evidently-drift-detector
Evidently AI skill for data drift detection, model performance monitoring, target drift analysis, and automated reporting for ML systems in production.
npx skills add a5c-ai/babysitter --skill evidently-drift-detector --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Evidently Drift Detector Detect data drift, monitor model performance, and generate automated reports using Evidently AI. ## Overview This skill provides comprehensive capabilities for ML monitoring using Evidently AI. It enables detection of data drift, concept drift, target drift, and model performance degradation in production ML systems. ## Capabilities ### Data Drift Detection - Feature-level drift detection - Dataset-level drift analysis - Multiple drift detection methods (KS, PSI, Wasserstein, etc.) - Distribution visualization - Drift magnitude quantification ### Model Performance Monitoring - Classification metrics tracking - Regression metrics tracking - Performance degradation detection - Slice-based analysis - Error analysis ### Target Drift Analysis - Target distribution changes - Label drift detection - Prediction drift monitoring - Class balance monitoring ### Automated Reporting - HTML report generation - JSON metrics export - Dashboard integration - Custom metric creation - Test suite execution ### Production Monitoring - Real-time monitoring integration - Alerting threshold configuration - Time-series drift tracking - Batch comparison analysis ## Prerequisites #
- Overview
- Capabilities
- Data Drift Detection
- Model Performance Monitoring
- Target Drift Analysis
- Automated Reporting
- Production Monitoring
- Prerequisites
- Installation
- Optional Dependencies
- Usage Patterns
- Basic Data Drift Report
- Classification Performance Report
- Regression Performance Report
pip install evidently>=0.4.0 For Spark support pip install evidently[spark] For specific visualizations pip install plotly nbformat
What does the evidently-drift-detector skill do?
Evidently AI skill for data drift detection, model performance monitoring, target drift analysis, and automated reporting for ML systems in production.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill evidently-drift-detector --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.