dsh-tool-antigravityHigh-performance, streamlined Antigravity OAuth LLM routing and Nano Banana 2 image generation capability bundle for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Jaylor-Wang/dsh-tool-antigravityDiscover The Best DSH plugins
DeepSeek Harness plugins — Page 390
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Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.
dsh-tool-approvalManual approval for Deepseek Harness (aka "Manual Mode"/"Ask Mode")
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ilharp/dsh-tool-approvaldsh-tool-ast-grepAST-based structural code search and syntax outline tool for DeepSeek Harness powered by ast-grep
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Jaylor-Wang/dsh-tool-ast-grepdsh-tool-bandit-searchA search tool for DeepSeek Harness that learns to pick between quick and thorough search strategies using a contextual bandit (Thompson sampling).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:siruignaw-sys/dsh-tool-bandit-searchdsh-tool-budgetHard-stop DeepSeek Harness tool use after a per-session call budget.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:173787247/dsh-tool-budgetdsh-tool-call-guardNeutralize tool calls with invalid JSON arguments on the wire, so one malformed model generation cannot brick a session against strict OpenAI-compatible servers (vLLM et al).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:alchemistwu/dsh-tool-call-guarddsh-tool-cassetteDeepSeek Harness 叶子工具正文边界的确定性录制、完整性校验与离线回放插件
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Lem0nTea2002/dsh-tool-cassettedsh-tool-cordis-localDeepSeek Harness 的独立创造模式工具集：把运行时检查与动态插件生命周期做成宿主层普通插件，绕开官方 @deepseek-ai/dsh-tool-cordis 的进程级注册表占位，使创造模式预设可以被复制
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:leolee9086/dsh-tool-cordis-localdsh-tool-ddgsDuckDuckGo web search and fetch tools for DeepSeek Harness. Zero Python dependency — search is pure Node, fetch uses @mozilla/readability with optional trafilatura fallback for better extraction.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:BharathBillawa/dsh-tool-ddgsdsh-tool-diagnoseA DeepSeek Harness bundle plugin exposing a diagnose tool over an extensible ctx.diagnostics check registry.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xu-kai-quan/dsh-tool-diagnosedsh-tool-emojiReplace DSH web tool icons with emoji: think 🤔, read/search 🧐, pwsh 👨💻, edit ☝️🤓, error 😫
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LWLAymh/dsh-tool-emojidsh-tool-everythingModel-facing Windows search tool backed by the Everything index (Everything64.dll FFI via koffi)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:roxyyn0304/dsh-tool-everythingdsh-tool-explorerManagement console for DeepSeek Harness: browse, install, update, edit and toggle skills; add, edit, test and monitor MCP servers. · DSH 技能与 MCP 管理控制台。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:6pofx/dsh-tool-explorerdsh-tool-git
★ 1dsh-tool-gitGit first-class tools (status/diff/log/add/commit) for DeepSeek Harness agents
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Huasfan/dsh-tool-gitdsh-tool-headroomSmart output compression, log denoising, syntax-preserving JSON compaction, and CCR (Content-Cache-Retrieval) cache plugin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Jaylor-Wang/dsh-tool-headroomdsh-tool-image-recognizeimage_recognize tool for DSH: recognize image content via a configurable vision model (OpenAI-compatible API), with auto/ocr/describe modes, magic-byte content validation, and sandbox-compliant file reads through ctx.fs.
dsh-tool-imagegenImage generation for DeepSeek Harness via OpenRouter's unified Image API: text-to-image and image-to-image with capability-gated parameters, workspace file output, an inline chat card and a settings card
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Pappet/dsh-tool-imagegendsh-tool-indentDSH Web GUI 插件：给所有 Tool 调用加缩进，并在 设置→工具调用外观 里调 Tool/思考摘要的缩进、灰度与行间距
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Asheep233/dsh-tool-indentdsh-tool-jizura调用 JIZURA 在线应用，将歌词文本自动生成为文字 PV（MP4 视频或 PNG 序列）的 DSH 工具插件。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Flooding-Rain/dsh-tool-jizuradsh-tool-lipsyncFreeLipSync 对口型口播视频面板 —— 在 DSH 界面内嵌的上传/文本/音频/选模型/免费生成/最近生成操作面板。免 Key 免登录，不消耗模型 token。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yu-wenchao/dsh-tool-lipsyncdsh-tool-lsp
★ 1dsh-tool-lspLSP action surface for DeepSeek Harness: diagnostics, formatting, rename, code actions and symbols over real language servers. Hot-mountable from dshmarket.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Jaylor-Wang/dsh-tool-lspdsh-tool-memoryDeepSeek Harness 插件：Hermes 式跨会话持久记忆。MEMORY.md/USER.md 纯文本存储 + 冻结快照注入 system prompt + memory_* 工具（add/replace/remove/batch/show/refresh）
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sikwoxy/dsh-tool-memorydsh-tool-monitorEvent-driven monitoring for existing DeepSeek Harness background jobs
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yoke233/dsh-tool-monitordsh-tool-pdf
★ 1dsh-tool-pdfDeepSeek Harness (dsh) plugin — read_pdf tool for PDF text extraction. Read and extract text from PDF files with AI agents / LLM tools, built on PDF.js (unpdf).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Jeffine322/dsh-tool-pdfFind the right plugin, then get started
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Questions about DSH Hub
What is DSH Hub?
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.
Does inclusion mean a plugin is tested and compatible?
No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
How do I install a plugin?
Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.