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SDK exposing RAND Forecasting Initiative (RFI) data: crowd probabilities, individual forecaster predictions with rationales, and comments for policy-relevant fo
Provides an SDK client for accessing the RAND Forecasting Initiative (RFI) platform: list forecasting questions, read crowd probabilities and individual prediction sets with rationales, fetch comments, and perform cutoff-date backtests. Useful for policy, security, and forecast research where calibrated crowd probabilities are needed.
Use this skill when you need structured access to forecasting questions and forecasts for geopolitics, national security, science & technology policy, or when performing backtests and trend analysis using crowd-based probability data.
Well-suited for analysis and research agents that can call SDKs (Python-capable agents); integrates with Claude-style skills and other code-capable agent runtimes.
SDK skill for accessing the RAND Forecasting Initiative platform to query forecasting questions, crowd probabilities, and individual predictions. No bundled scripts — purely a documentation/reference skill pointing to an external Python SDK. SKILL.md is well-structured with clear method descriptions and usage patterns, but requires RFI_EMAIL and RFI_PASSWORD env vars which limits immediate usability. Niche audience focused on policy/geopolitical forecasting.
Clean skill with no security concerns. No scripts to execute. The skill is documentation-only, referencing an external Python SDK. Architecture is decent with frontmatter and organized sections, but lacks scripts/ or references/ directory content beyond a mention of references/methods.md. Usefulness is moderate — forecasting is niche but valuable for policy/geopolitics analysis.
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