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journal-entry-testing

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Identify and test anomalous journal entries for fraud risk.

Finance & Accounting#audit#data analysis#risk assessment#journal entry#fraud detection
Authorlm93129
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill identifies and tests anomalous journal entries to uncover fraud risks during auditing processes.

Core Features & Use Cases

  • Anomaly Detection: Automatically identifies abnormal journal entries based on predefined rules.
  • Audit Phases Applicability: Suitable for use in various audit phases, including risk assessment and substantive procedures.
  • Regulatory Compliance: Adheres to the requirements of CSA 1240 (Responsibility for Fraud in Financial Statement Audits).
  • Data Analysis: Utilizes data analysis to pinpoint potential fraudulent activities.
  • Use Case: For example, it can help auditors quickly identify irregularities in a company's financial records, which may indicate fraudulent activities.

Quick Start

Run the journal-entry-testing skill with the attached sequential ledger or account detail ledger.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: journal-entry-testing
Download link: https://github.com/lm93129/claude-for-audit/archive/main.zip#journal-entry-testing

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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