A multi-layered search tool for retrieving WeChat Official Account articles through compliant APIs and intelligent fallbacks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wechat-search
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install wechat-search using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is WeChat Search?
The WeChat Search skill is a sophisticated integration designed for discovering WeChat Official Account content within the Openclaw Skills ecosystem. It utilizes a robust three-layer strategy to ensure high availability and compliance, making it an essential tool for developers and researchers tracking trends on China's most influential social platform.
By prioritizing legal search APIs like Brave and Tavily before falling back to respectful web scraping, this skill provides a reliable way to access public article metadata. It handles the complexities of the WeChat ecosystem, such as site-specific filtering and rate limiting, allowing your agents to perform deep research while adhering to ethical scraping standards.
WeChat Search Use Cases
- Monitoring industry trends and news from specific WeChat Official Accounts.
- Conducting market research on Chinese consumer behavior and digital trends.
- Building automated newsletters or content aggregators using Openclaw Skills data.
- Integrating WeChat search capabilities into custom AI agent workflows for competitive analysis.
How WeChat Search Works
- The skill receives a search query and processes parameters like date ranges or result counts.
- Layer 1: It attempts a search via the Brave Search API (using the OpenClaw web_search tool) with a filter for the WeChat domain.
- Layer 2: If the primary search is unavailable, it falls back to the Tavily Search API for AI-powered results.
- Layer 3: As a final fallback, it performs a direct web fetch from public search portals while strictly respecting robots.txt.
- The system parses the resulting article metadata and returns it in your chosen format (Text, JSON, or Markdown).
WeChat Search Setup
To use this skill, ensure you have the OpenClaw Web Tools available. While optional, adding a Brave Search or Tavily API key is highly recommended for optimal performance.
Install the skill and run a basic query via the CLI:
wechat-search "artificial intelligence"
Configuration can be managed by creating a file at ~/.openclaw/wechat-search-config.json to define request delays and cache durations.
WeChat Search Data Schema & Taxonomy
The skill organizes metadata into a standardized structure to ensure compatibility across different Openclaw Skills.
| Field | Description |
|---|---|
| Title | The headline of the article |
| URL | The public link to the WeChat article |
| Published Date | The publication timestamp (when available) |
| Source | The name of the Official Account |
| Snippet | A brief excerpt of the article content |
Supported output formats include JSON for programmatic use and Markdown for documentation.
WeChat Search Advanced Features
- Time-based filtering including past-week and custom date range support.
- Strategy overrides to force specific search layers (e.g., tavily_only).
- Configurable rate limiting with a default 5-second delay to ensure compliance.
- High-volume result handling with support for up to 20 articles per request.
- Transparent bot identification through customizable User-Agent strings.
SKILL.md
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