Catastrophe Model Validation Assistant
Validate catastrophe models with automated testing and compliance checks
What You Can Do
This skill automates the validation of catastrophe risk models by testing parameter assumptions, verifying output accuracy, and documenting compliance with industry standards. You provide your model specifications, historical data, and outputs—Claude generates comprehensive validation reports, identifies assumption inconsistencies, and flags compliance gaps. It streamlines the governance process and reduces manual review time.
Features
Automatically test model parameters (hazard curves, vulnerability functions, financial terms) against industry benchmarks and your specifications
Compare modeled loss predictions against actual historical claims to identify systematic biases or outliers
Systematically verify all model assumptions (peril correlations, coverage limits, deductibles) and document their justification
Cross-reference model against regulatory requirements (Solvency II, insurance accounting standards, internal governance)
Guide you through stress-testing critical assumptions and document how changes in key parameters affect results
Produce professional validation reports with executive summary, findings, remediation actions, and sign-off templates
Create standardized templates for model assumptions, methodology, and validation procedures to support audits
Example Output
Validation Report: Hurricane Model Q3 2026
Executive Summary
- Model Status: Conditionally Approved ✓
- Critical Issues: 0 | Non-Critical: 2 | Recommendations: 3
- Overall Compliance: 96%
Key Findings
- Parameter Drift — Hazard curve intensities 8% below 2025 baseline; recommend update
- Loss Correlation — Modeled wind-storm correlation (0.65) exceeds historical (0.52); sensitivity analysis shows 12% impact
- Coverage Compliance — Deductible logic verified; all attachment points within policy terms
Assumptions Validated
- [✓] Peril independence assumptions
- [✓] Claims inflation adjustment (3.2% YoY)
- [⚠] Ground-up loss calibration (see remediation)
Remediation Actions
- Re-calibrate hazard curves against 2024-25 events (due: 2026-09-15)
- Document correlation assumption rationale in model governance file
What's Included
- Validation Checklist: Comprehensive checklist covering parameter ranges, assumption documentation, output verification, and compliance requirements
- Report Template Generator: Pre-structured templates for validation reports, findings summaries, and remediation action logs
- Assumption Testing Framework: Structured prompts to systematically verify correlations, coverage terms, financial assumptions, and peril interactions
- Compliance Rules Reference: Quick-reference guides for Solvency II, insurance accounting standards, and governance best practices
- Historical Comparison Tools: Templates for comparing modeled vs. actual losses by peril, geography, and claim size
Who It's For
- Actuaries and Risk Modelers
- Insurance Model Validators
- Enterprise Risk Officers
- Catastrophe Risk Specialists
- Compliance and Audit Teams
Best For
- Pre-release model validation and governance approval
- Annual model recalibration and testing
- Assumption change impact analysis
- Regulatory compliance audits
- Model documentation and assumption justification
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