Install
$ agentstack add skill-hhhh124hhhh-skillmate-image-understanding ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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:
- describe_image: 详细描述图片内容
``bash python scripts/image_understanding.py describe "data:image/jpeg;base64,..." --language zh-CN ``
- analyze_image: 深入分析图片
``bash python scripts/image_understanding.py analyze "data:image/jpeg;base64,..." --aspect all ``
- extract_text: 提取图片文字
``bash python scripts/image_understanding.py ocr "data:image/jpeg;base64,..." --language auto ``
- 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:
- 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
- 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
- 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.
- Author: hhhh124hhhh
- Source: hhhh124hhhh/SkillMate
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.