domino-experiment-setup SKILL.md skillA
domino-experiment-setup 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-experiment-setup@git:20261014.681e9c1Pins 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-experiment-setup/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261014.681e9c1, committed Oct 14, 2026
- First version recorded
- Oct 1, 2026
- Size
- 3,428 bytes
- Repository stars
- 3
- License
- MIT
Set up MLflow experiment tracking in a Domino project by generating an experiment_setup.py helper with deployment-unique experiment names, Domino context tags, and framework auto-logging, plus an example training script. Use when the user asks to add or set up experiment tracking, MLflow logging, or autologging for a traditional ML project in Domino.
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
# Set Up Domino Experiment Tracking Applies to Domino 6.3 and Domino Cloud. Add MLflow experiment tracking to a traditional ML project. For LLM or agent tracing, use the `domino-trace-setup` skill instead. ## Inputs 1. **Experiment base name**: use the one the user gave; otherwise use the project directory name. 2. **ML frameworks**: detect them from `requirements.txt`, `pyproject.toml`, `environment.yml`, or imports in the code. Do not stop to ask for either. Make the changes with these defaults, then state the base name and frameworks you used in the reply so the user can change them. ## Steps 1. Copy `assets/experiment_setup.py` from this skill's folder into the project. It provides: - `setup_experiment(base_name)`: sets an experiment named `<base>-<project>-<username>`. - `log_domino_context()`: tags the run with the Domino user, project, run ID, run number, and hardware tier id (`DOMINO_HARDWARE_TIER_ID`). - `setup_autolog()`: enables MLflow autologging for whichever supported frameworks are installed. 2. Report which frameworks were detected and will be autologged, for example: ``` Detected frameworks: ✅ scikit-learn (requirements.txt) …
Read the whole file at its exact version.
How to install
mdr add dominodatalab/domino-ai-plugin/domino-experiment-setup@sha256:863de3791ff657deThe 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.
[](https://markdownregistry.com/a/art_kl6ubek5uby6fifs)
1 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 14, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261014.681e9c1 latest | 2026-10-14 | 681e9c1 | 3,428 B | A | view · diff |
| git:20261002.4b996ca | 2026-10-02 | 4b996ca | 3,385 B | A | view · diff |
| git:20261001.b8e8054 | 2026-10-01 | b8e8054 | 3,074 B | A | 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 (3428 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_kl6ubek5uby6fifs GET https://markdownregistry.com/api/v1/resolve?ref=dominodatalab/domino-ai-plugin/domino-experiment-setup GET https://markdownregistry.com/api/v1/blob/863de3791ff657de3bc4a496930c9f7812a8b36f772c9d739ff0c5c9c2eef0a3
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.