CheckDataStatus

Analyzes loaded data status in the VIMEP PostgreSQL database across DVP and PRE environments.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/danielprats/01_03_VIMEP --skill checkdatastatus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: CheckDataStatus
Source: https://github.com/danielprats/01_03_VIMEP/tree/main/AssistentIA/_skills/CheckDataStatus
Command: npx skills add https://github.com/danielprats/01_03_VIMEP --skill checkdatastatus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sqlalchemy, python-dotenv, psycopg2-binary, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a clear and immediate overview of the data loading status within the VIMEP PostgreSQL database, helping users quickly identify any discrepancies or missing information.

Core Features & Use Cases

  • Data Status Overview: Get a quick summary of loaded inventories, maintenance periods, IRIS, and AEP data.
  • Environment Specific: Check data status for different environments like DVP (local development) or PRE (pre-production).
  • Use Case: After running a data ingestion pipeline, use this Skill to instantly verify that all expected maintenance records for a specific asset and period have been successfully loaded into the VIMEP database.

Quick Start

Run the CheckDataStatus skill to see the current status of all loaded data in the PRE environment.

Frequently Asked Questions about CheckDataStatus

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check PostgreSQL data loading status for VIMEP maintenance records?

You can check the VIMEP data loading status in PostgreSQL by analyzing loaded inventories, maintenance periods, IRIS incidents, and AEP data. This immediately identifies any discrepancies or missing information across your database records.

How do I verify data ingestion results in pre-production PostgreSQL environments?

Verify data ingestion results in the PRE environment by running this status check against your PostgreSQL database. It confirms that expected maintenance records and asset data have been successfully loaded into VIMEP.

Can I get database inspection results in JSON format for pipeline integration?

Yes, database inspection results can be output in JSON format for pipeline integration. The skill supports both text and JSON formats, allowing you to easily integrate data validation results into automated ETL monitoring workflows.

Do I need SQLAlchemy and psycopg2 to monitor VIMEP database status?

Yes, you need SQLAlchemy and psycopg2 to monitor VIMEP database status. These dependencies are required to establish PostgreSQL database connectivity and successfully query the loaded inventories, IRIS, and AEP data.

What is the best way to monitor ETL data validation for loaded inventories?

The best way to monitor ETL data validation for loaded inventories is to query the VIMEP PostgreSQL database directly. This provides an immediate overview of data loading status, helping you quickly identify missing maintenance records or AEP data.

Does this data status check work with local development environments?

Yes, this data status check works with local development environments. It supports multiple environments including DVP for local development and PRE for pre-production, allowing you to inspect data loading status across different stages.