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AIMarshallLee/dsh-teacher-preset

“Local-first AI teaching workspace for DeepSeek Harness — context, unit packages, assessment diagnosis, and next-lesson…”

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TL;DR

Local-first AI teaching workspace for DeepSeek Harness — context, unit packages, assessment diagnosis, and next-lesson feedback loops.

30 days of GitHub stars

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LiangShen agent preset plus its composer lever for the dsh web GUI. The host half declares the bundled preset to the harness's agent-preset registry at activation (declare = enabled), so the preset is selectable for new sessions without writing anything into the harness home; the preset keeps a minimal persona with standing working discipline while the harness's own user-role agent-instructions injection delivers the workspace instructions (the optional `instructionSource: system-prompt` mode lifts them into the prompt instead), and declares one tool presentation for the session's whole lifetime: `ptc` by default (the wire collapses to `run_code` and every other tool is reached through the generated SDK), with `native` as the explicit assembled-roster option. High-fan-out tool families (default `['mcp__*', 'browser_*', 'task_board_*', 'team_*', 'squad*', 'ui_*', 'ssh_*']`, while every host builtin stays resident; customizable via `pagedToolPatterns`) stay paged out of the wire and generated SDK until the preset's own `tool_activate` tool loads their namespace (LRU cap three, state replayed from the durable session event stream), and the tool catalog — exactly the reachable tools plus paged-out namespace summaries — and a one-line working-context projection travel as durable user messages republished only on change. The browser half adds a slot-machine lever left of the model selector on the new-session screen to toggle the mode. Hot-pluggable via cordis.patch.yml + profile symlink, no dsh source changes.

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