Discover The Best DSH plugins

Vision tools · DeepSeek Harness plugins — Page 62

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Find image understanding, screenshot analysis and visual interaction plugins; compare inputs and usage.

xby-ocr-vehicle-license

识别机动车行驶证的号牌号码、车辆类型、所有人、住址、品牌型号、发动机号码、车辆识别代号等信息,支持自动方向检测和主副页过滤。

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xby-skill/xby-ocr-vehicle-license

xby-pic

★ 0
xby-pic

包括通用文本识别、手写识别、车牌识别、身份证识别、日常物体检测、昆虫识别、植物识别、护照识别、港澳台通行证识别、银行卡识别、营业执照识别、驾驶证识别、行驶证识别、动物识别、电动自行车检测、手机检测、手势检测、火焰检测、香烟检测、人头人体检测、野生动物检测、鸟类识别、宠物情绪识别、菜品识别、安全帽人体检测、行人检测、反光衣检测、车辆检测、图像分类、目标检测、旋转目标检测、人体姿态估计和万物识别。

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xby-skill/xby-pic
xby-reflective-vest

输入一张图像,检测人员是否穿戴反光衣,输出图片中所有目标的检测框、置信度和标签(safe/unsafe)。

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xby-skill/xby-reflective-vest
xby-smoking-detection

输入一张图像,对其中的香烟目标进行检测,输出图片中所有目标的检测框、置信度和标签。

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xby-skill/xby-smoking-detection
xby-wikimedia-search-images

该MCP服务器使AI助手能够在Wikimedia Commons上搜索图片,提供详细的元数据和可选的缩略图组合,帮助AI模型进行视觉比较。

Vision tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xby-skill/xby-wikimedia-search-images
yuque-notes-plugin

Save messy notes (text + images) to a Yuque knowledge base, classified by the model.

Memory and knowledge · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:cchenbin042/yuque-notes-plugin

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Questions about DSH Hub

What is DSH Hub?

DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.

Does inclusion mean a plugin is tested and compatible?

No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.

How do I install a plugin?

Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.