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datarobot-model-monitoring

Skill

Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies. Use when monitoring deployed models, tracking drift, or investigating prediction anomalies.

0Monitoring

Install

git clone https://github.com/datarobot-oss/datarobot-agent-skills.git ~/.claude/skills/datarobot-model-monitoring

What is datarobot-model-monitoring?

Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies. Use when monitoring deployed models, tracking drift, or investigating prediction anomalies.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~56 tokens of context used while enabled, before you invoke anything

Documentation

README · ~4 min read

DataRobot Model Monitoring Skill

This skill provides comprehensive guidance for monitoring deployed models, tracking performance metrics, detecting data drift, and managing model health.

Quick Start

Most common use case: Check deployment health and data drift

  1. Check service stats: deployment.get_service_stats(...) to review prediction volume/latency
  2. Check drift: deployment.get_feature_drift(...) / deployment.get_target_drift(...)
  3. Compare over time: Use get_service_stats_over_time(...) and drift periods to assess trends

Example: "Check the health of deployment abc123 and report any data drift issues"

When to use this skill

Use this skill when you need to:

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