atai-newton-omega-model SKILL.md skillB
atai-newton-omega-model 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@git:20261019.153f693Pins git:20261019.153f693 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- archetypeai/agent-skills
- Path
skills/atai-newton-omega-model/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261019.153f693, committed Oct 19, 2026
- First version recorded
- Jun 12, 2026
- Size
- 13,342 bytes
- Repository stars
- 7
- License
- Apache-2.0
Get time-series embeddings from Archetype AI's Omega encoder (`OmegaEncoder::omega_embeddings_1_4`) over the prod `/query` endpoint — send a window of sensor readings, get back a fixed-size vector per channel, no batch job and no session. Use this skill when the user wants to embed multivariate sensor windows (vibration, flow, pressure, network, etc.) for lightweight downstream ML — KNN classification, anomaly scoring, similarity search, or 2D projection — done client-side over the embeddings.…
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 Omega Encoder — Time-Series Embeddings via `/query` Omega is a **time-series encoder**: feed it a window of sensor readings, get back a fixed-size embedding you can do ML on. This skill calls the cloud Omega model on the same `/query` endpoint as the Newton fusion model — one stateless POST per window, embeddings back, no batch job or session lifecycle. ## When to Apply - Embed multivariate sensor windows (vibration, pressure, flow, network, …) into vectors - Build lightweight downstream ML over those vectors **client-side**: KNN classification, anomaly scoring, similarity search, PCA/UMAP projection - Prototype classification without standing up the managed batch pipeline **Do not use this skill when:** - The input is text, an image, or a video — that's the Newton fusion model (`/query` with `Newton::c2_6_8b_fp8_...`) - You need fully-managed, server-side classification over millions of rows For preparing the raw sensor CSVs (timestamp regularity, gap-aware blocks, temporal-order train/test split, the joint-state feature matrix), see [`atai-newton-omega-model-data-prep`](../atai-newton-omega-model-data-prep/SKILL.md). ## The Model ``` …
Read the whole file at its exact version.
How to install
mdr add archetypeai/agent-skills/atai-newton-omega-model@sha256:6c809dff4656ed8cThe line at the top of this page pins the label git:20261019.153f693, 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_k4sloef65vxmkpfz)
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Versions
The registry has recorded 5 versions of this file, between Jun 12, 2026 and Oct 19, 2026, about one every 32 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261019.153f693 latest | 2026-10-19 | 153f693 | 13,342 B | B | view · diff |
| git:20260617.b1dc410 | 2026-06-17 | b1dc410 | 13,334 B | B | view · diff |
| git:20260612.2501d1e | 2026-06-12 | 2501d1e | 13,232 B | B | view · diff |
| git:20260612.8aaf504 | 2026-06-12 | 8aaf504 | 13,173 B | B | view · diff |
| git:20260612.7b61c55 | 2026-06-12 | 7b61c55 | 11,977 B | B | view |
Audit of the latest version
- fail: No instruction to read or print local credentials (matched: cat > .env)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13342 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 base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
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_k4sloef65vxmkpfz GET https://markdownregistry.com/api/v1/resolve?ref=archetypeai/agent-skills/atai-newton-omega-model GET https://markdownregistry.com/api/v1/blob/6c809dff4656ed8c183a347459fdac1a47f0b3259b1e3cbfa35f07d41f755d4c
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.