Is the guidance only for .NET developers?

While the code examples use .NET, the classification matrices, data inventory templates, and lifecycle strategies are language-agnostic and applicable to any technology stack.

Can this skill help with programmatic data protection?

Absolutely. It includes .NET code examples for custom attributes, authorization handlers, and services that automatically encrypt fields based on their classification level.

What classification levels are provided in the framework?

The framework defines five standard levels: Public, Internal, Confidential, Restricted, and Top Secret, each with its own matrix of security controls.

Does this skill support specific regulations like GDPR or HIPAA?

Yes, it provides the necessary frameworks for identifying and handling PII and PHI, helping teams meet the data protection requirements of GDPR, HIPAA, and CCPA.

How does it handle data discovery?

The skill includes regex-based pattern matching logic to help automate the discovery of sensitive information like credit card numbers, SSNs, and emails within your content.

Data Classification & Compliance

Name: Data Classification & Compliance
Author: melodic-software

bymelodic-software

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セキュリティとテスト

Implements comprehensive data classification frameworks and lifecycle management policies to ensure regulatory compliance and data security.

概要

This skill provides a structured approach to managing data sensitivity and security within your applications. It facilitates the creation of standardized classification levels—ranging from Public to Top Secret—and defines specific handling requirements for encryption, access control, and retention. With ready-to-use .NET implementation patterns for attribute-based classification and field-level encryption, along with automated discovery templates, this skill is essential for developers building systems that must adhere to GDPR, HIPAA, or SOC2 standards.

主な機能

Comprehensive handling matrix for access control, encryption, and backups
Automated data discovery patterns for identifying PII and financial data
12 GitHub stars
Standardized sensitivity levels and visual labeling frameworks
.NET implementation patterns for attribute-based data protection
Lifecycle management templates for secure data retention and disposal

ユースケース

Designing automated field-level encryption for sensitive database records
Establishing security policies for GDPR, CCPA, or HIPAA compliance
Creating standardized data inventory and audit-ready documentation

概要

主な機能

Comprehensive handling matrix for access control, encryption, and backups
Automated data discovery patterns for identifying PII and financial data
12 GitHub stars
Standardized sensitivity levels and visual labeling frameworks
.NET implementation patterns for attribute-based data protection
Lifecycle management templates for secure data retention and disposal

ユースケース

Designing automated field-level encryption for sensitive database records
Establishing security policies for GDPR, CCPA, or HIPAA compliance
Creating standardized data inventory and audit-ready documentation