Plugins

Reads bilibili video as structured text for AI: metadata, comments, danmaku, subtitles, local ASR, frame OCR. Local processing (no cloud upload), decoy-subtitle detection with frame check, instant re-reads via cache, AI-ready manifest + summary. Frame OCR needs ffmpeg; local ASR/OCR need Python 3.10+ venvs (plus the VC++ runtime on Windows); AI subtitles need a Bilibili login.

Computer use through an external USB HID device: name a target in plain language, a vision model locates it in a cropped window screenshot, and a Raspberry Pi Pico 2 moves the real mouse and types on the real keyboard. 7 tools. Windows has window listing, per-window cropping and automatic window raising; macOS needs pyobjc and has neither; Linux is unsupported.

Always-on-top notch for Windows that shows which sessions are working, which need you, and which are done or failed: one bot per session, never takes focus, hides under full-screen apps, with its own settings page.

Autonomous Douyin watching in a dedicated Edge browser on Windows (requires Node.js 22.13+): sampling decisions, frame storyboards, danmaku-aware comments, persona memory and a watch diary, all under daily viewing limits. Fork of LockyBee/dsh-douyin-agent — uninstall the upstream plugin before installing this one.

Git Bash shell tool for Windows: runs commands through the bash bundled with Git for Windows, with timeout, sandbox, output truncation, and background jobs, replacing the slow pwsh tool and the WSL-only bash tool.

DSH knowledge-base plugin and Windows desktop client sharing original-file indexing, classification, retrieval and compatible library services. 插件 2.5.5 / 客户端 1.1.2。

Personal cross-session memory in local SQLite, with automatic conversation learning, companion states, and optional semantic retrieval. Currently intended for single-user local use on Windows.

用中文对话操控 WPS 表格 / 文字 / 演示的 DeepSeek Harness 插件（仅 Windows x64 / COM）。自带 MCP server、常驻 COM 宿主与技能文档，免装 WPS 加载项、免配环境变量。

Windows workspace pre-authorization: adds an explicit full-control DACL ACE (including WRITE_OWNER, required by dsh >=0.1.7 sandbox startup) to user-declared workspace directories, removing the repeated full-access escalation prompt. Grants only on explicit intent — new workspace records or paths added in the plugin settings page; system directories are hard-blocked. Windows only.

A small self-contained power control for DSH: sidebar power button with an upward restart/shutdown menu and a Windows-shutdown-style overlay. Own restart & shutdown engine (no dependency on other plugins), dynamic-port aware.

Notifies you when a conversation finishes: plays a sound and shows a Windows notification when the agent goes idle (configurable sound file, volume, debounce/throttle).

OpenCode Go subscription usage (rolling/weekly/monthly windows with reset countdowns) in the composer dock, with a built-in credential editor.

Tunnels the local DSH web panel to a phone or the internet through frp, with QR pairing, TOTP 2FA, device management and an IP blacklist. Windows 10/11 only (macOS/Linux need your own matching frpc); the default hosted mode needs a free account at remote.ymzcc.com and relays traffic through that server, and Windows Defender may block the bundled frpc.exe until you run the included fix script.

Codex-style dark interface for DSH on Windows, with navigation, project and conversation sidebars, and model and reasoning controls.

Vision-first Mac computer use, for when the accessibility tree is unavailable. Ships 11 desktop_* tools - window list, screenshots, OCR text targeting, numbered elements, coordinate clicks, typing, scrolling, drag - plus a Codex-style cursor overlay with spring animation. Clicks are delivered to the target process, so the real pointer never moves and nothing steals focus. In DSH it shows up as Mac Desktop Control with a settings page that checks the engine and the Screen Recording / Accessibility permissions, with a button that opens the matching System Settings pane. Works out of the box: the tarball bundles the dsh-cu engine and the overlay as prebuilt universal binaries (Apple silicon + Intel, macOS 11+, ad-hoc signed), compiled from the repo's Swift sources by the release workflow - no clone, no Xcode, no install.sh. The only setup is granting DeepSeek Harness Screen Recording and Accessibility once. macOS only; on Windows and Linux the plugin loads without registering the desktop tools.

One-click free-model setup for DSH web, built for coding beginners: one-click installer for Windows (install.bat) and macOS/Linux (install.sh, v1.7.0+); four permanently free channels — Zhipu GLM (text + image), SiliconFlow (Qwen3-8B plus 15+ sub-9B models), iFlytek Spark Lite and the OpenRouter free pool, which routes through openrouter/auto and picks from a pool that changes over time; bottom-left setup hint hides once any free model is connected; real-time DeepSeek peak/off-peak pricing reminder; bundled beginner help center.

Three-tier now/next/later input planning dock for the DeepSeek Harness web GUI: a red/yellow/green priority strip replaces the busy-Enter queue, plain Enter queues to later, with in-place multi-line editing, drag reorder, and session-isolated freeze/resume; the freeze button bridges a separate plugin, [dsh-session-guard](https://github.com/drscrewdriver/dsh-session-guard) (installable from dsh-market), via stopNextTurn/resume RPC + composer lock for a real per-session lock, pairing with its global peak-hour auto-pause to stop sessions during DeepSeek's high-cost windows and resume off-peak.

