NVIDIA NuRec Skills is a set of agent instructions for running neural reconstruction and rendering workflows in NVIDIA Omniverse NuRec. It targets autonomous-vehicle and robotics simulation, guiding agents across the public containers, repositories, and artifacts that make up the NuRec stack.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add NVIDIA/nurec-skills --skill nurec-indexgit clone --depth 1 https://github.com/NVIDIA/nurec-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nvidia/nurec-skills/nurec-index)<a href="https://agentmods.dev/skills/nvidia/nurec-skills/nurec-index"><img src="https://agentmods.dev/badge/skills/nvidia/nurec-skills/nurec-index/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nvidia/nurec-skills/nurec-index"><img src="https://agentmods.dev/badge/skills/nvidia/nurec-skills/nurec-index.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00093 | $0.04722 |
| Opus 5 | $0.00046 | $0.02361 |
| Sonnet 5 | $0.00019 | $0.00944 |
| Haiku 4.5 | $0.00009 | $0.00472 |
Grade B, and why
nurec-index scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
- Open the `ncore` skill next; do not run any commands from this How it starts
The opening of the file, as written. The whole thing — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NuRec Skills Index
A routing skill. It decides which sibling skill to read next for a NuRec / Neural Reconstruction task. Five siblings cover the full pipeline:
physical-ai-datasets— find an existing NVIDIA dataset.ncore— convert raw sensor data into NCore V4.nre— train a 3DGUT reconstruction and render novel views from NCore V4 (or a pre-trained USDZ).asset-harvester— extract per-object 3D Gaussian Splat assets from sparse AV-clip views.nurec-fixer— clean up artifacts in already-rendered frames.
Use this index when the user mentions NuRec / NRE / 3DGUT / USDZ / "render this clip" / "convert this bag" / "extract objects" but the right sub-skill is not yet obvious. Always read this first.
Do NOT use this index when:
- The right sub-skill is already obvious (open it directly).
- The task is not a NuRec task (this skill will not help).
- Hands-on implementation steps are needed — defer to the sub-skill this index points at.
Purpose
This skill exists so an agent never has to guess which NuRec-family skill to read next. It is a hand-curated router for the five-skill NuRec family and nothing else.
Use cases this skill is built for:
- Disambiguate a NuRec request. The user says "render this clip", "convert this bag", "fix these frames", or "extract this car" and you need to pick the one sibling skill that owns that verb.
- Bootstrap a multi-stage pipeline. The user's goal needs two or
three siblings in a fixed order (convert → train → render, dataset
→ render, harvest → insert, render → harmonize). This index points
you at the right starting sibling and the matching workflow A–G in
references/workflows.md. - Translate NuRec jargon for a beginner. NuRec vs NRE, USDZ vs NCore V4, 3DGUT vs 3DGRT, NRE's built-in Fixer vs the standalone DiffusionHarmonizer — see Easy mix-ups.
- Locate a sibling skill that is not on disk. Defer to
references/discovery.mdinstead of guessing a path. - Plan disk cleanup across the family. A full NuRec workflow
can leave 150 GB+ behind; defer to
references/teardown.mdfor the documented order.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 392 lines · 93 tokens per session scan B abf2f7423909
nurec-index is a skill published in the GitHub repository NVIDIA/nurec-skills (38 stars, last pushed 8d ago), licensed Apache-2.0. It adds 93 tokens to every session and 4,722 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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