groot SKILL.md skillA

groot from nebius/nebius-physical-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nebius/nebius-physical-ai/groot@git:20261010.bdc1150

Pins git:20261010.bdc1150 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nebius/nebius-physical-ai
Path
skills/tools/groot/SKILL.md
Versions recorded
6
Latest version
git:20261010.bdc1150, committed Oct 10, 2026
First version recorded
Jul 3, 2026
Size
6,190 bytes
Repository stars
106
License
Apache-2.0

Use when working on NVIDIA GR00T deployment, model download, finetuning, evaluation, serving, inference, conversion, status checks, validation, routing, or CUDA alignment.

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

# GR00T

## When To Use

Use this skill for NVIDIA GR00T robot foundation model workbench changes,
especially NGC/Hugging Face model handling, embodiment tags, checkpoint
conversion, serving, inference, and validation.

## Procedure

1. Start with the current command surface:

   ```bash
   npa workbench groot --help
   ```

2. Use `download` to stage model artifacts and credentials, `finetune` for
   training, `eval` for offline scoring, `serve` and `infer` for runtime calls,
   and `convert` when transforming checkpoints for downstream use.
   For declarative N1.7 training, use
   `workflows/main/groot-1-7-finetune.yaml`; its
   `gpu_count` is a positive single-node world size that controls both the
   scheduler allocation and the real trainer.
3. Use `status`, `system-info`, and `list` for operational checks. Keep
   `ensure-ingress`, `register-byovm`, `reload-env`, and `cleanup-partial`
   scoped to setup and recovery flows.
4. Preserve credential redaction for NGC, Hugging Face, S3, and SSH values.
5. Before deploy provisions or updates anything, validate actual Hugging Face
   access to both the selected GR00T checkpoint and its runtime-fetched
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nebius/nebius-physical-ai/groot@sha256:0a062afddc763cf8

The line at the top of this page pins the label git:20261010.bdc1150, 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_4uswodo6zpiqxchx.svg)](https://markdownregistry.com/a/art_4uswodo6zpiqxchx)

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

Versions

The registry has recorded 6 versions of this file, between Jul 3, 2026 and Oct 10, 2026, about one every 20 days.

versioncommittedcommitsizeaudit
git:20261010.bdc1150 latest2026-10-10 bdc1150 6,190 BA view · diff
git:20260906.525ee242026-09-06 525ee24 6,193 BA view · diff
git:20260816.e559cfe2026-08-16 e559cfe 6,213 BA view · diff
git:20260813.941e6082026-08-13 941e608 5,540 BA view · diff
git:20260802.1b81cb82026-08-02 1b81cb8 4,771 BA view · diff
git:20260703.774344b2026-07-03 774344b 2,695 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 (6190 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

nebius/nebius-physical-ai · 106 stars · license Apache-2.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4uswodo6zpiqxchx
GET https://markdownregistry.com/api/v1/resolve?ref=nebius/nebius-physical-ai/groot
GET https://markdownregistry.com/api/v1/blob/0a062afddc763cf8248084932e232de54e6418c4243e10fe59a26609562f4047

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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