domino-data-sdk SKILL.md skillA
domino-data-sdk from dominodatalab/domino-ai-plugin is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add dominodatalab/domino-ai-plugin/domino-data-sdk@git:20261016.481c131Pins git:20261016.481c131 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-data-sdk/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261016.481c131, committed Oct 16, 2026
- First version recorded
- Oct 1, 2026
- Size
- 7,958 bytes
- Repository stars
- 3
- License
- MIT
Use the domino-data Python library (PyPI dominodatalab-data, import domino_data) for programmatic data access inside Domino executions. Covers DataSourceClient for SQL queries and object-store reads and writes against Domino Data Sources, DatasetClient for reading Domino Dataset files and snapshots, TrainingSets for versioned training DataFrames, and the Pinecone helpers in domino_data.vectordb. Use when querying a Data Source from Python, downloading Dataset files by API, creating or loading…
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 Data SDK (domino-data) Applies to Domino 6.3 and Domino Cloud. `dominodatalab-data` is the Python half of the Domino Data API. It talks to the Data Source proxy that Domino injects into every execution, so the Data Source credentials stay with the Data Source, managed by Domino, and never appear in code. Docs: https://docs.domino.ai/cloud/reference/api/data_api (same path under `/6.3/`). Source: https://github.com/dominodatalab/domino-data. Requires `dominodatalab-data>=6.7.4`; 6.7.4 needs Python 3.10 or later. ## Install Pre-installed in Domino Standard Environments. In a custom environment Dockerfile: ```dockerfile USER root RUN python -m pip install "dominodatalab[data]" "dominodatalab-data>=6.7.4" USER ubuntu ``` The `[data]` extra alone only requires `dominodatalab-data>=0.1.0`, so name the floor explicitly or an older preinstalled copy stays. Two import styles work: `from domino_data.data_sources import DataSourceClient` (the package) or `from domino.data_sources import DataSourceClient` (python-domino re-exports it when the `[data]` extra is installed; `domino.training_sets` exposes the client as `TrainingSetClient`). ## Modules …
Read the whole file at its exact version.
How to install
mdr add dominodatalab/domino-ai-plugin/domino-data-sdk@sha256:e7d7490e5e1d71dcThe line at the top of this page pins the label git:20261016.481c131, 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.
[](https://markdownregistry.com/a/art_zeyd6or5nz5tld2e)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Oct 1, 2026 and Oct 16, 2026, about one every 8 days. Its first recorded version is graded B and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261016.481c131 latest | 2026-10-16 | 481c131 | 7,958 B | A | view · diff |
| git:20261014.681e9c1 | 2026-10-14 | 681e9c1 | 7,724 B | A | view · diff |
| git:20261001.b18ac39 | 2026-10-01 | b18ac39 | 5,699 B | B | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7958 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
dominodatalab/domino-ai-plugin · 3 stars · license MIT · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zeyd6or5nz5tld2e GET https://markdownregistry.com/api/v1/resolve?ref=dominodatalab/domino-ai-plugin/domino-data-sdk GET https://markdownregistry.com/api/v1/blob/e7d7490e5e1d71dc387c68f4f2d7de3bc506d440484ef9d35370aafba18266c3
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.