Plugins

一个可以让ai自动调用VLM(多模态模型)进行视觉分析的dsh插件。A dsh plugin that allows AI to automatically invoke VLMs (multimodal models) for visual analysis.

DeepSeek Harness conversation outline plugin (对话目录)

一个基于DSH-better-sidebar的侧边栏提问tab，实现类codex的侧边提问或claude code的/btw功能

DSH Web 输入历史插件：Ctrl+Up / Ctrl+Down 像终端一样召回与切换已发送消息，零核心改动

DeepSeek Harness 的跨会话引用(cue)插件

Plugin marketplace for DeepSeek Harness — live-syncs the GitHub dsh-plugin topic (1800+ repos) into a searchable, paginated settings tab with one-click install and agent tools (market_search / market_install).

DeepSeek Harness的一些有趣插件

Hosted free vision sidecar for DeepSeek Harness with durable session evidence

A corner HUD for DeepSeek Harness that shows your session's token pressure, per-model cost, and daily/monthly usage at a glance, with an editable budget and balance that tracks spending for you. 右下角常驻的 Token 仪表盘：实时看会话压力、按模型估算花费。预算和余额点一下就能改，每天每月用了多少都有记录。

DeepSeek Harness plugin: 账户余额 + 会话费用（/balance /cost 命令、deepseek_billing 工具、Web UI 双胶囊），官方价格每 12 小时自动同步

通过 Telegram 私聊远程使用和查看 DeepSeek Harness

DSH plugin: edit the system prompt (deployment persona) from the Settings page, with live preview.

Bridges session images to configurable vision providers and returns text-only analysis to eligible DeepSeek Harness model routes.

Adds Windows-native toast notifications and a system tray icon to dsh: alerts when the agent finishes, stops, or errors, with a tray menu to reopen the web page or quit the background process.

Inject rules when needed, without wasting context. DSH port of opencode-stream-rules.

OpenAI Codex provider for DeepSeek Harness with device-code OAuth, Codex CLI import, token refresh, and a web settings panel.

DeepSeek Harness LLM provider for Codex models using managed ChatGPT OAuth

11 shareable workflow skills (handoff, triage, to-spec, to-tickets, wayfinder, teach, wait-what, dsh-mode-routing, ask-matt, overnight-execution, full-throttle) as an installable skill pack.

DeepSeek Harness plugin bundle: graphlint dead-code detection tools for agents (graphlint_query / graphlint_build / graphlint_config + graphlint skill).