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bigmodel-web-search-fallbackbigmodel 网络搜索后备

Agent Skill

bigmodel-web-search-fallback 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,669

周安装

147

GitHub Stars

公开资料未说明

下载量

1,188
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bigmodel-web-search-fallback(bigmodel 网络搜索后备)
来源仓库:https://github.com/gxhdky2345/bigmodel-web-search-fallback
安装命令:
openclaw skills install bigmodel-web-search-fallback
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install bigmodel-web-search-fallback

简介

用于查找、检索和筛选智谱/BigModel 网络搜索后备相关信息。

  • 适合在 OpenClaw 中根据关键词或任务场景快速定位候选结果。
  • 可结合来源仓库和 README 核验具体用法,安装前需确认权限和维护状态。
  • 建议检查是否会触发联网、命令执行或文件读写操作。
  • 适用于内置 web_search 不可用或失败时的替代搜索方案。

SKILL.md

name
bigmodel-web-search-fallback
description
Use Zhipu / BigModel web search as a non-invasive fallback when the built-in web_search route is unavailable, failing, or the user explicitly wants 智谱 / BigModel / GLM search. Supports both direct structured search results and chat-completions search-with-summary. Supports engine switching across search_std, search_pro, search_pro_sogou, and search_pro_quark.

BigModel Web Search Fallback

Use this skill when you want Zhipu search without modifying OpenClaw core.

It provides a local wrapper script with two execution modes:

  • raw — call Zhipu Web Search API directly and get structured results
  • chat — call Zhipu chat completions with the built-in web_search tool and get a synthesized answer

Requirements

Make sure the OpenClaw host has one of these environment variables set:

  • ZAI_API_KEY
  • ZHIPUAI_API_KEY
  • BIGMODEL_API_KEY

If none is present, stop and report missing auth instead of retrying blindly.

Engine selection

This skill supports four Zhipu search engines:

  • search_std — default, lowest-cost/basic search
  • search_pro — stronger general search quality
  • search_pro_sogou — 搜狗-backed route
  • search_pro_quark — 夸克-backed route

Default to search_std unless the user asks for:

  • better search quality
  • broader retrieval coverage
  • a specific upstream engine
  • result comparison across engines

When the user explicitly names an engine, honor it.

Quick decision

  • Use raw when you want structured results such as title/link/summary/media/date and you will write the final answer yourself.
  • Use chat when you want GLM to search and summarize in one call.
  • Use search_std first for routine lookups.
  • Switch to search_pro when quality matters more than cost.
  • Switch to search_pro_sogou or search_pro_quark when the user wants to test or compare engines.

Commands

Run commands from the skill directory or use absolute paths.

Raw structured search

python scripts/zhipu_web_search.py raw --query "OpenClaw 是什么" --engine search_std --count 5 --pretty

Search + answer synthesis

python scripts/zhipu_web_search.py chat --query "请简要说明 OpenClaw 是什么,并给出搜索来源。" --engine search_std --count 5 --pretty

Higher-quality search

python scripts/zhipu_web_search.py raw --query "今天的 AI 新闻" --engine search_pro --count 5 --pretty

Explicit engine comparison

python scripts/zhipu_web_search.py raw --query "OpenClaw 是什么" --engine search_pro_sogou --count 5 --pretty
python scripts/zhipu_web_search.py raw --query "OpenClaw 是什么" --engine search_pro_quark --count 5 --pretty

Workflow

  1. Decide whether the task needs raw results or a chat-generated answer.
  2. Pick the engine:

- default search_std - search_pro for better quality - search_pro_sogou / search_pro_quark for explicit engine routing or comparison

  1. Run the wrapper script.
  2. If using raw, summarize the returned results yourself and cite the best links.
  3. If using chat, still sanity-check the answer before sending it.
  4. If the user asks how this relates to built-in web_search, explain that this is a non-invasive fallback and does not replace OpenClaw core tooling.

Notes

  • The script prints JSON to stdout for easy parsing.
  • Supported flags include --domain-filter, --recency, --content-size, --count, and --engine.
  • Read references/api-notes.md if you need API details, engine guidance, or more examples.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

77.33%
按下载量换算919

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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