AlphaGBM Skills
A set of skills for stock and options analysis via the AlphaGBM API: quotes, strategy scoring, Greeks, volatility and research notes
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- Last commit
- MIT
Extended access
Why this level
- Calls the external AlphaGBM API with your key and sends requests to it
- Touches financial data and decisions while not replacing a financial adviser
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add skills/alphagbm-skillsDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Calls the external AlphaGBM API with your key and sends requests to it
- Touches financial data and decisions while not replacing a financial adviser
This is third-party code. Review the repository files before installing.
What it does
A set of 29 skills connects the agent to the AlphaGBM market API and adds ready analysis scenarios. There is model-based stock analysis, options strategy scoring from 0 to 100, Greeks calculation, implied volatility surface and smile, a profit and loss simulator and a market sentiment panel. Separate skills maintain a personal research base: company profiles, investment theses with sell triggers, themes and a weekly audit. Skills reference each other and chain together, for example from stock analysis to options scoring to position simulation. Live data needs an API key, and a demo mode on bundled samples for a few tickers is available for a first look.
Who it is for. For traders and investors who want to run stock and options analysis from an agent using AlphaGBM data and metrics.
Good fit when
- You need a stock breakdown or options strategy scoring from market data
- You need Greeks, implied volatility or a position simulation
- You want to keep a research base of companies and theses inside the agent
Not a fit when
- You want ready trade decisions: the skills give analysis and a risk score, not a buy or sell recommendation
- You have no AlphaGBM API key and the demo samples do not cover the tickers you need
Example request
Analyze AAPL with AlphaGBM and show the risk scoreLimitations
Live data goes through the AlphaGBM API and needs a key in the agbm_ format and registration on the vendor site; calls use the account behind your key rather than a separate skills allowance. Access, quotas and market coverage depend on the endpoint, and some research material may be gated behind paid access. The risk score is a number from 0 to 10, not a probability of return; the skills do not replace a financial adviser and do not give personal investment recommendations. Demo mode runs on stored samples and is not a current quote. Endpoint reachability from Russia without a VPN was not verified.
How to disable. Remove the skills directory, for example .claude/skills/alphagbm or .cursor/skills/alphagbm. If installed as a git submodule, remove the submodule. Uninstall the CLI via pip uninstall.
FAQ
Can I try it without a key?
Yes, there is a demo mode on bundled samples for a few tickers such as AAPL, NVDA, SPY, TSLA and META. These are stored data, not a current quote; live data needs an API key.
Are these trade recommendations?
No. The skills provide analysis, metrics and a risk score. The risk score is not a probability of return or a buy signal.
Discussion
No questions or reviews yet.
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README in short
The README presents AlphaGBM Skills as an access layer to AlphaGBM market data for agents. The set has 29 skills grouped into analysis and research, data and volatility, workflow tools, risk and portfolio discipline, famous-investor style breakdowns and a research knowledge base. Installation is by cloning into the agent's skills directory, with support for Claude Code, Cursor, Windsurf, Codex and others, plus a separate Python CLI. Live data connects via an API key and the vendor base URL, and without a key a demo mode on bundled samples is available. The README stresses that the risk score is not a probability of return and that access to some material depends on the account. MIT licensed.
README badge
Original SKILL.md
--- name: alphagbm-stock-analysis description: > AI-powered stock analysis using AlphaGBM's fundamentals, valuation, market sentiment and risk analysis with real market data. Returns an evidence-backed analysis and risk score. Use when: analyzing any stock ticker, evaluating buy/sell decisions, comparing stock fundamentals, assessing risk levels. Triggers on: "analyze AAPL", "what do you think about NVDA", "should I buy TSLA", "stock analysis for META", "is SPY overvalued", "risk assessment for GOOGL". globs: - "mock-data/*.json" --- # AlphaGBM Stock Analysis Analyze stocks via the AlphaGBM API — a G = B + M (Gain = Basics + Momentum) model combining fundamental analysis, market sentiment, EV expectation, ATR stop-loss, sector rotation, and AI reports. The current API exposes a 0-10 risk score, not a standalone 1-10 stock opportunity score. Do not present risk.score as a probability of return or as an automatic buy recommendation.