A specialized skill for AI agents to securely connect to QQ Mail via IMAP for automated email retrieval and parsing.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install qq-mail-reader
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install qq-mail-reader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The QQ Mail Reader is a robust integration designed for Openclaw Skills that allows AI coding agents to interact directly with QQ Mail inboxes. By utilizing the IMAP protocol, this skill provides a bridge for agents to fetch recent messages, search for specific communications, and handle complex email formats.
This skill is particularly valuable for developers who need their AI agents to monitor notifications, extract data from business emails, or manage communications without leaving their development environment. It ensures high compatibility by supporting various character encodings commonly found in Chinese email systems, such as GBK and GB2312.
To use this skill, first enable the IMAP service in your QQ Mail settings and generate an authorization code. Then, configure your environment:
mkdir -p ~/.openclaw/secrets
touch ~/.openclaw/secrets/mail_qq.env
chmod 600 ~/.openclaw/secrets/mail_qq.env
Add your credentials to the file:
[email protected]
MAIL_PASS=your_authorization_code
The skill organizes email data using the following structure for consistent processing:
| Attribute | Description | Data Type |
|---|---|---|
| MAIL_USER | Your registered QQ email address | String |
| MAIL_PASS | The IMAP authorization code (secret) | String |
| Encoding | Fallback logic for UTF-8, GBK, and BIG5 | List |
| Clean Text | Sanitized message body free of HTML tags | String |
Loading
Automate your Obsidian Markdown vaults and streamline personal knowledge management using Openclaw Skills.

A high-efficiency toolkit designed to minimize token consumption and manage API costs for Inception Labs models.

An AI-powered presentation agent that transforms user themes into editable, professional-grade SVG slides using a structured Bento Grid layout.

A specialized AI agent skill designed to automate the generation, validation, and error recovery of OpenFOAM CFD simulation cases.

A specialized automation skill for securely setting up and managing Telerik NuGet feeds using environment variable expansion.

A local-first recurring schedule engine that converts natural language timing into structured execution plans for reminders and repeated tasks.








































