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prediction-monitor

3.4

by jeremylongshore

121Favorites
96Upvotes
0Downvotes

Prediction Monitor - Auto-activating skill for ML Deployment. Triggers on: prediction monitor, prediction monitor Part of the ML Deployment skill category.

monitoring

3.4

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill is essentially a template with placeholder content that lacks substantive implementation. The description is circular and vague ('prediction monitor' repeated without explaining what it monitors or how). There is no actual task knowledge provided - no monitoring metrics, drift detection methods, alerting strategies, or code examples. While the structure is clean, it's only because there's minimal content. The skill claims to provide 'step-by-step guidance' and 'production-ready code' but delivers neither. A CLI agent would have no actionable information beyond generic ML monitoring concepts it already knows. To be useful, this needs concrete implementations: data drift detection algorithms, model performance tracking, alerting thresholds, integration with monitoring platforms, and actual monitoring scripts or configurations.

LLM Signals

Description coverage2
Task knowledge1
Structure4
Novelty2

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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