How does tagging improve data security?

Tagging creates a searchable metadata layer that allows security teams to easily audit sensitive data locations and apply appropriate access controls.

What are the prerequisites for using this skill?

You need the AnomalyArmor Python SDK installed and a valid API key configured in your environment or at ~/.armor/config.yaml.

What tag categories are supported by default?

The skill includes pre-defined categories for Business (domain-specific), Technical (architectural metadata), and Governance (security and compliance).

Does this work across different database types?

Yes, as long as the assets are registered in AnomalyArmor, you can apply tags to PostgreSQL, Snowflake, and other supported data sources using the bulk apply feature.

Can I tag specific columns instead of whole tables?

Yes, the skill supports column-level granularity, allowing you to mark specific fields as PII or sensitive while leaving the rest of the table with different labels.

Data Governance Tags

Name: Data Governance Tags
Author: anomalyarmor

byanomalyarmor

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데이터베이스 관리

Classifies and governs database objects through automated tagging for security, compliance, and business organization.

The Data Governance Tags skill enables Claude to manage data observability and metadata classification within the AnomalyArmor ecosystem. It provides a structured framework for identifying sensitive information, such as PII, and applying governance labels across tables and columns. By leveraging this skill, developers can automate the organization of database assets into business, technical, and compliance categories, ensuring that data is properly tracked and protected across multiple assets and environments.

주요 기능

01Automated PII and sensitive data classification for compliance

02Advanced filtering of tags by business, technical, or governance categories

03Integration with AnomalyArmor API for real-time metadata updates

04Bulk tag application across multiple heterogeneous assets

05Granular tagging for both database tables and individual columns

061 GitHub stars

사용 사례

01Managing technical metadata to distinguish staging from production data assets

02Categorizing database assets by business domains like finance, marketing, or sales

03Labeling PII and sensitive columns to meet GDPR and CCPA compliance standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anomalyarmor/agents tags

For use in Claude.ai and ChatGPT

Download Skill