shidi-dsh-plugin
AI-for-Science research workflow skill bundle for DeepSeek Harness: multi-angle literature review with per-angle files, anchored experiment design with a caveat list, figures, paper reading; cross-verification briefs.
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AI-for-Science research workflow skill bundle for DeepSeek Harness: multi-angle literature review with per-angle files, anchored experiment design with a caveat list, figures, paper reading; cross-verification briefs.
CodeGraph for DSH — registers native `codegraph_*` tools (core surface: status/init/sync/explore; full surface adds query/node/files/callers/callees/impact/affected/index/uninit) wrapping the `codegraph` CLI, plus a prompt front-load hook that steers structural CodeGraph context into structural prompts, so the DSH agent can bootstrap, maintain, and query a pre-indexed code knowledge graph without grepping files.
DSH statistics tool: describe/percentile/frequency/correlation over explicit finite numeric arrays, zero-dependency, deterministic, numerically stable (Neumaier sum + Welford variance + linear-interpolation percentiles + Spearman midrank)
造书工作台:把教材 PDF 加工成「AI 教学蓝本」的 6 阶段流水线(dsh 插件包)。主 AI 统筹跑流水线(亲自做或派小助手分头干),用户只做四件事:上传材料、确认探查结果、在关卡拍板、抽查提意见。全程中文,无需技术知识。
Search large MCP catalogs in DeepSeek Harness with two tools, on-demand schemas, and structured results for multi-step workflows
DeepSeek Harness plugin: per-event task-completion and attention sounds for turn-end / approval / question / plan-review / goal-blocked / task-failure, each with its own sound (built-in synth, local audio file) and volume, with a separate subagent channel (Web UI)
Search, favorites, branching, and personalization for the official DeepSeek Harness turn navigator
Per-conversation persona / master prompt for DeepSeek Harness: a small box beside the mode controls in the composer lets you create, switch and manage the highest-priority persona of the current conversation (subagents inherit, new conversations inherit the last-used persona).
DeepSeek Harness (dsh) browser companion: a Chrome side panel that embeds the full dsh web UI and lets the dsh agent read the current page, capture HTTP traffic, and drive the browser.
DeepSeek Harness plugin: secondary working directories for a project. The agent keeps the primary workspace as cwd, gains equal write/exec permissions on configured secondary directories under workspace-write mode, and is notified of configuration changes at the next message boundary. Configurable from the session header AND from the session-creation page (before the first message) through a sessionless multiFolder remote API.
The standard way to install Claude Code / Codex / Cursor / Kimi plugin marketplace suites in DeepSeek Harness (DSH) — zero conversion, zero file copying. Skills, MCP servers, hooks and slash commands are injected into your dsh sessions at runtime.
CAD visualization plugin for DeepSeek Harness: cad_view / cad_info tools with an embedded 3D (STL/OBJ/STEP/IGES) and 2D (DXF/SVG) viewer card in the Web UI
DSH 技能移植工具插件:把 ~/.codex 里的 Codex 官方插件(170+ 个)一键移植为 DSH 技能(codex_list / codex_port / codex_status),frontmatter 自动转换、名称清洗、幂等跳过。
会话级自动上下文压缩插件:回合中每步前 + 回合结束检测上下文用量,超过会话阈值自动 compact,摘要注入上下文后自然继续(DeepSeek Harness / DSH)
GitHub Copilot adapter for the DeepSeek Harness LLM seam: OAuth device-flow sign-in, Copilot token exchange, and OpenAI-compatible chat completions against api.githubcopilot.com
Route DeepSeek Harness agent requests by role: planner model in plan mode, default model otherwise, subagent model for subagents.
OpenAI Codex provider for DeepSeek Harness with device-code OAuth, Codex CLI import, token refresh, and a web settings panel.
dsh 插件 · 技能市场:一个页面管理本机所有 coding agent 的技能(Claude、ZCode、Codex 等十余个执行器),一键收编进 DSH 用户库供 skill 工具调用;内置 6600+ ntd 技能市场可浏览搜索安装,支持注入开销(≈token/字符)统计与排序、模型可见性治理与市场每日自动同步。
Mobile layout fixes for the DeepSeek Harness Web UI: settings panel and sidebar on narrow (≤700px) screens. Pure client-side CSS overlay.
把开发变成 RPG:回合/工具/todo 积累 XP、成就徽章、等级与赛季。事件流驱动,纯函数计分。
低成本视频理解工具:B站链接/BV/本地视频 → 信息层(ASR+场景+对象轨迹+YOLO)→ 摘要+问答。问题驱动动态路由分层(L0/L1/L2)、语义层复用、预算上限。采用 Python 引擎:核心层需 faster-whisper / opencv / yt-dlp(约 200-300MB),可选语义层另需约 2GB 的 torch / transformers / ultralytics,内置 doctor --fix 一键建 venv 并装齐两者。
DeepSeek Harness-native publicity toolkit: turn any long-form source into a source-grounded, platform-native promotion matrix.
OAuth-enabled Streamable HTTP MCP client plugin for DeepSeek Harness
Codex App Server model provider plugin for DeepSeek Harness