Extract structured information from SEC filings and cross-reference databases.
npx skills add https://github.com/tcole333/ithildin --skill analyze-filing
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
This skill solves the problem of efficiently analyzing SEC filings to extract structured information, such as officers, subsidiaries, and risk disclosures.
Analyze the SEC filings for 'Palantir Technologies' by using the command: /analyze-filing "Palantir Technologies"
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
mohitjandwaniFetch and parse U.S. SEC filings from the EDGAR database using Python.
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OctagonAIAnalyze SEC governance disclosures from proxy statements using Octagon MCP.
644408071-designExtract financial data and risk factors from SEC EDGAR filings.
