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。

Pesquisa web em tempo real para o DeepSeek Harness via API Tavily, com rotação atómica e resiliente de um agrupamento de chaves (rate limit 429, cota mensal 432/433, revogação 401) e contingência keyless — sem nunca interromper o agent loop.

Session-aware mesh relay for DSH agents: an Ed25519-signed receive route and delivery policy, plus outbound sending, a peer directory and a mesh-peer-registry client.

Creates local, content-addressed workspace checkpoints with diff previews and two-phase restore confirmation.

Manages Git worktrees in DeepSeek Harness with branch deletion controls and scoped workspace management.

Lets the model trigger compaction itself at a safe point via a compact_now tool (works mid-turn), plus a context_status tool reporting real token usage against the session's actual context window.

Animated kite that responds to agent activity, with configurable kite frames, patterns and colors, plus user-supplied image textures.

fal.ai native image generation for DSH: a FAL_KEY settings card that follows DSH's language (zh/en, English default) plus Agent tools (fal_generate_image async / fal_edit_image / fal_get_image_task / fal_list_image_models) that call queue.fal.run directly

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

DSH Web GUI 数据库管理面板：侧边栏入口 + 独立面板，统一管理 SQLite / MySQL / Redis（数据源配置、实时连接池、SQL 浏览器、Redis 键浏览器），并提供受审批保护的 agent 工具。 | Database management panel for the DeepSeek Harness Web GUI: a sidebar entry and a dedicated panel managing SQLite / MySQL / Redis (source co

Cut LLM costs: route routine tasks to cheap subagent models (DeepSeek Harness plugin)

DSH Skills Manager — Load and safely manage local Agent Skills in DSH

中瑞世联工作台 / CRWU audit workbench for DeepSeek Harness: pick a pending audit report, dispatch one AI audit subagent, watch and stop/restart it, auto-upload deliverables to Aliyun OSS.

DSH plugin that pushes agent progress and human-attention events to a Feishu (Lark) custom-bot webhook

DeepSeek Harness agent tool (session_search) for full-text search across historical sessions backed by core SQLite FTS5 engine without memory overhead.

DeepSeek Harness (dsh) host adapter for anysearch: thin Cordis bundle — hooks layer only, all business logic stays in the anysearch server over 127.0.0.1 HTTP IPC

dsh plugin: unattended approval gate — subagent/scheduled/cron approval requests get a bounded answer window, then settle with a fail-closed default instead of hanging forever (per origin or per session)

MCP server manager for DeepSeek Harness: add, edit, enable and test stdio / Streamable HTTP MCP servers from the Web settings page and from agent tools, connected and disconnected at runtime without restarting DSH

cc-switch-style global prompt for DeepSeek Harness (dsh 0.1.5): one user-editable block injected into the system prompt of every conversation, mirrored into each session project's AGENTS.md, and naming the harness's user-global AGENTS.md by absolute path

Semantic find tool for the pi coding agent and the DeepSeek Harness — a cascade-search port of jegrep / oh-my-pi jfind

该项目是一个Deepseek Harness的插件，目前是作为Maven Spring Boot 项目的专用启动器。它提供 Agent 工具和 Web 管理面板，用同一套进程管理逻辑完成项目检查、Profile 选择、启停、状态查询和日志查看。A dedicated DSH launcher for discovering, starting and managing Maven Spring Boot services on Windows.

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.

Jev (TypeSafe System One) gives the human a second opinion, not the agent. When DSH's model asks you a multiple-choice question, dsh-jev-advisor builds a structured Jev request and floats the recommendation, probability spread and confidence beside the op

Free OpenCode Zen models in DeepSeek Harness through native HTTP requests. No OpenCode installation, login, API key, server, container, or LiteLLM is required.