mle-workflow SKILL.md skillA

mle-workflow from affaan-m/ecc is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add affaan-m/ecc/mle-workflow@git:20260918.c752aac

Pins git:20260918.c752aac in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
affaan-m/ecc
Path
.agents/skills/mle-workflow/SKILL.md
Versions recorded
3
Latest version
git:20260918.c752aac, committed Sep 18, 2026
First version recorded
May 11, 2026
Size
22,477 bytes
Repository stars
299,696
License
MIT

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

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

# Machine Learning Engineering Workflow

Use this skill to turn model work into a production ML system with clear data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.

## When to Activate

- Planning or reviewing a production ML feature, model refresh, ranking system, recommender, classifier, embedding workflow, or forecasting pipeline
- Converting notebook code into a reusable training, evaluation, batch inference, or online inference pipeline
- Designing model promotion criteria, offline/online evals, experiment tracking, or rollback paths
- Debugging failures caused by data drift, label leakage, stale features, artifact mismatch, or inconsistent training and serving logic
- Adding model monitoring, canary rollout, shadow traffic, or post-deploy quality checks

## Scope Calibration

Use only the lanes that fit the system in front of you. This skill is useful for ranking, search, recommendations, classifiers, forecasting, embeddings, LLM workflows, anomaly detection, and batch analytics, but it should not force one architecture onto all of them.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add affaan-m/ecc/mle-workflow@sha256:9366d2b47d58e6bd

The line at the top of this page pins the label git:20260918.c752aac, 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 badge

[![mdr](https://markdownregistry.com/badge/art_igbchdmjwi6b2bgk.svg)](https://markdownregistry.com/a/art_igbchdmjwi6b2bgk)

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

Versions

The registry has recorded 3 versions of this file, between May 11, 2026 and Sep 18, 2026, about one every 65 days.

versioncommittedcommitsizeaudit
git:20260918.c752aac latest2026-09-18 c752aac 22,477 BA view · diff
git:20260511.ab6e9982026-05-11 ab6e998 22,464 BA view · diff
git:20260511.240d52d2026-05-11 240d52d 22,204 BA 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 (22477 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

affaan-m/ecc · 299,696 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_igbchdmjwi6b2bgk
GET https://markdownregistry.com/api/v1/resolve?ref=affaan-m/ecc/mle-workflow
GET https://markdownregistry.com/api/v1/blob/9366d2b47d58e6bd1b9426d40a36c88efd1ba93919623b5002185cc80be87ecb

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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Every file in affaan-m/ecc

Other files named mle-workflow

mle-workflow SKILL.md skill
affaan-m/ecc · .kiro/skills/mle-workflow/SKILL.md · Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation…
git:20260607.4ad5756 · audit A · 299,696 stars

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