Discover The Best DSH plugins

DeepSeek Harness plugins — Page 916

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Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.

dsh-plugin-usage-ledger

Persistent model usage ledger and Web Usage dashboard for DeepSeek Harness

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xie-tj/dsh-plugin-usage-ledger
dsh-plugin-usage-pulse

Real-time DeepSeek peak / off-peak pricing, token usage and hourly usage meter for the DSH Web UI.

Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:onfzi/dsh-plugin-usage-pulse
dsh-plugin-usage-stats

Whole-corpus token usage statistics: daily and cumulative tokens, cache hit rate, per-model breakdown, and a year-long activity heatmap.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:fakeNihilist/dsh-plugin-usage-stats
dsh-plugin-usage-stats

Whole-corpus token usage statistics: daily and cumulative tokens, cache hit rate, per-model breakdown, and a year-long activity heatmap.

Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:fakeNihilist/dsh-plugins#ddc72d831496eb8ab20dbb59691a474a543836da&path:packages/usage-stats
dsh-plugin-use-images

Use image-generation HTTP APIs as native image models in DeepSeek Harness

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chuling-lingling/dsh-plugin-use-images
dsh-plugin-user-research

DeepSeek Harness 插件:用户研究合成 Agent 包——把访谈 / 问卷 / 观察笔记合成用户画像、痛点与机会点。

Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:nsdmgt/dsh-plugin-user-research
dsh-plugin-vajraclaw

Local tool-call failsafe and DWGR-8 personal governance proxy gate for DSH: blocks high-risk shell patterns, credential leaks, and enforces declarative param-level boundaries with hash-linked JSONL audit logs and optional Gateway.

Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Top-Celestial-Company-Ltd/dsh-dros-vajraclaw
dsh-plugin-vault-memory

让本地 Obsidian 知识库成为 DeepSeek Harness agent 的长期记忆与工作台(索引 + 检索工具 + 会话记忆注入 + 捕获 + GUI 浮卡)

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhaoxuejie/dsh-plugin-vault-memory
dsh-plugin-verdict-guard

Native DeepSeek Harness plugin: a turn that states a verdict without evidence does not end — it is steered back for proof.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sagetta1/dsh-verdict-guard
dsh-plugin-verification

DSH Verification Gate: a host-plane plugin that runs Change -> Memory -> Regression -> Assertion -> Review before an Agent turn is allowed to close, records confirmed findings in a task error ledger, forces an OpenViking retrieval before any repair, and hands the finalization back to the Agent's existing global rules

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bbaz123/dsh-plugin-verification
dsh-plugin-verify

Verification toolkit for DeepSeek Harness agents: evidence-based claim checking against workspace files with line citations, config validation (JSON/YAML), HTTP URL status checks, npm package checks, GitHub repo submission-readiness checks, and batch verification with bounded concurrency and per-result confidence grading

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:863683348/dsh-plugin-verify
dsh-plugin-veriscope

VeriScope 离线门禁重放 · DSH 插件

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:4444wjt/dsh-plugin-veriscope
dsh-plugin-verispring

Verispring 三角色会话架构 + 本地知识图谱 manon,大幅度优化主会话上下文,大幅节省顶级模型API费用。

Agent collaboration · Financial data · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:brandonzyy/dsh-plugin-verispring
dsh-plugin-version-management

DSH plugin version snapshot & restore: one click to snapshot all installed plugins (JSON + human-readable TXT + offline restore script), upload a snapshot to restore the exact plugin set.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lw-storm/dsh-plugin-version-management
dsh-plugin-versions

Installed-plugin manager for DeepSeek Harness: list published versions of an installed plugin, switch or roll back, and uninstall, from Settings -> Plugins.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:just-liuyi/dsh-plugin-versions
dsh-plugin-vision

Vision capability plugin for DeepSeek Harness — enables pure-text LLMs to analyze images via GLM-4V-Flash

Vision tools
dsh-plugin-vision

Vision assist for DeepSeek Harness: lets the main model see images through an OpenAI-compatible vision API

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MoneShadow/dsh-plugin-vision
dsh-plugin-vision

DeepSeek Harness native plugin: give text-only LLMs (e.g. DeepSeek) vision via free Gemini / GLM vision APIs — describe images, OCR, VQA, screenshots, charts.

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tdf1995/dsh-plugin-vision
dsh-plugin-vision

Auxiliary vision for DeepSeek Harness: analyze images via an OpenAI-compatible vision endpoint (works with any main model)

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Tianbaidi/dsh-plugin-vision
dsh-plugin-vision-bridge

Vision bridge: read_image is transparently served by a configurable vision model (default zai/glm-4.6v) when the session model is text-only; the description returns as text and the session keeps its selected model. Ships a live on/off card in Settings - Plugins

Vision tools · Integrations · Productivity
dsh-plugin-vision-toolkit

Vision toolkit for DeepSeek Harness -- glance, ground, detect, crop CLI tools for text-only agents to understand images

Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:YYTbit/dsh-plugin-vision-toolkit
dsh-plugin-vllm-ascend-profiler

vLLM-Ascend Profiler Analyzer — a DeepSeek Harness plugin that ingests vLLM-Ascend / Ascend NPU profiling artifacts, renders a standalone Host+Device swimlane / cost-share / optimization-advice surface, and exports Markdown or PDF reports.

Financial data
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:nutsDad/dsh-plugin-vllm-ascend-profiler
dsh-plugin-voice

DeepSeek Harness 插件:语音 + 通知出口——agent 通过云端 TTS(火山 seed-tts / 小米 MiMo V2.5,失败自动回退 SAPI)/ 桌面通知 / 提示音主动联系用户。融合 dsh-plugin-notify 的 DSH 原生深度集成与 agent-voice-mcp-minus 的云端 TTS 调优,零 Python 依赖,Windows 原生。

Agent collaboration · Notifications · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:doer1296/dsh-plugin-voice
dsh-plugin-voice

DSH web plugin: read aloud each DeepSeek turn output after spoken-style transcription (code/table/markdown aware), with per-message manual read buttons and an auto-read toggle.

Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:junarch/voice_for_dsh#8977f07d9771e640b82d5b5074a0d1ace10af527&path:packages/dsh-plugin-voice

Find the right plugin, then get started

  1. Search by task

    Use a feature keyword or category, then sort by recent updates or GitHub stars.

  2. Explore capabilities

    Read the description, AI analysis and original README to understand what a plugin does.

  3. Check and install

    Review compatibility, dependency ranges and instructions, then copy the available install command.

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.