Discover The Best DSH plugins

Skills · DeepSeek Harness plugins — Page 48

2035results

Discover reusable skills, tool collections and task capabilities with installation and usage instructions.

@blake-r/dsh-skill-from-tools

One skill per tool (no module grouping), short form.

Skills
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:blake-r/dsh-plugins#585c40b34c69d84da20592d9b396bd78b4fafb30&path:packages/dsh-skill-from-tools
@bryan-cmf/dsh-infra-bootstrap

DSH-Plugin: minimal infrastructure entry — infra_status / infra_bootstrap tools that probe the mounted infra stack (memory, observability, search, skills) and report readiness.

Memory and knowledge · Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-infra-bootstrap
@bryan-cmf/dsh-infra-observability

DSH-Plugin: structural observability layer — real tool/skill usage recording (tools/result), skill-catalog audit, and a watchdog with health/error events. No model self-reporting.

Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-infra-observability
@bryan-cmf/dsh-skill-gate

DSH-Plugin: skill trigger/selection gate — when the model triggers a skill, the user picks from described candidates; 10s no-choice falls back to the system default.

Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-skill-gate
@bryan-cmf/dsh-skill-trail

DSH-Plugin: per-reply skill trail — truthful per-turn triggered/used tool & skill badges, folded from the session log (no model self-reporting).

Skills · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-skill-trail
@chang416/deepsee

DeepSee: DeepSeek Harness vision, multi-model routing, and Gemini visual self-checks before delivery

Skills · Agent collaboration · Vision tools · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chang416/deepsee
@chengdb/capability-panel

dsh plugin: browse and manage project-level and global capabilities (skills, MCP servers, …) from the web GUI

Skills · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chengdb/dsh-plugin-capability-panel
@chenjie1129/dsh-remotion-video-plugin

Remotion video creation skill plugin for DeepSeek Harness

Skills · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chenjie1129/remotion-video-plugin
@cromus-ai/dsh-plugin

Cromus DSH plugin — score, validate, and cost-estimate AI skills from DeepSeek Harness.

Skills · Agent collaboration · Financial data · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:cromus-ai/dsh-plugin
@deepseek-ai/dsh-client-ui-plugin-center

Desktop-only searchable Plugin and Skill Bundle catalog

Skills · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Rainpomelo/deepseek-harness-plugin-market
@deepseek-ai/dsh-human-task

Human-in-the-loop capability seam (ctx.humanTasks): pause an agent tool until the human performs a real-world task or returns an observation

Skills · Agent collaboration
@deepseek-ai/dsh-human-task-client

Web human-task feature: consent / AFK / task dialogs in shell.overlay over the ctx.humanTasks Remote face

Skills · Agent collaboration · Integrations
@deepseek-ai/dsh-human-task-tools

Model-facing human_task / human_task_ready_check tools and the human-task skill over the ctx.humanTasks seam

Skills · Agent collaboration

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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.