forkprobe-dsh
★ 72forkprobe-dshNative DeepSeek Harness plugin for comparing AI Skills on the same task and choosing a winner from a local ForkProbe report.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Jayden-X-L/forkprobe最高の DSH プラグインを見つけよう
20408件
DeepSeek Harness のコミュニティプラグインを検索。用途、インストール方法、互換性を比較し、AI ワークフローに合う拡張機能を見つけましょう。
forkprobe-dshNative DeepSeek Harness plugin for comparing AI Skills on the same task and choosing a winner from a local ForkProbe report.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Jayden-X-L/forkprobejevcore-dshTypeSafe Jev as a first-class Cordis service and three model-visible tools for DeepSeek Harness — offline by default, egress disclosed, never default-on.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PerryLink/jevcore#9b50597fb5a42de6f825752f21c3209875c221eb&path:packages/dshdsh-web-plugin-managerManage DeepSeek Harness (DSH) plugins from the Web UI: list, enable/disable, install/remove, environments, and a GitHub-awesome-driven marketplace.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LX2000WASD/dsh-web-plugin-managerdsh-plugins-storeNative DSH browser integration for the DSH Plugin Store
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ZASENJC/dsh-plugins-store#ca9f06960f965b3d035e84517b33b9fa23e03dca&path:packages/dsh-plugins-storesealosDeepSeek Harness bundle that registers the Sealos skill pack on ctx.skills.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:labring/sealos-skills@michengai/dsh-agency-agentsDSH Agency Agents — 为 DeepSeek Harness 提供 321 名可召唤的专业智能体 · 321 summonable domain experts for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MichengAI/dsh-agency-agents@michengai/dsh-skills-managerDSH Skills Manager — 在 DeepSeek Harness 中统一加载并安全管理本机 Agent Skills · Load and safely manage local Agent Skills in DSH
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MichengAI/dsh-skills-manager@oil-oil/dsh-visionNear-native image understanding for text-only DeepSeek Harness models
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:oil-oil/dsh-visiondsh-mcp-panelMCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (append-only profile-patch fragments, approval-gated writes with automatic backups), a tool trial console over the official tool pipeline, connection status, reconnect counts and sanitized tool inventory, plus an optional Streamable HTTP probe.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PerryLink/dsh-mcp-panel@a9i5k4/dsh-auto-memoryProactive associative memory for DSH: zero-prompt recall injected before the model speaks, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers, PLAN whiteboard, water-level sensing. Local-first, model-agnostic, zero deps. 主动联想记忆+Astra 式上下文管理:自动唤回/自动沉淀/技能固化/交接账本与白板跨窗口续命/水位感知。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Aik358/dsh-auto-memory@omdsh-dev/dsh-annotationDSH Web selection-annotation plugin: select assistant text, annotate (optional), and press Enter to send the annotation block with your message — the model replies to each annotation by number, with hoverable chips in the reply.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:omdsh-dev/dsh-annotationdsh-rewind-pluginDSH 插件:真正便捷无感的同窗口内对话回退,从不新建分支;自带轻量工作区备份,可一并还原文件(完整 Claude Code /rewind 语义)。 · DSH plugin: genuinely effortless in-window conversation rewind — never forking a new session; ships a lightweight workspace backup that restores files together with the rewind (full Claude Code /rewind semantics).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:SiriLee/dsh-rewinddsh-evolve-in-gitGit-backed long-term memory and evolution plugin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Kytolly/dsh-evolve-in-gitzat-dsh-engineZat-DSH Engine — the visual plugin marketplace for DeepSeek Harness. Browse, search, install, update and uninstall community plugins from GitHub's dsh-plugin topic, with bilingual intros and a China mirror fallback.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mishibeikejie/zat-dsh-enginedsh-balance-pluginDeepSeek 余额监控与用量统计(DSH 插件):余额监控 · 官方充值入口 · Miyu 风格用量统计 · 三方插件管理
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yxxbc/dsh-balance-plugindsh-workbuddy-connect将 WorkBuddy 桌面 App 包含的模型自动接入 DeepSeek Harness — bring WorkBuddy desktop app models into DeepSeek Harness with zero configuration.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:corrinehu/dsh-workbuddy-connect@deepseek-ai/dsh-acpAutomation-only Agent Client Protocol server for driving DeepSeek Harness agents over JSON-RPC stdio
@deepseek-ai/dsh-api-gatewayTypert Remote Host dispatcher and Client API endpoint
@deepseek-ai/dsh-api-remotesRemote BFF assembly and Host Agent/Session lookup policy
@deepseek-ai/dsh-app-bootShared boot glue for the app bins: .env loading, fail-loud Loader guards, snapshot-aware config resolution, and the Loader boot sequence
@deepseek-ai/dsh-attachmentDurable immutable attachment storage seam for the DeepSeek Harness
@deepseek-ai/dsh-attachment-localPrivate content-addressed DSH_HOME attachment storage
@deepseek-ai/dsh-baseThe shared dsh core as a profile bundle: every profile's first patch layer, inserting the base plugin rows over the empty profile root
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:peiyuwang54/deepseek-harness-cli#18b55121dc8ab48a8025ca585b9f809bcb4770e4&path:packages/bundle/base@deepseek-ai/dsh-client-connectionWire consumer layer: HTTP-up/WebSocket-down client, ConnectionController dual streams with reconnect, and fixture api
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。