dsh-skill-router: Agent-Driven Skill Discovery and On-Demand Loading

The DeepSeek Harness (DSH) skill routing plugin is designed to address token overhead caused by an excessive number of skills. By providing the `skill_search`, `skill_load`, and `skill_ref` tools, the agent can retrieve and load skills on demand, shifting the cost from a fixed charge each turn to a pay-only-when-used model. After installation, the agent can search for skills in the `.skill-src` directory, while the plugin includes a starter skill library to assist with usage.

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dsh-skill-router: Rule-based skill routing before step execution

# Introduction When building agents with DeepSeek Harness (DSH), the timing of skill loading is usually left to the model to decide. Skills are exposed as a catalog to the model, visible at every step, forcing the model to re-evaluate whether to load them constantly. The result is unstable decision-making: skills may load too late, load the wrong one, or fail to load entirely. dsh-skill-router shifts this to a rule-driven approach: before each step, pure rules match the latest user message. If a match is found, the corresponding skill content is injected into the current step; otherwise, no intervention occurs. The entire process involves zero LLM calls and zero token costs. Below, we introduce its usage. # What is it? dsh-skill-router is a

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