gpu-selection SKILL.md skillA

gpu-selection 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/gpu-selection@git:20261003.c2d395c

Pins git:20261003.c2d395c 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/atomic/gpu-selection/SKILL.md
Versions recorded
6
Latest version
git:20261003.c2d395c, committed Oct 3, 2026
First version recorded
Aug 2, 2026
Size
5,330 bytes
Repository stars
106
License
Apache-2.0

Use when choosing or reviewing GPU targets for NPA workbench tools, training, rendering, inference, or workflow YAML resources.

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

# GPU Selection

## When To Use

Use this skill when a task asks which GPU family to use, changes workflow
resources, updates image routing, or reviews render/training placement.

## Procedure

1. Identify whether the workload needs RT cores, tensor throughput, multi-GPU
   scaling, or only CPU resources.
2. Check the tool-specific skill for hard constraints.
3. Encode the choice in CLI flags, SDK config, or workflow YAML env/resources.
4. Keep image variants aligned with GPU selection.
5. For direct-Kubernetes Jobs, discover `nvidia.com/gpu.product` labels and
   construct an ordered, compatible candidate list. Move to the next product
   only for concrete scheduler evidence (`Unschedulable`, insufficient GPU
   resource, or no matching product/affinity); runtime, pull, credential,
   checkpoint, and application failures are not placement failures.

## Three-Tier Contract

- CLI: commands expose GPU choices through flags such as `--gpu-type`,
  `--gpu-preset`, `--runtime`, or tool-specific image variant options.
- SDK: runtime config and request builders should carry GPU type/count rather
  than deriving it from private environment names.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nebius/nebius-physical-ai/gpu-selection@sha256:c04f57fe58dfb512

The line at the top of this page pins the label git:20261003.c2d395c, 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_xuewo42uv5fcpnix.svg)](https://markdownregistry.com/a/art_xuewo42uv5fcpnix)

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

Versions

The registry has recorded 6 versions of this file, between Aug 2, 2026 and Oct 3, 2026, about one every 12 days.

versioncommittedcommitsizeaudit
git:20261003.c2d395c latest2026-10-03 c2d395c 5,330 BA view · diff
git:20260817.6860d2d2026-08-17 6860d2d 4,788 BA view · diff
git:20260813.a1cc4ea2026-08-13 a1cc4ea 4,647 BA view · diff
git:20260812.d36a8f92026-08-12 d36a8f9 3,700 BA view · diff
git:20260803.38398ce2026-08-03 38398ce 3,205 BA view · diff
git:20260802.d3490b62026-08-02 d3490b6 3,036 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 (5330 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_xuewo42uv5fcpnix
GET https://markdownregistry.com/api/v1/resolve?ref=nebius/nebius-physical-ai/gpu-selection
GET https://markdownregistry.com/api/v1/blob/c04f57fe58dfb512ebfcad377934a58ead0c7a573bc5c016a403881ff3e745ca

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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