How do I install the Wechat Search skill?

Run npx skillmds@latest add dvcrn/wechat-search-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Wechat Search safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Wechat Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Wechat Search free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Wechat Search?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Wechat Search by dvcrn — Agent Skill

Name: Wechat Search
Rating: 4.666666666666667 (3 reviews)
Author: dvcrn

File contents

WeChat Search Skill

Search for WeChat Official Account (微信公众号) articles using a compliant, two-layer approach that prioritizes legal search APIs and falls back to respectful web scraping when needed.

Features

Compliant Design: Prioritizes legal search APIs, respects robots.txt and rate limits
Two-Layer Strategy:
- Primary: Web search with site:mp.weixin.qq.com filter
- Fallback: Direct page fetching with proper delays and headers
Recent Results: Returns the 5 most recent articles by default (configurable)
Time Filtering: Support for date range and recency filters
Multiple Output Formats: Text, JSON, and markdown formats available

Prerequisites

OpenClaw Web Tools: Requires web_search and web_fetch tools to be available
Tavily API Key (optional): For enhanced search capabilities via Tavily integration

Usage

Basic Search

wechat-search "人工智能"

Advanced Options

# Return 10 results instead of default 5
wechat-search "机器学习" --max-results 10

# Search within past week
wechat-search "大模型" --past-week

# Custom date range
wechat-search "AI应用" --from 2026-01-01 --to 2026-02-01

# JSON output format
wechat-search "开源AI" --output json

# Force web fetch strategy
wechat-search "最新技术" --strategy web_fetch

Configuration

Create ~/.openclaw/wechat-search-config.json to customize behavior:

{
  "defaultMaxResults": 5,
  "maxResultsLimit": 20,
  "requestDelayMs": 5000,
  "cacheDurationHours": 1,
  "userAgent": "OpenClaw-WeChat-Search-Bot/1.0 (+https://github.com/your-username/wechat-search-skill)"
}

Compliance & Ethics

Respects robots.txt: Checks and follows robots.txt directives
Rate limiting: Minimum 5-second delay between requests
Transparent identification: Clear User-Agent string identifying the bot
Public content only: Only accesses publicly available articles
No data retention: Does not store full article content, only metadata

Error Handling

Automatic retry on network failures (up to 3 attempts)
Graceful fallback between search strategies
Clear error messages for debugging

Future Enhancements

RSS feed integration support
Article content summarization
Author/subscription management
Enhanced filtering options

This skill is designed to be both useful and responsible, providing access to valuable WeChat Official Account content while respecting platform rules and legal requirements.

---name: wechat-search-2description: Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.--- # WeChat Search Skill Search for WeChat Official Account (微信公众号) articles using a compliant, two-layer approach that prioritizes legal search APIs and falls back to respectful web scraping when needed. ## Features - **Compliant Design**: Prioritizes legal search APIs, respects robots.txt and rate limits - **Two-Layer Strategy**: - Primary: Web search with `site:mp.weixin.qq.com` filter - Fallback: Direct page fetching with proper delays and headers - **Recent Results**: Returns the 5 most recent articles by default (configurable) - **Time Filtering**: Support for date range and recency filters - **Multiple Output Formats**: Text, JSON, and markdown formats available ## Prerequisites - **OpenClaw Web Tools**: Requires `web_search` and `web_fetch` tools to be available - **Tavily API Key** (optional): For enhanced search capabilities via Tavily integration ## Usage ### Basic Search ```bash wechat-search "人工智能" ``` ### Advanced Options ```bash # Return 10 results instead of default 5 wechat-search "机器学习" --max-results 10 # Search within past week wechat-search "大模型" --past-week # Custom date range wechat-search "AI应用" --from 2026-01-01 --to 2026-02-01 # JSON output format wechat-search "开源AI" --output json # Force web fetch strategy wechat-search "最新技术" --strategy web_fetch ``` ## Configuration Create `~/.openclaw/wechat-search-config.json` to customize behavior: ```json { "defaultMaxResults": 5, "maxResultsLimit": 20, "requestDelayMs": 5000, "cacheDurationHours": 1, "userAgent": "OpenClaw-WeChat-Search-Bot/1.0 (+https://github.com/your-username/wechat-search-skill)" } ``` ## Compliance & Ethics - **Respects robots.txt**: Checks and follows robots.txt directives - **Rate limiting**: Minimum 5-second delay between requests - **Transparent identification**: Clear User-Agent string identifying the bot - **Public content only**: Only accesses publicly available articles - **No data retention**: Does not store full article content, only metadata ## Error Handling - Automatic retry on network failures (up to 3 attempts) - Graceful fallback between search strategies - Clear error messages for debugging ## Future Enhancements - RSS feed integration support - Article content summarization - Author/subscription management - Enhanced filtering options This skill is designed to be both useful and responsible, providing access to valuable WeChat Official Account content while respecting platform rules and legal requirements.

Frequently asked questions

Wechat Search