historical-bayesian-html-briefing

Bayesian forecasting applies explicit probabilities and base rates to evidence gathered from historical data. This skill enforces tool-based math to generate rigorous updates and a versioned history for your predictions.

You validate the forecast ledger by running the included scripts to enforce rigorous validation checks. This ensures artifact integrity and confirms the provenance trail is intact before HTML rendering.

Yes, you can apply base rates to historically grounded questions across social, economic, geopolitical, and technical domains. The skill requires explicit probabilities and evidence for each forecast update.

The best way to maintain an auditable provenance trail is storing predictions as a machine-readable ledger. This approach captures outside-view base rates, Bayesian updates, and market deltas with versioned update history.

Yes, the workflow operates without external dependencies by using internal scripts and references. It scaffolds forecasts, validates the ledger, and renders the HTML briefing entirely through built-in tooling.