Productivity · DeepSeek Harness plugins — Page 187

Black-first Matrix hacker skin for DeepSeek Harness (DSH) Web with session-powered code rain and readable provider reasoning.

DSH 技能包插件（汉化版）：把 mattpocock/skills 仓库的 25 个 promoted 技能（engineering 18 个 + productivity 7 个）全文汉化后打包为 host 端 Cordis 技能 provider，经 ctx.skills 注册（rank 600 bundled 级），供 DSH 技能系统发现与调用。原出处：https://github.com/mattpocock/skills（作者 Matt Pocock，MIT 许可）。

Matt Pocock's agent skills (mattpocock/skills 1.2.3) as a self-contained DeepSeek Harness plugin: the full 35-skill set ships inside the package and is registered on ctx.skills by a read-only provider, so the set installs, updates and uninstalls as one plugin instead of 35 loose copies.

MaxCompute (ODPS) data analysis plugin for DeepSeek Harness: metadata browsing, cost-gated SQL execution, background jobs and result export.

DSH 的 MCP 与工具一键部署中枢（桌面优先 / Windows 友好）：设置页一键装机、在线智能搜索（官方 Registry/npm/GitHub）并与 DSH 原生工具去重、调用权限分级（询问/本会话/永久/禁用）、内置终端，以及 7 个零依赖内置 MCP 服务（61 个工具）

Workspace-level MCP manager for DeepSeek Harness: discovers .dsh/dshmm/mcp.json per workspace and dynamically registers mcp-client instances

Web UI plugin for dsh-mcp-mgr: MCP management tab in dsh settings

MCP Tools panel for the DeepSeek Harness Web GUI: see every MCP server and tool available in your session, grouped by server, with transport info, JSON schemas, live search and last-used times derived from real session logs.

DSH 插件：把 51 单片机的 Keil C51 编译、Proteus 仿真与确定性判定接进 AI 会话（5 个工具 + 命令行内核）

Small DeepSeek Harness memory plugin: the model writes markdown files under ~/.dsh/memory, the host injects them next session. No auto-extract, no vector DB.

DeepSeek Harness Web GUI 插件:会话输入框 📎 按钮——图片直传官方附件管线;文本类原样暂存;文档(docx/pptx/xlsx/pdf/rtf/odt/epub/csv…)经本地 anydoc 转为 Markdown 后暂存,消息只插图短回执。Composer picker that converts documents to Markdown.

DSH Markdown 阅读插件：点击会话中的 MD/图片文件链接时，在浏览器右侧「详情栏」内以真正的三栏布局（侧边栏 | 会话区 | MD 文档）直接渲染阅读，而不是交给系统默认程序。目录 TOC、复制原文、字号缩放、自动跟随磁盘变更、图片内联预览。双半身插件：宿主半身提供只读 HTTP 路由，浏览器半身拦截点击并渲染面板。

Media Forge: agent + skills workflow for media-generation APIs, with a sidebar panel for loading saved generation skills into a conversation

Generate images and videos in DSH chat via OpenAI-compatible providers configured in Model settings; dedicated Settings menu and workspace media_gen output.

All-in-one inline media for DeepSeek Harness chat: ```mip-img / ```mip-video / ```mip-audio fences render images (cards + lightbox + grids, TGA→PNG), native <video> and <audio> players right inside the message (house pattern of img-preview/dsh-mermaid/pbr-render). Image route whole-reads local workspace images; media route streams with HTTP Range seeking and an ffmpeg transcode fallback (cached) for containers browsers cannot play (mkv/avi/flv/wma...). Trust-fenced (loopback + webRuntime.trustedHosts) so LAN/mobile access keeps working. Supersedes the separate img-preview + video/audio fence plugins.

DSH plugin: per-workspace long-term memory store (.dsh-memory/memory.json) plus session archive management (archive / list / full-text search over archived sessions). Ships 7 model tools and a Settings page.

Session-scoped memory tab for DeepSeek Harness, rendered beside Chat / Trajectory / Context, covering the whole /memory surface (list, query, add, rewrite, remove, merge, proposals, budgets, audit, adapters, export, import). A companion to dsh-memento: it consumes the public ctx.memory seam and registers its own routes, so it never forks upstream. Reading the tab never increments the store's recall counters. Every route call carries a deadline, so a wedged request reports a failure instead of locking the tab. Removes address entries by primary key, so two memories with identical text stay individually deletable.

MEMFLOW memory framework for DeepSeek Harness — distributed memory architecture: every project carries its own memory/, one plugin for Hermes-like memory across all your workflows

Memo — session memory search for DeepSeek Harness agents: cross-session full-text recall (memo_search), distilled notes (memo_remember), and corpus stats (memo_stats) over the official sessionQuery service. Zero infrastructure, local-first.

DeepSeek Harness dual-ledger cross-session memory: auto-extracted long-term facts (MEMORY.md) plus a living project progress ledger (PROGRESS.md), recalled into every new session.

Memorix memory panel for the DSH Web GUI: browse every project and memory, read full details, archive/restore and create memories — inside the session, with writes going through the official memorix CLI.

Layered file memory for DeepSeek Harness: global snapshot injection, workspace notes, session recall, post-compaction flush, and a bundled usage skill

DSH memory plugin: RRF multi-lane recall / confirm-based writes / Fernet vault / session harvest（DSH 记忆插件：五路 RRF 召回 / 确认制写入 / Fernet 加密库 / 会话转录）

Cross-session long-term memory for DeepSeek Harness: a schema-validated memory domain over ctx.storage plus model-facing remember/recall/index/forget tools and a memory protocol prompt section.