security_skill

This skill helps you implement database security covering access control, encryption, and audit logging to protect data and meet compliance.
  • Python

2

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill pluginagentmarketplace/custom-plugin-sql --skill security

  • SKILL.md1.1 KB

Overview

This skill teaches practical database security: access control, encryption, SQL injection prevention, and auditing. It focuses on actionable configuration and patterns to protect data, control privileges, and meet compliance requirements. It pairs defensive techniques with monitoring and forensic-ready logging.

How this skill works

The skill inspects and hardens authentication, authorization, and privilege models (RBAC, row- and column-level rules) and shows how to apply least privilege. It demonstrates code- and database-level protections against SQL injection, encryption options (TDE, column-level, TLS), and key-management basics. It also covers audit logging, change tracking, and mapping controls to GDPR/PCI/HIPAA requirements for compliance and investigations.

When to use it

  • Designing or refactoring database schemas with security in mind
  • Implementing application-to-database access controls and least-privilege models
  • Hardening production databases against injection and data exfiltration
  • Preparing systems for compliance audits (GDPR, PCI-DSS, HIPAA)
  • Implementing encryption and key management for sensitive data

Best practices

  • Apply least privilege and role-based access; grant broad rights only to administrative roles
  • Use parameterized queries or prepared statements; validate inputs at the application boundary
  • Enable TLS for client/server connections and encrypt data at rest with managed keys
  • Implement column-level encryption or tokenization for high-risk fields (PII, payment data)
  • Centralize audit logging and retain immutable logs for investigation and compliance
  • Automate periodic privilege reviews and rotate keys and credentials on a regular schedule

Example use cases

  • Build RBAC and row-level policies for a multi-tenant SaaS database
  • Harden an application stack to eliminate SQL injection vectors using ORM best practices
  • Deploy Transparent Data Encryption and manage keys for compliance with PCI or HIPAA
  • Set up audit trails and change tracking to support incident response and forensic analysis
  • Design data retention and masking strategies to comply with GDPR data subject requests

FAQ

Start by identifying dynamic SQL patterns, introduce parameterized queries or prepared statements, and add input validation. If refactoring is costly, use stored procedures and strict database permissions as interim controls.

When should I use column-level encryption vs full-disk/TDE?

Use TDE to protect backups and disks from theft; use column-level encryption or tokenization when specific fields require stricter access controls or selective decryption at the application level.

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security skill by pluginagentmarketplace/custom-plugin-sql | VeilStrat