Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 1 skill

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Decision summary

ARIMA LSTM Hybrid Corrcoef Predict is the strongest overall pick here because it has a 38/100 readiness score and fits GitHub automation.

Strongest overall

ARIMA LSTM Hybrid Corrcoef Predict

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Fastest prototype

ARIMA LSTM Hybrid Corrcoef Predict

Best first install candidate based on install readiness and adoption.

Freshest repo

ARIMA LSTM Hybrid Corrcoef Predict

Most recent maintenance signal among this shortlist.

SignalARIMA LSTM Hybrid Corrcoef Predict

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Quality
48/100
Needs review
Decision verdict
38/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption433 stars
0 installs
FreshnessOct 1, 2018
Use-case fit
Stack fit
Platform hintsJupyter Notebook, Portfolio Analysis, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict