Kaiji-Z/dsh-plugin-lookatstudy

README 摘要

dsh-plugin-lookatstudy Turn any markdown document, local folder, or GitHub learning repository into a guided course inside DeepSeek Harness (dsh) — your dsh agent becomes a full AI tutor with the interaction design of LookatStudy: per-concept knowledge tracking, mastery-driven progression, spaced repetition, mastery proposals, friction awareness, learner memory, a Cornell notebook, and an in-chat proposal card. Learning engine modules are vendored from LookatStudy (MIT). Install Works with any profile. In the web profile the plugin additionally serves the study tab's HTTP API and loads its browser half; headless profiles get the plain tool surface. The two surfaces 1. The tutor (chat). Talk to the agent: "import https://github.com/microsoft/AI-For-Beginners and teach me lesson 1" , "what reviews are due today?" . The tutor persona (stable core + one of three souls — guide 引导 / direct 精讲 / practice 实战) drives the full LookatStudy loop: - Knowledge components (KC) — on first teaching a lesson the tutor derives 2–7 concepts ( study define concepts ); every graded answer is attributed ( study record answer with concept ); per-concept BKT runs and lesson mastery is the weakest concept —…

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