Plugins

deepSeek 余额监控与用量统计（DSH 动态 Cordis 插件）：余额监控 · 官方充值入口 · 用量统计 · 三方插件管理

deepSeek 余额监控与用量统计（DSH 动态 Cordis 插件）：余额监控 · 官方充值入口 · 用量统计 · 三方插件管理

害怕插件装了就崩溃？用这个插件帮你检测插件是否正常/是否含木马！

Bilibili video analysis: metadata, transcript (ASR fallback via Bijian/sherpa-onnx/whisper.cpp), comments, danmaku, and sharp keyframes with optional local vision descriptions.

Neo-brutalism skin with two switchable schemes (Blue Command / Aged Newspaper), hard shadows, sharp corners, and light/dark theme support.

Floating Bilibili video mini-player for DSH — always-on-top window with discover/search/follow-UP channels, auto-playlist, mini & focus modes, persisted watch history and window minimize-to-ball.

Optional read-only bridge plugin that publishes live dsh session and token statistics as one JSON snapshot for the standalone dsh-minato toolkit to read.

C# LSP configuration plugin for DeepSeek Harness using OmniSharp.

Reads animated GIF and WebP as animations: a pasted one keeps playing in the UI while the model gets a labelled sheet of frames sampled across it, and the read_animation tool samples a file on demand.

Whale tray launcher for DeepSeek Harness: a Windows system-tray app and a macOS menu-bar app that start/stop the dsh service, summon the Web UI, restart and top up — running independently of the dsh process, like a Steam launcher for dsh.

Provides the bili_summary tool: Bilibili video metadata, subtitle timeline, and sharp-based frame capture with built-in error handling and graceful degradation.

DSH会话悬浮窗：实时显示运行中会话的当前工作与批准提示（WinUI 3，可拖动缩放、置顶、跟随系统主题）注：主要部分均为ai编写

Updates and plugin management for the DeepSeek Harness desktop app: a sidebar entry beside Settings and a Settings section, driven by the app's native bridge.

精准 Token 洞察，实时追踪，智能优化提示和用量归因 Sharp token insights, real‑time tracking, smart optimization signals & attribution

Project-based learning coach: a subject-agnostic teaching engine plus swappable domain packs (Unity/C# included), shipped both as a DSH skill and as an installable bundle. The skill protocol enforces attempt-first teaching and graded hints; a zero-dependency validator rejects ability claims their evidence does not support and blocks stage acceptance while blockers are open.

精准 Token 洞察，实时追踪，智能优化提示和用量归因 Sharp token insights, real‑time tracking, smart optimization signals & attribution

附件自动降级：DSH 图片准入（单边 ≤2000px / ≤3.5MB / ≤4000万像素）超限图片不再拒绝，用 sharp 自动缩小/重编码后入库，用户上传手机原图不再踩线。