ray-workbench SKILL.md skillA

ray-workbench 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/ray-workbench@git:20260909.3f06aa7

Pins git:20260909.3f06aa7 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/ray-workbench/SKILL.md
Versions recorded
1
Latest version
git:20260909.3f06aa7, committed Sep 9, 2026
Size
3,133 bytes
Repository stars
106
License
Apache-2.0

Choose and operate the supported Ray paths in Nebius Physical AI: native Jobs/Core development, guarded Train V2, Cosmos3 native Serve, or Fleet KubeRay.

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

# Ray in Workbench

Start with the [consolidated guide](../../../docs/workbench/ray.md). Use this
skill to route a Ray request to behavior that current code actually supports.

## Route the request

- Native Jobs or Ray Core GPU development: use
  `docs/testing/fast-source-iteration.md` and the guarded CLIP application under
  `npa/workflows/workbench/ray-clip-development/`.
- Ray Train: load `skills/tools/ray-train-synthetic/SKILL.md`. The shipped path
  is a synthetic Ray Train V2 application submitted through native Jobs, not an
  NPA Train service or workflow.
- Ray Serve: load `skills/tools/cosmos3-ray-serve/SKILL.md`. Only Cosmos3-Nano
  has a first-class native Ray Serve path.
- KubeRay: load `skills/tools/fleet/SKILL.md`. Fleet supports only the reviewed,
  fixed CPU RayCluster policy documented in `docs/fleet-kuberay.md`.
- Ray Data or Ray Tune: state that no first-class Workbench recipe, CLI, service,
  workflow, or artifact contract exists. A trusted user may submit their own Ray
  application through a supported native Jobs environment; do not imply that
  this makes Data or Tune a supported Workbench capability.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nebius/nebius-physical-ai/ray-workbench@sha256:d713521ec284db7b

The line at the top of this page pins the label git:20260909.3f06aa7, 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_g3zhdq6anrq5bgup.svg)](https://markdownregistry.com/a/art_g3zhdq6anrq5bgup)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 9, 2026.

versioncommittedcommitsizeaudit
git:20260909.3f06aa7 latest2026-09-09 3f06aa7 3,133 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 (3133 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_g3zhdq6anrq5bgup
GET https://markdownregistry.com/api/v1/resolve?ref=nebius/nebius-physical-ai/ray-workbench
GET https://markdownregistry.com/api/v1/blob/d713521ec284db7b4b867004be404651607053918bf14eed3388e8b089f3ec3a

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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