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 nebius/nebius-physical-ai --skill neural-reconstructiongit clone --depth 1 https://github.com/nebius/nebius-physical-aiWrote 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/nebius/nebius-physical-ai/neural-reconstruction)<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/neural-reconstruction"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/neural-reconstruction/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/nebius/nebius-physical-ai/neural-reconstruction"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/neural-reconstruction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Privilege Escalation · line 296 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 | $0.00124 | $0.08080 |
| Opus 5 | $0.00062 | $0.04040 |
| Sonnet 5 | $0.00025 | $0.01616 |
| Haiku 4.5 | $0.00012 | $0.00808 |
Grade B, and why
neural-reconstruction 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 yesterday.
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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
| Output files owned by `root` after a local `docker run` (upstream) | `-u $(id -u):$(id -g)` was omitted | `sudo chown -R "$(id -u):$(id -g)" <dir>`, and pass `-u` next time. Not an issue in-pod, which runs as root by d How it starts
The opening of the file, as written. The whole thing — 555 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Neural Reconstruction (NuRec / NRE)
Source And Attribution
Adapted from the NVIDIA Omniverse NuRec agent skills at
https://github.com/NVIDIA/nurec-skills (skills/nre,
skills/physical-ai-datasets, skills/ncore) and the NVIDIA NCore data library
at https://github.com/NVIDIA/ncore.
The capability routing table, the easy mix-ups, the safe secret-verification
pattern, and several troubleshooting rows below are adapted from the NVIDIA
router skill
https://github.com/NVIDIA/skills/tree/main/skills/physical-ai-neural-reconstruction
(Apache-2.0), pinned at commit 0122ea0 (2026-08-01). That skill is a router:
it never runs anything, it decides which upstream sibling skill answers a
question. This skill is the opposite — it is the workbench implementation — so
the router's picker table is re-pointed at real npa workbench nurec verbs, and
each row upstream owns is marked as such rather than reproduced.
Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. Upstream licenses are
Apache-2.0 and CC-BY-4.0. Trademarks (NVIDIA, Omniverse, NuRec, NRE, Isaac Sim,
Cosmos) belong to NVIDIA. See skills/NOTICE-NVIDIA-SKILLS.
The NCore conversion image packages pinned Apache-2.0 NVIDIA source and its
MIT COLMAP reader; it contains no dataset, weights or proprietary NRE payload.
NRE remains a separately licensed NGC runtime. The new COLMAP ingestion path is
not yet live validated and has no accepted public image release. See
skills/NOTICE-NVIDIA-NCORE-COLMAP and
docs/workbench/guides/nurec-colmap-reconstruct.md. Existing preconverted-NCore
results below do not validate the new conversion path.
When To Use
Load this skill when the user wants to:
- turn a real sensor capture (photographs, multi-camera clips) into a renderable 3D Gaussian scene and render novel views from it;
- run, modify, or debug
npa workbench nurecornpa/src/npa/workbench/nurec/examples/nurec-reconstruct.yaml; - work out why an NCore sequence fails to load in NRE;
- choose the GPU for a reconstruction or rendering job;
- make a reconstruction run show up in the NPA agent's Rerun panel.
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.
- yesterday Changed · +83 lines · +11 tokens per session 4526aa25a68b
- 2d ago Changed · +19 lines 58e845ba993f
- 4d ago Changed e554e318c9e5
- 9d ago First seen · 453 lines · 113 tokens per session scan B 4437561b6ae7
neural-reconstruction is a skill published in the GitHub repository nebius/nebius-physical-ai (29 stars, last pushed today), licensed Apache-2.0. It adds 124 tokens to every session and 8,080 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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