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Agent Skill · 图像处理

google-image-api-skill(Google 图像 API 技能)

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。

google-image-api-skill 是图像处理类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在图像处理类的 1,562 个 Skill 里排第 305。

总安装 10,655周安装 453GitHub Stars 公开资料未说明下载 3,733核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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/ccmagia2-gif/google-image-api-skill
安装命令:
openclaw skills install 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 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 google-image-api-skill

这个 Skill 是做什么的

图像处理类 Skill 处理生成、裁剪、压缩和批量转换图片的任务。

google-image-api-skill 通过 BrowserAct API 从 Google Images 提取结构化图像数据。适用于需要自动化整理图片元数据和视觉内容的场景。通过 clawhub 安装并使用 openclaw skills install google-image-api-skill 命令集成。

使用前需确认权限范围、维护状态,并注意可能触发联网、命令执行或文件读写操作。建议结合来源仓库和原始文档核验 API 调用频率和图片版权合规性。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install google-image-api-skill;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

google-image-api-skill 怎么安装?

在终端执行 openclaw skills install google-image-api-skill。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

google-image-api-skill 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

google-image-api-skill 需要什么权限?

权限级别是接触敏感数据。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。

google-image-api-skill 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

google-image-api-skill 用的人多吗?

公开数据是累计安装 10,655 次,近一周安装 453 次,下载 3,733 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

google-image-api-skill 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理图像处理类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

图像处理类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
ai-image-generation

AI 图像生成 · Codex、Claude

4,365,552382调用外部服务未明确有提醒
openai-image-gen

OpenAI 图像生成 · OpenClaw

1,906,88432需要联网MIT-0有提醒
image

图像 · OpenClaw

525,99926需要联网MIT-0通过
baoyu-cover-image

宝玉封面图 · Codex、Claude

474,24016,779只读MIT有提醒
baoyu-image-gen

宝玉图像生成器 · Codex、Claude

468,00716,778接触敏感数据MIT通过
google-image-api-skill

Google 图像 API 技能 · 本页

10,655—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
google-image-api-skill
description
This skill helps users automatically extract structured image data from Google Images via BrowserAct API. Agent should proactively apply this skill when users express needs like finding images for specific keywords, gathering product style images for competitors, building visual datasets at scale, scanning visual search results for market research, tracking localized image trends by country, compiling related image thumbnails and links, extracting image titles and source logos, fetching click through URLs from image results, monitoring competitor visual assets, sourcing creative content for specific topics, looking up product pictures in different regions, collecting structured image metadata without opening detail pages.
metadata
{"clawdbot":{"emoji":"🌐","requires":{"bins":["pyhon"],"env":["BROWSERACT_API_KEY"]}}}

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.

平台分布

OpenClaw

82.17%
按下载量换算3,067

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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