Plugins

DSH 插件:图片与文件直达纯文本模型——图片保留原生附件体验,PDF/Office/压缩包/视频/音频显示为附件栏方块,点击发送时自动转为工作区路径,配合 dsh-vision-toolkit 粘贴即看图。A DSH plugin that delivers images AND files to text-only models as workspace paths: images keep the native attachment UI, other files show as square chips in the rail, paths append on send — pairs with dsh-vision-toolkit.

DeepTutor tutoring bridge: deep explanations, self-test questions, learning-path planning, personal knowledge-base search (RAG), and note archiving via deeptutor_run / deeptutor_kb / deeptutor_note tools.

One-click prompt improvement for the DSH composer: press the sparkle button to rewrite the draft into an agent-ready prompt, replaced in place and undoable, with a deterministic fidelity check that keeps every path, identifier, number, URL and backticked token verbatim, plus a length ceiling that blocks inflation.

Renders image, video, and audio paths and URLs from DSH conversations inline, with workspace-confined local reads and an optional ComfyUI proxy.

Drag local files into the DSH Web UI and insert their original filesystem paths without uploading or copying them

UI enhancement suite for DeepSeek Harness: one-click workspace open (copy path, reveal in Finder, open in an auto-discovered editor), DeepSeek-web-style user-message nav rail, session to-do marks, flat-list polish, and a hard-restart button.

A lightweight, general-purpose attachment Dock for DSH: paste, drop, or choose images, PDFs, documents, archives, code, and other files, review and manage them before sending, then pass them to the Agent as local paths. It gives non-image files a consistent attachment entry point.

暴露 run_python/run_node 工具，通过 stdin 执行代码返回 stdout/stderr/exit，含解释器路径配置卡 | Exposes run_python/run_node tools that execute code via stdin and return stdout/stderr/exit, with interpreter-path config card

Render local image paths from assistant replies inline in the message body (9 formats, click-to-zoom lightbox, adjustable size).

File-drag fork: drop documents as removable chips above the composer, send without typing.

Registers the domestic-China trip-planning skill: hour-level daily timelines, 12306 and Trip.com booking deep links, offline KML, and seven HTML themes. Requires Python 3.9+ on PATH (the bundled scripts are standard-library only).

P0–P4 deterministic-first permission gate with permissive tier, learning sedimentation and approval-history UI; hard-deny credentials and protected paths, auto-allow internal read-only tools.

Redirects DSH downloads, artifacts, caches and temp files to user-specified drives (auto-picks the largest non-C drive), injects a path-discipline prompt into every session, and ships a disk_guard tool for status and cleanup — keeps the C: drive from filling up.

Renders Wallpaper Engine scene wallpapers in real time in the browser (three.js player plus a Rust/WASM CPU particle simulation) and plays video and web wallpapers, falling back to the preview image, with no Wallpaper Engine runtime required. Scans the local Steam workshop library (431960) by auto-detection or a manual path, and offers a settings panel for wallpaper selection, library and engine directories, glow, pause and quality.

Enhanced vision toolbox: 14 pixel-level vision tools (describe, ground, detect, crop, pixel-diff, OCR, long-screenshot OCR, vectorize, colors, cutout, screenshot, present, materialize, html-screenshot) driven by one OpenAI-compatible endpoint, with clean \[图片: path] bridge markers, content-safety classification and rate-limit auto-retry.

Drag-and-drop file upload for PDF, Word, Excel and images: dropped files are saved to a local directory and referenced by path, no base64 bloat in the chat.

DSH tools for reproducing and validating the ml-quant-trading protocol v1 CPU benchmark, then drafting an issue-ready report. Requires a local clone of initial-d/ml-quant-trading (set as the workspace or repoPath) plus Python and PyTorch; this plugin does not fetch the repository or install its dependencies.

Inline preview for \[图片: path] image bridge markers: after the marker renders, the image shows in chat automatically, keeping long instructions out of the conversation.

Lets text-only models handle pasted chat images, with a native vision experience, batch image viewing, and a built-in OpenAI-compatible analyze_image tool; vision-capable models are unaffected.

Vets third-party plugins before you trust them: static scan for malicious patterns (exfiltration, credential access, obfuscation, persistence) and over-privileged path use, transitive-dependency coverage, official-package hash baseline for supply-chain tamper detection, and an optional plugin-tool call gate.

Claude Code-style permission rules engine: hard/deny/ask/allow tiers with a hard tier above full access, workspace-scoped rules, wildcard path protection, and a visual staged editor; rules persist in settings.yaml.

Google Antigravity CLI (agy) as a DSH product subagent: delegate tasks to a Gemini coding agent with your Antigravity login (no API key), with conversation follow-ups, background streaming progress, image analysis by path, and a pop-up login window.

Fully-local image understanding & OCR via macOS Vision Framework: `ocr_image` (text, table layout + coordinates) and `view_image` (scene, faces, QR) — paste multiple images into the web input box or pass path/URL/base64; images never leave your Mac.

Game asset production pipeline: generate images, video and audio, turn a video into a coherent sprite animation, derive recoloured variants, adapt assets to an engine schema, install them into the project and verify the code actually references them. Requires ffmpeg for the video-to-sprite path, and an image/video API key (Agnes AI / OpenAI / fal) for generation.