プラグイン

DeepSeek Harness 向けの GPU 対応実行レイヤー。gpu_status / gpu_exec / gpu_run_bg ツール、ステップごとの GPU コンテキスト注入、CUDA_VISIBLE_DEVICES による自動カード選択に対応します。

DeepSeek Harness プラグイン。OpenAI 互換エンドポイント上の Qwen3 系モデルに対し、リクエストごとの思考モード切り替え(enable_thinking)を提供します。

DeepSeek Harness 向けの DeepSeek 利用状況モニター。アカウント残高照会とトークン使用量サマリーを、モデルから呼び出せるツールとして提供します。

DeepSeek Harness の二面性プラグイン。Web 設定にビジュアルなプラグインマネージャータブを追加し、各プラグイン行の有効/無効切り替え、インストール済みプラグイン(公式の @deepseek-ai/* 行を含む)の npm レジストリとの照合と更新、オリジナルファイルの修復に対応します。

MCP 経由のホスト型ツールサーバー：請求書と銀行明細の抽出（コード内算術チェック付き）、整数セントでの台帳照合、PDF と表の変換、SQL 方言のトランスパイル、中国移動網の視点からの中国本土到達性プローブ。

コーディングエージェント向けのデザイン I/O。宣言(spec/domain/craft/design/components/template)と契約(skill/evaluator)によって制御可能な UI 生成を行います。コンソール、ダッシュボード、エージェント運用、CJK 優先アプリなどのプロダクト UI 向け。

/repro コマンドは、最小限で機密情報を除去した再現可能な問題バンドル(セッションログ、失敗したコマンド、Git diff)をエクスポートします。

DeepSeek Harness 向けの再利用可能な Markdown プロンプトプロファイル。ターンごとのモデル選択、引数の置換、状態の復元に対応します。

テキストの衛生管理を行う dsh プラグイン。信頼できないテキストのサニタイズ、不可視文字のスキャン、LLM 由来の整形の除去、CSV 数式インジェクションのエスケープに対応します。

DeepSeek Harness の全スラッシュコマンドを実行可能なボタンとして一覧表示するフローティングコマンドデッキ。使用頻度順に並び替え。

Fusion for DSH in one bundle: the upstream MCP tools with their exact schemas and an editable endpoint, plus the fusion-harness CLI bridged as tools.

Local dataset analysis tools for DSH — ingest once, keep large tables on disk, call small JSON tools

ROFilter reverse-osmosis design MCP server (rofilter.cn): membrane library, water analysis & full system design. stdio MCP (Coze/Doubao, Qwen, WorkBuddy, Claude, Cursor), Streamable HTTP, DeepSeek Harness bundle, plus Agent Skill zips.

Reusable report automation skill with target-template and AI-generated standard-report flows

Adds a right-sidebar tab to the DSH web UI with the daily Japanese anime broadcast calendar from Bangumi (api.bgm.tv), grouped Monday through Sunday with today highlighted; hovering a card shows a details popover (cover, score, rank, air date, episode count, tags and synopsis), and clicking opens the title on Bangumi; the host caches the calendar for 10 minutes and subjects for 24 hours on disk so the last successful table still displays offline, and falls back to common local proxy ports when the direct connection fails.

A desktop pet for DSH: a blue whale girl with 104 animations and built-in voice. It is standalone, but its pet runtime is a rework of dsh-dafeiyu — disable the upstream dsh-dafeiyu before installing, or both will run and fight over the control port. Windows x64 only, and the first launch downloads about 580 MB of assets.

Simulated FX trading arena played against an algorithmic whale-chan opponent: a live canvas candlestick chart over five instruments (EUR/TOKEN, GBP/TOKEN, TOKEN/JPY, gold, and Whale/TOKEN, her own coin she never shorts), selectable leverage from 10x to 500x, and two modes — a timed mode with 90s to 500s rounds settled on equity, and an untimed goal mode that starts with $300,000 and ends when someone first reaches $20M or goes into debt (equity below zero, no maintenance margin). The match runs in a module-level engine, so switching to a conversation does not stop it or restart it. Margin and spread are modeled, prices are a local random walk with occasional news shocks, and nothing touches the network or real money.

SSH-backed remote directories and linked local⇄remote workspaces: read-only remote browsing, an editable linked workbench, bidirectional SFTP transfer, mirroring and a linked_workspace tool. Sidebar pages require the dsh-better-sidebar plugin (v0.24+); without it only the Settings pages load.

Manage agent-team roles in the dsh Web GUI: each role becomes its own selectable agent preset with per-role tool, skill and MCP switches.

A five-stage engineering loop for agent-built projects — spec, build, verify, ship, learn — with one artifact and one gate per phase, so an agent always knows the single next action. Role policy, project templates and deployment sit behind explicit ports: swap the implementation without rewriting the loop. Its scaffold generator lays out the internal layers of a project — `init --layout {none,webapp,service,plugin} --stack {python,node,none}` — from nine layers sampled out of three unrelated production projects: entry docs, an OpenSpec plan face, a spec truth layer (INDEX, one file per domain, TESTING, CONSTITUTION), a wiki split into knowledge / progress / runbook, the six `.agents/` slots, server+web, scripts/deploy/config, tests+e2e and a gitignored out/. Non-none layouts also gate the directory contract and compile every source root. Ships a Python CLI (init/next/check/ship/new) plus a local command adapter and an SSH/systemd adapter with release directories, an atomic current/previous switch, a deploy lock, a commit-versioned JSON probe and automatic rollback on a failed probe; bootstrap and teardown provision and remove the unit and the reverse-proxy block idempotently and refuse to delete a root they did not create. Includes a runnable example workspace and a skill that keeps the agent on one phase at a time. Requires Python 3.10+ and PyYAML; remote deploys need SSH access, rsync, systemd and Caddy on the target.

Editable PowerPoint authoring workflow (a DSH-skill adaptation of icip-cas/PPTAgent) with concise Chinese business styling, HTML slide rendering and PPTX export review. Linux/WSL or macOS only; first use requires LibreOffice, Chinese fonts and a one-time setup step that installs Python/uv and Playwright Chromium.

Agent application evaluation toolkit for DeepSeek Harness: offline/online suites judged from audit side effects, baseline diff with zero safety-regression tolerance, and mutation tests proving the evaluators themselves catch regressions. Framework-agnostic - needs a callable chat endpoint and queryable tool-call records.

Left-sidebar PPT workbench: imports an existing PPTX element by element (theme colours, gradients with alpha, rounded shapes, master/layout decorations, chart pages rasterized) and renders it as real 16:9 slides, lets you edit text and tables directly on the page, and hosts an AI chat column that rewrites the same deck.json.

Text-to-speech service with Doubao TTS 2.0, Alibaba Bailian and OpenAI-compatible providers and a user-chosen voice; the agent speaks through tts_service_say, split into segments with an optional tone each, and other plugins can reuse ctx.ttsService.