dsh-sciwork: DeepSeek Harness Research Workbench Plugin

The DeepSeek Harness plugin `dsh-sciwork` is designed for research scenarios and provides a structured scientific research workbench. It integrates preset research-mode Agents, a local entity-based research database, 12 journal submission templates, and skills for scientific illustration and writing, while supporting project creation, resource management, and visualization panel browsing. This plugin depends on the upstream `dsh-origin-plugin` for illustration generation, uses Node.js scripts to initialize the database structure, and enables users to persist AI-generated content and connect it with professional tools to build a rigorous scientific research workflow.

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dsh-origin-plugin: Directly call local Origin in DeepSeek Harness conversation

dsh-origin-plugin is a DeepSeek Harness (DSH) plugin designed specifically for the Windows environment, aiming to directly drive local Origin software via the MCP protocol to enable AI-driven conversational scientific plotting and data analysis. Based on the MIT License, this plugin does not require image generation on remote services; instead, it encapsulates the local Origin as a native tool, supporting 2D/3D plotting, journal-level formatting, inline preview, and statistical and scientific analyses such as t-tests, fitting, and FFT. Its core advantages include stable error code feedback, multi-session concurrency safety (tested with 8 concurrent threads), and a convenient conversation trigger mechanism. Installation requires Origin 2018+, Python 3.10+, and the DSH environment, accessible via `dsh pl...

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