atai-rare-event-detection-agent SKILL.md skillB
atai-rare-event-detection-agent 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-rare-event-detection-agent@git:20261102.d2f5914Pins git:20261102.d2f5914 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-rare-event-detection-agent/SKILL.md- Versions recorded
- 10
- Latest version
- git:20261102.d2f5914, committed Nov 2, 2026
- First version recorded
- Oct 30, 2026
- Size
- 53,182 bytes
- Repository stars
- 7
- License
- Apache-2.0
Run Archetype AI's Rare Event Detection (RED) agent over the Agents API, on two paths. Path 1 — run the maintained "RED Quick Start" bundle (a pump-breakdown nearest-prototype classifier and its windowing already pinned): upload a prepared CSV, resolve the bundle by exact name, run, poll, download per-window event predictions. Path 2 — build a RED agent on YOUR OWN data: from role files (a few labelled incidents of a named event for training, the next ones for validation and test, a delivery)…
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 Agent — Managed Rare Event Detection via the Agents API
The RED agent detects **named, rare events** from a handful of labelled
examples. It is the few-shot middle path between two siblings: OSM needs a full
labelled library across every regime you care about, anomaly detection needs
only normal data but flags *everything* unusual. RED takes a small named catalog
— "pump breakdown", "severe slugging" — with a few labelled examples each plus
normal data, and detects those specific signatures recurring.
Algorithmically it is two modules: the **Omega encoder** turns windowed
multivariate sensor data into embeddings, and a **nearest-prototype classifier**
assigns each window to the closest class prototype. One prototype per class —
the arithmetic mean of that class's shot embeddings — which is what makes it
tolerate the severe imbalance between abundant normal data and one or two fault
incidents.
The platform runs the whole graph server-side:
```
source → interpolate → window → windowInterpolate → samplingRate
→ limitValues → encoder (omega:1.5) → classifier → sink
```
There are two ways in. **Path 1** runs the canonical "RED Quick Start" bundles,
…Read the whole file at its exact version.
How to install
mdr add archetypeai/agent-skills/atai-rare-event-detection-agent@sha256:76f8981da83f02eeThe line at the top of this page pins the label git:20261102.d2f5914, 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_sktqi3lkvo4yiljo)
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Versions
The registry has recorded 10 versions of this file, between Oct 30, 2026 and Nov 2, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261102.d2f5914 latest | 2026-11-02 | d2f5914 | 53,182 B | B | view · diff |
| git:20261101.8ac6f2c | 2026-11-01 | 8ac6f2c | 52,963 B | B | view · diff |
| git:20261101.6348cee | 2026-11-01 | 6348cee | 52,908 B | B | view · diff |
| git:20261101.9a17cf0 | 2026-11-01 | 9a17cf0 | 46,753 B | B | view · diff |
| git:20261101.3272771 | 2026-11-01 | 3272771 | 52,689 B | B | view · diff |
| git:20261030.d143d9c | 2026-10-30 | d143d9c | 45,437 B | B | view · diff |
| git:20261030.650186c | 2026-10-30 | 650186c | 44,860 B | B | view · diff |
| git:20261030.0e5182a | 2026-10-30 | 0e5182a | 44,361 B | B | view · diff |
| git:20261030.87f05c4 | 2026-10-30 | 87f05c4 | 44,100 B | B | view · diff |
| git:20261030.8b5d3c7 | 2026-10-30 | 8b5d3c7 | 44,327 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 (53182 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_sktqi3lkvo4yiljo GET https://markdownregistry.com/api/v1/resolve?ref=archetypeai/agent-skills/atai-rare-event-detection-agent GET https://markdownregistry.com/api/v1/blob/76f8981da83f02ee772785a577dea415cbf6bf0f31f86b54a5cf5e3ed2a4525a
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.