aeon SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
aeon from fridrichmethod/awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fridrichmethod/awesome-skills/aeon@git:20260517.81511a7Pins git:20260517.81511a7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fridrichmethod/awesome-skills
- Path
skills/aeon/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260517.81511a7, committed May 17, 2026
- Size
- 15,852 bytes
- Repository stars
- 15
- License
- a license file GitHub does not identify
scikit-learn compatible Python toolkit for time series ML: classify, cluster, regress, segment, transform with 30+ algorithms (ROCKET, InceptionTime, KNN-DTW, HIVE-COTE, WEASEL). Handles panel, multivariate, and unequal-length series. Maintained successor to sktime. Alternatives: sktime (larger ecosystem), tslearn (fewer algorithms), catch22 (features only).
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
# aeon ## Overview aeon provides a unified scikit-learn-compatible API for time series ML tasks: classification, regression, clustering, segmentation, annotation, similarity search, and transformation. It follows the same `fit(X, y)` / `predict(X)` pattern as scikit-learn, where `X` is a 3D NumPy array of shape `(n_instances, n_channels, n_timepoints)`. aeon curates state-of-the-art algorithms from the time series literature — ROCKET and its variants (MiniROCKET, MultiROCKET) for classification, k-means with DTW for clustering, CLASP for segmentation — and provides benchmarking tools for comparing algorithms across datasets. It is the community-maintained fork of sktime following the 2022 governance split. ## When to Use - Classifying ECG, EEG, accelerometer, or sensor time series using state-of-the-art algorithms - Regressing a scalar target from a time series input (e.g., predicting patient severity from vital sign waveforms) - Clustering time series by shape similarity when class labels are unavailable - Detecting change points or segmenting a continuous recording into homogeneous intervals …
Read the whole file at its exact version.
How to install
mdr add fridrichmethod/awesome-skills/aeon@sha256:c2e6053399c19b25The line at the top of this page pins the label git:20260517.81511a7, 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_fmsb3oolhncihl3z)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 17, 2026.
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 (15852 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
fridrichmethod/awesome-skills · 15 stars · license a license file GitHub does not identify · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fmsb3oolhncihl3z GET https://markdownregistry.com/api/v1/resolve?ref=fridrichmethod/awesome-skills/aeon GET https://markdownregistry.com/api/v1/blob/c2e6053399c19b259f724afd9bfba6505ca18e935c00a6b02a820b62253a5443
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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