Fundamentals

Pulls fundamental financial data from Yahoo Finance including income statements, balance sheets, earnings, and key metrics like P/E and market cap. Also calculates Piotroski F-Score, which runs nine financial health checks against a company's recent statements to give you a 0-9 rating on its fundamental strength. Useful when you need to quickly size up a stock's financials or screen for value plays with improving fundamentals. The F-Score breakdown is solid for spotting companies with strong cash flow, decreasing debt, and improving margins. All timestamps default to New York time, which makes sense for US market data.

skills.sh installs: 182
GitHub stars: 406
last updated: Aug 21, 2026

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Install

$ npx -y skills add staskh/trading_skills --skill fundamentals --agent claude-code

Installs into .claude/skills of the current project.

Files

Fundamentals

Fetch fundamental financial data from Yahoo Finance.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

uv run python scripts/fundamentals.py SYMBOL [--type TYPE]

Arguments

SYMBOL - Ticker symbol
--type - Data type: all, financials, earnings, info (default: all)

Output

Returns JSON with:

info - Key metrics (market cap, PE, EPS, dividend, etc.)
financials - Recent quarterly/annual income statement data
earnings - Historical and estimated earnings

Present key metrics clearly. Compare actual vs estimated earnings if relevant.

Piotroski F-Score

Calculate Piotroski's F-Score to evaluate a company's financial strength using 9 fundamental criteria.

Instructions

uv run python scripts/piotroski.py SYMBOL

What is Piotroski F-Score?

Piotroski's F-Score is a fundamental analysis tool developed by Joseph Piotroski that evaluates a company's financial strength using 9 criteria. Each criterion scores 1 point if passed, 0 if failed, for a maximum score of 9.