atai-anomaly-discovery-agent SKILL.md skillB

atai-anomaly-discovery-agent 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-anomaly-discovery-agent@git:20261101.8ac6f2c

Pins git:20261101.8ac6f2c 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-anomaly-discovery-agent/SKILL.md
Versions recorded
10
Latest version
git:20261101.8ac6f2c, committed Nov 1, 2026
First version recorded
Oct 30, 2026
Size
55,929 bytes
Repository stars
7
License
Apache-2.0

Run Archetype AI's Anomaly Discovery (AD) agent over the Agents API, on two paths. Path 1 — run the maintained "AD Quick Start" bundle (a fitted LOF detector and its threshold already pinned): upload a prepared sensor CSV, resolve the bundle by exact name, run, poll, download a per-window anomaly score. Path 2 — build a detector on YOUR OWN data: from role files (a normal-only library, validation and test with labelled incidents, a delivery) fit and score settings with the Optimizations API…

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

# AD Agent — Managed Anomaly Discovery via the Agents API

The AD agent answers one question: **does this window still look like normal
operation?** It is fitted on normal data only — a reference period from a
healthy asset — and everything it flags afterwards is, by construction,
something it was never shown.

That premise is the whole reason the agent exists. Its two siblings both need
examples of what you are looking for: OSM needs a labelled library of every
state, RED needs a handful of shots of a named fault. Neither is available when
a machine has never failed, which is the normal condition of most industrial
assets — and the condition under which a monitoring system is most valuable.

The graph is the first canonical blueprint with a **forked** topology:

```
source → interpolate → window → windowInterpolate → samplingRate → limitValues
       → tee ─┬→ encoder (omega:1.5) ─────→ fuse.emb ─┐
              └→ features (ChannelFeatures) → fuse.feat ─┴→ detector (LOF) → sink
```

Both branches see the same window: the Omega encoder produces a 768-dimensional
embedding, `ChannelFeatures` produces a handful of per-channel statistics, and
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add archetypeai/agent-skills/atai-anomaly-discovery-agent@sha256:8b1252b31abbfea7

The line at the top of this page pins the label git:20261101.8ac6f2c, 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_x77alhjvp7fdq2e2.svg)](https://markdownregistry.com/a/art_x77alhjvp7fdq2e2)

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

Versions

The registry has recorded 10 versions of this file, between Oct 30, 2026 and Nov 1, 2026, more than one a day.

versioncommittedcommitsizeaudit
git:20261101.8ac6f2c latest2026-11-01 8ac6f2c 55,929 BB view · diff
git:20261101.9a17cf02026-11-01 9a17cf0 55,518 BB view · diff
git:20261101.2384bd02026-11-01 2384bd0 55,940 BB view · diff
git:20261101.8830d252026-11-01 8830d25 55,529 BB view · diff
git:20261101.840343a2026-11-01 840343a 51,901 BB view · diff
git:20261031.03fff0a2026-10-31 03fff0a 50,098 BB view · diff
git:20261031.bbe38b92026-10-31 bbe38b9 49,995 BB view · diff
git:20261030.d143d9c2026-10-30 d143d9c 49,696 BB view · diff
git:20261030.650186c2026-10-30 650186c 48,661 BB view · diff
git:20261030.0e5182a2026-10-30 0e5182a 48,209 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • 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 (55929 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

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_x77alhjvp7fdq2e2
GET https://markdownregistry.com/api/v1/resolve?ref=archetypeai/agent-skills/atai-anomaly-discovery-agent
GET https://markdownregistry.com/api/v1/blob/8b1252b31abbfea744331e5e0c698585b40ea2811122474a33afdfb71802e77a

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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