Discover The Best DSH plugins
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Explore community plugins for other tasks and check their documentation for specific capabilities.
@lynn123411/dsh-antigravity-authPrivate, single-account, unofficial Antigravity OAuth capability bundle for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tttnny/my-dsh#46eb212fa958c3fccd76ab644ed83d68bda6fd60&path:plugins/dsh-antigravity-auth@lynn123411/dsh-ask-user-grillingForm-presentation variant of the native ask_user_question: same tool and parameter descriptions verbatim, forced multi-select, plus an auto-appended round-end supplement question.
@lynn123411/dsh-oil-sticky-promptDSH 对话吸顶提示：将最近的用户 Prompt 悬浮固定在对话流顶部，点击平滑回滚至对应消息。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tttnny/my-dsh#46eb212fa958c3fccd76ab644ed83d68bda6fd60&path:plugins/dsh-oil-sticky-prompt@lynn123411/dsh-web-auth-url把当前 Web 实例的带 token 访问地址交给模型与 shell：托管 DSH_WEB_AUTH_URL（每次 shell 调用即时解析，跟随重启后的 token 轮换），并贡献一段紧随 web-surface 的提示词说明 cookie jar 用法，secret 不进提示词与 transcript。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tttnny/my-dsh#46eb212fa958c3fccd76ab644ed83d68bda6fd60&path:plugins/dsh-web-auth-url@nakamuraia/dsh-plugin-speechRead assistant replies aloud in DeepSeek Harness: text-to-speech providers with streaming playback.
@whatsmore-nf/dsh-plugin-pdf-editStyle-locked PDF editor plugin for DeepSeek Harness — AI edits text, native renderer preserves layout
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Whatsmore-nf/dsh-pdf-editdsh-adb-ultimateADB Ultimate - 全功能ADB设备管理插件 for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:newborne/dsh-adb-ultimatedsh-character-profilerDSH 写作插件：角色性格侧写档案 + 出场权重/占比统计 + 行为偏离度检测。为长篇小说提供人物一致性的量化监控。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MlittleFriend/dsh-character-profilerdsh-chat-outline对话栏左侧常驻大纲：快速定位每次 user 提问与最后一条 assistant 回复（DeepSeek Harness 插件）。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:liliuCourier/dsh-chat-outlinedsh-client-liang-intensity-skin滑动变祖：an opt-in adaptive reasoning slider skin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kingOfSoySauce/dsh-liang-skindsh-connect一个插件接入全部渠道模型：WorkBuddy（含企业版，多账号注册表）/ Trae / Qoder CN。支持渠道添加、改名、删除、凭据管理、统一状态面板与一键签到。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yembors64632/dsh-connectdsh-context7Context7 up-to-date library documentation for DSH: context7_search / context7_get_docs model tools backed by the Context7 Public API v2 (context7.com).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Nrxous/dsh-context7dsh-craft-your-textbook造书工作台：把教材 PDF 加工成「AI 教学蓝本」的 6 阶段流水线（dsh 插件包）。主 AI 亲手跑流水线，用户只做四件事：上传材料、确认探查结果、在关卡拍板、抽查提意见。全程中文，无需技术知识。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xx-hub/dsh-craft-your-textbookdsh-custom-provider-reasoningdsh host 插件：让自定义提供方（pi-ai hand-declared routes）的所有模型都能在模型选择器中选取思考强度（reasoning effort，默认含 low/medium/high/xhigh/max），自动回填缺失的 maxTokens/contextWindow，管理路由级默认推理等级（默认 max），并按协议类型（openai-completions / openai-responses / anthropic-messages）管理路由 compat（自动补 supportsDeveloperRole: false、默认不写 thinkingFormat、剥离失效开关）。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:534119219/dsh-custom-provider-reasoningdsh-duetduet（二重奏）：只用语音就能操作 DSH，边听边说、随时插话的全双工语音助手。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:YuMS/dsh-duetdsh-enter-customizerDSH web plugin: customize the chat composer input shortcuts (Enter / Ctrl+Enter / Shift+Enter / Alt+Enter / send button) with send / queue-while-busy / newline / no-op behaviors, backed by durable user settings.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Boliban/dsh-enter-customizerdsh-ffmpegDSH 视频处理工具插件：ffmpeg_probe/cut/concat/encode/subtitle/extract/gif/frames/adjust/health 十工具（探测摘要、批量抽帧、GIF、变速/音量/静音/旋转调整），进程走官方 subprocess 服务，超时树级终止、环境变量路径回退与多视频流探测，零运行时依赖（ffmpeg 本体除外）。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:STARDUSTLC666/dsh-ffmpegdsh-figma-to-lottieFigma/SVG to Lottie animation compiler for DeepSeek Harness. Turn SVG paths and keyframe data into self-contained .lottie.json files.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zimai233/dsh-figma-to-lottiedsh-forgeA reproducible, runtime-aware DeepSeek Harness plugin development profile
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhn1100/dsh-forgedsh-gateway-providerGeneric LLM gateway model provider plugin for DeepSeek Harness: mounts newapi / LiteLLM / Higress / any OpenAI-compatible gateway as provider routes, auto-discovers the model list, enriches every model with models.dev parameters, and dispatches each model over its native wire protocol (OpenAI / Anthropic / Gemini) via the pi-ai SDK
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Luck9Star/dsh-gateway-providerdsh-liangxiang用 DeepSeek Harness 凝聚香火，投下一炷夯或拉；众香汇成梁位，共同显出今日梁相。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:liang-today/dsh-liangxiangdsh-llm-opencode-goOpenCode Go models, mixed Completions/Responses/Messages chat, and subscription usage for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NOirBRight/dsh-llm-opencode-godsh-model-failoverTwo-level model circuit breaker with failover for DeepSeek Harness: trip a model or a whole provider after repeated request failures and route the next request to a configured fallback
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Letter2025/dsh-model-failoverdsh-model-meta-autofillDSH plugin: auto-fill metadata (context length, output cap, display name, input modalities) for custom-provider models from the Model Metadata Registry (models.dev).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:QJAG1024/dsh-model-meta-autofillUse a feature keyword or category, then sort by recent updates or GitHub stars.
Read the description, AI analysis and original README to understand what a plugin does.
Review compatibility, dependency ranges and instructions, then copy the available install command.
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Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.