edgartools-sec-data Skill
How to pull SEC EDGAR data with the edgartools Python package — company lookup, filings, XBRL financial statements, and filing sections like Item 1A risk factors. Use whenever a task involves SEC filings, 10-K/10-Q data, or company financials. Published by anthropics in cwc-workshops.
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Data analysis, Research, Includes SKILL.md, Reusable instructions
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Copy skill directory
18 days ago · Apache-2.0 license
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What is edgartools-sec-data Skill?
How to pull SEC EDGAR data with the edgartools Python package — company lookup, filings, XBRL financial statements, and filing sections like Item 1A risk factors. Use whenever a task involves SEC filings, 10-K/10-Q data, or company financials. Published by anthropics in cwc-workshops. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Research
- Data analysis use cases
- Research use cases
Declared skill metadata
- Source file: research-desk/skills/edgartools/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use edgartools-sec-data Skill
- Use it for data analysis.
- Use it for research.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/cwc-workshops
- Skill file: research-desk/skills/edgartools/SKILL.md
What it does
How to pull SEC EDGAR data with the edgartools Python package — company lookup, filings, XBRL financial statements, and filing sections like Item 1A risk factors. Use whenever a task involves SEC filings, 10-K/10-Q data, or company financials.
Skill instructions
edgartools: SEC EDGAR data access edgartools is the desk's standard way to read SEC data. It is preinstalled in your environment. Work in Python (a script or python -c), not by fetching sec.gov pages by hand. Always set your identity first The SEC requires a contact identity on automated requests. Do this before any other call, every session: python from edgar import setidentity setidentity("Research Desk workshop attendee@example.com") use the EDGARIDENTITY value you were given (Equivalently, the EDGARIDENTITY environment variable, exported before running Python.) Companies and filings python from edgar import Company company = Company("NVDA") by ticker (or CIK) company.name, company.cik, company.industry filings = company.getfilings(form="10-K") also "10-Q", "8-K", "DEF 14A", ... latest10k = filings.latest() most recent of that form latest10q = company.getfilings(form="10-Q").latest() latest10k.form, latest10k.filingdate, latest10k.accessionno Pick whichever of the latest 10-K / 10-Q
Verified compatibility and discovery
Frequently asked questions
What is edgartools-sec-data?
edgartools-sec-data is a open-source AI agent skill with Copy skill directory. How to pull SEC EDGAR data with the edgartools Python package — company lookup, filings, XBRL financial statements, and filing sections like Item 1A risk factors.
Who is edgartools-sec-data best for?
edgartools-sec-data is best for reusing agent instructions, scripts, and references, data analysis workflows, research workflows.
How do I install edgartools-sec-data?
Install or run edgartools-sec-data using Copy skill directory. Check edgartools-sec-data for the latest setup command.
Is edgartools-sec-data actively maintained?
edgartools-sec-data may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
