DeepSeek Harness (DSH) is built on the philosophy of “everything is a plugin.” In the model inference domain, extending an agent’s specific capabilities typically requires installing dedicated plugins. xby-bird is a plugin designed for this purpose, used to detect and identify birds in images.
What Is This
* Name: xby-bird
* Maintainer: xby-skill
* Category: Model Inference
* License: MIT
Prerequisites
Before using this plugin, you must register on the Xiao Ben Yang official website and obtain an API key.
Core Features
The plugin provides the following capabilities:
* set_xby_apikey: Sets the API key in chat. This operation is automatically persisted and remains valid after restart.
* bird_detection: Detects and identifies birds in images. The input must be an image file link.
* bird_detection_for_data_base64: Detects and identifies birds in images. The input must be the BASE64 encoding of the image file.
* bird_detection_for_data_file: Detects and identifies birds in images. The input must be the file path of the image file.
Installation
Install the plugin via the command line:
dsh plugin --profile web add github:xby_skill/xby-bird
Usage Example
After installation, you can use the features above in the DSH chat interface. For example, use set_xby_apikey to set the key, then call bird_detection by passing an image link, BASE64 encoding, or file path for identification.
Ecosystem Context
The DSH plugin ecosystem is independent of DeepSeek or High-Flyer. This plugin is listed in the community directory https://www.skillhub.cn/plugins/xby-skill/xby-bird, and its source code is hosted on GitHub https://github.com/xby_skill/xby-bird.