Show HN: Ford's $1.3B USMCA risk, priced from prediction markets (open source)

Category: other

Tags: prediction-markets, risk-analysis, agent-skills, python, elections

Score: 5.8/10 (Innovation: 6, Technical: 5, Documentation: 8, Utility: 4)

election-risk is a collection of Agent Skills that instruct coding agents to research a company's profit structure, map relevant 2026 US election policies, pull prediction market odds from Kalshi and Polymarket, and produce two risk verdicts with sources. It provides a small Python engine for deterministic calculations and an orchestrated multi-agent workflow. The niche focus on election-driven corporate risk is interesting but limited in scope.

Target audience: financial analysts, policy researchers, and developers interested in agent-based analysis workflows

Repository: https://github.com/juwonyee/election-risk · Python · MIT · 2 stars

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