US Government & Legal Data Skill

This skill allows you to retrieve official documents from US government sources, essential for due diligence and regulatory research.

Capabilities

1. SEC EDGAR: Retrieve 10-K (Annual) and 10-Q (Quarterly) filings for public companies.
2. Federal Register: (Future) Check for new agency rules.
3. Text Extraction: Convert HTML filings to raw text for analysis.
4. Section Targeting: Extract specific sections like "Risk Factors" automatically.
5. Company Search: Query by name (e.g., "Google" for Alphabet Inc.) if ticker is unknown.

Usage

Run the python script fetch_filing.py to retrieve SEC documents.

Arguments

• ticker (required): The stock symbol (e.g., AAPL) or partial company name.
• --type (optional): Form type (default "10-K").
• --count (optional): Number of filings to retrieve (default 1).
• --clean-text (optional): Set this flag to download and strip HTML tags.
• --section (optional): "risk" (Risk Factors) or "mda" (Management Discussion). Implies --clean-text.

Example

# Get the text of "Risk Factors" for Google
python3 fetch_filing.py "Google" --type 10-K --section risk

# Get text for Tesla 10-Q
python3 fetch_filing.py TSLA --type 10-Q --clean-text

Output Format

The script outputs a JSON object containing:

• cik: Central Index Key
• company_name
• filings:
  • primaryDocumentUrl: Direct link to the HTML document.
  • content: The extracted text (truncated or fully extracted section).

Tips for the Agent

• HTML takes space: Only use --clean-text if you plan to read the content. It makes the requested slower (extra HTTP call).
• Name Search: You can now pass "Microsoft" instead of "MSFT".