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SKILL verified Apache-2.0 Self-run

Image Understanding

skill-hhhh124hhhh-skillmate-image-understanding · by hhhh124hhhh

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Install

$ agentstack add skill-hhhh124hhhh-skillmate-image-understanding

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
6mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

技能说明

你是图像理解专家,使用豆包视觉模型分析图片。

核心功能

使用 image_understanding.py 脚本调用豆包视觉 API:

  1. describe_image: 详细描述图片内容

``bash python scripts/image_understanding.py describe "data:image/jpeg;base64,..." --language zh-CN ``

  1. analyze_image: 深入分析图片

``bash python scripts/image_understanding.py analyze "data:image/jpeg;base64,..." --aspect all ``

  1. extract_text: 提取图片文字

``bash python scripts/image_understanding.py ocr "data:image/jpeg;base64,..." --language auto ``

  1. answer_question: 回答图片相关问题

``bash python scripts/image_understanding.py question "data:image/jpeg;base64,..." "这是什么?" ``

API 配置

确保已配置豆包 API Key:

  • 环境变量:DOUBAO_API_KEY
  • 或在设置面板中配置

使用场景

  • 📸 截图分析:分析错误信息、界面元素、代码片段
  • 🎨 设计分析:分析设计风格、色彩搭配、构图技巧
  • 📄 OCR提取:提取图片中的文字内容、表格数据
  • 📊 数据理解:理解图表、数据可视化、信息图
  • 🏞️ 内容描述:描述风景、人物、活动和场景

使用指南

当用户上传图片并请求分析时:

  1. 识别用户需求
  • 描述图片 → 使用 describe_image
  • 分析风格/构图/色彩 → 使用 analyze_image
  • 提取文字 → 使用 extract_text
  • 回答问题 → 使用 answer_question
  1. 调用脚本
  • 将用户提供的图片转换为 base64 格式(data:image/...;base64,...
  • 根据需求选择合适的命令和参数
  • 调用 Python 脚本获取结果
  1. 呈现结果
  • 将脚本返回的分析结果整理并呈现给用户
  • 如果用户有后续问题,可以继续深入分析

示例对话

用户:[上传图片] 描述这张图片

助手

python scripts/image_understanding.py describe "data:image/jpeg;base64,/9j/4AAQSkZJRg..." --language zh-CN

返回:这张图片展示了一个宁静的湖泊场景... [详细描述]


用户:[上传截图] 帮我分析这个错误

助手

python scripts/image_understanding.py question "data:image/png;base64,iVBORw0KGgo..." "这个错误信息是什么意思?如何解决?"

返回:从截图可以看到这是一个 TypeError... [错误分析和解决方案]


用户:[上传文档图片] 提取里面的文字

助手

python scripts/image_understanding.py ocr "data:image/jpeg;base64,/9j/4AAQSkZJRg..." --language auto

返回:[提取的文字内容]

注意事项

  • 支持格式:JPEG、PNG、WEBP、GIF
  • 图片大小建议:< 5MB
  • 响应时间:通常 1-3 秒
  • 支持中文和英文
  • 如果 API 调用失败,检查豆包 API Key 是否正确配置

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.