caatt

Automate audit techniques for permission, change log, and anomaly analysis.

2|Updated May 18, 2026
One-click install
npx skills add https://github.com/lm93129/claude-for-audit --skill caatt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caatt
Source: https://github.com/lm93129/claude-for-audit/tree/main/it-audit/skills/caatt
Command: npx skills add https://github.com/lm93129/claude-for-audit --skill caatt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, sqlalchemy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates Computer Assisted Audit Techniques (CAATT), streamlining IT and business audits by increasing data coverage and repetitive execution capabilities.

Core Features & Use Cases

  • CAATT Automation: Executes CAATT through scripts, SQL, log analysis, permission comparison, and bulk rule scanning.
  • Use Case: For instance, it can analyze user-role-permission matrices to identify high-risk permission combinations or detect SoD conflicts in job and permission lists.

Quick Start

Run the CAATT analysis for the provided log file 'access.log'.

Frequently Asked Questions about caatt

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

FAQPage Schema
How do I automate IT audit log analysis for access logs using Python?

Automate IT audit log analysis by running Python scripts to process access logs, executing repetitive checks and scanning bulk rules to increase data coverage. This approach detects anomalies and identifies permission conflicts without manual review.

What is CAATT automation and how does it streamline business audits?

CAATT automation uses Computer Assisted Audit Techniques to streamline business audits by executing scripts for bulk reconciliation and log analysis. It enhances repetitive execution capabilities, expanding data coverage for comprehensive IT and financial reviews.

How do I analyze a user-role-permission matrix to detect SoD conflicts?

Analyze a user-role-permission matrix by scanning permission lists to identify high-risk permission combinations and detect Segregation of Duties conflicts. Scripts compare job and permission lists to flag violations across the dataset.

Can I use pandas and numpy for bulk reconciliation and anomaly pattern recognition?

Yes, you can use pandas and numpy for bulk reconciliation and anomaly pattern recognition. These dependencies process large datasets, enabling scripts to execute repetitive scans and detect irregular patterns within change logs.

What is the best way to perform change log analysis for IT audits?

The best way to perform change log analysis is through automated script execution that scans logs for anomaly patterns. This ensures repetitive execution across high data volumes, identifying irregular changes efficiently.

Do I need SQLAlchemy to execute permission list comparisons?

You need SQLAlchemy to connect Python scripts to databases for permission list comparisons. It enables automated extraction of user-role data, allowing scripts to scan for high-risk combinations and SoD conflicts.