atai-rare-event-detection-agent-data-prep SKILL.md skillA

atai-rare-event-detection-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.

Install it, pinned
mdr add archetypeai/agent-skills/atai-rare-event-detection-agent-data-prep@git:20261101.3272771

Pins git:20261101.3272771 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-rare-event-detection-agent-data-prep/SKILL.md
Versions recorded
3
Latest version
git:20261101.3272771, committed Nov 1, 2026
First version recorded
Oct 24, 2026
Size
16,297 bytes
Repository stars
7
License
Apache-2.0

Prepare a labelled sensor recording for Archetype AI's Rare Event Detection (RED) agent, locally and with no API key: put it on an exact sample grid, map its labels to a background class and named event classes, number the incidents, check whether those incidents and channels can make a RED agent (incident length against window size, channels that go dark during events, zero-saturation, separation that does not carry over to held-out incidents), and write the role files the RED platform…

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

# RED Data Prep — a labelled recording → role files

The RED agent learns **one prototype per class** from a handful of labelled incidents
and normal operation, and flags windows that sit closer to an event's prototype than to
normal. With so few examples, a few prep decisions carry the whole result, and the ways
to get them wrong rarely error: a channel that goes dark *because* the pump failed
becomes a perfect but meaningless signature; an incident shorter than half a window is
all but undetectable at that window; two incidents close together share their normal
context between validation and test; channels chosen on held-out incidents score
optimistically. This skill makes each decision visible and checks every rule before you
upload.

```
one recording (any rate, jitter, gaps, missing readings)
  + a per-row label column     prepare.py → check_events.py → build_roles.py → preflight_roles.py → RED agent skill, Path 2
```

Everything here is **local and needs no API key**. The contract is
[`references/role-files.md`](references/role-files.md). It is the layout of the
[RED pump quickstart](https://github.com/archetypeai/rare-event-detection-agent-example-pump-quickstart),
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add archetypeai/agent-skills/atai-rare-event-detection-agent-data-prep@sha256:945ab43ed67e96bd

The line at the top of this page pins the label git:20261101.3272771, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_jini2wwg6ocexrwx.svg)](https://markdownregistry.com/a/art_jini2wwg6ocexrwx)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Oct 24, 2026 and Nov 1, 2026, about one every 4 days.

versioncommittedcommitsizeaudit
git:20261101.3272771 latest2026-11-01 3272771 16,297 BA view · diff
git:20261101.88f698d2026-11-01 88f698d 16,110 BA view · diff
git:20261024.6f9c08f2026-10-24 6f9c08f 14,006 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16297 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

GitHub

archetypeai/agent-skills · 7 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jini2wwg6ocexrwx
GET https://markdownregistry.com/api/v1/resolve?ref=archetypeai/agent-skills/atai-rare-event-detection-agent-data-prep
GET https://markdownregistry.com/api/v1/blob/945ab43ed67e96bd77b8c508811703417b8e057be636043712a3953f68371ad9

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.

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