ml4t-case-study-development SKILL.md skillA
ml4t-case-study-development from ml4t/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ml4t/skills/ml4t-case-study-development@git:20260901.c415df0Pins 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
workflows/case-study-development/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260901.c415df0, committed Sep 1, 2026
- First version recorded
- May 28, 2026
- Size
- 5,424 bytes
- Repository stars
- 41
- License
- Apache-2.0
Stage-gated research workflow from hypothesis through data prep, feature engineering, modeling, and backtest. Use when developing a trading strategy end-to-end with disciplined gate checks.
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 Development Workflow
A case study is not just a pipeline; it is a sequence of research decisions. Clean artifacts are necessary, but the real question is whether each stage earned the right to move to the next one.
## The Problem
A researcher puts data loading, feature engineering, model training, and backtesting in a single notebook. It runs once and produces a Sharpe ratio. Later, they change the label horizon and must re-run everything. The model section silently reads stale features. The backtest uses predictions from a previous run. Nobody knows which config produced the final result. The pipeline is unreproducible and the results are untrustworthy.
## The Pattern
### WRONG
```python
import lightgbm as lgb
import polars as pl
# Everything in one notebook - no artifact boundaries, no config
data = pl.read_parquet("etf_data.parquet")
features = data.select(["momentum_12m", "volatility_20d"])
labels = data["close"].pct_change(21).shift(-21)
model = lgb.LGBMRegressor().fit(features, labels) # Full-sample train!
predictions = model.predict(features)
# Backtest on training predictions with no cost model
cumulative_return = (predictions * labels).cumsum()
…Read the whole file at its exact version.
How to install
mdr add ml4t/skills/ml4t-case-study-development@sha256:86a4927cf91df2d0The 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.
[](https://markdownregistry.com/a/art_7w5oxhgjeyjxmopx)
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.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260901.c415df0 latest | 2026-09-01 | c415df0 | 5,424 B | A | view · diff |
| git:20260528.303089e | 2026-05-28 | 303089e | 5,398 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 (5424 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
ml4t/skills · 41 stars · license Apache-2.0 · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7w5oxhgjeyjxmopx GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/ml4t-case-study-development GET https://markdownregistry.com/api/v1/blob/86a4927cf91df2d078297138b2e90220addaf437e9e740069d373b96186361fc
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.