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roc-curve-plotter

3.4

by jeremylongshore

141Favorites
51Upvotes
0Downvotes

Manage roc curve plotter operations. Auto-activating skill for ML Training. Triggers on: roc curve plotter, roc curve plotter Part of the ML Training skill category. Use when working with roc curve plotter functionality. Trigger with phrases like "roc curve plotter", "roc plotter", "roc".

model-evaluation

3.4

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill is extremely generic and provides almost no actionable content for ROC curve plotting. The description merely states it 'manages roc curve plotter operations' without explaining what those are. There's no task knowledge—no code, no steps for computing TPR/FPR, handling binary vs multiclass, or plotting. The structure is clear but empty (templated sections with placeholder text). Novelty is low because plotting ROC curves is straightforward with sklearn and matplotlib; a CLI agent could easily do this without a dedicated skill. The skill reads like an unfilled template rather than a functional tool.

LLM Signals

Description coverage2
Task knowledge1
Structure4
Novelty2

GitHub Signals

1,063
137
8
0
Last commit 2 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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