Extract actionable signals from SEC filings into structured research notes.
npx skills add https://github.com/erphq/skills --skill reading-10k-10q
Please help me install this Agent Skill. Skill: reading-10k-10q Source: https://github.com/erphq/skills/tree/main/investment-research/core/reading-10k-10q Command: npx skills add https://github.com/erphq/skills --skill reading-10k-10q
This skill helps investment researchers extract relevant signals from SEC filings (10-K, 10-Q, 8-K, proxy statements) by prioritizing the most informative sections and surfacing management's narrative alongside the data.
Provide a company's latest 10-K or 10-Q, and the skill will extract key sections, highlight risks, and generate a concise research note.
High-intent search queries and answers about installing and using this skill.
To extract signals from SEC filings, parse key sections like Item 1, MD&A, and financial statement footnotes to surface management's narrative alongside the data. This identifies red flags, material contingencies, and accounting changes.
The best way to find changes in risk factors is structured parsing of Item 1A in 10-K and 10-Q filings. This flags newly introduced or retired risks, enabling quick corroboration with EDGAR data for deep-dive diligence.
To validate management's narrative against the numbers, cross-check MD&A sections with notes to the financial statements. This structured parsing generates concise research notes highlighting thesis points and discrepancies.
Yes, you can use Item 1A and MD&A parsing for quarterly research across 10-Q and 10-K reports. It flags material contingencies and corroboration gaps, generating structured notes suitable for ongoing risk assessment.
SEC filing analysis works across 10-K, 10-Q, 8-K, and proxy statements. It prioritizes informative sections to extract actionable signals, validating narrative-to-numbers data to yield structured research payloads.
When analyzing SEC filings for investment research, prioritize must-read sections: Item 1, Item 1A, MD&A, and notes to the financial statements. This surfaces narrative-to-numbers validation and flags material contingencies.
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