domino-experiment-tracking SKILL.md skillA
domino-experiment-tracking 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-tracking@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-tracking/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261014.681e9c1, committed Oct 14, 2026
- Size
- 5,778 bytes
- Repository stars
- 3
- License
- MIT
Track traditional ML experiments in Domino's MLflow-based Experiment Manager. Covers unique experiment naming, auto-logging for scikit-learn, TensorFlow, PyTorch, XGBoost and LightGBM, manual logging of params, metrics and artifacts, Domino context tags, large-artifact multipart upload, comparing and exporting runs, and the Domino Model Registry (register from a run or by API, versions, aliases and tags, model cards, discoverability). Use when training ML models in Domino, logging metrics and…
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 experiment tracking
Applies to Domino 6.3 and Domino Cloud.
Domino's Experiment Manager is MLflow Tracking with Domino's storage, access control and UI on top. In a Workspace or Job the `mlflow` package is installed (Domino Standard Environments) and `MLFLOW_TRACKING_URI` already points at Domino, so plain MLflow code works without configuration.
## What is Domino-specific
- **Experiments are created in code, not in the UI.** `mlflow.set_experiment(name)` creates it; it appears under **Experiments** only after the first run is logged.
- **Experiment names are unique across the whole deployment**, not per project. Always suffix with something unique, for example the project and the user: `f"churn-{os.environ['DOMINO_PROJECT_NAME']}-{os.environ['DOMINO_STARTING_USERNAME']}"`.
- **Access follows the project**: visibility (Private or Searchable; Domino 6.3 also has Public) and collaborator roles decide who sees runs. Results Consumers can view; Contributors and the owner can log and update; archiving another user's run needs the owner.
…Read the whole file at its exact version.
How to install
mdr add dominodatalab/domino-ai-plugin/domino-experiment-tracking@sha256:6b22cd6f21781964The 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_bddu7ngegxnd7qyh)
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Versions
The registry has recorded 1 version of this file, committed on Oct 14, 2026.
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 (5778 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_bddu7ngegxnd7qyh GET https://markdownregistry.com/api/v1/resolve?ref=dominodatalab/domino-ai-plugin/domino-experiment-tracking GET https://markdownregistry.com/api/v1/blob/6b22cd6f2178196406c117bbe6ab1d5a05ccd44c52ec95f5490dab08fd0c170d
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.