mlflow SKILL.md skillA
mlflow from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add marielynneblock/arcanum-artifex/mlflow@v1.2.0Pins v1.2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- marielynneblock/arcanum-artifex
- Path
skills/data-science/mlflow/SKILL.md- Versions recorded
- 6
- Latest version
- v1.2.0, committed Sep 16, 2026
- First version recorded
- Apr 6, 2026
- Size
- 11,698 bytes
- Repository stars
- 4
- License
- none declared
Design, implement, audit, and troubleshoot MLflow workflows across projects. Use when tracking experiments, comparing runs, recording datasets and lineage, evaluating models, packaging custom pyfunc models, managing model versions and aliases, tracing or evaluating GenAI/RAG/agents, or preparing batch and online inference. Covers classical ML, deep learning, and custom pipelines; Python workflows and R integration guidance; local Windows/WSL, OpenShift 4, and AWS. Emphasises leakage-safe…
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
# MLflow for Senior Data Scientists Use MLflow to make experiments, evaluation evidence, model packages, and release decisions inspectable and reproducible. Adapt to the project's stack and maturity; do not impose an entire platform on a task that only needs a correctly instrumented training loop. ## Operating Contract - Follow project instructions and the host agent's permissions. Ask before destructive actions, production deployments, shared registry alias changes, schema migrations, or access-policy changes. - Inspect existing code, environment locks, tests, experiment conventions, and CI before editing. Reuse the project's framework, orchestration, dependency manager, and logging conventions. - Never request or print credentials. Do not log raw sensitive datasets, prompts, responses, identifiers, credentials, or environment dumps. Review autologging and tracing before enabling them. - Treat downloaded models and serialised artefacts as executable, untrusted inputs. Load only approved artefacts with known provenance; do not disable TLS checks to make a connection work. - Distinguish observed results from proposed commands and untested configurations. Use `[TODO]` …
Read the whole file at its exact version.
How to install
mdr add marielynneblock/arcanum-artifex/mlflow@sha256:e816ebd4bd5aeaebThe line at the top of this page pins the label v1.2.0, 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_k4yqyrubhq7gapq5)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Apr 6, 2026 and Sep 16, 2026, about one every 33 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.2.0 latest | 2026-09-16 | a4276f4 | 11,698 B | A | view · diff |
| v1.0.0 | 2026-07-10 | 0115f49 | 1,247 B | A | view · diff |
| v1.0.0 | 2026-07-10 | ffb3400 | 1,247 B | A | view · diff |
| v1.0.0 | 2026-05-15 | b861afb | 1,109 B | B | view · diff |
| v1.0.0 | 2026-04-11 | 060c294 | 1,211 B | A | view · diff |
| v1.0.0 | 2026-04-06 | 05dff34 | 1,204 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 (11698 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
marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k4yqyrubhq7gapq5 GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/mlflow GET https://markdownregistry.com/api/v1/blob/e816ebd4bd5aeaeb012d027fc86a38a83ce730ab7a73f2e72b31111ae43171ee
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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