analyze-filing

Extract structured information from SEC filings and cross-reference databases.

Updated Feb 18, 2026

Search Tags:#financial analysis #SEC EDGAR #structured data extraction #investigation analysis #SEC filing analysis

Ready to run

npx skills add https://github.com/tcole333/ithildin --skill analyze-filing

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analyze-filing
Source: https://github.com/tcole333/ithildin/tree/main/.claude/skills/analyze-filing
Command: npx skills add https://github.com/tcole333/ithildin --skill analyze-filing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, uv, edgartools, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the problem of efficiently analyzing SEC filings to extract structured information, such as officers, subsidiaries, and risk disclosures.

Core Features & Use Cases

Deep Analysis: Reads and analyzes full SEC filings (10-K, proxy, 13D) to extract buried disclosures and related-party transactions.
Cross-Reference: Cross-references extracted information against investigation databases for comprehensive analysis.
Automated Process: Automates the process of identifying relevant filings, extracting data, and cross-referencing to streamline the analysis workflow.

Quick Start

Analyze the SEC filings for 'Palantir Technologies' by using the command: /analyze-filing "Palantir Technologies"

Frequently Asked Questions about analyze-filing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract structured data like officers and subsidiaries from SEC 10-K filings?▼

To extract structured data from SEC 10-K filings, you can automate the process of reading and analyzing full SEC documents to identify officers, subsidiaries, related-party transactions, and risk factors. This approach cross-references extracted information against investigation databases for comprehensive analysis.

Can I cross-reference SEC EDGAR filings with investigation databases for related-party transactions?▼

Yes, you can cross-reference SEC EDGAR filings with investigation databases. This process automates extracting buried disclosures and related-party transactions from full filings like 10-K, proxy, and 13D, cross-referencing the data for detailed investigation analysis.

What's the best way to automate reading full SEC proxy and 13D filings for risk factors?▼

The best way to automate reading SEC proxy and 13D filings is to use a structured extraction process that identifies relevant filings, extracts structured information like risk disclosures, and cross-references it against databases to streamline the analysis workflow.

Do I need Python and edgartools to analyze SEC filings for structured intelligence?▼

Yes, you need Python and edgartools to analyze SEC filings for structured intelligence. This environment provides the necessary dependencies to automate reading, extracting, and cross-referencing full SEC filings like 10-K, proxy, and 13D documents.

Does this approach work for extracting financials and buried disclosures from SEC 10-K documents?▼

Yes, this approach works for extracting financials and buried disclosures from SEC 10-K documents. Deep analysis of full filings automates the extraction of structured information including officers, subsidiaries, risk factors, and related-party transactions for detailed analysis.