@deepseek-ai/dsh-client-ui-workflow-runDurable workflow-run Conversation Node and nested member disclosure for dsh web
最高の DSH プラグインを見つけよう
2035件
再利用できるスキル、ツール集、タスク機能の導入方法と使い方を探せます。
@deepseek-ai/dsh-client-ui-workflow-runDurable workflow-run Conversation Node and nested member disclosure for dsh web
@deepseek-ai/dsh-client-ui-workspaceWorkspace picker plugin: one WorkspacePicker registered into the sidebar and empty-state workspace slots
@deepseek-ai/dsh-client-webWeb shell kernel: bootWebShell (module system holding + seed table + two-stage boot + AppRoot gate + app-shell assembly entry), consumed by the apps/web vite entry
@deepseek-ai/dsh-client-web-reactShell-side React glue: createSlotRenderer, SessionProvider, bindSnapshotSelector (uSES bridge), useInvoke
@deepseek-ai/dsh-cmdlineImmutable command-line handoff from a dsh launcher to any app plugin that injects cmdlineArgs
@deepseek-ai/dsh-code-runtime-worker-threadWorker-thread implementation of the DeepSeek Harness code-execution seam
@deepseek-ai/dsh-headlessThe dsh one-shot bundle: a direct core Agent/Session runner over dsh-base with no Host, HTTP, or browser layer
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jiuge2467/DSH-Desktop#7c11e677a11c0378e7db3b4f61bd0a1f6a77025b&path:packages/bundle/headless@deepseek-ai/dsh-plugin-usageUsage (用量) deployment plugin for DeepSeek Harness (DSH): a real-time token & cost dashboard tab next to chat/trajectory, with live streaming estimates, DeepSeek official peak/off-peak pricing and OpenCode Go plan pricing, custom price table, and CSV/JSON export.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:GHJIVHIDD/dsh-plugin-usage@deepseek-ai/dsh-token-overviewTen-minute whole-machine AI token overview powered by the canonical Tokscale report skill.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:niushuanan/xiaozhuang-dsh#bb949c3d291ea55d378cc5fdb1b237b4f63127b6&path:plugins/token-overview@deepseek-ai/dsh-web-appThe dsh browser-surface bundle: the web patch layer over dsh-base plus the runtime glue plugin (frontend dist serving, web-surface prompt, bash runtime variables, URL line)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jiuge2467/DSH-Desktop#7c11e677a11c0378e7db3b4f61bd0a1f6a77025b&path:packages/bundle/web-app@dsh-enhanced/assistant-skillsCapture independently accepted tool workflows and replay versioned skills through the current native Goal and tool authority.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:22-ai-00/dsh-enhanced#d5a223edf3d73b0297a36b3e10f8d24142f94153&path:plugins/assistant-skills@dsh-external/dsh-ocr1-memory基于 DeepSeek-OCR1 光学压缩记忆系统:把记忆渲染为图像存储,支持 SoM 分段、年龄衰减/模糊化、激活召回、DSH Agent 检索
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DDDFXYqiming/dsh-ocr1-memory@dsh-external/kabutack统一管理 DSH 插件/Skill/MCP,支持角色化动态装载与切换
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:SunQingyuan0/Kabutack@dsh-fish/hubSearch dsh.fish and install any harness artifact from inside your agent, authenticated with your hub account.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:stvlynn/dsh.fish#6d9c452c311cd6a0d6eaa9ad0909b075af2797e5&path:packages/dsh-plugin-hub@dsh-memory/emit-skillMneme skill backend: lower active policy nodes into the DSH skill registry
@humanize/dsh-humanizeHumanize RLCR bundle for the DeepSeek Harness: DSH skills, Codex review, and the Humanize trajectory view.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zevorn/dsh-humanize@jasonfreelab/dsh-superpowersA DSH port of obra/superpowers — the full multi-agent software-development methodology (TDD, planning, debugging, review) as native DSH skills
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:JasonFreeLab/dsh-superpowers@jieai/dsh-plugin-vetPlugin trust pipeline for deepseek-harness (DSH): deterministic static scan, runtime guard (T1 sentinel + T2 hooks), audit protocol skill, GUI shield. Alarm-only monitor, never an enforcer.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wulun811/dsh-plugin-vet@kakadeka/dsh-batonBaton 项目接力协作系统 —— DeepSeek Harness 组合包(19 个 baton_* 工具)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kakadeka/Baton@kiligzzz/dsh-skill-mcp-managerDSH Skill MCP Manager for DeepSeek Harness Desktop: manage MCP servers (~/.dsh/mcp.json, live mount/unmount) and Skills (~/.dsh/skills, toggle/delete/import/folder-sync) from a Settings-page UI, plus a per-session capability-directory prompt section. Dual-face dsh plugin (host + browser half), no DSH source changes.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kiligzzz/dsh-skill-mcp-manager@kobenfang/dsh-listformAgent Skill for DeepSeek Harness (dsh): list.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kobenfang/ListForm@lanxing/dsh-skill-managerSkill manager for the dsh web GUI: a sidebar entry plus a panel listing the skills visible to the current session (split into global / local groups) with per-skill on/off switches, create / import / edit / delete. Disabling a skill removes it from the model catalog, the `skill` tool, and /name gestures through a shadow provider on the host skill registry; state persists in ~/.dsh/dsh-skill-manager.json. Hot-pluggable — mounted via a profile bundle link, no dsh source changes.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Lanxing6480/dsh-skill-manager@lhmd/dsh-director-toolkitDeepSeek Harness plugin that turns a 3D idea into a shootable scene brief and publish-ready showcase copy.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lhmd/dsh-director-toolkit@local/dsh-session-settingsSession settings, MCP servers, and Skill management plugin for DeepSeek Harness (DSH) Web GUI.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:u9521/dsh-session-settings機能のキーワードやカテゴリで絞り込み、更新日や GitHub Star で並べ替えます。
紹介、AI 分析、元の README を読み、プラグインの機能を確認します。
互換性、依存関係、手順を確認し、利用可能なインストールコマンドをコピーします。
DeepSeek Harness のコミュニティプラグイン集です。紹介、ソースへのリンク、インストール手順をまとめ、拡張機能の検索と比較を支援します。
いいえ。詳細ページは記録された互換性と依存関係を表示します。不明は互換性ありを意味しません。導入前にプロジェクトの文書を確認してください。
詳細ページのインストール欄を開き、コマンドがあれば Harness 環境で実行します。ない場合はプロジェクトの README に従ってください。