python-mlops skillA
python-mlops is agent-read markdown (skill) from fmind/dot: Build Python ML pipelines: pandas/Pandera, scikit-learn training, MLflow experiments and models, monitoring, and marimo notebooks..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Python MLOps Develop machine learning workflows from exploration to evaluated delivery, grounded in the [four reviewed MLOps repositories](references/sources.md). ## Routing Read only the matching guide. For notebook authoring or reactivity, go directly to marimo; experiment tracking and model delivery are separate tasks. Preserve the project's libraries and notebook format. The reference package illustrates boundaries, not a mandatory architecture. For ML work, establish the prediction target, available data and labels, split policy, success metric, and permitted compute/artifact destinations before running jobs. Training, tracking, registry writes, and promotion have different effects; inspect the selected task's dependencies before execution. ## Task guides <!-- guides:start --> - [experiments](references/experiments.md): Track reproducible MLflow experiments, data lineage, metrics, model signatures, and bounded artifacts. - [marimo](references/marimo.md): Create, debug, convert, and export reactive marimo Python notebooks and apps, including agent pairing. …
Read the whole file at its exact version.
How to install
mdr add fmind/dot/python-mlops@git:20260916.50d6810mdr add fmind/dot/python-mlops@sha256:e4696fdca25ab60bPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_o7tik37mu4rzyo2m)
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Versions
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 (2687 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
fmind/dot · 9 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_o7tik37mu4rzyo2m GET https://markdownregistry.com/api/v1/resolve?ref=fmind/dot/python-mlops GET https://markdownregistry.com/api/v1/blob/e4696fdca25ab60b7273c94a506d0d8748621cad543cd95955127dc44634fcc8
Your agent 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.