dsh-acne-mark痘印淡化
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uckkk/dsh-acne-mark最高の DSH プラグインを見つけよう
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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。
dsh-acne-mark痘印淡化
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uckkk/dsh-acne-markdsh-acpAgent Client Protocol (ACP) server plugin for the DeepSeek Harness (dsh) — drive dsh agents from Zed and any ACP client
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dushaobindoudou/dsh-acpdsh-acp-door在正在运行的 DeepSeek Harness 内核上新增一个仅监听本机回环地址的 ACP 接入点,供 VS Code 面板等外部程序连接。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:elk-9527/dsh-vscode#71d8ccc4990518b63940b69aa622e36ea94d9c10&path:packages/dsh-doordsh-acp-enhancedEnhanced ACP server for DeepSeek Harness: block-level streaming, usage/stat telemetry (cache hit rate, token speed, input/output tokens, context length, turns, tool timing), model & reasoning-effort switching, and permission-preset control over the ACP wire (Zed-friendly)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:grunmin/dsh-acp-enhanceddsh-acp-gatewayThird-party, complete DeepSeek Harness agent over the Agent Client Protocol (ACP) — a superset of the official automation-only @deepseek-ai/dsh-acp: streaming, tool calls, sessions, slash commands, agent presets, config options. npx one-command, offline archive, works with Zed / VS Code ACP / Claude Code.
dsh-acp-interactiveInteractive ACP (Agent Client Protocol) v1 plugin for the DeepSeek Harness (dsh): run dsh agents in Zed's Agent Panel as a dsh bundle plugin.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dangpangch/dsh-acpdsh-acp-plusExtended Agent Client Protocol server bundle for DeepSeek Harness (dsh)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:AndPuQing/dsh-acp-plusdsh-acp-replayCommunity ACP bridge for DeepSeek Harness that supports session/load by replaying a persisted session's transcript
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zheng1/dsh-acp-replaydsh-acre2ha英亩转公顷
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uckkk/dsh-acre2hadsh-acrylicWindows 10 (Fluent) acrylic theme for the DSH Web GUI and desktop app: Win10 light/dark --dsw-* token palette, site-wide square corners, and bounded backdrop-filter acrylic on the sidebar, task board and right-hand file panel. Dual-half plugin: a browser half that injects the stylesheet at runtime (required on the desktop app, which serves its window over a custom scheme and never runs webServer.tapIndex) plus a host half for HTTP-served dsh web.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:N3kOk0/dsh-acrylicdsh-action-outboxReview-before-commit transactions for DeepSeek Harness tool side effects
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:JimchengChina/dsh-action-outboxdsh-action-parityEvidence that CLI, MCP and GUI bindings reach the same DeepSeek Harness action core
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dongsheng123132/dsh-action-paritydsh-actionsRun workspace and global actions from the DeepSeek Harness Web UI and agent tools — one definition for both.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:pure-craft/dsh-actionsdsh-activity-bellDSH Web 侧边栏活动铃铛:会话任务结束时显示角标,一键切换到「最近结束」会话列表。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:minivv/dsh-activity-belldsh-activity-lineDeepSeek Harness web plugin: a live activity line under the composer that says what the turn is actually doing (tool running / waiting on you / retrying / model thinking).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NeoWangKing/dsh-activity-linedsh-activity-viewActivity view for the DSH web sidebar: a bell in the sessions header swaps the list for Needs attention, Working and Today.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:vec715/dsh-activity-viewdsh-acupoint穴位保健
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uckkk/dsh-acupointdsh-adapter-qqDeepSeek Harness QQ Bot Adapter - C2C Single Chat, Session Sync, Interactive Action Board & Custom Menu
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jixishi/dsh-adapter-qqdsh-adaptive-effortDSH plugin: auto-select reasoning_effort (low/high/max) per user turn via a MiniMax complexity scorer with heuristic fallback, an effort-router-style token ledger, and a per-reply metadata label (model · effort · tokens · steps, click to jump back). Manual picker in the model popup; scorer triggers ONLY on Auto. GLM-5.3 safe: never picks off/medium, clamps manual off on forced-thinking models.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:imkingjh999/dsh-adaptive-effortdsh-adaptive-max-tokensAdaptive output-token budgeting for DeepSeek Harness: shrink maxTokens as context fills, restore it after compaction, and retry recognized output-budget overflows once.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:3289192-bot/dsh-adaptive-max-tokensdsh-adaptive-model-routerAdaptive model discovery, evaluation, tiering, and subagent routing for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:alaxrpg/dsh-adaptive-model-routerdsh-adaptive-model-routerDeterministic per-turn adaptive model routing for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:icyaaaww/dsh-adaptive-model-routerdsh-adaptive-planAdaptive planning for official DeepSeek Harness Desktop: configurable executor and planner in one conversation
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Yaaaaaaa233/dsh-adaptive-plandsh-adaptive-reasoningConservative per-request reasoning selection for DeepSeek Harness, with no classifier model calls
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ManoloRemiddi/dsh-adaptive-reasoning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。