dsh-trajectory-teacher: Convert AI Agent Execution Trajectories into Retrospective Reports

The DeepSeek Harness plugin `dsh-trajectory-teacher` converts raw AI agent logs into structured review reports, addressing the challenges of noisy execution trajectories and difficulty in learning from them. Maintained by XiaoMoDern, the plugin is triggered manually with the `/trajectory-teacher` command and uses an LLM to analyze key session events, such as decision points, errors, and reusable practices, then automatically generates a Markdown report. It supports noise filtering, API key masking, cost control (with reasoning disabled by default and length limits enforced), and custom model configuration, and is released under the MIT license.