atai-newton-omega-model-data-prep SKILL.md skillA
atai-newton-omega-model-data-prep from archetypeai/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add archetypeai/agent-skills/atai-newton-omega-model-data-prep@git:20261001.a0b5603Pins git:20261001.a0b5603 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- archetypeai/agent-skills
- Path
skills/atai-newton-omega-model-data-prep/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261001.a0b5603, committed Oct 1, 2026
- First version recorded
- Jun 10, 2026
- Size
- 11,947 bytes
- Repository stars
- 7
- License
- Apache-2.0
Clean, split, and featurize multivariate time-series data before embedding it with the Omega model. Bundles three reusable building blocks: `DataPreprocessor` (diagnose timestamp regularity, gaps, and nulls; build continuous gap-aware temporal blocks with imputation), `DataSplitter` (out-of-time or random train/test split that respects temporal order), and `FeaturePreparer` (pivot per-sensor embeddings into a "joint state" (X, y, metadata) matrix with optional L2 / standardization / PCA). Use…
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
# Newton Data Prep — Clean → Split → Featurize A pre-modeling pipeline for time-series sensor data. Three composable building blocks that take a raw multivariate dataframe and hand back the `(X, y, metadata)` arrays a downstream KNN / Isolation Forest classifier expects. > **Origin.** The three vendored scripts originated from work by Lucas (Solutions Engineering) and have been used end-to-end in real prep pipelines. The repo copy is the source of truth — ping Lucas if you need to pull in a newer revision. ## When to Apply - User has raw multivariate sensor CSVs (1+ sensors, irregular timestamps, NaN gaps) and is about to embed them with [`atai-newton-omega-model`](../atai-newton-omega-model/SKILL.md), and needs to clean the data first. - User asks "should I drop rows with NaNs?" / "how do I handle gaps?" / "what's a good train/test split for time-series?" - User's classifier is suspiciously good or suspiciously bad and you suspect temporal leakage — `DataSplitter(mode='oot')` is the fix. - User has per-sensor embeddings (from the Omega model) and needs to fold them into a single feature matrix for KNN — that's `FeaturePreparer`. …
Read the whole file at its exact version.
How to install
mdr add archetypeai/agent-skills/atai-newton-omega-model-data-prep@sha256:30c7301bffb21470The line at the top of this page pins the label git:20261001.a0b5603, 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_bh3wwey3fdxcn5ru)
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Versions
The registry has recorded 5 versions of this file, between Jun 10, 2026 and Oct 1, 2026, about one every 28 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261001.a0b5603 latest | 2026-10-01 | a0b5603 | 11,947 B | A | view · diff |
| git:20260623.3fc75e7 | 2026-06-23 | 3fc75e7 | 11,455 B | A | view · diff |
| git:20260610.f4fcd40 | 2026-06-10 | f4fcd40 | 12,029 B | A | view · diff |
| git:20260610.7510f0e | 2026-06-10 | 7510f0e | 11,928 B | A | view · diff |
| git:20260610.5f0ed00 | 2026-06-10 | 5f0ed00 | 11,696 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 (11947 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
archetypeai/agent-skills · 7 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bh3wwey3fdxcn5ru GET https://markdownregistry.com/api/v1/resolve?ref=archetypeai/agent-skills/atai-newton-omega-model-data-prep GET https://markdownregistry.com/api/v1/blob/30c7301bffb214705b95c7bf8158ccaf2908e752c0f60675c3b085c49d2ada71
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.