Discover The Best DSH plugins
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Explore agent orchestration, multi-agent collaboration and task execution plugins.
dsh-plugin-workspace-imageDSH web plugin: serve workspace image files over a constrained /dsh-image route so agents can embed images inline in conversation.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:usavv1547-cyber/dsh-plugin-workspace-imagedsh-plugin-workspace-skillDSH Cordis plugin: a skill-create authoring guide plus workspace-level skill isolation for .dsh/skills.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Sparrived/dsh-plugin-workspace-skilldsh-plugin-wps-office-next用中文对话操控 WPS 表格 / 文字 / 演示的 DeepSeek Harness 插件（仅 Windows x64 / COM）。自带 MCP server、常驻 COM 宿主与技能文档，免装 WPS 加载项、免配环境变量。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sueccku/dsh-plugin-wps-office-nextdsh-plugin-xt-memoryCross-session self-learning memory for DeepSeek Harness, ported from XT-AGENT packages/memory. BM25 relevance injection + background extraction (sanitize/dedupe/merge) + lifecycle archive + memory_read/memory_search/memory_write tools.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chucan1/dsh-plugin-xt-memorydsh-plugin-zen-useragent让 provider 配置的 headers（如 User-Agent）真正到达 pi-ai 的 API 请求 —— 修复 OpenCode ZEN 免费模型 429（FreeUsageLimitError）：把请求识别为 opencode 客户端而不是 deepseek-harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jiujiezongheti/zen-useragentdsh-plugins-hubDSH plugin marketplace: sidebar catalog tab + agent tools (mp_search, mp_similar, mp_details, mp_install, mp_trending) over dsh-plugins-mp.com
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:maryasov/dsh-plugins-hubdsh-plugins-mpDSH plugin marketplace: sidebar catalog tab + agent tools (mp_search, mp_similar, mp_details, mp_install, mp_trending) over dsh-plugins-mp.com
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:maryasov/dsh-plugins-mpdsh-plumb-identityPer-agent plumb session identity for DeepSeek Harness: stamps and declares a stable plumb session id for every DSH conversation and subagent sharing one plumb MCP connection.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:plumbkit/dsh-plumb-identitydsh-plus-plusDSH++ — a Windows-first lifecycle & provider manager for DeepSeek Harness (dsh). Minimal, local-first, zero-runtime-deps.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:limlnx523/dsh-plus-plusdsh-pocket把 DeepSeek Harness 装进你的口袋：一个包、一个设置页，手机扫码即同步访问电脑上的 DSH（局域网 + 公网，实时同屏）。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:daetz-coder/DSH-Mobile#7c163c0f5d02afe29739f9bb1ffeace266b6aa73&path:plugins/dsh-pocketdsh-pollingRecurring/scheduled tasks (轮询任务/定时任务) plugin for DeepSeek Harness: cron-driven polling jobs as real sessions, natural-language creation, model tools (polling_create/list/edit/delete/trigger) and a web UI. Install-and-go via `dsh plugin add`.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:cnyac/dsh-pollingdsh-polymarket-knowhowDeepSeek Harness plugin: complete Polymarket API coverage — market data tools, authenticated trading tools, WebSocket stream service, and an embedded Polymarket knowhow skill
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:fashionmascherine-svg/dsh-polymarket-knowhowdsh-ponytailPonytail, lazy senior dev mode, for DeepSeek Harness: bundled skills, an always-on anti-over-engineering ruleset, and a Plugin configuration card.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:maci0/dsh-ponytaildsh-poor-mode穷鬼模式（Poor Mode）：钱包优先的 DSH agent preset，供应商感知的分时省钱。先分析用户意图与任务复杂度，复杂任务让用户选择「立即执行」或「闲时执行」——按当前供应商的实际计费规则判断：DeepSeek 峰谷价闲时半价；固定计价的平台则退化为纯延后队列。支持 ~/.dsh/poor-mode-providers.json 自定义任意平台的分时规则。基于 dsh-liangshen 的 preset 同步架构。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:superkonka/dsh-poor-modedsh-postmortem事故复盘写作：无指责文化、根因分析、时间线、行动项，驱动组织学习。受 wshobson/agents（38k★ MIT）启发。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:satan9394/dsh-postmortemdsh-ppt-makerDSH (DeepSeek Harness) web plugin: adds a “PPT 制作” entry to the composer “+” menu that kicks off a bundled, self-contained PPT orchestration prompt — one menu pick, one short message, no repeated approval prompts.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kitterfast/dsh-ppt-makerdsh-precedentEvidence-backed working memory for DeepSeek Harness: a cited ledger of what already worked in this workspace, built from the session log you already have
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dshplugin-me/dsh-precedentdsh-prellm-routerSelf-evolving deterministic rule objects before DeepSeek Harness model calls
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Riderich/self-evolving-router-dshdsh-prellm-routerSelf-evolving deterministic rule objects before DeepSeek Harness model calls
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sra-research/self-evolving-router-dshdsh-preset-anchored-standardMinimal-anchored agent preset for DeepSeek Harness: first request keeps the real Minimal tool pair, promotion unlocks the full Standard catalog with a one-shot background-jobs notice
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ruby1304/dsh-preset-anchored-standarddsh-preset-big-fat-whale-maid-adaptiveDS女仆长模式 — DSH agent preset bundle (whale-maid, environment-adaptive): full tool catalog, environment report, gitbash-first shell routing, task-mode routing, delivery gate.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:CanaryJing/dsh-big-fat-whale-maid-adaptivedsh-preset-gpt-6-astraDeepSeek Harness agent preset + bundle plugin: the GPT-6 / Codex "Astra" persona on dsh's standard toolset, with a preset-local reference skill and a slim spawned-subagent persona
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Zioove/gpt-6-astra-dsh-presetdsh-preset-hotswapSwitch the agent preset (standard / PTC / cordis) of an already-started conversation from the session header.
dsh-preset-kitPublish agent presets into a DeepSeek Harness home: symlink installs with hot reload, owner tracking, and clean uninstall.
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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.