I

invoice-auto-forward

VERIFIED

by community

No community reviews yet
144,126,000installs
Updated Jul 2026

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Description

自动扫描邮箱(支持 QQ/163/126 等主流邮箱,provider 一键切换)里的发票邮件,解析发票(PDF/OFD/XML 三种格式)后按标准化模板转发给指定收件人(如财务/行政),支持抬头白名单过滤、定时无人值守运行、发送节奏控制(防反垃圾风控)。对「链接型发票」(邮件只有下载链接、无 PDF 附件,如腾讯云电子发票)也能自动扫描正文链接并下载发票文件(PDF/OFD/XML)后转发。This skill should be used when 用户想把邮箱收到的发票自动转发给他人、设置发票自动归档/报销流程、配置发票转发规则(授权码/收件人/主题模板),或触发词包括:发票转发、发票自动转发、QQ邮箱发票、163邮箱发票、126邮箱发票、链接型发票、OFD发票、XML发票、转发发票给财务、invoice forward。

Install invoice-auto-forward

Run this in your OpenClaw agent to add invoice-auto-forward from the ClawHub registry.

terminal
$openclaw skills install invoice-auto-forward

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

安全85/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is invoice-auto-forward safe to install?

invoice-auto-forward has a SkillsReview security score of 85/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does invoice-auto-forward cost?

invoice-auto-forward is free to install for OpenClaw via ClawHub.

What are the best alternatives to invoice-auto-forward?

You can compare invoice-auto-forward side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install invoice-auto-forward?

Install invoice-auto-forward from ClawHub at clawhub.ai/skills/invoice-auto-forward, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateJul 30, 2026
Actively maintained (12d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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