local service logs show Permission denied: '/app/.build-resources/scene_optimizer_core/python'Local Docker Scene Optimizer bundle parent directory is not traversable by the non-root physics-agent user; tracked upstream in the nvidia-omniverse/content-agents issue trackerFor the running local container, run docker exec --user root content-physics-agent-service chmod -R a+rX /app/.build-resources/scene_optimizer_core, then rerun the same optimized Physics Agent command. If the service is remote or cannot be repaired, report the optimized attempt as blocked.
Selected Content Agents call fails or times outService-level failureInspect the specific call's JSON report and retry that service reference after fixing the service or input issue. Do not hand-author substitute material/physics bindings.
Physics Agent appears slow during identify_asset, build_dataset_usd, predict, restore_usd, or apply_physicsRemote rendering, VLM inference, or CAD/instanced topology can make valid service steps take many minutesKeep waiting while the wrapper polls and the service remains non-terminal with changing status/progress. Do not terminate the wrapper and write a substitute report.

Pass/Fail Policy

Block when a required service endpoint is missing and deploy-content-agents cannot deploy or verify the service.

Fail when a selected Content Agents call fails, times out, or cannot download its required output artifact.

Skip when the user explicitly disables a call, the selected profile does not need that enrichment, or texture generation is not requested.

Warn when optional prediction files, report HTML, or texture artifacts are unavailable but the required USD-family handoff exists.

Next Steps

Use this handoff:

ResultNext step
Material and physics assignment completedRun simready-conform-profile on the latest physics-authored USD.
Texture generation completed for visual packagingUse the textured artifact for packaging or preview; keep the physics USD for simulation validation unless requested otherwise.
Service deployment blockedResolve the deployment blocker or configure the missing service base URL and usage token, then rerun this router.
Selected call failedInspect the specific call report and retry that service reference after fixing the service or input issue.

Requirements and compatibility

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: Declares allowed tools, Needs Python

The author says: Orchestrator skill. Managed Content Agents deployment requires a configured model provider key matching the selected backend, such as NVIDIA_API_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY, GOOGLE_API_KEY, or GEMINI_API_KEY, Docker + NVIDIA Container Toolkit + GPU, Python 3.12, and an upstream checkout of nvidia-omniverse/content-agents at the ref pinned in upstream-versions.lock.json. 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.

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Attribution and licence

Created by
Omniverse
Publisher
NVIDIA (Official)
Distributed by
NVIDIA
Source
NVIDIA/skills · skills/omniverse-cad-to-simready · commit fce3cca
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE-APACHE)
  • ATTRIBUTION.md (written by AutoGineer)
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