aeon

aeon is a Time series & forecasting skill for AI agents, published by K-Dense-AI in the scientific-agent-skills repository on GitHub. Skillspace rates aeon C (72/100) and it passed the safety scan; a judge model has also reviewed it.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
44,723

Placed #3 of 6 in the judged category final for Time series & forecasting.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Judge review

Placed #3 of 6 in the judged category final for Time series & forecasting.

  • Trigger8080
  • Instructions9090
  • Specificity9090
  • Safety8080
  • Disclosure9090
  • Maintenance8080
Clear-eyed about which of its own modules are experimental versus stable and pins exact version ranges, with a full reference catalog per task type.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Also published in 1 other repo

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