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图像处理敏感数据github未标认证来源可访问许可证需确认审计提醒

google-image-api-skillGoogle 图像 API 技能

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

517

周安装

22

GitHub Stars

731

下载量

181
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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

unknown

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:google-image-api-skill(Google 图像 API 技能)
来源仓库:https://github.com/browser-act/skills
仓库路径:skills/google-image-api-skill
安装命令:
npx skills add https://github.com/browser-act/skills --skill google-image-api-skill
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/browser-act/skills --skill google-image-api-skill

简介

google-image-api-skill 用于从 Google Images 搜索中提取图像元数据。

  • 它支持关键词、地区与语言设置,返回带版权信息与尺寸的数据集。
  • 使用时输入搜索词与控制参数,即可获得可用于视觉资产管理的结构化结果。
  • 基于浏览器自动化规避官方 API 配额,适合中小规模图片整理需求。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Google Image API Automation Skill

📖 Introduction

This skill provides users with one-click image data extraction directly from Google Images using the BrowserAct Google Image API template. It allows you to search with keywords, set country and language, control scroll depth and result limits, returning clean, structured image metadata directly via API.

✨ Features

  1. No hallucinations, ensuring stable and accurate data extraction: Pre-set workflows avoid generative AI hallucinations.
  2. No CAPTCHA issues: No need to deal with reCAPTCHA or other verification challenges.
  3. No IP restrictions or geo-blocking: No need to handle regional IP limitations.
  4. Agile execution speed: Faster task execution compared to pure AI-driven browser automation solutions.
  5. High cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of tokens.

🔑 API Key Guide

Before running, you must check the BROWSERACT_API_KEY environment variable. If it is not set, do not take any further action; you should request and wait for the user to provide it collaboratively. The Agent must inform the user at this point:

"Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key first."

🛠️ Input Parameters

The Agent should flexibly configure the following parameters according to user needs when calling the script:

  1. KeyWords (Search keywords)

- Type: string - Description: Search keywords used on Google Images. - Example: flower, ai agent, tesla

  1. Country (Country or region bias)

- Type: string - Description: Country or region bias for results. - Supported values: us, gb, ca, au, de, fr, es, jp, kr - Default: us

  1. Language (UI language)

- Type: string - Description: UI language for the Google Images session and returned text. - Supported values: en, zh-CN, zh-TW, ja, ko, fr, de, es - Default: en

  1. Scroll_count (Number of scroll actions)

- Type: number - Description: Number of scroll actions to load more image results. - Default: 5

  1. Datelimit (Maximum items)

- Type: number - Description: Maximum number of items to extract from the results list. - Default: 50

🚀 Invocation (Recommended)

The Agent should execute the following independent script to achieve "results with one command":

# Example invocation
python -u ./scripts/google_image_api.py "KeyWords" "Country" "Language" Scroll_count Datelimit

⏳ Execution Status Monitoring

Since this task involves automated browser operations, it may take a considerable amount of time (several minutes). The script will continuously output status logs with timestamps while running (e.g., [14:30:05] Task Status: running). Agent Notice:

  • While waiting for the script to return results, please keep an eye on the terminal output.
  • As long as the terminal is outputting new status logs, it means the task is running normally; do not mistake it for a deadlock or unresponsiveness.
  • If the status remains unchanged for a long time or the script stops outputting without returning a result, then consider triggering the retry mechanism.

📊 Data Output

After successful execution, the script will parse and print the results directly from the API response. The results include:

  • is_product: Whether the result is detected as a product-style listing
  • link: Click-through URL associated with the result
  • title: Image result title or caption text
  • source_logo: Source site logo URL
  • source: Source site name shown in results
  • related_content_id: Google Images related content identifier
  • thumbnail: Thumbnail image URL
  • index: Result index in the list

⚠️ Error Handling & Retry

During the execution of the script, if an error occurs (such as network fluctuation or task failure), the Agent should follow this logic:

  1. Check the output:

- If the output contains "Invalid authorization", it means the API Key is invalid or expired. In this case, do not retry; guide the user to check and provide the correct API Key. - If the output does not contain "Invalid authorization" but the task execution fails (for example, the output starts with Error: or the result is empty), the Agent should automatically try executing the script one more time.

  1. Retry limit:

- Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error message to the user.

🌟 Typical Use Cases

  1. Visual Content Sourcing: Finding specific imagery for creative research and design content.
  2. Competitor Asset Monitoring: Scanning Google Images for competitor product styles and logos.
  3. Market Visual Research: Building datasets of product listings across various countries.
  4. Localized Image Trends: Tracking what images appear for specific terms in Japan (jp) or France (fr).
  5. E-commerce Discovery: Extracting click-through links to track down where products are sold.
  6. Data Enrichment: Fetching thumbnails and high-level titles associated with keywords.
  7. Brand Tracking: Finding instances of specific brands appearing as image results.
  8. SEO Keyword Visualization: Checking the visual results that rank for chosen SEO keywords.
  9. Automated Content Aggregation: Delivering daily list-level visual metadata for specific topics.
  10. Global Image Search: Finding images related to global events or personalities in their native languages.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

34.91%
按下载量换算63

Claude

29.26%
按下载量换算53

Cursor

19.08%
按下载量换算35

Gemini CLI

9.24%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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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