ClawHub

IR PDF Downloader

Knowledge
#financial-analysis#pdf-document

Discover and download static PDF files from Investor Relations (IR) sites, including annual reports and quarterly result PDFs. Use when the task is to find a PDF URL, probe common IR PDF paths, query Wayback for archived PDF links, or download a known static PDF document. Do not use for structured SEC/XBRL financial analysis; use sec-finance for that.

Install

openclaw skills install @wangwllu/ir-pdf-downloader

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

# 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.
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