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xby-classify

Model Inference Updated 2026.09.02

Run the following command in DeepSeek Harness:

dsh plugin install xby-skill/xby-classify

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install xby-skill/xby-classify in DeepSeek Harness to install it; the source is available at https://github.com/xby-skill/xby-classify .

About this plugin

When working inside DeepSeek Harness and you need a quick semantic label for an image—what is it and how confident is the model—assembling a separate inference pipeline, handling multiple input formats, and parsing the output can be heavy. xby-classify collapses that entire workflow into a single tool call, with no local GPU or inference framework required.

Built on an ImageNet-1000 classifier, it accepts three input formats (image URL, base64 string, or local file path) and uniformly returns the top-5 class names with their confidence scores, giving you a structured result in one call.

It is well suited for developers who want lightweight image recognition inside a DSH conversation—think content moderation, asset auto-tagging, or multimodal data preprocessing—getting on-demand classification results without any extra infrastructure.

Use Cases

  • Quickly identify image content and return structured labels in conversation
  • Auto-tagging and categorizing batches of visual assets
  • Extracting image semantics during multimodal data preprocessing

Best For

  • Developers needing lightweight image recognition inside DSH
  • Automation engineers working on content moderation or asset management
  • Teams building multimodal apps that require an image classification API