A non-invasive web search fallback for AI agents that leverages Zhipu BigModel and GLM engines to provide structured or summarized results.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bigmodel-web-search-fallback
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 bigmodel-web-search-fallback using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The BigModel Web Search Fallback is a specialized tool designed to augment Openclaw Skills by providing a reliable search alternative when default routes fail. It acts as a local wrapper script that interfaces directly with Zhipu Web Search APIs, offering two primary execution modes: raw for structured data and chat for synthesized summaries. This skill ensures that your AI agents maintain high availability and access to diverse search engines like Sogou and Quark without requiring core modifications to the agent architecture.
To integrate this search capability into your Openclaw Skills, ensure you have an active API key from BigModel. Set one of the following environment variables on your host:
export ZAI_API_KEY='your_api_key_here'
# Alternatively use ZHIPUAI_API_KEY or BIGMODEL_API_KEY
Test the installation by running the script from the command line:
python scripts/zhipu_web_search.py raw --query "OpenClaw search" --engine search_std --count 5 --pretty
The skill returns data in a structured JSON format, making it easy for agents to parse and use. The schema supports several input flags and output attributes:
| Feature | Details |
|---|---|
| Execution Modes | raw (structured links) or chat (synthesized text). |
| Engine Types | search_std, search_pro, search_pro_sogou, search_pro_quark. |
| Filters | Supports --domain-filter and --recency (time-based) constraints. |
| Output Fields | Includes title, link, summary, media, and date for raw results. |
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