ml4t-case-study-pipeline SKILL.md skillA

ml4t-case-study-pipeline from ml4t/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ml4t/skills/ml4t-case-study-pipeline@git:20260901.c415df0

Pins git:20260901.c415df0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ml4t/skills
Path
infrastructure/case-study-pipeline/SKILL.md
Versions recorded
2
Latest version
git:20260901.c415df0, committed Sep 1, 2026
First version recorded
May 28, 2026
Size
5,919 bytes
Repository stars
41
License
Apache-2.0

Filesystem and artifact-contract pattern for reproducible case studies. Use when organizing a research project for reproducibility and collaboration.

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

# Case Study Artifact Pipeline

Ad-hoc notebooks that load data, compute features, train models, and backtest in one file are impossible to debug, reproduce, or extend. This skill is about artifact boundaries and rerun rules, not about whether the research thesis is good.

## The Problem

A quant writes a 500-line notebook that downloads data, engineers features, trains a model, and runs a backtest. It works once. Then: the data source changes, a feature is added, the model is retrained with different parameters, and the backtest uses stale predictions from the old model. Nobody can tell which outputs correspond to which inputs. The notebook becomes untouchable - too risky to change, too opaque to trust.

## The Pattern

### WRONG
```python
# Monolithic notebook - everything in one file, no artifact boundaries
import polars as pl
from sklearn.linear_model import Ridge

prices = pl.read_parquet("prices.parquet")
prices = prices.with_columns(
    fwd_ret=pl.col("close").pct_change(21).shift(-21).over("symbol"),
    momentum=pl.col("close").pct_change(63).over("symbol"),
    volatility=pl.col("close").pct_change().rolling_std(21).over("symbol"),
)
prices = prices.drop_nulls()
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ml4t/skills/ml4t-case-study-pipeline@sha256:fcac2876c9db88b4

The line at the top of this page pins the label git:20260901.c415df0, 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_cbax3csiltkogrow.svg)](https://markdownregistry.com/a/art_cbax3csiltkogrow)

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

Versions

The registry has recorded 2 versions of this file, between May 28, 2026 and Sep 1, 2026, about one every 96 days.

versioncommittedcommitsizeaudit
git:20260901.c415df0 latest2026-09-01 c415df0 5,919 BA view · diff
git:20260528.303089e2026-05-28 303089e 5,931 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 (5919 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

ml4t/skills · 41 stars · license Apache-2.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cbax3csiltkogrow
GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/ml4t-case-study-pipeline
GET https://markdownregistry.com/api/v1/blob/fcac2876c9db88b4212ef0aee271ec4700c0c9fa47be8db620a52f9be0664227

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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