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implementing-database-audit-logging

5.2

by jeremylongshore

52Favorites
60Upvotes
0Downvotes

Process use when you need to track database changes for compliance and security monitoring. This skill implements audit logging using triggers, application-level logging, CDC, or native logs. Trigger with phrases like "implement database audit logging", "add audit trails", "track database changes", or "monitor database activity for compliance".

audit logging

5.2

Rating

0

Installs

Backend Development

Category

Quick Review

This skill provides comprehensive task knowledge for implementing database audit logging with detailed steps covering requirement definition, strategy selection, schema design, implementation, and validation. The step-by-step instructions are thorough and include multiple audit approaches (triggers, application-level, CDC, native logs) with trade-offs. However, descriptionCoverage is somewhat limited - the trigger phrases are clear but the description could better specify supported databases and output artifacts. Structure has issues: SKILL.md references many files (templates/postgresql-audit-trigger.sql, queries/compliance-reports/, docs/) that don't exist in the provided directory tree, though per instructions this isn't penalized; the actual scripts/ folder contains different files (audit_log_generator.py, audit_log_analyzer.py) that aren't mentioned in SKILL.md, creating a disconnect. The skill has low novelty - while useful, implementing database audit logging is a well-documented task that a capable CLI agent could accomplish with standard database documentation and scripting, though the structured approach and pre-built templates add some value for complex compliance scenarios.

LLM Signals

Description coverage6
Task knowledge8
Structure5
Novelty3

GitHub Signals

1,046
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Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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jeremylongshore

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