Plugins

Two native tools for key-free Chinese/English search via 360, Bing RSS and DuckDuckGo, and static webpage text extraction, without a browser, Python or MCP subprocess.

Compile a video link into timestamped Markdown knowledge cards with back-links to the exact moment. Requires your own Python 3.10+ and yt-dlp (ffmpeg + faster-whisper only for videos without subtitles; Bilibili login cookies for members-only subtitles).

Connect DSH to a local BiliMemory backend for Bilibili search, collection, status and login tasks, A-Memorix shared memory health checks, plus QQ link status, QQ user allowlists and QQ watcher restart. The repository includes a Windows one-click installer that installs or repairs MaiBot A-Memorix when missing, then configures local-bge-small-zh, embedding and shared memory. It also provides install-memory.cmd for memory-only repair. Requires Windows, DSH Desktop 0.2.1-rc.2+, Node.js 22.19+, Python 3.12, Playwright/Edge, FFmpeg, a running BiliMemory API at 127.0.0.1:8765, a local embedding service at 127.0.0.1:11435, a Bilibili login, and MaiBot/NapCat for QQ. Voice, RVC and cover features are excluded.

Reads the local NTQQ (QQ 9.9.x) message database on Windows and Linux and exports group and private chat history to txt, csv, json, md, html or sqlite. Ships sixteen model tools: qqnt_status and qqnt_doctor for environment and blocker checks, qqnt_extract_key, qqnt_index to build or inspect the sidecar index, qqnt_list_groups, qqnt_list_chats, qqnt_search, qqnt_stats for totals and monthly counts, qqnt_export_group, qqnt_export_chat and qqnt_export_batch (a chat can be named the way the user says it, and ambiguity refuses instead of guessing), qqnt_jobs for OCR, speech-to-text, chunking and model downloads, qqnt_media for a chat's downloaded images, qqnt_storage for disk usage and allow-listed cleanup, and qqnt_ask plus qqnt_recall for retrieval with citations. The local web UI on 127.0.0.1:46728 adds an incremental SQLite index, six views (chats, export, statistics, ask, settings, models), a task panel, a single-pane layout on narrow screens, sender redaction, media bundling, per-day splitting, export presets and AES-256 password ZIPs; OCR, speech and embedding components install into the plugin's own virtualenv on demand. Needs python3 with sqlcipher3 (the settings page can create a private virtualenv), and the database key is read from the running, logged-in QQ client.

Connects AutoCAD, ZWCAD, GstarCAD and BricsCAD to DeepSeek Harness over MCP, bundling the CAD server and building a private Python environment on first run. Requires Windows, one of those CAD applications installed, Python 3.10+ on PATH, and CAD running as the same Windows user and at the same privilege level as DSH.

End-to-end PowerPoint assistant preset for DeepSeek Harness with editable deck generation, template-preserving edits, rendering and structural quality checks. Needs Python 3.10+ with requirements.txt installed; rendering also needs LibreOffice and pdftoppm, and OCR of scanned documents needs Tesseract.

Local video color editing with camera-matched DJI Log LUTs, independent highlights and shadows, optional skin and selective color controls, frame previews, and 10-bit HEVC export. The universal tarball listed here ships no runtime: its first-launch "configure environment" button downloads a pinned platform runtime (Python 3.12 + FFmpeg 9, ~100 MB) over HTTPS, or point it at your own Python 3.10+ and FFmpeg/ffprobe 8+; the platform-suffixed release packages bundle that runtime.

Long-term memory backed by a local SQLite store: project-scoped memory auto-injection with junk filtering, rule-based or model-assisted memory extraction from recent turns, write-side dedup and feedback-weighted ranking. The Python bridge runs on $NEXUS_PYTHON or the DSH-bundled interpreter at <DSH home>/dsh-runtimes/dsh-primary-runtime/dependencies/python/ (Python 3.8+).

Turns a YouTube link into study notes: pulls the captions the video already publishes, optionally reads on-screen content with a vision model, then asks for your own notes and merges everything into one document. Requires python3, ffmpeg and yt-dlp on PATH (the skill stops with an install hint when they are missing).

