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data-quality-audit

Audit Carnatic Grantha database consistency with diagnostic SQL queries.

1|Updated Dec 21, 2025
Search Tags:#data quality#reporting#data validation#database integrity#carnatic music#sql audit
One-click install
npx skills add https://github.com/carnaticlabs/Sangeetha-Grantha --skill data-quality-audit-carnaticlabs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-quality-audit
Source: https://github.com/carnaticlabs/Sangeetha-Grantha/tree/main/.agent/skills/data-quality-audit
Command: npx skills add https://github.com/carnaticlabs/Sangeetha-Grantha --skill data-quality-audit-carnaticlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill identifies and reports on data quality issues within the Carnatic Grantha database, ensuring consistency, completeness, and accuracy after data operations.

Core Features & Use Cases

  • Diagnostic Queries: Executes a suite of SQL queries to check for inconsistencies in sections, missing evidence, incomplete variants, and structural errors.
  • Import Status: Reports on the status of pending, approved, and rejected imports.
  • Use Case: After a large batch of Krithi data has been imported, run this audit to confirm that all lyrics have the correct number of variants and that no structural anomalies were introduced.

Quick Start

Run the data-quality-audit skill to check for any inconsistencies in the database.

Frequently Asked Questions about data-quality-audit

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

FAQPage Schema
How do I perform a data quality audit on a SQL database after importing records?▼

Validate database integrity by running diagnostic SQL queries that analyze section consistency, evidence coverage, pending imports, and lyric variant completeness to detect structural anomalies introduced during data operations.

What is SQL data validation and when do I need it for database integrity?▼

SQL data validation uses diagnostic queries to check for inconsistencies, missing evidence, and incomplete variants. You need it after extraction, migration repairs, or batch imports to ensure database accuracy and completeness.

Can I check for missing evidence and incomplete lyric variants using SQL queries?▼

Yes, you can check for missing evidence and incomplete lyric variants by executing SQL audit scripts that report on structural errors and validate data completeness across database sections.

Does the data quality audit report on pending, approved, and rejected imports?▼

Yes, the data quality audit reports on pending, approved, and rejected import statuses, allowing you to monitor batch processing and confirm no structural anomalies were introduced during the import.

What are the limitations of using SQL scripts for database integrity checks?▼

Using SQL scripts for database integrity checks is limited to diagnosing structural inconsistencies and reporting import status, requiring a populated database to execute queries and validate post-migration repairs.

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