Detect model drift detector operations. Auto-activating skill for ML Deployment. Triggers on: model drift detector, model drift detector Part of the ML Deployment skill category. Use when working with model drift detector functionality. Trigger with phrases like "model drift detector", "model detector", "model".
3.4
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Machine Learning
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This skill is extremely vague and provides almost no actionable content. The description is circular ('Detect model drift detector operations') and doesn't explain what model drift detection actually entails. There are no concrete steps, algorithms, metrics (e.g., PSI, KL divergence, Kolmogorov-Smirnov tests), code examples, or thresholds for detecting drift. The 'Instructions' section offers only generic platitudes without any drift-specific guidance. A CLI agent would have no idea how to implement statistical drift detection, compare data distributions, set up monitoring pipelines, or generate alerts based solely on this skill. The structure is clean but hollow. While model drift detection is a legitimate ML concern, this implementation adds negligible value over a generic prompt to an LLM.
jeremylongshore
Skill Author
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