Registers two MCP servers that drive the installed AutoCAD and SolidWorks desktop apps over COM, plus two on-demand skills. Windows only, Python 3.11+; the pinned upstream servers install themselves on first load, and only the sides whose CAD application is registered get a row. Each server advertises two meta-tools instead of its full catalog (a discovery shim here for SolidWorks, upstream DISCOVERY_MODE=search for AutoCAD), taking the schemas loaded before the first request from 23,404 to 256 tokens and from 83,732 to 365 respectively.

Windowseat bridge for DeepSeek Harness: a local host plugin exposing a loopback HTTP/SSE endpoint so the bundled Microsoft Edge side-panel extension can read the current page, search local files and talk to DSH; the Edge extension lives in the same repo and must be loaded separately. Windows 10/11 with desktop Edge required.

Controls the Chrome you are already logged into: the model clicks, types, fills in forms, reads pages, takes screenshots and downloads files in your real tabs, including inside same-origin iframes. Runs on macOS, Windows and Linux; needs Chrome 116+ and Node 18+. Works over native messaging and chrome.debugger instead of a listening port. Ships 12 browser_* tools and a cb CLI, dispatches real CDP input events, draws an on-page cursor that also appears in screenshots, and adds a toolbar panel with live status, the controlled tabs and a pause switch. browser_download saves a link, an element's target or a URL with the site's login cookies (following redirects, keeping the server's file name) to the Downloads folder or the session's working directory; cross-origin iframes are named in the snapshot but not entered. The native host and the MV3 extension travel inside this tarball: on first load the plugin copies them into place and writes the native-messaging registration itself, so there is no clone, no install.sh and no python3 - the one step left is adding the extension to Chrome: install DSH Bridge from the Chrome Web Store (https://chromewebstore.google.com/detail/bippcbbbipppmhjkjomgdnjbooecbimo, no Developer mode), or load the bundled unpacked copy at chrome://extensions (the plugin opens that page and puts the folder on the clipboard for you). Until then the tools fail loudly with those steps. On Windows the registration goes into the registry (for Chrome and Edge) and the host talks over a named pipe. A daily CI run on GitHub's macOS, Windows and Linux machines installs the plugin, loads the extension into a real Chrome and reads a page through the browser_* tools.

Per-plugin usage budgets and cost caps on the llm/stream waterfall: per-model usage accounting, session and monthly budgets with warn/block transitions, latency windows, and a carbon-footprint estimate.

Zero-dependency screen capture for DSH: Lightweight — zero deps, zero binaries; Stage & shoot — one-click full screen, window layout, hover-snap capture of occluded windows; Agent self-service — path-only delivery; paths are universal, pair with modlens (optional) for one-call structured evidence.

Five tools for reading a video as raw material rather than as something to watch. video_outline maps a whole file as text and draws nothing at all: 4-60 equal windows, each with its cut count, speech share, intensity bar and tags, then the windows worth opening and the exact start/end for the call that follows -- zero image tokens. video_probe returns metadata and a reading plan without decoding frames. video_storyboard turns a window into one contact sheet plus a text index binding every cell to its timecode, cut count and frame time; cells whose text would be illegible at that scale are marked zoom, and dedupe global folds a picture that comes back after a cut. video_zoom re-renders 1-9 cells from a short window at a larger scale. video_read decodes only keyframes, OCRs each screen, and returns an outline plus \[mm:ss] text -- the path for lectures, slide decks and screen recordings, where the words are the content. It also reads a file with sound and no picture as a transcript (subtitle track, then DSH_ASR_CMD, then a transcript file you pass; long audio is cut at 45 s onto silence), composes six changed frames into one sheet when a file has no readable text at all, and can write the result out as SRT, WebVTT or text. Cuts, dissolves and one-frame flashes are found in a single ffmpeg pass; from ten minutes up a file is analysed on its keyframes only, 2.7x faster on a two-hour lecture; and a cell is never shrunk below a fifth of the source, so a 1440p sheet spends the same tokens on fewer, bigger cells. OCR is the engine Windows ships, tesseract with line boxes, or DSH_OCR_CMD. It takes a B station link (bilibili.com/video/BV..., a bare BV id, an av id or a b23.tv short link) wherever it takes a file: up to 300 seconds is read from the CDN in place with nothing written to disk, longer videos are downloaded once and cached within a 4 GB / 24 video budget, play URLs are cached for ten minutes, and a link that is not a single video says what it is. Needs ffmpeg, uses ffprobe when present, and has no other runtime dependencies. It is a wire-compatible reimplementation of SAOS-3624/dsh-video-storyboard: it registers the same video_probe / video_storyboard / video_zoom tool names, so the two cannot be enabled together.

Supervises a local workbuddy2api gateway process and exposes its models as an LLM provider, reading context windows and reasoning efforts from the gateway's own model endpoint.