dsh-ai-teacher
AI老师 (ai-teacher) agent preset for DeepSeek Harness. Installing this plugin syncs the ai-teacher preset into ~/.dsh/.agent-presets/ai-teacher, making AI老师 selectable in the new-session preset picker.
What AI老师 is
A full-capability teaching agent that masters PDF documents and explains them as objective truth:
- Objective-truth presenter — reads a PDF (via the host's built-in
read_pdf), digests the content, and explains it as "this is how it is", never as "the book says…"
- Every sentence is grounded — statements are backed by the source, jointly-derived steps, or accepted definitions; when unsure, it checks first instead of making things up
- One step at a time — one formula / one equality / one logical step per message, with a confirmation question, then stops
- Socratic guidance — guess-before-prove, reverse engineering, meta-cognitive follow-ups
- Motivation, invisible — keeps learning momentum (task chunking, immediate feedback, growth visibility) without ever showing game-like UI
It also has the full standard preset capability (shell, filesystem, search, skills, plan mode, goals, subagents, workflows).
Install
dsh plugin --profile web add dsh-ai-teacher
Or from a local checkout:
dsh plugin --profile web add link:D:/VSCode_/Project/dsh/dsh-ai-teacher
The preset appears in the new-session preset picker as AI老师.
Prerequisites
- None beyond dsh itself. PDF reading uses the host's built-in
read_pdf tool.
How it works
On host startup the plugin syncs two trees into the harness home:
presets/ai-teacher → ~/.dsh/.agent-presets/ai-teacher — the preset compositionskills/* → ~/.dsh/skills/ — the teaching methods as dsh skills
The preset's agent.cordis.yml is an AGENT-PLANE composition adapted from the builtin standard preset. Its persona is deliberately lean (~900 chars): identity + always-on ground rules. Specific teaching methods live in skills that the agent loads on demand:
| Skill | Loaded when |
|---|
teach-new-concept | teaching a new concept — guess-before-prove, definition-motive-justification |
derive-step-by-step | doing a derivation/proof — one step per message, motive + justification each step |
answer-confusion | student is confused or asks — locate the stuck point, SOCRATES guidance |
frankel-study | studying Frankel's The Geometry of Physics — book-specific notation & structure |
The persona lists these skills with their trigger conditions, so loading is reliable while keeping the always-on prompt small.
License
MIT
