atai-operational-state-monitoring-agent-data-prep SKILL.md skillA
atai-operational-state-monitoring-agent-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-operational-state-monitoring-agent-data-prep@git:20261101.af1fb27Pins git:20261101.af1fb27 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-operational-state-monitoring-agent-data-prep/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261101.af1fb27, committed Nov 1, 2026
- First version recorded
- Oct 1, 2026
- Size
- 18,134 bytes
- Repository stars
- 7
- License
- Apache-2.0
Prepare labelled sensor recordings for Archetype AI's Operational State Monitoring (OSM) agent, locally and with no API key: put every recording on an exact sample grid (split at gaps, never interpolate across one), attach one state per row, check that the sensor can actually tell the states apart, split recordings into library / validation / test / delivery by group, z-score from the library only, and write the role files the OSM platform accepts…
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
# OSM Data Prep — Labelled Recordings → Role Files
The OSM agent learns operational states (drilling / tripping, fill / wash / spin /
drain, …) from **labelled recordings** and classifies every window of new ones. Before
anything reaches the platform, the recordings have to become **role files**: a small,
strict layout the Optimizations and Evals APIs accept. Most ways to get it wrong don't
error: an optimization with too many training files **never starts**, one scored window
across a time gap **fails the whole trial**, and a state missing from the test set
**scores 0**. This skill builds the layout and checks every rule before you upload.
```
recordings (any rate, gaps, jitter) role files (the contract)
+ a per-row state label prepare.py ─┐
+ recordings.csv (index) → check_states │→ build_roles.py → preflight_roles.py → OSM agent skill, Path 2
split_roles ─┘
```
Everything here is **local and needs no API key**. The contract itself is in
[`references/role-files.md`](references/role-files.md); the platform rules in it were
measured on the dev deployment (2026-09-30) while building the LARCO washing-machine
…Read the whole file at its exact version.
How to install
mdr add archetypeai/agent-skills/atai-operational-state-monitoring-agent-data-prep@sha256:dca9e2b15fecd3caThe line at the top of this page pins the label git:20261101.af1fb27, 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_f745dv4g2okvuwmg)
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Versions
The registry has recorded 5 versions of this file, between Oct 1, 2026 and Nov 1, 2026, about one every 8 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261101.af1fb27 latest | 2026-11-01 | af1fb27 | 18,134 B | A | view · diff |
| git:20261101.a487194 | 2026-11-01 | a487194 | 17,995 B | A | view · diff |
| git:20261006.fa43c8e | 2026-10-06 | fa43c8e | 16,628 B | A | view · diff |
| git:20261001.9ec631b | 2026-10-01 | 9ec631b | 16,564 B | A | view · diff |
| git:20261001.a0b5603 | 2026-10-01 | a0b5603 | 16,533 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 (18134 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_f745dv4g2okvuwmg GET https://markdownregistry.com/api/v1/resolve?ref=archetypeai/agent-skills/atai-operational-state-monitoring-agent-data-prep GET https://markdownregistry.com/api/v1/blob/dca9e2b15fecd3ca521114eec70ba81d4e2204807cca5425fef2e20b856239ae
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.