k-dense-ai/scientific-agent-skills · skills/aeon/SKILL.md
aeon skillA
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.
Latest version
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1 latest | 2026-09-02 | 1e5eeff | 13,464 B | A | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 12,507 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 12,512 B | A | view |
Audit of the latest version
A 17 of 17 checks passed. Deterministic, no model, 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 (13464 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
k-dense-ai/scientific-agent-skills · 42,925 stars · license MIT · pushed 2026-09-02 · branch main
API
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