Plugins

Converts Office and PDF files in the DSH workspace to Markdown locally — no network, no API quota — before the model reads them. Writes each .md next to its source so only a file path enters the context, and returns byte size, line count, token estimate and a heading outline, for a single file or a whole directory.

Bridge to the local doc2md (markdown_monitor) CLI — one doc2md tool with convert, read, scan and status actions over docx, doc, xls, xlsx, pdf and image files.

Document intake for agents: doc_route sniffs a file's real format by magic bytes and measures a PDF's text layer and page column layout before any conversion, and pdf_markdown converts PDFs to Markdown in column reading order with PyMuPDF. The PDF path needs a Python 3 interpreter with PyMuPDF.

A conversation-view tab for DeepSeek Harness Web showing solar/lunar dates, ganzhi year/month/day, Chinese zodiac, 24 solar terms, festivals, China public holidays including make-up workdays, multi-city weather, an epoch↔date timestamp converter with a time-zone picker, and bundled offline "on this day" history from free sources without an API key.

Local-first file conversion: 26 conversions across images, PDF (with OCR and experimental PDF→DOCX), data, audio/video and office docs; 7 tools, all local, no API keys.

Converts Linux and Windows paths with /mnt/c caveats for WSL.

Running pace calculator: converts distance and time to min/km pace and km/h speed.

Browser-local audio/video toolkit for DSH — extract frames, capture thumbnails, compress images, and convert clips to GIF with FFmpeg.wasm.

Per-file-type multimodal chains: preset processing models per wildcard convert image/video/audio files into prompt tokens before they reach the text-only session model, with per-preset fallback chains and a Multimodal settings page.

Model-facing image_describe (识图) tool over the DashScope OpenAI-compatible API (qwen3.7-flash), plus a paste bridge: on text-only sessions, pasted images auto-convert to file paths at send time and render back in the transcript, so they never trip image admission. Bring your own DASHSCOPE_API_KEY; endpoint/model/budgets configurable, redirect-proof HTTP client, works in every agent preset.

Prepares files before read, read_image and the vision tools open them: downscales images over 2048 px or 8 MB (one retry at 1280 px within the same turn), converts BMP/TIFF to PNG, relabels mislabeled uploads by sniffing their bytes, and turns docx/xlsx/pptx, text-layer PDF, csv/tsv and html into Markdown with no external programs.

QQ Music karaoke + AI cover singing for DeepSeek Harness WeChat/QQ persona bots: search a song, split vocals with Demucs, convert the voice with RVC, mix and send a real voice bubble (WeChat SILK) or a QQ record.

In-app browser for DSH: a dedicated Chromium rooted at a persistent profile so a Feishu or SSO login survives restarts, driven over CDP, exposing seven agent tools (status, open, eval, read, feishu, screenshot, tabs) and mirroring the page live in a right-sidebar panel that tool calls open by themselves. Also converts Feishu documents to Markdown by sweeping their virtual scroll. Requires a locally installed Chrome, Edge, Chromium, or a Playwright Chromium build (it never downloads one); set DSH_IAB_CHROME to point at a specific binary.

Whole-interface zoom from 75% to 200% in 5% steps via a Settings row, a session-header stepper or Ctrl/⌘+wheel, with a shim that converts rects, viewport units, media queries and pointer coordinates so fixed overlays stay anchored to their triggers.

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.

Token usage workbench for token-plan users: folds assistant/message usage from the session log into per-day call-level detail (cross-session responseId dedupe keeps fork/resume copies counted once), converts local volume into plan credits against terms you enter (default 1M tokens = 0.2 credits, caps 600/2500/6000 for day/week/month, optionally scoped to selected channels), and shows a composer-dock readout plus a settings page with per-provider cost table, 7/30d bar and line trends and a rolling six-month heatmap. No credentials are read: the remaining percentage a provider keeps behind its control-plane API is replaced by a clearly labelled local conversion, and reference costs come from the public DeepSeek pricing page.

Converts tables in .docx, .xlsx, .xlsm, .csv and .tsv files into the table JSON consumed by the rule checkers, and reports when it could not rather than guessing.

Manages the MCP servers of a DeepSeek Harness profile: lists each server with its connection state and the tools it registers, preflights a configuration before saving it (a missing executable, an npm package name used as a command, an unexpanded variable that would reach the child literally, a URL with no path), and adds servers by pasting a dsh patch fragment or a Claude Code mcpServers block, converted to the dsh shape.

Windows only (desktop Word + full MathType 7 + Python 3.10+). Convert LaTeX placeholders in a Word .docx into real MathType OLE equations (Equation.DSMT4), preserving equation numbers, SEQ fields and cross-references.

Creates and edits Feishu and Lark cloud content through ten tools - Bitable databases and their records, documents with Markdown converted to native blocks, spreadsheets, wikis, drive files and messages - plus Base V3 dashboard charts and server-side aggregate queries.

Attach files and folders in the composer via clipboard paste, a native file/folder picker, and @-mention path search; folders are converted to paged Markdown for the agent to read page by page. macOS only (clipboard and picker go through osascript).

Brings the providers you already configured in cc-switch into DeepSeek Harness: reads the cc-switch database, converts Claude / Codex / OpenClaw / MCode / Pi entries into llm-pi-ai routes with their API keys, and adds a health check that measures time-to-first-byte and whether each stream completes.

Read, write, convert and retime a subtitle track across SRT, WebVTT and ASS, audit it for over-long or unreadable cues, and transcribe audio through a configured speech recogniser.

Convert Notion blocks and Markdown in both directions, with no API client and no external dependency. A Notion paragraph is an array of rich-text runs while Markdown says one string, so the two directions are a split and a merge rather than a pair of inverses — rich-text runs are cut at every annotation boundary one way and re-merged the other, with fences widened when the content already contains backticks. Reports every lossy step instead of swallowing it.