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Install in OpenClaw
/install tavily-zhipu-search
Description
统一网络搜索（Tavily 优先 + 智谱兜底）。当用户需要搜索最新新闻、实时信息、查询网络资料时使用此 skill。优先 Tavily（分钟级实时），失败自动回退智谱 MCP web_search_prime（Coding Plan 免费额度）。
Usage Guidance
This skill appears to do exactly what it claims: send your query to Tavily first and fall back to Zhipu. Before installing, decide whether you trust the external services (api.tavily.com and open.bigmodel.cn) to handle your queries. If you do not want this skill to read keys from your OpenClaw config, set ZHIPU_API_KEY explicitly or remove sensitive apiKey entries from ~/.openclaw/openclaw.json. No installers or hidden downloads are present, and the skill does not request unrelated credentials or system changes.
Capability Analysis
Type: OpenClaw Skill
Name: tavily-zhipu-search
Version: 1.0.0
The skill implements a web search tool using Tavily with a fallback to Zhipu AI. It is classified as suspicious because the script `scripts/search.py` programmatically accesses and parses the sensitive global configuration file `~/.openclaw/openclaw.json` to extract API keys. While this behavior is mentioned in `SKILL.md` as a convenience feature, accessing a central configuration file that may contain multiple credentials is a high-risk capability. The script communicates with legitimate search endpoints at api.tavily.com and open.bigmodel.cn and does not show evidence of intentional data exfiltration to unauthorized third parties.
Capability Assessment
Purpose & Capability
Name/description, SKILL.md, and the bundled Python script all implement a unified web search using Tavily (primary) and Zhipu (fallback). Required inputs (TAVILY_API_KEY, ZHIPU_API_KEY or reading openclaw.json) are consistent with that purpose.
Instruction Scope
Runtime instructions direct the agent to run the included Python script which performs network calls to the documented endpoints (api.tavily.com and open.bigmodel.cn). The script also attempts to read ~/.openclaw/openclaw.json to find a Zhipu key if ZHIPU_API_KEY is not set; this behaviour is documented in SKILL.md but is the only non-network file read.
Install Mechanism
No install spec; the skill is instruction-only with a single Python script. Nothing is downloaded or written to disk by an installer.
Credentials
The skill does not require global credentials; it uses TAVILY_API_KEY and ZHIPU_API_KEY as expected. One caveat: if ZHIPU_API_KEY is not set the script will parse ~/.openclaw/openclaw.json and return the first apiKey it finds under providers 'generic' or 'glm' — this can surface keys stored for other providers if present. This behavior is documented but users should be aware.
Persistence & Privilege
always is false and the skill does not modify other skills or system settings. It does not persist tokens or alter configuration beyond reading the openclaw.json config file.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tavily-zhipu-search - After installation, invoke the skill by name or use
/tavily-zhipu-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Unified web search: Tavily primary, Zhipu MCP fallback. Zero hardcoded keys.
Metadata
Frequently Asked Questions
What is Tavily + Zhipu Web Search?
统一网络搜索（Tavily 优先 + 智谱兜底）。当用户需要搜索最新新闻、实时信息、查询网络资料时使用此 skill。优先 Tavily（分钟级实时），失败自动回退智谱 MCP web_search_prime（Coding Plan 免费额度）。 It is an AI Agent Skill for Claude Code / OpenClaw, with 109 downloads so far.
How do I install Tavily + Zhipu Web Search?
Run "/install tavily-zhipu-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tavily + Zhipu Web Search free?
Yes, Tavily + Zhipu Web Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tavily + Zhipu Web Search support?
Tavily + Zhipu Web Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tavily + Zhipu Web Search?
It is built and maintained by mydearzsy (@mydearzsy); the current version is v1.0.0.
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