## Description:
Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF datasets.
This skill is ready for commercial/non-commercial use.
## Owner
NVIDIA
### License/Terms of Use:
Apache 2.0
## Use Case:
Developers and engineers building Physical AI applications who need to route NVIDIA Neural Reconstruction (NuRec) requests to the appropriate upstream sibling skill for 3D scene reconstruction, rendering, and sensor simulation from camera, LiDAR, or radar recordings.
### Deployment Geography for Use:
Global
## Known Risks and Mitigations:
Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills.
Mitigation: Review and scan skill before deployment.
## Reference(s):
- [Upstream NuRec Skills Repository](https://github.com/NVIDIA/nurec-skills)
- [Workflows Reference](references/workflows.md)
- [Upstream Fetch Reference](references/upstream-fetch.md)
- [Mix-ups and Naming Overlaps](references/mix-ups.md)
- [Maintenance Guide](references/maintenance.md)
- [Teardown Guide](references/teardown.md)
## Skill Output:
**Output Type(s):** [Shell commands, Configuration instructions, Analysis]
**Output Format:** [Markdown with inline bash code blocks]
**Output Parameters:** [1D]
**Other Properties Related to Output:** [None]
## Evaluation Tasks:
Evaluated against NVSkills-Eval `external` profile with Tier 1 static validation (9 checks, 6 findings) and Tier 2 deduplication (2 checks, 0 findings). Overall verdict: PASS.
## Evaluation Metrics Used:
Reported benchmark dimensions:
- Security: Checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access.
- Correctness: Checks whether the agent follows the expected workflow and produces the correct final output.
- Discoverability: Checks whether the agent loads the skill when relevant and avoids using it when irrelevant.
- Effectiveness: Checks whether the agent performs measurably better with the skill than without it.
- Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work.
## Skill Version(s):
0.3.0 (source: frontmatter)
## Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal team to ensure this skill meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
(For Release on NVIDIA Platforms Only)
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail).