Aggregate six market signals into a 0–100 fear score per ticker.
npx skills add https://github.com/AlphaGBM/skills --skill alphagbm-fear-score
Please help me install this Agent Skill. Skill: alphagbm-fear-score Source: https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-fear-score Command: npx skills add https://github.com/AlphaGBM/skills --skill alphagbm-fear-score
Per-ticker panic metrics are hard to assemble and track across multiple symbols; this Skill aggregates six real signals into a single, interpretable fear score to guide options timing.
Use FearScore to analyze a ticker and retrieve the full component breakdown, threshold, and signal status.
High-intent search queries and answers about installing and using this skill.
A composite fear score combines six indicators—VIX level, IV Rank, RSI-14, volume anomaly, Put/Call ratio, and consecutive-down days—into a 0–100 metric. This aggregation provides an interpretable measure of per-ticker market panic to guide options timing decisions.
Identify Bull Put Spread entries by applying a threshold to a composite fear score. A default threshold of 60 highlights potential entry opportunities, providing an explainable component breakdown so you can verify which indicators drove the signal.
Retrieve a full component breakdown by requesting the fear score API endpoint with a specific ticker symbol. The response returns the individual values for all six aggregated signals, the total score, the threshold, and the current signal status.
Yes, you can test options risk metrics using the included mock-data option. This allows you to validate the fear score calculation logic and API structure offline without needing a live data feed for US market tickers.
Yes, the per-ticker panic index supports analysis across US market symbols. It features an API-ready structure designed to process live data feeds, returning a 0–100 fear score with a full signal breakdown for the requested ticker.
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