What data sources does the Financial Data Collector use?

The skill primarily utilizes yfinance for market data, historical financials, and analyst estimates, alongside the ^TNX ticker for 10Y Treasury yields.

How does the skill handle missing financial data?

It follows a strict 'no fallback' policy. If data is missing, the field is set to null with a source attribute of 'missing' rather than substituting a default value.

Does it handle CapEx and Free Cash Flow (FCF) correctly?

The skill preserves the original yfinance sign convention for CapEx (negative for outflow) and includes metadata notes clarifying that yfinance FCF does not deduct Stock-Based Compensation (SBC).

Is the output compatible with other financial analysis tools?

Yes, the skill produces a standardized JSON file specifically designed to be consumed by downstream skills for DCF modeling, comps analysis, and earnings reviews.

Can I validate the data before using it in a model?

The skill includes a built-in validation script that checks for field completeness, cross-field consistency, range sanity, and proper sign conventions.

Financial Data Collector

Name: Financial Data Collector
Author: daymade

bydaymade

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760

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Web Scraping y Recopilación de Datos

Automates the collection and validation of standardized financial data for US publicly traded companies from free public sources.

This skill provides a robust framework for Claude to retrieve, validate, and structure real-time and historical financial data for US public companies. It serves as an essential data-gathering layer for complex financial workflows, extracting income statements, balance sheets, cash flow statements, and analyst estimates via yfinance. By enforcing strict data integrity rules—such as mandatory source attribution, preservation of CapEx sign conventions, and a 'no-fallback' policy for missing values—the skill ensures that downstream analysis tools like DCF models and earnings reviews receive accurate, machine-readable JSON data without arbitrary defaults.

Características Principales

01Comprehensive data validation for field consistency and range sanity

02Standardized JSON output optimized for financial modeling and analysis

03Automated extraction of historical financials and market data via yfinance

04Integrated 10Y Treasury yield retrieval for risk-free rate calculations

05Strict metadata flagging for CapEx conventions and FCF calculations

06760 GitHub stars

Casos de Uso

01Performing rapid comparable company analysis with consistent financial metrics

02Generating structured data inputs for automated DCF and valuation modeling

03Gathering historical performance and analyst estimates for earnings reviews

Características Principales

01Comprehensive data validation for field consistency and range sanity

02Standardized JSON output optimized for financial modeling and analysis

03Automated extraction of historical financials and market data via yfinance

04Integrated 10Y Treasury yield retrieval for risk-free rate calculations

05Strict metadata flagging for CapEx conventions and FCF calculations

06760 GitHub stars

Casos de Uso

01Performing rapid comparable company analysis with consistent financial metrics

02Generating structured data inputs for automated DCF and valuation modeling

03Gathering historical performance and analyst estimates for earnings reviews