DSH 技能调用审计 + 应用内 skill 管理器

MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (approval-gated writes, automatic backups) and a tool trial console over the official tool pipeline (Apache-2.0, dsh-plugin).

DSH Web UI plugin: skill and MCP management（Web界面的skill/MCP管理工具）

DSH web plugin: a LiveBench tab in the Trajectory view (right of 对话/轨迹). Run LiveBench evaluations against every model configured in the DeepSeek Harness — pick provider/model, category, task, release and question range from dropdowns, watch progress, and

公文全流程处理工具——基于 GB/T 9704《党政机关公文格式》 国家标准，面向公文写作、企事业单位材料编制场景，支持 格式检查与修复、内容优化（Word 原生修订+批注/差异对比版）、模板生成、Markdown 转公文、版头版记页码注入、事实核验、风格增强 等完整能力。原生支持 DeepSeek Harness (DSH) 技能系统，打包为可被 AI Agent 直接调用的 Skill，完全自包含，克隆即用。

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DeepSeek Harness (DSH) plugin: a live iOS Simulator — and a USB-connected iPhone — inside the conversation. 22 agent tools for booting, building, driving the UI by accessibility identity, OCR text or list rows, plus a streaming sidebar panel you can tap and drag on.

Mechanical plan/dev/self-audit/external-audit gates for AI coding agents, with a configurable role-routing topology engine, an MCP-UI live status panel, and native-tooling Claude Code V2 dispatch. Claude Code, Codex, OpenClaw, and PyPI.

Package an existing talking-head / interview / podcast video with timed, designed GRAPHIC OVERLAY cards — kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture — synced to the transcript, on a 16:9 / 9:16 / 4:5 canvas of your choice; the clip plays untouched underneath

🌊 Persistent dock & fully-customizable balance/usage panel for DeepSeek Harness — activity heatmap, dual-channel comparison, local-only & privacy-first

Keep the state. Change the model. Shared context and a multi-model panel across Claude Code, Codex, Cursor, Antigravity, GitHub Copilot, and Muse.

Knowledge base & RAG plugin for DeepSeek Harness (DSH): chunking, local embeddings, hybrid search, management panel

Source Control and GitHub panel for DeepSeek Harness.

dsh Web UI admin plugin: eleven management panels (extensions, skills, MCP servers, subagents, commands, hooks, automation - cron / webhook / workflow, sessions & web search, usage dashboard, todo dock) inside the official dsh settings UI

Pin sessions and workspaces to the top of the DeepSeek Harness sidebar with per-pin row colors — a dual-face (host + client) dsh plugin with row [pin][swatch] controls, a header toggle, and a pinned panel.

DSH 设置面板会话管理器：归档 / 恢复 / 彻底删除 / 移动到其他工作区，带工作区标签与会话日期；统一「会话管理」面板。Session manager for the DeepSeek Harness settings panel — archive / restore / permanently delete / move sessions across workspaces, with workspace tags & session dates in one unified panel.

Phone control panel for local Conductor agents. Reads ride SQLite + git; prompts ride Conductor's own dispatch path.

掌上 dsh — the standalone mobile surface for the dsh web GUI: scan-to-pair device trust, the /m/ phone UI, the /m/api RPC channel with realtime SSE mux bridge, and a polished desktop pairing panel. Extracted from dsh-remote-web-ui (M1, behavior-identical)

DSH session completion notifier: appends a plugin system message to the session log on turn/end and pushes browser notifications (Web Notification + toast) with custom per-reason image/icon/alert-sound, plus a fully customizable official settings panel (p

Shared engine for dsh-plugin-ops: profile readers, scan rules, fault memory, fix planner, panel API

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DeepSeek Harness (dsh) plugin: prompt your home servers into existence through home-hosted — Gitea, Jellyfin, anything — and manage the panel, the entries and boot autostart from dsh.

Mnemosyne memory for DeepSeek Harness: remember / recall / forget / stats / sleep tools, embedded skill, auto-setup, optional auto-sync/prefetch, a Settings panel, and a managed memory dashboard. Data lives under ~/.dsh/mnemosyne.

DSH plugin: one settings panel for MCP servers, skills, scenes, memories, subagent personas and AGENTS.md presets — a scene switches the whole environment, and the model can drive it from chat too.