alphagbm-options-score

Score US equity option contracts across strategies using AlphaGBM's multi-factor model.

1.7k|225|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/AlphaGBM/skills --skill alphagbm-options-score
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alphagbm-options-score
Source: https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-options-score
Command: npx skills add https://github.com/AlphaGBM/skills --skill alphagbm-options-score

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the evaluation and ranking of option contracts across tickers using a robust multi-factor scoring framework, helping traders identify high-quality opportunities quickly.

Core Features & Use Cases

  • Multi-factor scoring across four strategies: Sell Put, Sell Call, Buy Call, Buy Put.
  • Transparent score breakdowns covering liquidity, IV attractiveness, Greeks balance, risk/reward, and risk-return profiles.
  • Supports chain-level analysis, single-option analysis, batch processing, and async/sync workflows via endpoints.

Quick Start

Ask your AI to score an options chain, for example "score AAPL options".

Frequently Asked Questions about alphagbm-options-score

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

FAQPage Schema
How do I score options chains to find the best contracts across multiple tickers?

Options scoring uses a multi-factor model evaluating liquidity, IV attractiveness, Greeks balance, and risk-reward to rank contracts across tickers. It supports Sell Put, Sell Call, Buy Call, and Buy Put strategies with transparent score breakdowns.

What factors are used to analyze and rank option contracts?

Option contract analysis ranks opportunities using transparent score breakdowns covering liquidity, implied volatility attractiveness, Greeks balance, risk/reward, and risk-return profiles. These factors combine to identify high-quality opportunities across US equity options.

Can I run batch operations and asynchronous options analysis?

Yes, you can run batch operations and asynchronous options analysis. The scoring model supports synchronous and asynchronous chain analysis workflows, single-option enhancement, reverse-score operations, and batch processing across multiple tickers and expirations.

Do I need an API key to score live US equity options data?

Yes, you need an API key and base URL configuration to score live US equity options data via the AlphaGBM API. Without an API key, the scoring model still functions using built-in mock data for evaluation and testing.

How do I evaluate risk-reward profiles for different options strategies?

You evaluate risk-reward profiles by scoring option contracts across four strategies: Sell Put, Sell Call, Buy Call, and Buy Put. The multi-factor model provides transparent breakdowns of risk-return metrics and Greeks balance for each contract.