ReddRadar
Agent skill
whylabs-monitor
WhyLabs integration skill for ML observability, profile logging, and anomaly detection.
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/data-science-ml/skills/whylabs-monitor
SKILL.md
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
{
"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": { "type": "string" }
}
},
"compareConfig": {
"type": "object",
"properties": {
"baselineProfile": { "type": "string" },
"targetProfile": { "type": "string" },
"metrics": { "type": "array", "items": { "type": "string" } }
}
},
"validationConfig": {
"type": "object",
"properties": {
"constraints": {
"type": "array",
"items": {
"type": "object",
"properties": {
"column": { "type": "string" },
"constraint": { "type": "string" },
"value": { "type": "number" }
}
}
}
}
}
}
}
Output Schema
{
"type": "object",
"required": ["status", "action"],
"properties": {
"status": {
"type": "string",
"enum": ["success", "error", "warning"]
},
"action": {
"type": "string"
},
"profilePath": {
"type": "string"
},
"uploadId": {
"type": "string"
},
"dashboardUrl": {
"type": "string"
},
"comparison": {
"type": "object",
"properties": {
"driftScore": { "type": "number" },
"driftedFeatures": { "type": "array", "items": { "type": "string" } },
"alerts": { "type": "array" }
}
},
"validation": {
"type": "object",
"properties": {
"passed": { "type": "boolean" },
"failures": { "type": "array" }
}
}
}
}
Usage Example
{
kind: 'skill',
title: 'Profile and upload production data',
skill: {
name: 'whylabs-monitor',
context: {
action: 'profile',
profileConfig: {
dataPath: 'data/production_batch.parquet',
datasetId: 'fraud-detection',
segments: ['region', 'customer_type'],
timestamp: '2024-01-15T00:00:00Z'
},
uploadConfig: {
orgId: 'org-123',
modelId: 'model-fraud-v2'
}
}
}
}
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
a5c-ai/babysitter
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?