check-odds

Aggregates real-time crypto, stock, and event predictions from multiple market platforms into a single probability forecast.

2|Updated Oct 30, 2025
One-click install
npx skills add https://github.com/zachmayer/skills --skill check-odds
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: check-odds
Source: https://github.com/zachmayer/skills/tree/main/.claude/skills/check-odds
Command: npx skills add https://github.com/zachmayer/skills --skill check-odds

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, jq.

What problem does it solve?

This skill resolves uncertainty about future events by aggregating and synthesizing data from multiple prediction markets, preventing reliance on single-source bias or outdated information.

Core Features & Use Cases

  • Multi-Venue Synthesis: Combines data from Metaculus, Manifold, Polymarket, Kalshi, and PredictIt into a single weighted probability.
  • Structural Analysis: Evaluates market incentives, liquidity, and potential manipulation to provide a calibrated confidence score.
  • Use Case: When deciding on a project timeline, use this skill to check the current market probability of a specific regulatory or economic event occurring by a certain date.

Quick Start

Use the check-odds skill to determine the current market probability for the outcome of the upcoming FOMC interest rate decision.

Frequently Asked Questions about check-odds

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I aggregate real-time probability data from multiple prediction markets?

To aggregate real-time probability data from multiple prediction markets, use this skill to fetch and normalize data from various prediction market APIs. It synthesizes information from platforms like Metaculus and Polymarket into a single weighted probability.

What is prediction market synthesis and how does it handle market manipulation?

Prediction market synthesis combines odds from multiple platforms into a single calibrated forecast. It handles market manipulation by evaluating market incentives, liquidity, and potential structural biases to provide an adjusted confidence score.

Do I need curl and jq to synthesize prediction market odds?

Yes, you need curl and jq installed in your environment to synthesize prediction market odds. These dependencies are required to execute HTTP requests and parse the JSON data returned from various prediction market APIs.

Can I combine forecasting data from Metaculus, Manifold, and Kalshi into one probability?

Yes, you can combine forecasting data from Metaculus, Manifold, and Kalshi into one probability. The skill performs multi-venue synthesis to merge data from these platforms, alongside Polymarket and PredictIt, into a single weighted probability.

What is the best way to check market probability for regulatory or economic events?

The best way to check market probability for regulatory or economic events is using multi-venue synthesis. This approach prevents reliance on single-source bias or outdated information by aggregating calibrated forecasts across diverse prediction platforms.

How do I evaluate market liquidity and structural biases when forecasting future events?

To evaluate market liquidity and structural biases when forecasting future events, apply structural analysis to the aggregated data. This assesses market incentives and potential manipulation across platforms to provide a calibrated confidence score for decision-making.