ml4t-validate-data SKILL.md skillA
ml4t-validate-data 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-validate-data@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
data/validate-data/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260901.c415df0, committed Sep 1, 2026
- First version recorded
- May 28, 2026
- Size
- 4,256 bytes
- Repository stars
- 41
- License
- Apache-2.0
Systematic data quality validation before modeling. Use when checking for gaps, outliers, stale prices, or schema violations in datasets.
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
# Validate Data
Unvalidated data silently corrupts models - a single unadjusted stock split can make a momentum signal look 10x stronger than reality.
## The Problem
Financial data arrives with missing values, duplicate timestamps, unadjusted corporate actions, stale prices, and impossible OHLC relationships. Using raw data without checks means your model trains on artifacts. A 50% overnight return that is actually a 2:1 split will dominate any feature that touches price changes. You will not see this in your loss function - the model happily fits the noise.
## The Pattern
### WRONG
```python
import polars as pl
# Trust the data, start modeling immediately
df = pl.read_parquet("prices.parquet")
features = df.with_columns(ret=pl.col("close").pct_change())
model.fit(features) # Trained on splits, gaps, duplicates
```
### CORRECT
```python
import polars as pl
def validate_ohlcv(df: pl.DataFrame) -> dict[str, int]:
"""Run standard OHLCV quality checks. Returns issue counts."""
issues = {}
# OHLC consistency: high >= low, close within [low, high]
issues["high_lt_low"] = df.filter(pl.col("high") < pl.col("low")).height
…Read the whole file at its exact version.
How to install
mdr add ml4t/skills/ml4t-validate-data@sha256:50a64b8bbbcc161bThe 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_nig5djubjaarfsoz)
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 | 4,256 B | A | view · diff |
| git:20260528.303089e | 2026-05-28 | 303089e | 4,266 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 (4256 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_nig5djubjaarfsoz GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/ml4t-validate-data GET https://markdownregistry.com/api/v1/blob/50a64b8bbbcc161b8cd5f781f55062722874ef76b83c9f237e46fde9c9c15ade
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.