ml4t-feature-store skillA
ml4t-feature-store is agent-read markdown (skill) from ml4t/skills: Organize computed features in versioned storage with schema enforcement and point-in-time retrieval. Use when persisting features for reproducible ML experiments or sharing across pipelines..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Feature Store
Scattered CSV files with undocumented columns create silent schema drift - yesterday's `momentum` column used a 60-day window, today's uses 20 days, and nothing recorded the change. A structured feature store prevents this.
## The Problem
Without versioned storage, feature definitions drift silently. A researcher recomputes features with different parameters, overwrites the file, and downstream models train on inconsistent data. Point-in-time correctness is also lost: loading features "as of January 2024" returns data that was computed using information from March 2024.
## The Pattern
### WRONG
```python
import polars as pl
# Unversioned, unstructured, no metadata - silent drift guaranteed
features.write_csv("features.csv") # What version? What parameters? When computed?
# Later: someone overwrites with different parameters
features_v2.write_csv("features.csv") # Old version gone forever
```
### CORRECT
```python
import polars as pl
import json
from pathlib import Path
from datetime import datetime
def save_features(
df: pl.DataFrame, name: str, version: str,
store_path: Path, params: dict,
) -> Path:
…Read the whole file at its exact version.
How to install
mdr add ml4t/skills/ml4t-feature-store@git:20260901.c415df0mdr add ml4t/skills/ml4t-feature-store@sha256:20ac56c08129a394Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ida7gbqqofpkox5i)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260901.c415df0 latest | 2026-09-01 | c415df0 | 4,736 B | A | view · diff |
| git:20260528.303089e | 2026-05-28 | 303089e | 4,750 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 (4736 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 · 19 stars · license Apache-2.0 · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ida7gbqqofpkox5i GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/ml4t-feature-store GET https://markdownregistry.com/api/v1/blob/20ac56c08129a394f3eab712f22a0845b12069205b00c3b211b988b1875ce6ad
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