# AlphaGBM/skills

Real-data options intelligence for AI agents — 29 Skills for Claude Code, Cursor & beyond

Repository: https://github.com/AlphaGBM/skills
Canonical: https://ross.abutalabs.com/products/alphagbm-skills
Homepage: https://www.alphagbm.com/skills
Language: Python
License: MIT
License Family: permissive
Last push: 2026-07-09T06:18:18+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 35, longevity 10
- inputs: {"age_days": 149, "days_push": 55, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2032, forks 252 (observed 2026-08-28T04:06:06.967854+00:00)

## What it is
A collection of 29 AI agent skills (plus a Python CLI) that provide real-data options and stock research intelligence for Claude Code, Cursor, and other skill-capable agents. It computes IV, Greeks, VRP, skew, and quantitative scoring from real market data across US, HK, CN, and commodity markets.

## Use cases
- analyze AAPL options with real market data
- score NVDA options quantitatively
- show TSLA volatility surface
- compute implied volatility and Greeks for a stock
- integrate options research into Claude Code or Cursor
- compare volatility risk premium across tickers

## When to choose
- you want verifiable, source-backed options analytics inside an AI agent workflow
- you need IV, Greeks, skew, and surface analysis without building your own data pipeline
- you trade or research US, HK, or CN options markets

## When to avoid
- you need a full trading execution or brokerage platform
- you require guaranteed real-time data without an API key for tickers beyond the built-in demo set
- you want a standalone GUI trading terminal

## Facets
- artifact type: plugin
- maturity: active
- function: agent-framework, analytics, trading, cli, data-science
- domain: fintech, artificial-intelligence, analytics
- platform: python, cli, cross-platform
- tags: options-trading, ai-skills, claude-code, cursor, market-data, volatility-analysis, greeks, quantitative-finance, ai-agents

## Member repositories
- AlphaGBM/skills (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.967854+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:59:28.050664+00:00, confidence not recorded.
  - readme: https://github.com/AlphaGBM/skills (fetched 2026-08-28T04:06:06.967854+00:00, sha a7578e934354)
  - homepage: https://www.alphagbm.com/skills (fetched 2026-08-29T10:39:19.819105+00:00, sha 0038adc31032)
- Data as of 2026-08-30T08:39:29.467469+00:00.