Fetches RAND Forecasting Initiative data via a Python SDK for questions, predictions, and comments.
npx skills add https://github.com/chestnutforty/sdk-rfi --skill rfi
Please help me install this Agent Skill. Skill: rfi Source: https://github.com/chestnutforty/sdk-rfi/tree/main/skills/sdk-rfi Command: npx skills add https://github.com/chestnutforty/sdk-rfi --skill rfi
The SDK provides programmatic access to RAND's Forecasting Initiative data, enabling developers to fetch questions, crowd probabilities, and rationales for integration into apps without manual data extraction.
Install sdk-rfi and instantiate Client to begin listing questions and viewing forecasts.
High-intent search queries and answers about installing and using this skill.
You can fetch RAND Forecasting Initiative crowd predictions by installing the sdk-rfi Python package and instantiating the Client to call endpoints for listing questions, prediction_sets, and comments.
Yes, you can retrieve historical forecasting data for backtesting by supplying a cutoff_date parameter to the API methods, which allows you to review prediction_sets as they existed at a specific date.
The SDK provides endpoints for listing and retrieving forecasting questions with crowd probabilities, fetching individual prediction_sets with rationales, and accessing related comments.
No external dependencies are required to use the sdk-rfi Python library, as the Skill is designed to be self-contained for fetching forecasting data and rationales.
You get forecaster rationales and comments by calling the prediction_sets and comments methods through the Python SDK Client, retrieving detailed explanations alongside crowd probabilities.
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