Extract short-video scripts and captions from Douyin, Bilibili, Kuaishou and YouTube, including titles, authors, hashtags and engagement data, through a bundled Python extractor.

Image generation through TokenRhythm: mounts a no-npm-dependency Python stdio MCP server as mcp__tokenrhythm_image__generate_image, producing images with qwen-image-2.0 or wan2.7-image and saving them to a directory you choose. Needs Python 3.8+ on PATH and TOKENRHYTHM_API_KEY.

Text-to-image through a StepFun-compatible endpoint: mounts a no-npm-dependency Python MCP server behind an NDJSON bridge as mcp__simple_image__simple_image and returns the generated image URLs. Needs Python 3.8+ on PATH and STEP_API_KEY.

DOCX to PDF without Microsoft Office, LibreOffice or a network: converts a Word .docx with the dxpdf Rust/Skia engine, repairs the schema-invalid OOXML that WPS Office writes, and restores the blank pages Word inserts at odd/even section breaks. Needs Python 3.8+ on PATH with pip install dxpdf lxml.

ai-code-quality (cq) tools for DeepSeek Harness (dsh): deterministic code-quality pipeline — doctor/scan/triage/baseline/diff/gate/waiver/spec-drift — aggregating ruff, mypy, radon, vulture, pytest-cov, import-linter and DeepSec. Read-only scanning plus a

Lets an AI play Slay the Spire 2: screenshot plus mouse/keyboard tools, a local card lookup, and a readable play log. Requires Windows and Python 3.10 or newer with Pillow.

Format checker for theses and lab reports: verifies body font size, first-line indent, line spacing, Chinese font, header student ID and name, page margins, and figure/table caption numbering against a JSON rules preset, then reports each problem with its paragraph location and the concrete fix. Read-only, zero dependencies (Python standard library only), and it refuses to report a pass when no check actually ran. Requires Python 3.8 or newer on PATH.

Syntax-highlighted code for reports via one highlight_code tool: 68 languages, 15 themes, 11 output formats (inline HTML, Word-ready SVG/PNG, LaTeX), incl. the classic SyntaxHighlighter themes. PNG output needs Python 3 with Pillow; other formats need no external runtime.

Export diagram-design HTML diagrams to SVG/PNG, extract draw.io/Mermaid/Excalidraw structure, validate output, and browse 45 diagram types. Built on cathrynlavery/diagram-design (MIT); needs python3, and PNG export additionally needs Playwright.

Read-only CNKI bibliographic search for DSH: four MCP tools (search, detail, export, status) drive your own Edge/Chrome through a native-messaging bridge, with no PDF downloads, a 3-second minimum interval and a 300-action daily cap. Requires pip install wensu plus wensu setup and loading the browser extension before the four tools appear.

Long-term memory on top of mem0 and a local Chroma store: user profile and recalled facts injected through the system prompt, capture at session end, a nightly pass that dedupes, merges paraphrases and resolves contradictions, a persistent topic graph written as Markdown cards, periodic export to a git repository, and a full-page memory UI with search, bulk merge, snapshots and undo. Needs a manual Python venv setup plus LLM and embedding API keys before use.

Imports wallpapers newly downloaded by the Hao Wallpaper app into the DSH wallpaper engine on startup, incrementally and idempotently. Requires the Hao Wallpaper app, Python 3.8+ and the dsh-plugin-wallpaper-engine plugin (elysia395/dsh-wallpaper-engine) installed first. Supports macOS and Windows.

A /agentinit command that builds, repairs or audits a repository's AGENTS.md inside a subagent: the child reads the method file itself and checks every command and path it writes with the bundled read-only checker, so no instruction body enters the main conversation. The bundled checker is a Python script, so Python 3 must be on PATH.

Review AI-generated Word, PowerPoint, PDF and HTML in the official preview: box problems, edit the text in place, and hand the notes to the agent. PDF and images are annotate-only; editing relies on the Harness bundled LibreOffice kit and Python.

Brain-shaped relationship graph viewer for DeepSeek Harness with a Markdown knowledge-base pipeline that imports documents and builds the graph. The viewer ships demo data and needs no Python; rebuilding the graph from your own notes needs Node.js 20+ and Python 3.8+ and runs from the command line.