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dotnet-mlnet SKILL.md skillA

dotnet-mlnet from postpartum-genushyacinthus29/dotnet-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add postpartum-genushyacinthus29/dotnet-skills/dotnet-mlnet@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: postpartum-genushyacinthus29/dotnet-skills
Path: skills/dotnet-mlnet/SKILL.md
Versions recorded: 2
Latest version: v1.0.0, committed Mar 15, 2026
First version recorded: Mar 15, 2026
Size: 1,905 bytes
Repository stars: 13
License: MIT

Use ML.NET to train, evaluate, or integrate machine-learning models into .NET applications with realistic data preparation, inference, and deployment expectations.

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

# ML.NET

## Trigger On

- integrating machine learning into a .NET application
- training or retraining ML.NET models from local data
- reviewing inference pipelines, model loading, or AutoML-generated code

## Workflow

1. Start from the prediction task and data quality, not the algorithm or package list.
2. Separate training code from inference code so the production path stays lean and predictable.
3. Review feature engineering, normalization, label quality, and evaluation metrics before trusting model output.
4. Use Model Builder or the ML.NET CLI when they speed up exploration, but inspect the generated C# before treating it as production architecture.
5. Plan how the model is loaded, versioned, and refreshed in the application lifecycle.
6. Validate with representative datasets and explicit evaluation, not only with a sample that happens to run.

## Deliver

- ML.NET pipelines that fit the prediction task
- production-usable inference integration
- evaluation evidence tied to the business scenario

## Validate

- model quality is measured, not assumed
- training and inference responsibilities are separated
- deployment and versioning expectations are explicit

## References
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add postpartum-genushyacinthus29/dotnet-skills/dotnet-mlnet@sha256:18f285cd02ad59cb

The line at the top of this page pins the label v1.0.0, 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.

Badge

[![mdr](https://markdownregistry.com/badge/art_vqv5vxppvs7aloyl.svg)](https://markdownregistry.com/a/art_vqv5vxppvs7aloyl)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Mar 15, 2026.

version	committed	commit	size	audit
v1.0.0 latest	2026-03-15	bd48dea	1,905 B	A	view · diff
v1.0.0	2026-03-15	117f7ac	1,521 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (1905 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

GitHub

postpartum-genushyacinthus29/dotnet-skills · 13 stars · license MIT · pushed 2026-10-13 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vqv5vxppvs7aloyl
GET https://markdownregistry.com/api/v1/resolve?ref=postpartum-genushyacinthus29/dotnet-skills/dotnet-mlnet
GET https://markdownregistry.com/api/v1/blob/18f285cd02ad59cb0d0c37d9658169814e5256ff8612ff1285c9417d2ab27d6a

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.