ai-ml-data-science SKILL.md skillA

ai-ml-data-science from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add vasilyu1983/ai-agents-public/ai-ml-data-science@v1.4

Pins v1.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
vasilyu1983/ai-agents-public
Path
skills/universal/ai-ml-data-science/SKILL.md
Versions recorded
2
Latest version
v1.4, committed Oct 16, 2026
First version recorded
Oct 5, 2026
Size
13,904 bytes
Repository stars
101
License
MIT

Builds ML pipelines: EDA, features, leakage checks, evaluation. Use when doing data science or explaining fairness, privacy, speech, vision-language, or diffusion mechanics.

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

# Data Science Engineering Suite

Frame the decision and prediction timestamp before choosing models; features must exist at scoring time.

## Quick Reference

| Need | Default Direction |
|------|-------------------|
| reproducible Python workflow | `uv` plus scripts or git-friendly notebooks (marimo for reactive/diffable notebooks) |
| fast local analysis | DuckDB plus Polars; check installed API against [Polars docs](https://docs.pola.rs/) before adapting older examples |
| data contracts | Pandera or GX Core at dataset boundaries |
| tabular baseline | linear or logistic model plus tree-based candidate; add a tabular foundation model only after the licence and size lookup in `references/modelling-patterns.md` §3.1 |
| feature engineering | explicit train-serve-safe transforms |
| unlabeled text corpus | embed -> UMAP -> HDBSCAN -> c-TF-IDF; use topic-level LLM labels when document-level labels are unnecessary |
| tuning | Optuna only after the baseline is stable |
| evaluation | slices, threshold, calibration, uncertainty |
| handoff | model card, evaluation report, failure modes, monitoring expectations |

## When To Use This Skill
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add vasilyu1983/ai-agents-public/ai-ml-data-science@sha256:1108329cda835b7e

The line at the top of this page pins the label v1.4, 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_4rj2zhqtuuut3b3m.svg)](https://markdownregistry.com/a/art_4rj2zhqtuuut3b3m)

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

Versions

The registry has recorded 2 versions of this file, between Oct 5, 2026 and Oct 16, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
v1.4 latest2026-10-16 0124604 13,904 BA view · diff
v1.32026-10-05 5db538c 13,491 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 (13904 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

vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4rj2zhqtuuut3b3m
GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/ai-ml-data-science
GET https://markdownregistry.com/api/v1/blob/1108329cda835b7e45e6c94704f209d8a72673851abf99d1f92fc082258f4ea8

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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