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IR PDF Downloader

Name: IR PDF Downloader
Author: wangwllu

作者 Lu Wang · GitHub ↗ · v0.1.0 · MIT-0

cross-platform ✓ 安全检测通过

143

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ir-pdf-downloader

功能描述

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...

使用说明 (SKILL.md)

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

If the PDF URL is already known, use download_ir_pdf.py directly.
If only the company or IR domain is known, use find_ir_pdf.py to discover likely URLs.
If discovery succeeds, pass the resulting URL to download_ir_pdf.py.
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.

安全使用建议

This skill appears coherent with its purpose, but before installing/running consider: (1) it will make outbound HTTP requests to archive.org, sec.gov and arbitrary IR domains and will write files to disk — run in a controlled environment if you are cautious; (2) the downloader sets Referer and other headers to access PDFs behind basic protections (intended to retrieve IR PDFs) — do not use it to bypass access controls for non-public content; (3) review the included Python scripts (they are short and readable) before use and ensure you have the 'requests' package installed; (4) verify you have permission to download large numbers of files from target sites to avoid rate-limiting or terms-of-service issues.

能力评估

✓ Purpose & Capability

Name/description match the implementation: scripts search Wayback, probe IR domains, query SEC EDGAR for PDF links and download static PDF URLs. Included issuer hints (references/issuers.json) are used by discovery logic and align with the described scope.

✓ Instruction Scope

SKILL.md instructs running the included scripts to discover or download PDFs and explicitly limits scope (no structured XBRL/finance). The scripts perform network requests only to web.archive.org, sec.gov, and target IR domains, and write downloaded PDFs to disk. They do not read unrelated system files or request unrelated environment variables.

✓ Install Mechanism

No install spec is provided (instruction-only). The code requires the standard 'requests' Python package and prints guidance to install it if missing — a low-risk dependency. Nothing is downloaded from arbitrary URLs during install.

✓ Credentials

The skill requests no environment variables, secrets, or external credentials. All network access is explained by the stated purpose (Wayback, SEC EDGAR, IR domains). There are no config paths or tokens requested that would be disproportionate.

✓ Persistence & Privilege

always is false and the skill is user-invocable. The scripts write downloaded PDF files to a local 'downloads' directory (or a user-specified output) — this is expected behavior and does not modify other skills or system configuration.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install ir-pdf-downloader
安装完成后，直接呼叫该 Skill 的名称或使用 /ir-pdf-downloader 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v0.1.0

Initial public release after scope refactor, structure cleanup, and package validation.

元数据

Slug ir-pdf-downloader

版本 0.1.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题