dsh-plugin-message-nav左侧消息导航轨道:每条用户消息一个刻度,点击跳转,悬停预览,当前消息高亮
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Explore community plugins for other tasks and check their documentation for specific capabilities.
dsh-plugin-message-nav左侧消息导航轨道:每条用户消息一个刻度,点击跳转,悬停预览,当前消息高亮
dsh-plugin-mgrDSH plugin that manages installed plugins in Settings → Plugins: list, enable/disable via patch layer, uninstall.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:oxlyn/dsh-plugin-mgrdsh-plugin-mindmapMindMap: a DeepSeek Harness plugin that distills a conversation into persistent storylines (DEV_LOG) and renders them as an interactive map tab.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ImCabbage/dsh-plugin-mindmapdsh-plugin-minimal-webDeepSeek Harness(DSH)的独立最小Web插件,自定义Web体系
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:JackFGreen/dsh-plugin-minimal-webdsh-plugin-mirobodyDeepSeek Harness plugin for Mirobody: offline LOINC/UCUM terminology plus read-only health, medication, and genotype tools.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zwbao/dsh-plugin-mirobodydsh-plugin-model-capabilities在 DSH 设置→模型的官方模型行里补上思考强度(llm-pi-ai)与多模态(llm-pi-ai / llm-deepseek),并提供 1M/128K 容量快捷填入
dsh-plugin-model-capabilitiesBackground auto-fill of llm-pi-ai model capability fields (context window, output cap, modalities, reasoning efforts, compat) from overrides → pi-ai catalogs → models.dev
dsh-plugin-model-filterSearchable model picker for the DSH chat composer — adds a search/filter box to the model selection menu.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:EiffelBS/dsh-plugin-model-filterdsh-plugin-obsidian-syncObsidian vault tools for DeepSeek Harness: write and read markdown notes with path-traversal protection
dsh-plugin-onekey真正一键安装/卸载 DeepSeek Harness 插件:拦截插件中心“复制安装命令”直接安装、/卸载 斜杠命令卸载、自动重启后端。全程代码实现,不调用 LLM。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lishLRF/dsh-plugin-onekeydsh-plugin-ops-bundleEmbedded dsh bundle for dsh-plugin-ops: a settings-page health panel (scan, plugin rows, diagnosis chat) over the shared engine
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:f-infinite-z/dsh-plugin-ops#558cf3de7a684fb914ea52c0b7323a9d54e31b22&path:packages/bundledsh-plugin-origin-splitSplit the DeepSeek Harness Web Plugins settings list into native (built-in) and custom (user-installed) tabs
dsh-plugin-otel-genaiOpenTelemetry GenAI metrics for DeepSeek Harness: token usage and operation duration per provider and model, exported over OTLP for Grafana, Prometheus and any OTel collector
dsh-plugin-pace-hub节奏台 — a floating overlay hub for the pace-popups series. A draggable, position-persisted bar mounted on the app-global shell.overlay slot; v1a manages which pace popups (grasp / crosslens / jiyibi) are shown via a shared localStorage flag the popups honor live. Later versions host richer panels (记一笔 ledger browsing + read-only re-read). Zero-build hand-written client; no backend state in v1a.
dsh-plugin-palette-board2D Palette Board & Application Drawer for DeepSeek Harness (dsh): a Raycast/Launchpad-style floating application grid, with the paletteHub service open to all client plugins
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhm20001/dsh-plugin-palette-boarddsh-plugin-perfOut-of-tree dsh web-performance plugin: compression and immutable caching for shell assets and client bundles, plus preload hints — additive, disposable, no dsh source changes required.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:royenheart/dsh-plugin-perfdsh-plugin-pkgseekPkgSeek Linux package, command and CVE intelligence as native DeepSeek Harness tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:web-casa/dsh-plugin-pkgseekdsh-plugin-pokerTexas Hold'em table for DeepSeek Harness: model-callable poker tools, six heuristic opponents, an optional coach, and a browser table whose buttons never post a chat message.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Eapp1e/dsh-pokerdsh-plugin-practicePractice bundle for learning DeepSeek Harness plugin development
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ri0n72Y/dsh-plugin-practicedsh-plugin-prompt-editIn-place prompt editing, branching and history rewrite for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:perdakovich/dsh-plugin-prompt-editdsh-plugin-publishPublish a DSH plugin to GitHub in one command: validates the manifest and bundle identifiers, creates the repo, uploads the tree, sets the required topic, and writes the plugin-market catalog entry.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Gty2408/dsh-plugin-publishdsh-plugin-query-enhanceDSH Host plugin: ask for the current profile's bundles or plugin entries by name, state, or module, and keep plugin_manager list_bundles from returning every bundle's full declared-row list.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:deadbushxw/dsh-plugin-query-enhancedsh-plugin-reasoning-effortsGrant official-style reasoning-effort selection to hand-declared pi-ai models (DeepSeek relays and the like) in the chat box
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chuling-lingling/dsh-plugin-reasoning-effortsdsh-plugin-recommendPlugin recommender for DeepSeek Harness: search and rank DSH plugins from an embedded marketplace catalog by need description, category and tags, with scored match breakdowns, repo deduplication, per-category diversity, nearest-alternative suggestions, and a live catalog refresh from the awesome-dsh-plugin README
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:863683348/dsh-plugin-recommendUse 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.
DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.
No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.