Плагины

LLM debug console for DeepSeek Harness: captures the full content of every model call at the llm/stream waterfall (options, stream chunks, usage, wire protocol) and shows it in a DevTools-style docked panel, with shared-prefix context diffing, wire-JSON reconstruction, JSON export and a runtime-tunable capture policy.

macOS desk pet forked from anneheartrecord/dsh-desk-pet, in a real always-on-top window that covers fullscreen Spaces: the pose follows whatever the local DSH is doing across six states, the right-click menu is a real AppKit one carrying quiet mode and a session list, and seven skins ship with it. Two of the seven are drawn from geometry by a script in the repo rather than generated, so making a skin needs no image model and no API credits; the bundled skill still expands one photo into all eighteen poses on your own image tool and credentials. There is no Electron and nothing to install alongside it: the window is driven through ctypes on the Python that ships with macOS.

Screenshot-to-input for DeepSeek Harness: composer camera button + global hotkey (Alt+A) + listener bound to the app lifecycle, configurable in settings. 截图自动粘贴到 DSH 输入框：相机按钮 + 全局快捷键 + 生命周期绑定 + 设置页配置。

聊天输入框图片工具(自研):上传图片(≤10MB 防烧 token) + 自定义区域截图(Electron desktopCapturer),注入 DSH 草稿图片轨。零外部依赖。

A microphone button for DeepSeek Harness that writes browser speech recognition into the composer draft.

Browses the petdex.dev catalog in Settings and runs a floating macOS desktop pet that reacts to agent activity.

Load testing with Grafana k6: smoke-test first, then run scripts and read percentiles from the JSON summary.

Adds a Settings card that pops a system notification and optional chime when a conversation turn completes.

Registers six native DeepSeek Harness tools for deterministic fixture-based or read-only Microsoft SQL Server and Oracle database analysis, planning, preview, and readback.

Publishes a project plan the agent writes: ordered steps in a panel docked to the right of the frame, and the framework graph as an auto-laid-out diagram in its own centre tab, downloadable as SVG or PNG. Charts are rebuilt from the session log, so they survive restart and resume.

Adds a configurable dsh-ui status card before each DSH agent reply, with bilingual templates and a live settings preview. Requires @omdsh-dev/dsh-genui from dsh-market; without it, the card markup is emitted unrendered.

Reliable todo panel that survives restarts (official panel only re-renders on write — fixed via projection pre-warm) with three-state completion verification: evidence exists → verified, fake evidence → blocked, no evidence → unverified badge; settings toggle to fall back to official behavior.

Use ChatGPT (Codex) and Gemini Code Assist subscriptions as DeepSeek Harness LLM providers — OAuth login in the web UI, no API keys

让 DeepSeek Harness 的思考（reasoning）与最终回答默认使用简体中文的中文插件

A searchable, sortable model picker for the DeepSeek Harness Web UI — provider groups, favorites, models.dev prices, context windows, live per-task token cost and a local-model filter. One-command install: dsh plugin add dsh-model-garden.

像 Claude Code 一样，DeepSeek Harness 现在也允许您自定义等待 AI 回复时的状态提示语。您可以根据不同轮次或场景，灵活替换占位文案，让开发助手在“思考”时也能传递您想要的信息。

deepseek harness 久坐提醒、余额查询小插件。

DSH 智能上下文压缩插件 —— 在有限窗口内管理认知资源，让 Agent 记住真正重要的信息。 Smart context compression for DSH — managing cognitive resources within limited windows, so your Agent remembers what truly matters.

用 Vditor 3.11.3（IR 即时渲染模式）接管 DSH Web 的聊天输入卡片，并把用户消息渲染为完整 Markdown。

一个可直接链接到 DeepSeek Harness（DSH）Web profile 的独立安全检查插件。在安装或使用不受信任的 Skill 前，先执行浏览器本地粗检，再由用户决定是否调用 DSH 已配置的大模型进行结构化复核。

Inspect the files an agent touched, review session artifacts, preview bounded content, and manage local Workspace Memory without leaving the conversation.

给dsh增加下问题跳转与会话删除的功能

DeepSeek Harness (DSH) plugin that delegates coding tasks to the Claude Code and Codex agent CLIs and streams the whole run live — autonomous control, multi-account, automatic install, git worktrees, and any Anthropic-compatible endpoint.

DeepSeek Harness (dsh) plugin: turn one idea into a narrated video cut from your own asset folder, stopping four times to ask you first.