Chinese Search Enhancement (zhsearch) for Openclaw

A powerful Chinese search enhancement skill that retrieves structured data from Baidu, Zhihu, and WeChat for AI agents.

jinp0830
v1.0.0
Mar 6, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install zhsearch

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install zhsearch 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 Chinese Search Enhancement (zhsearch)?

This skill provides a vital bridge to the Chinese web ecosystem, addressing the limitations of English-centric search engines like Brave or Perplexity. By integrating directly with China's most influential platforms—Baidu, Zhihu, and WeChat—this addition to your Openclaw Skills library ensures your AI agent can access localized news, expert discussions, and industry insights that are often invisible to international tools.

The skill is designed for developer-centric workflows, returning AI-friendly JSON results that are easy to parse and synthesize. Whether you are conducting market research or looking for technical documentation in Chinese, this tool delivers structured data optimized for large language models.

Chinese Search Enhancement (zhsearch) Use Cases

  • Accessing the latest Chinese tech news and general web content via Baidu
  • Extracting expert opinions and detailed how-to guides from the Zhihu Q&A platform
  • Finding original industry analysis and opinion pieces from WeChat public accounts
  • Improving AI response quality for queries that require deep Chinese-language context
  • Supplementing global research when English-centric search results are insufficient

How Chinese Search Enhancement (zhsearch) Works

  1. The user initiates a search via the command line providing a Chinese or English query.
  2. The skill selects the specified sources, defaulting to Baidu, Zhihu, and WeChat if none are provided.
  3. An automated billing check is conducted through SkillPay to ensure a balance for the 0.001 USDT per-call fee.
  4. The skill queries the relevant Chinese platforms and scrapes the results.
  5. The raw data is transformed into a structured JSON format containing titles, snippets, and source-specific metadata.
  6. The final AI-optimized payload is returned to the agent for processing.

Chinese Search Enhancement (zhsearch) Setup

Integrating this into your Openclaw Skills workflow requires no complex configuration. Ensure you have Node.js installed and follow the command structure below:

# Standard search across all platforms
node search.mjs "人工智能最新进展"

# Targeted search on a specific source
node search.mjs "React性能优化" -s zhihu

Billing is handled automatically via SkillPay. If a balance is required, the skill will provide a payment URL for the user to top up.

Chinese Search Enhancement (zhsearch) Data Schema & Taxonomy

The skill returns a highly structured response schema to ensure seamless integration with other Openclaw Skills.

Key Type Description
query String The original search term processed
total Number The aggregate count of results across sources
sources Array The list of platforms queried (baidu, zhihu, wechat)
results Object Nested objects for each source containing title, snippet, and URL

Chinese Search Enhancement (zhsearch) Advanced Features

  • Multi-source filtering allows developers to narrow searches to specific platforms like WeChat or Baidu
  • Customizable result limits per source to manage data volume and token consumption
  • Seamless SkillPay integration for micro-payments, removing the need for individual API keys for each search engine
  • Support for source-specific metadata, such as account names and publication dates for WeChat articles within the Openclaw Skills ecosystem

SKILL.md


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