dataset SKILL.md skillA

dataset 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/dataset@git:20260906.525ee24

Pins git:20260906.525ee24 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/dataset/SKILL.md
Versions recorded
4
Latest version
git:20260906.525ee24, committed Sep 6, 2026
First version recorded
Jul 24, 2026
Size
4,430 bytes
Repository stars
106
License
Apache-2.0

Use when ingesting, validating, curating, or querying production sensor data as a versioned dataset-of-record, or wiring the dataset-ingest-curate workflow.

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

# Dataset (Dataset-of-Record)

A unified ingestion / validation / curation layer that turns raw production
sensor data into a queryable, versioned **dataset-of-record**, filterable by
event, location, and quality. It composes existing primitives (FiftyOne for
curation/visualization, LanceDB for the vector/metadata query index, S3 as the
bus) behind one tool instead of leaving them disconnected.

## Three-access pattern

Source of truth is the FastAPI service (`npa/src/npa/workbench/dataset/service.py`).
The CLI (`npa/src/npa/cli/workbench/dataset.py`) and SDK
(`npa/src/npa/sdk/workbench/dataset.py`) are thin clients. Do not duplicate logic
across layers.

## Interfaces

CLI:

```bash
npa workbench dataset ingest --input-path <s3> --output-path <s3> --dataset-id <id>
npa workbench dataset validate --input-path <s3-manifest> --output-path <s3>
npa workbench dataset curate --input-path <s3-manifest> --output-path <s3> --event <e> --location <l>
npa workbench dataset query --input-path <s3-manifest> --event <e> --location <l>
npa workbench dataset status --dataset-id <id> --version <v>
npa workbench dataset system-info
npa workbench dataset list
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nebius/nebius-physical-ai/dataset@sha256:a01ebdcfb09794af

The line at the top of this page pins the label git:20260906.525ee24, 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_5bjxji5hnxv47sho.svg)](https://markdownregistry.com/a/art_5bjxji5hnxv47sho)

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

Versions

The registry has recorded 4 versions of this file, between Jul 24, 2026 and Sep 6, 2026, about one every 15 days.

versioncommittedcommitsizeaudit
git:20260906.525ee24 latest2026-09-06 525ee24 4,430 BA view · diff
git:20260828.108c3fb2026-08-28 108c3fb 4,450 BA view · diff
git:20260802.5fa17712026-08-02 5fa1771 4,006 BA view · diff
git:20260724.f2982872026-07-24 f298287 3,919 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 (4430 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_5bjxji5hnxv47sho
GET https://markdownregistry.com/api/v1/resolve?ref=nebius/nebius-physical-ai/dataset
GET https://markdownregistry.com/api/v1/blob/a01ebdcfb09794af4062247d9a855ec2e6b8ca853060ca61620cb08634b9f330

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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Every file in nebius/nebius-physical-ai

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