IR PDF Downloader#

Use this skill for documents, not financial metrics.

Scope#

• Find likely PDF URLs from an IR domain
• Search Wayback Machine for archived PDF links
• Use SEC EDGAR only as a PDF discovery source
• Download known static PDF URLs with proper headers

Do not use this skill for#

• Revenue / net income / EPS analysis
• SEC XBRL/companyfacts queries
• Filing data normalization

Use sec-finance for those.

Core commands#

bash

# Download a known static PDF URL
python3 scripts/download_ir_pdf.py "https://ir.jd.com/static-files/..."

# Discover likely PDFs from an IR domain
python3 scripts/find_ir_pdf.py --domain ir.baidu.com --year 2024

# Search by company alias (uses shared issuer map when available)
python3 scripts/find_ir_pdf.py --company Alibaba

# Search only Wayback
python3 scripts/find_ir_pdf.py --domain ir.alibabagroup.com --sources wayback

Workflow#

1. If the PDF URL is already known, use download_ir_pdf.py directly.
2. If only the company or IR domain is known, use find_ir_pdf.py to discover likely URLs.
3. If discovery succeeds, pass the resulting URL to download_ir_pdf.py.
4. If the user actually wants structured financial numbers rather than the document itself, stop and switch to sec-finance.

Notes#

• Issuer hints for aliases, IR domains, and validated CIKs live in references/issuers.json.
• Keep this skill focused on PDF discovery and download.
• Do not duplicate structured-finance guidance here.