Guides agents in framing, selecting, validating, diagnosing, and communicating actuarial and financial risk models, including GLMs, frequency-severity, survival, time series, reserving, calibration, tail risk, and governance.
Use when analyzing, selecting, validating, or communicating models for insurance, actuarial, financial-risk, or other consequential uncertain outcomes. Covers regression, generalized linear models, frequency-severity, panel and longitudinal data, survival, time series, credibility, reserving, tail risk, calibration, and model governance. Do not use for generic software forecasting, ordinary SaaS financial models, or credentialed actuarial, investment, legal, or regulatory advice without the relevant specialist review.
evals/evals.json
JSON
Other
README.md
Markdown
Other
templates/model-brief.md
Markdown
Other
templates/model-governance-record.md
Markdown
Other
templates/model-report.md
Markdown
Other
templates/validation-plan.md
Markdown
Reference
references/applications-and-governance.md
Markdown
Reference
references/diagnostics-and-communication.md
Markdown
Reference
references/model-families.md
Markdown
Reference
references/problem-framing.md
Markdown
Reference
references/source-index.md
Markdown
Reference
references/validation-and-calibration.md
Markdown
Script
scripts/risk_preflight.py
Python
Script
scripts/temporal_split_audit.py
Python
Script
scripts/test_risk_scripts.py
Python
SKILL.md
SKILL.md
Markdown
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