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