Plugins

Browser patrol & website inspection plugin for DeepSeek Harness (DSH). Teach once, replay deterministic runbooks with managed Chromium, screenshots, credentials, checkpoints and selector recovery.

Windows computer-use for DeepSeek Harness. The computer tool uses ChatGPT Windows Computer Use action names, reusable window targets, UI Automation, occlusion-immune window screenshots, background-first verified input, and an isolated Chromium browser route.

Screenshot-review skill for DeepSeek Harness: the agent opens a frontend page, screenshots it, views the screenshot itself, revises the code, then re-screenshots — iterating until the page visually matches the user's requirements. Ships as a dsh.bundle, so it installs with `dsh plugin add`.

Point-and-shoot screenshot capture: a system floating window turns a new screenshot (or copied image) into an Obsidian note with comments and key-point marking, instant Tongyi Qianwen OCR, per-day merging, and an optional evening AI organization pass.

Screenshot-to-input for DeepSeek Harness: composer camera button + global hotkey (Alt+A) + listener bound to the app lifecycle, configurable in settings. 截图自动粘贴到 DSH 输入框：相机按钮 + 全局快捷键 + 生命周期绑定 + 设置页配置。

聊天输入框图片工具(自研):上传图片(≤10MB 防烧 token) + 自定义区域截图(Electron desktopCapturer),注入 DSH 草稿图片轨。零外部依赖。

Screen capture and external vision recognition: take_screenshot, list_windows, analyze_image and view_image tools with a configurable GPT vision channel (gpt-5.5 / gpt-5.6-sol / gpt-5.6-terra), API key via the credentials service, and a settings card; view_image shows the screenshot in the Web UI while the model context keeps text only.

Generic browser automation with six tools (browser_open, browser_click, browser_type, browser_extract, browser_screenshot, browser_eval), @e element references, and dual Playwright-headless / CDP (connect to your own Chrome) backends.

Puente MCP de Paper Design como bundle de DeepSeek Harness: herramientas paper_*, compatibilidad con capturas de pantalla de imágenes, skills de diseño, autenticación OAuth y guía de diseño a la par de Cursor.

Puente CDP a un Chrome/Edge ya en ejecución para DSH: capturas de pantalla, aserciones por píxel, comprobaciones de DOM/CSS y evaluación de JS de la página sobre HTTP + WebSocket, con cero procesos hijos, cero dependencias npm y cero aprobaciones por uso.

Controla Jiey Browser desde DeepSeek Harness por MCP: navega, toma instantáneas, actúa, lee, captura pantalla y gestiona pestañas en un perfil de Chromium real.

Automatización de navegador para DeepSeek Harness: herramientas open/click/type/screenshot/eval impulsadas por Playwright para que el agente pueda manejar páginas web reales.

Plugin de DeepSeek Harness: herramientas de navegación web (markdown / captura de pantalla / pdf) impulsadas por Cloudflare Browser Run, un Chrome headless real con renderizado de JS, sesiones de inicio de sesión y soporte de WebMCP.

DeepSeek Harness plugin: web browsing tools (markdown / screenshot / pdf / crawl) powered by Cloudflare Browser Run — real headless Chrome with JS rendering, login sessions and WebMCP support.

Browser automation connector: drives the local Edge or Chrome over the DevTools Protocol with zero runtime dependencies — launch a headless throwaway-profile browser or attach to one started with --remote-debugging-port, then navigate, read page text and interactive elements, click, type, and screenshot through 11 agent tools.

Windows desktop control connector: through 10 agent tools it captures the screen (including occluded and partially off-screen windows), lists and focuses windows, moves, clicks, drags and scrolls the mouse, and sends key chords or arbitrary Unicode text. Built on koffi FFI: no compiler, no per-call subprocess, and its own GDI screenshot plus PNG encoder.

Native headless and visible Chromium browser automation agent for DeepSeek Harness with DOM tree extraction, screenshot capture, and built-in SSRF protection.

Windows-native computer use for DeepSeek Harness: two tools drive and read any desktop app. One batch call runs find, click, type, key, read, wait and screenshot steps in a single engine pass, so a task whose steps are known up front costs one model round trip; reading returns window text rather than an image, and input and capture prefer UI Automation patterns, Win32 messages and offscreen PrintWindow so the user's focus and pointer stay untouched.

Figma design context for the agent: reads a frame's node tree, auto-layout, paints and typography, resolves the variables it is bound to, and renders a screenshot to compare code against — plus four bundled design-to-code skills. Connect with one button against Figma's own consent page; the plugin ships its own OAuth app, refreshes tokens automatically, and never asks for or displays a token.

Agent screen capture on macOS and Windows: one tool captures the screen and returns the image itself, so the model sees it without a second call. On Windows a whole burst runs in one engine call; on macOS a resident helper drops a region capture to 13ms and a change check to 23ms. A second tool, macOS only, reports whether Screen Recording is granted and opens the settings pane that fixes it.

Computer Use for macOS desktop applications: reads any app's accessibility tree as text with element indices, then clicks, types, pastes, scrolls, drags, selects text and sets values through it, plus screenshots read back as images. Driven by a persistent JavaScript REPL — the agent gets two tools (`js`, `js_reset`) and calls an `sky` API inside them, so state survives between calls and the tool schema stays fixed as capabilities grow. Accessibility trees come back as diffs after the first read; actions address elements by index and indices from a stale read are refused rather than misapplied; typing waits for keyboard focus and reads the field back; paste restores the clipboard. Requires macOS 14.4+, Accessibility permission (Screen Recording only for screenshots) and Node 20+; ships a prebuilt native module, so nothing compiles at install time.

Preview, debug (logs and screenshots), and publish WeChat Mini Games inside the dsh Web GUI, through the official mini game helper service

Windows computer-use plugin for AI agents with reusable window targets, UI Automation, window-bound screenshots, background-first verified input, isolated Chromium automation, MCP, CLI, and installable skills.

Teaching board view: agent-generated self-contained HTML is projected into a sandboxed iframe as a board, annotated by hand (brush, four colours, eraser, undo), extended in place across several tool calls, and screenshotted back into the conversation as a real user message.