Is the aeon skill free?

Yes. The skill itself is free from K-Dense-AI/scientific-agent-skills. SkillProof publishes the install command and an independent test verdict at no cost.

How do I install aeon?

Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.

Can I use aeon with Cursor, Copilot, Gemini CLI, Codex or other AI tools?

The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.

aeon

Applies time-series machine learning — classification, forecasting, anomaly detection.

by K-Dense-AI · K-Dense-AI/scientific-agent-skills

Tested · Didn't pass

Read why it failed Download source ↗

Test report

Verdict: Tested · Didn't pass
Tested: Jul 11, 2026
Environment: Claude Code 2.x (agent harness)
Upstream re-checked: Aug 10, 2026 · d39f473

Tested install (verbatim git-clone + cp, clean; strict-YAML frontmatter, all 11 reference files present), a 6-prompt trigger battery, and an anomaly-detection OUTPUT task against a base (no-skill) arm. The classification quick-start (RocketClassifier + GunPoint) runs exactly as written, but the anomaly_detection quick-start `from aeon.anomaly_detection import STOMP` is broken in aeon 1.5.0 (real path `aeon.anomaly_detection.series.distance_based.STOMP`) and silently needs undocumented soft deps stumpy and psutil — psutil isn't even covered by the documented `aeon[all_extras]` fallback. A/B: the skill arm used genuine aeon STOMP and correctly located the anomalous segment, but a plain-NumPy base arm matched it and was actually crisper (exact segment 40-44, correct peak point, clean separation), so the specialized algorithm added no edge on this task and came with import/dependency friction.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

Installs cleanly 5/5
Triggers reliably 4/5
Output vs. baseline 4/10
Docs & honesty 2/5

What aeon does

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…

How to install aeon

git clone https://github.com/K-Dense-AI/scientific-agent-skills
cd scientific-agent-skills
mkdir -p ~/.claude/skills
cp -r skills/aeon ~/.claude/skills/aeon

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger aeon

/aeon Applies time-series machine learning — classification, forecasting, anomaly detection.

It also activates on plain-language prompts like these:

Forecast this time series using aeon algorithms
Classify these sequences with a time-series model
Detect anomalies in this sensor time-series data

Frequently asked questions

Is the aeon skill free?: Yes. The skill itself is free from K-Dense-AI/scientific-agent-skills. SkillProof publishes the install command and an independent test verdict at no cost.
Does aeon work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 11, 2026. Verdict: Tested · Didn't pass. Tested install (verbatim git-clone + cp, clean; strict-YAML frontmatter, all 11 reference files present), a 6-prompt trigger battery, and an anomaly-detection OUTPUT task against a base (no-skill) arm. The classification quick-start (RocketClassifier + GunPoint) runs exactly as written, but the anomaly_detection quick-start `from aeon.anomaly_detection import STOMP` is broken in aeon 1.5.0 (real path `aeon.anomaly_detection.series.distance_based.STOMP`) and silently needs undocumented soft deps stumpy and psutil — psutil isn't even covered by the documented `aeon[all_extras]` fallback. A/B: the skill arm used genuine aeon STOMP and correctly located the anomalous segment, but a plain-NumPy base arm matched it and was actually crisper (exact segment 40-44, correct peak point, clean separation), so the specialized algorithm added no edge on this task and came with import/dependency friction.
How do I install aeon?: Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use aeon with Cursor, Copilot, Gemini CLI, Codex or other AI tools?: The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.