Audit fraud dataset for quality
fraud-qualitysubagentsetup L1★0
ai-criticality-index/analytical-runbook ↗What it does
Audit data quality and leakage
Best for
When detecting data quality issues and leakage patterns in fraud datasets.
Inputs
- · source files or paths
- · configuration parameters
- · CSV datasets
Outputs
- · markdown report or analysis
- · generated source files
Requires
- · bash execution
- · file reading
- · file writing
Preconditions
- · Project files accessible and readable
Failure modes
- · Input files missing or unreadable
Trust signals
- · References established patterns
- · Enforces strict validation rules
- · CI/CD automation ready