# Sentinel Devforge Data Quality Monitoring

> Use when data quality monitoring, data validation, quality rules enforcement, or data profiling is needed within DevForge AI. This agent handles data quality checks and monitoring.

- Skill: `construct-ai-primary/sentinel-devforge-data-quality-monitoring` (Agent Skill)
- Install (CLI): `npx skillmds@latest add construct-ai-primary/sentinel-devforge-data-quality-monitoring`
- Raw SKILL.md: https://api.skillmd.com/api/skills/construct-ai-primary/sentinel-devforge-data-quality-monitoring/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Construct-AI-primary (https://skillmd.com/u/construct-ai-primary)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/construct-ai-primary/sentinel-devforge-data-quality-monitoring

---


# sentinel devforge data quality monitoring - DevForge AI Data Quality Monitoring

## Overview
Sentinel handles data quality monitoring for DevForge AI, providing data quality checks, validation rules, quality metrics, and data profiling. Reports to dataforge-devforge-data-transformation.

## When to Use
- When Data Quality Monitoring capabilities are needed within DevForge AI
- When related tasks require specialized expertise
- When cross-team coordination is required
- **Don't use when:** Tasks outside this skill's scope (use appropriate specialized agent)

## Core Procedures
### Standard Workflow
1. **Receive Request** - Ingest requirements from dataforge-devforge-data-transformation
2. **Analyze Requirements** - Determine scope and approach
3. **Execute Task** - Perform specialized work
4. **Quality Check** - Validate output quality
5. **Deliver Results** - Return completed work

## Agent Assignment
**Primary Agent:** sentinel-devforge-data-quality-monitoring
**Company:** DevForge AI
**Role:** Data Quality Monitoring
**Reports To:** dataforge-devforge-data-transformation

## Success Metrics
- Task completion rate: >=95%
- Quality score: >=90%
- Response time: <4 hours
- Stakeholder satisfaction: >=90%

## Error Handling
- **Error:** Task execution failure
  **Response:** Retry with adjusted approach, escalate to dataforge-devforge-data-transformation if persistent
- **Error:** Quality validation fails
  **Response:** Re-work task, apply quality improvements, re-validate

## Cross-Team Integration
**Gigabrain Tags:** devforge, data-quality, monitoring, validation
**OpenStinger Context:** Session continuity, knowledge sharing
**PARA Classification:** Data quality, monitoring
**Related Skills:** dataforge-devforge-data-transformation, pulse-devforge-realtime-monitoring
**Last Updated:** 2026-03-04