cosmos3-nano-sim-auto-inference SKILL.md skillA

cosmos3-nano-sim-auto-inference from nvidia/cosmos-framework is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia/cosmos-framework/cosmos3-nano-sim-auto-inference@git:20261021.a2a7409

Pins git:20261021.a2a7409 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia/cosmos-framework
Path
.agents/skills/cosmos3-nano-sim-auto/inference/SKILL.md
Versions recorded
2
Latest version
git:20261021.a2a7409, committed Oct 21, 2026
First version recorded
Oct 21, 2026
Size
7,653 bytes
Repository stars
589
License
a license file GitHub does not identify

Prepare inputs or run Cosmos3-Nano-Sim-Auto camera-only or joint camera/LiDAR generation with a released or exported student in Cosmos Framework. Check causal conditioning, per-camera captions, rolling metadata and saved outputs.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Run inference with Cosmos3-Nano-Sim-Auto

Use the four-step causal student to generate synchronized camera views and
optional LiDAR from initial RGB, per-camera captions and WSM/HD-map controls.

The released model is optimized for the reference camera rig. You can try a
custom rig, but camera geometry differences can degrade quality. Follow the
[reference-rig retargeting or custom-rig workflow](../../cosmos3-nano-transfer-auto/inference/references/input-preparation.md#choose-reference-rig-or-custom-rig-generation).
Retargeting WSM does not reproject initial RGB images. For adaptation, fine-tune
Transfer-Auto on your rig's paired data, then distill it into Sim-Auto.

## Start here

- **New rig:** compare it with the reference cameras in
  [Camera Rig Explorer](../../cookbooks/cosmos3/simulation/auto/wsm/docs/camera-rig/guide.md), then follow the
  shared [camera-to-embedding mapping](../../cosmos3-nano-transfer-auto/inference/references/input-preparation.md#2-map-physical-cameras-to-learned-identities).
  Map each camera to the closest supported identity and keep RGB, WSM and caption
  assignments consistent. For domain/rig adaptation, post-train Transfer-Auto
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/cosmos-framework/cosmos3-nano-sim-auto-inference@sha256:d1f888e78d0b29c9

The line at the top of this page pins the label git:20261021.a2a7409, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_jzosqciaeg7j4h3k.svg)](https://markdownregistry.com/a/art_jzosqciaeg7j4h3k)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Oct 21, 2026.

versioncommittedcommitsizeaudit
git:20261021.a2a7409 latest2026-10-21 a2a7409 7,653 BA view · diff
git:20261021.7e918d72026-10-21 7e918d7 7,712 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7653 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia/cosmos-framework · 589 stars · license a license file GitHub does not identify · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jzosqciaeg7j4h3k
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/cosmos-framework/cosmos3-nano-sim-auto-inference
GET https://markdownregistry.com/api/v1/blob/d1f888e78d0b29c92b720bd0a2d0969daa787e01aa754e51c9394c4010cc55ba

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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