@beihaizb/dsh-notebook
A stateful, Agent-controllable Jupyter workspace for DeepSeek Harness: a persistent ipykernel runtime the DSH agent can read, edit, execute, and inspect, with VS Code-aligned cell UI and .ipynb save/load.
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A stateful, Agent-controllable Jupyter workspace for DeepSeek Harness: a persistent ipykernel runtime the DSH agent can read, edit, execute, and inspect, with VS Code-aligned cell UI and .ipynb save/load.
Installable DeepSeek Harness profile bundle for a separately installed MediaCrawler checkout
PR 评估和建议工具 — 基于历史反模式和成功模式
DeepSeek Harness plugin: content-aware PDF reading tools for vision models (pdf_scan / pdf_read_page / pdf_render_region). Detects figures (vector+raster), tables, math, and two-column layout per page, then routes text pages to extraction and figure/table/math pages to high-DPI region crops rendered for read_image — avoiding DeepSeek's ~800x800 whole-page token ceiling. Backed by PyMuPDF; returns a clear warning (with the exact install command) when Python or a dependency is missing.
Local-first RAG knowledge tools for DSH: kb_query / kb_ingest / kb_crawl / kb_related, backed by the kb-rag Python pipeline (Ollama bge-m3 + ChromaDB + SiYuan). Zero API cost, data never leaves your machine.
Extensible local development error HUD with Go, Python, Node.js, TypeScript, Java, Spring, and opt-in AI diagnosis for DeepSeek Harness
Operate chat.deepseek.com as a programmable agent from inside DeepSeek Harness: list/get/search/chat sessions, shares, digest. Wraps the battle-tested deepseek-ops python client. 把 DeepSeek 网页版当作可编程 Agent 的 DSH 插件
PRO-LONG-style programmatic memory for DeepSeek Harness: appends every session event to a per-workspace log.txt that the agent retrieves with grep/python. Built-in write probe, /prolong status command and permission-deny counter.
DeepSeek Harness plugin (temporary, pre-upstream-fix): automatically injects a CPython tempfile shim (PYTHONPATH -> sitecustomize) into every confined shell command on the Windows sandbox, so python/pytest tempfile use works with zero extra tools, zero model-context overhead, and zero escalation.
DSH (DeepSeek Harness) scaffold plugin & preset: strict 5-phase init runbook, engineering standards, and six runnable starter templates (node-ts / react-vite / python / go / spring-boot / monorepo). 项目初始化脚手架预设:严格流程 + 工程规范 + 六套模板。
Self-contained quant workspace for DeepSeek Harness: bundled Python engine (Yahoo data) with pluggable strategies — single-ticker signal card / backtest / review tools.
接口契约助手:解析 OpenAPI 3.x(JSON/YAML),生成 TypeScript / Python 类型化客户端,并检测接口升级的破坏性变更
接口测试生成:解析 OpenAPI 3.x,为每个接口生成覆盖成功/缺参/非法枚举的测试用例,输出 Python(pytest) 或 TypeScript(vitest) 测试骨架
OI 出题工作台:知识点锁定、数据构造、本地评测,打包 Hydro/HOJ 原生题目包,发布/管理 Hydro 与 HOJ OJ,提供 Python 外部管理 UI 与系统斜杠命令。Opt-in skill-first plugin for DeepSeek Harness.
DSH-native uv environment manager with pip fallback and conda visibility
Vision DSH bundle: give the agent screen/window vision — see tool captures via the bundled Python cvision and returns the image natively
DSH Web plugin: a right-docked file panel that browses any directory and views/edits text, images (brightness/contrast/grayscale/rotate/flip), and Office/PDF documents (.docx/.xlsx/.pptx/.pdf via local Python).
DSH 技能包:遗留代码现代化/简化工作流(preflight → assess → map → transform),含 Cordis 挂载插件、离线 Python 脚本与冒烟测试。
Eight DeepSeek Harness plugins: persona, language guard, vision fallback, python workdir guard, windows encoding guard, cross-agent memory, image generation, and skill shell injection.
WorldQuant BRAIN 平台桥(Python Bridge 模式):TS 壳管理 Python 子进程(stdio JSON-RPC),向 DSH 工具面暴露 AlphaFactory 平台能力
Data-provider MCP server for football: results, stats, odds, standings, form and head-to-head for 18 European leagues (1993-94 →) and 8 cup competitions, for any MCP client. Also a DeepSeek Harness (dsh) plugin.
CodeAct agent loop for the DeepSeek Harness: a persistent IPython session as the model's action space, with harness tools bridged in as a virtual `__dsh__.tools` module.
DSH plugin: a persistent, per-session Python interpreter provisioned with Biomni's biomedical tool library, plus a Settings section that reports what the interpreter can actually do.
Adobe Lightroom Classic for DeepSeek Harness (dsh) — mounts the lightroom-py MCP server as native dsh tools. Pure-config bundle inside the lightroom-py repo; the Python package comes from PyPI (pip install lightroom-py).