whylabs-monitor
WhyLabs integration skill for ML observability, profile logging, and anomaly detection.
npx skills add a5c-ai/babysitter --skill whylabs-monitor --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.
# whylabs-monitor ## Overview WhyLabs integration skill for ML observability, data profile logging, and anomaly detection in production ML systems. ## Capabilities - Data profile generation (whylogs) - Profile upload to WhyLabs platform - Anomaly detection and alerts - Segment analysis for data subsets - Performance monitoring dashboards - Integration with ML pipelines - Historical profile comparison - Custom constraint validation ## Target Processes - Model Performance Monitoring and Drift Detection - ML System Observability and Incident Response ## Tools and Libraries - whylogs - WhyLabs Platform - pandas ## Input Schema ```json { "type": "object", "required": ["action"], "properties": { "action": { "type": "string", "enum": ["profile", "upload", "compare", "validate", "alert-config"], "description": "WhyLabs action to perform" }, "profileConfig": { "type": "object", "properties": { "dataPath": { "type": "string" }, "datasetId": { "type": "string" }, "segments": { "type": "array", "items": { "type": "string" } }, "timestamp": { "type": "string" } } }, "uploadConfig": { "type": "object", "properties": { "orgId": { "type": "string" }, "modelId": { "type": "string" }, "profilePath":
- Overview
- Capabilities
- Target Processes
- Tools and Libraries
- Input Schema
- Output Schema
- Usage Example
What does the whylabs-monitor skill do?
WhyLabs integration skill for ML observability, profile logging, and anomaly detection.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill whylabs-monitor --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.