Plugins

MC 资产面板 + 「MC 模组工作室」模式 + mc-mod / mc-art 两个 skill：3D+物品栏、像素/结构编辑器、出错的报告自动放进输入框、GameTest 判定闭环。原生 Windows 可用（不需要 WSL），不绑定任何具体 mod。

Opt-in DeepSeek Harness skill bundle that turns course, lecture, tutorial, documentary, meeting, and talk videos into structured study notes.

Harness-neutral Traditional Chinese enforcer + offline converter (skill, DSH bundle, CLI). One script axis either way + Cantonese/Japanese-only filters. Converts both ways; optional wording preference. Also: an LLM output guard, cp950/GBK console scan.

DSH composer UI for searching current-session user-invocable skills and inserting the verified slash command into the draft without sending.

Discovers workspace Markdown commands, skills and path-scoped rules from .dsh and .agents directories.

DSH bundle that vendors the full mattpocock/skills tree, preserves upstream invocation policies, and applies an exact-match DSH semantic overlay checked during automatic upstream synchronization.

XingTu 26 production-grade AI agent skills, packaged as a DeepSeek Harness (DSH) skills plugin — token compression, code review, safe refactor, migration, evidence review & more. 26 个生产级 SKILL.md 技能，DSH 一键安装即用。

Project-based learning coach: a subject-agnostic teaching engine plus swappable domain packs (Unity/C# included), shipped both as a DSH skill and as an installable bundle. The skill protocol enforces attempt-first teaching and graded hints; a zero-dependency validator rejects ability claims their evidence does not support and blocks stage acceptance while blockers are open.

A DSH plugin that turns a completed conversation into a reusable, validated DSH Skill bundle.

Decides whether Python code is original or a derivative work: reports the longest identical expression span against an upstream tree, an exemption rationale per finding, and a risk list. Pure stdlib `ast` analysis — offline, no model calls.

Capture selected DSH, local MCP, or native WebMCP calls as reviewed, parameterized routines, expose typed tools, and replay with fresh approval.

Product-thinking companion for DeepSeek Harness: clarifies negative boundaries first, separates facts from assumptions, routes through seven product lenses, and persists confirmed decisions to project memory.

Aipx toolkit: skills plus a Hub Console that fronts every MCP server with ~4 meta tools — server pool health, per-tool enable/disable, a tool catalog, and a search playground showing exactly what mcp_search hands the model.

Lenovo laptop diagnostics for DSH: battery health on macOS and Windows, plus Windows device, performance, storage, app and Wi-Fi checks, user-confirmed maintenance actions, and battery warranty, parts, store and appointment helpers.

One-click silent DSH restart button in the composer input bar. DeepSeek Harness plugin (dsh-plugin).

DeepSeek Harness 的 Skills 管理器：在 设置 → 插件 → Skills 标签页中发现 GitHub 上的 Agent Skills 仓库（SKILL.md 技能包，topic:agent-skills / dsh-skill / claude-skills），查看详情后一键安装 / 移除。技能装入 $DSH_HOME/skills，skill-filesystem 热加载，无需重启。支持 GitHub 代理。

怀疑驱动开发：每个非平凡决策在落地前接受新鲜上下文的对抗性审查（CLAIM→EXTRACT→DOUBT→RECONCILE→STOP）。受 addyosmani/agent-skills（88k★ MIT）启发。

上下文工程：按层级（规则文件→规格→源码→错误输出→对话历史）主动策划 agent 看到的信息，提升输出质量。受 addyosmani/agent-skills（88k★ MIT）启发。

vibeweaver 的 deepseek harness 专属发行版

DeepSeek Harness status-light plugin: character expressions follow the model state, chat-bubble notifications, and a Windows always-on-top mini-window. 状态灯插件：角色表情跟随模型状态 + 聊天框气泡 + 系统级置顶小窗。

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 Web 桌宠插件：浏览器里养一只随会话状态换表情的桌宠（内置 demo/remiel），支持随时切换或替换宠物形象；自带设置面板、一键更新与反馈入口

MCP client hub (stdio / Streamable HTTP / SSE) with a web console for DeepSeek Harness — manage MCP servers, agent skills, slash commands, project & global memory, and prompt sections.