domino-datasets SKILL.md skillA

domino-datasets from dominodatalab/domino-ai-plugin is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add dominodatalab/domino-ai-plugin/domino-datasets@git:20261014.681e9c1

Pins git:20261014.681e9c1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
dominodatalab/domino-ai-plugin
Path
skills/domino-datasets/SKILL.md
Versions recorded
1
Latest version
git:20261014.681e9c1, committed Oct 14, 2026
Size
7,993 bytes
Repository stars
3
License
MIT

Create, upload to, mount and read a Domino Dataset; take, list, read or restore (copy to a new Dataset) a snapshot; tag snapshots; share a Dataset with another Project or user. Covers mount paths (/domino/datasets/local/<name> in DFS Projects, /mnt/data/<name> in Git-based Projects), the UI and domino CLI steps, and the /api/datasetrw REST routes with request bodies, including how to read a snapshot you just took from the same run. Use whenever a task mentions a Dataset, a snapshot, a dataset…

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

# Domino Datasets

Applies to Domino 6.3 and Domino Cloud.

A Dataset is Domino-managed, versioned filesystem storage. Executions mount it as an ordinary
directory: live data is read-write for Dataset Owners and Editors, read-only for Readers, and
every snapshot is a read-only directory beside it. Sharing is zero-copy; Domino sets no size or
file-count cap. Object storage: domino-data-sdk skill; NetApp ONTAP: netapp-volumes skill.

## Paths

| | DFS Project | Git-based Project |
|---|---|---|
| Dataset of this Project (RW) | `/domino/datasets/local/<name>` | `/mnt/data/<name>` |
| Its snapshots (RO) | `/domino/datasets/local/snapshots/<name>/<n>` and `/<tag>` | `/mnt/data/snapshots/<name>/<n>` and `/<tag>` |
| Dataset shared from another Project | `/domino/datasets/<name>` | `/mnt/imported/data/<name>` |
| Its snapshots (RO) | `/domino/datasets/snapshots/<name>/<n>` and `/<tag>` | `/mnt/imported/data/snapshots/<name>/<n>` and `/<tag>` |

`<n>` is the snapshot number, `<tag>` the most recently added tag. Every Project starts with a
default Dataset named after the Project (`/mnt/data/churn` Git-based, `/domino/datasets/local/churn`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add dominodatalab/domino-ai-plugin/domino-datasets@sha256:35eaf82c6172ba1d

The line at the top of this page pins the label git:20261014.681e9c1, 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_vc2curie44ddetyb.svg)](https://markdownregistry.com/a/art_vc2curie44ddetyb)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 14, 2026.

versioncommittedcommitsizeaudit
git:20261014.681e9c1 latest2026-10-14 681e9c1 7,993 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 (7993 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

dominodatalab/domino-ai-plugin · 3 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vc2curie44ddetyb
GET https://markdownregistry.com/api/v1/resolve?ref=dominodatalab/domino-ai-plugin/domino-datasets
GET https://markdownregistry.com/api/v1/blob/35eaf82c6172ba1d5120fb4d4980eb9f0f8fd37a73e4fead91bfd9685f2891e2

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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