Agent Skills: Fraud Risk Assessor

Fraud risk assessment skill based on the fraud triangle with red flag detection

auditID: a5c-ai/babysitter/fraud-risk-assessor

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plugins/babysitter/skills/babysit/process/specializations/domains/business/finance-accounting/skills/fraud-risk-assessor/SKILL.md

Skill Metadata

Name
fraud-risk-assessor
Description
Fraud risk assessment skill based on the fraud triangle with red flag detection

Fraud Risk Assessor

Overview

The Fraud Risk Assessor skill provides comprehensive fraud risk assessment capabilities based on the fraud triangle framework. It enables red flag identification, data analytics for anomaly detection, and systematic fraud risk evaluation.

Capabilities

Fraud Triangle Analysis

  • Pressure/incentive identification
  • Opportunity assessment
  • Rationalization indicators
  • Risk factor documentation
  • Industry-specific considerations
  • Management override risk

Red Flag Identification

  • Financial statement red flags
  • Behavioral indicators
  • Operational anomalies
  • Control environment weaknesses
  • Related party concerns
  • Going concern indicators

Data Analytics for Anomaly Detection

  • Transaction pattern analysis
  • Unusual relationship identification
  • Trend deviation detection
  • Outlier identification
  • Clustering analysis
  • Network analysis

Benford's Law Analysis

  • First digit analysis
  • Second digit testing
  • First-two digits examination
  • Conformity testing
  • Deviation significance
  • Result interpretation

Duplicate Detection

  • Exact match identification
  • Fuzzy matching
  • Near-duplicate detection
  • Vendor duplicate analysis
  • Payment duplicate screening
  • Employee duplicate review

Journal Entry Testing

  • Manual entry identification
  • Non-standard timing
  • Round number analysis
  • Unusual account combinations
  • User behavior analysis
  • Close period entries

Usage

Fraud Risk Assessment

Input: Entity information, industry factors, control environment
Process: Evaluate fraud triangle factors, identify red flags
Output: Fraud risk assessment report, high-risk areas, testing focus

Forensic Data Analysis

Input: Transaction data, population characteristics, risk areas
Process: Apply analytics, identify anomalies, investigate exceptions
Output: Anomaly report, investigation recommendations, findings

Integration

Used By Processes

  • Fraud Risk Assessment and Investigation
  • Internal Audit Planning and Execution
  • SOX Compliance and Testing

Tools and Libraries

  • Forensic analytics tools
  • Benford's law libraries
  • Data analytics platforms
  • Investigation management tools

Best Practices

  1. Maintain confidentiality throughout assessment
  2. Document all red flags with supporting evidence
  3. Consider industry-specific fraud schemes
  4. Update risk assessment for changes
  5. Coordinate with legal counsel as appropriate
  6. Preserve evidence chain of custody