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scavio-googlescavio Google 搜索

Agent Skill

scavio-google 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

3,928

周安装

167

GitHub Stars

1

下载量

1,376
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:scavio-google(scavio Google 搜索)
来源仓库:https://github.com/scavio-ai/scavio-google
安装命令:
openclaw skills install scavio-google
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 scavio-google

简介

搜索 Google 并获取结构化 JSON 结果(网络、新闻、图像、地图)。用于任何需要当前网络信息或最近新闻的查询。

SKILL.md

name
scavio-google
description
Search Google and get structured JSON results (web, news, images, maps). Use for any query requiring current web information or recent news.
version
2.0.0
tags
google, web-search, search, news-search, image-search, agents, langchain, crewai, autogen, structured-data, json, ai-agents, research, serp
metadata
openclaw
requires
env
primaryEnv
SCAVIO_API_KEY
emoji
\F50D
homepage
https://scavio.dev/docs

Google Search via Scavio

Search Google and return structured JSON — no HTML parsing required. Covers web, news, images, maps, and lens search types.

When to trigger

Use this skill when the user asks to:

  • Look something up on the web or check a current fact
  • Find recent news or events
  • Search for images, maps, or documentation
  • Answer any question that requires real-time or up-to-date information

Do not answer from memory when current information is needed. Search first.

Setup

Get a free API key at https://scavio.dev (1,000 free credits/month, no card required):

export SCAVIO_API_KEY=sk_live_your_key

Workflow

  1. Identify the user's intent and pick the right search_type (classic, news, images, maps, lens).
  2. Choose light_request: false only if you need knowledge graph, people also ask, or related searches (costs 2 credits vs 1).
  3. Call the endpoint with the query and any filters.
  4. Return results in a clear, structured response. Cite URLs.

Endpoint

POST https://api.scavio.dev/api/v1/google
Authorization: Bearer $SCAVIO_API_KEY

Parameters

ParameterTypeDefaultDescription
querystringrequiredSearch query (1-500 chars)
search_typestringclassicclassic, news, maps, images, lens
country_codestring--ISO 3166-1 alpha-2 (e.g. us, gb, de)
languagestring--ISO 639-1 code (e.g. en, fr, es)
pagenumber1Result page number
devicestringdesktopdesktop or mobile
nfprbooleanfalseSet true to disable autocorrection
light_requestbooleanomittedOmit for 1 credit. Set false for full results (2 credits)

Example

import os, requests

response = requests.post(
    "https://api.scavio.dev/api/v1/google",
    headers={"Authorization": f"Bearer {os.environ['SCAVIO_API_KEY']}"},
    json={"query": "langchain agents tutorial", "country_code": "us", "language": "en"},
)
data = response.json()
# results in data["results"]

Response

{
  "results": [
    {
      "title": "Result title",
      "url": "https://example.com",
      "description": "Snippet...",
      "position": 1
    }
  ],
  "query": "langchain agents tutorial",
  "credits_used": 1,
  "credits_remaining": 999
}

Full mode ("light_request": false) also returns: knowledge_graph, questions (people also ask), related_searches, news_results, top_stories.

Guardrails

  • Never fabricate search results or URLs. Only return what the API gives you.
  • If the query is time-sensitive, always call the API — do not answer from training data.
  • search_type: news only supports device: desktop.
  • Cite sources when summarizing results.

Failure handling

  • If the API returns an error, report the status code and stop.
  • If no results are returned, tell the user and suggest rephrasing.
  • If SCAVIO_API_KEY is not set, prompt the user to export it before continuing.

LangChain

pip install scavio-langchain
from scavio_langchain import ScavioSearchTool
tool = ScavioSearchTool(engine="google")

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

85.31%
按下载量换算1,174

安全审计

VirusTotal

通过

ClawScan

通过

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。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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