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Core

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/57-dgunning-edgartools/skills/core

Query and analyze SEC filings using EdgarToolsFrom its SKILL.md

Install
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill core

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

1.3 KB, 336 tokens by cl100k_base, as published. Nobody here has run it

EdgarTools

Analyze SEC filings and financial statements.

Skills

SkillPurpose
core (this directory)Company lookup, filings, search
financials/Financial statements and metrics
reports/10-K/10-Q/8-K section extraction
holdings/13F institutional holdings
ownership/Form 3/4/5 insider transactions
xbrl/Low-level XBRL facts and concepts
forms.yamlSEC form type mappings

Each skill directory has skill.yaml (patterns and examples) and sharp-edges.yaml (common mistakes to avoid).

Quick Setup

from edgar import set_identity
set_identity("Your Name [email protected]")  # Required

API Discovery

Every object has .docs for API reference:

company.docs                    # Full API guide
company.docs.search("filings")  # Search for specific topic
filing.docs.search("xbrl")      # How to access XBRL

Common Entry Points

from edgar import Company, get_filings, find

company = Company("AAPL")           # By ticker
filing = find("0000320193-25-000079")  # By accession
filings = get_filings(form="10-K", year=2024)  # Discovery

What ships with it: 6 files

24.3 KB alongside SKILL.md, 1 of them executable

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.