Read-only performance diagnostics for DeepSeek Harness: session load (open/restore) timing, spill-hit counts, compaction count and trigger, context-injection volume (AGENTS.md/skills/tool-schema token share), and LLM cache hit rate — surfaced via the /fast command and the fast_report tool, persisted as reconstructable fast/* session events with async sampling off the model path.
Skills · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PerryLink/dsh-fast
Inspect and manage the live instruction chain and project skills for the current dsh session, with in-place creation and editing — what you see is what the model gets
能力库 (Capability) — one-stop visual management of DSH Skills & MCP: on-demand MCP loading, in-session hot reload, and SKILL/MCP descriptions viewable in the plugin.
Skills · Integrations · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:alone-tree/dsh-skill-mcp-manager
Discovery + management wrappers around the gh CLI for AI coding agents. Ships as a standard agent skill, an Agent Plugins 1.0 plugin (plugin.json + skills/), and a dsh plugin (dsh.bundle.patch registers the skill at runtime).
Skills · Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Fectivnfy112357/github-explore
The Rotifer Protocol plugin for OpenClaw — three Skills plus the Rotifer MCP server. Create your first Agent from a template (hello), route yourself to the right capability (assistant), and rank an Agent's Genes against live Arena data to swap in stronger ones (evolve). Ranking is the automatic part; every replacement waits for your approval and can be rolled back.
Skills · Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:rotifer-protocol/rotifer-playground#adf7bc3478303cabc5cd61f5a2b8364887ac2b90&path:plugins/rotifer
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.
DSH Web plugin that lets text-only models see images: paste images in the chat and send without file paths; the model discovers its own vision tools. Multimodal models pass through natively.
Skills · Vision tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kbpoyo/dsh-image-bridge
DSH bundle plugin: mounts Project Memory skills, bootstraps memory architecture on first use, registers the /project-memory slash command, and prompts for memory compounding after tasks.
Always-on-top DeepSeek Harness desk pet with a native menu and DIY skins. Shows what your agent is doing: working, waiting, finished, failed. Five skins, or make your own from one image. No dependencies.
ADHD behavioral coaching skill for DeepSeek Harness. Guides readers through task execution - breaks tasks into micro-steps, manages overwhelm, provides launch rituals, calibrates time estimates, and recovers from self-blame.
Skills
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zimai233/dsh-adhd-copilot
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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.