Companion to the official DSH plugin manager: pre-install quality gate, deep environment diagnostics, plugin marketplace, and skills/presets management.
Skills
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LX2000WASD/dsh-plugin-manager-companion
Native DeepSeek Harness tools for an Obsidian wiki vault: wiki_query, wiki_write, and wiki_lint implement the mechanical core (path routing, delta tracking, index/log bookkeeping, health checks) of the wiki skill suite.
Memory and knowledge · Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Lion-1209/dsh-plugin-wiki-tools
DSH 会话标题自动生成插件:监听会话首条人类消息,用 LLM 生成类似 git commit 的结构化标题(先标明归属工作区,再写简要描述),经核心 session/title 事件写入(重启保留),失败自动回退核心标题机制。DSH web plugin: structured session titles like git commit messages (workspace first, then description), written through the core session/title event.
DSH 思考增强插件:思考与回复强制中文(system-prompt 注入),思考内容默认展开显示,界面硬编码英文中文化。DSH web plugin: force Chinese in agent thinking/replies, expand reasoning blocks by default, localize hard-coded UI labels.
Tuning Engines CLI, MCP server, and Python agent runtime adapters for governed model, agent, skill, and MCP workflows. Fine-tune open-source LLMs, run inference, manage datasets/evaluations, and connect LangGraph or Temporal while Tuning Engines handles policy, audit, usage, and token economics.
Enterprise workbench capabilities for the DeepSeek Harness — AI employees, knowledge bases, skills, MCP servers and plugins, all managed from local state
Browser4 skills bundle for DeepSeek Harness — AI-native browser automation (browser4-cli) for autonomous agents, intelligent extraction, and large-scale web automation. Registers the Browser4 skills (browser4-cli, browser4-experience, browser4-plugin, scent-miner) into the DSH skill registry.
Skills · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:platonai/dsh-browser4
Standalone DeepSeek Harness plugin: continual harness self-evolution. The agent persists and refines reusable prompt notes, memories, skill contracts, and subagent specs through small evidence-backed edits, with automatic refinement gates, rollback, and prompt injection.
Memory and knowledge · Skills · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jasen215/dsh-continual-harness
Engineering workflow layer for DeepSeek Harness (dsh): a disciplined-engineer agent preset with five gated phases — requirements clarification, plan approval, TDD implementation, parallel subagent execution, and verified finishing. Skills adapted from the obra/superpowers workflow methodology.
Skills · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:82c86b8z86-stack/dsh-engineering-workflow
Evidence-driven mathematical modeling and verification skills for DeepSeek Harness
Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yohanchen1/MathModelingAgent
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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.