Plugins

Local knowledge base and document search for DeepSeek Harness with full-text search, PDF/Word/PowerPoint/Excel/Markdown import, OCR, ACL, and a Web panel.

Read books and papers in DSH: a reading toolbar on the official PDF preview that remembers your page and zoom, plus PDF tools for the model (page map, full-text search, page text and images).

AI Book Shelf: read EPUB, PDF, TXT, Markdown, HTML, FB2 and DOCX; select text for one-click background and explanations, then follow up without leaving the page; full-book search, online book search and custom sources; paper mode with translation, bilingu

Deckline：DSH 的 image deck / PPT 工作台插件——原生 Chat + 整页图片 deck 工作区 + 设计风格库；用对话做 PPT、按页出图、版本可追踪、导出 PDF/PPTX。

Chat-driven image-deck workbench for DSH: intent to storyboard script, per-page prompts and AI image generation with page-level revisions, nine design-style presets, and PDF/PPTX export (one full-page image per slide).

Translates PDFs with BabelDOC through an OpenAI-compatible endpoint while keeping the original layout, and returns both a bilingual and a translated-only PDF. Requires a one-time runtime setup and an OpenAI-compatible API key.

Local knowledge base for DeepSeek Harness: distills workspace and chat-attached PDF, Word, Excel, Markdown, TXT, CSV and HTML documents into Markdown notes, with a VS Code-style viewer, per-workspace access grants and agent tools to search, read and add notes.

Color presets and a custom paper-color picker for the built-in DSH sidebar PDF, converted Office, and spreadsheet previews, with dark-mode brightness control and locally saved preferences; changes only the display, not the files.

Draggable recent-deliverables panel for DSH Web that merges declared deliverables with recently modified workspace files, with filename search, type filters, inline PDF/HTML/image/text previews, and desktop open or reveal actions.

Turns PDF, Word, PowerPoint and Excel files into Markdown or plain text with heading levels preserved where the source allows it, and refuses scanned PDFs that have no text layer instead of writing an empty file, naming the OCR alternative instead. Requires Python 3.10+ and pip install -r requirements.

Kill AI Slop for DSH — score a received document on three weighted axes (expression, execution, decision), audit work-slop with a delivery-obligation ledger, and machine-verify every quote against the source. Reads docx, pptx, xlsx, pdf, txt, md, csv, json and html. Zero runtime dependencies, zero network, fully local.

Convert PDF, Word, PowerPoint, Excel, HTML, CSV, JSON and ZIP files to Markdown for the model, using a bundled JavaScript engine or Microsoft MarkItDown.

Local knowledge base for DeepSeek Harness: six tools to ingest Markdown, plain text and PDF files, search them with BM25 or hybrid BM25 plus optional local embeddings, and answer with cited source passages. Runs offline with no database server. Requires Node.js 18+ and Python 3.9+; PDF ingest needs pymupdf.

Local-first knowledge base for DeepSeek Harness: imports Word/PPT/Excel/PDF (text or scanned), EPUB and MOBI/AZW3, builds Markdown parts with page anchors, OCR quality/confidence and column-aware PDF reading order; adds an LLM-maintained wiki layer (schema.md rules, auto index.md, append-only log.md, typed notes with sources and backlinks), adds source-trust labels (high/medium/low) with trust-aware ranking and low-trust warnings, and supports ranked search, cross-KB query, precise reading/editing, and md/jsonl/zip export. MOBI/AZW3 need Calibre; legacy .doc/.ppt need Word/PowerPoint (Windows) or LibreOffice (Linux); scanned-PDF OCR downloads models on first use.

PDF outline navigation and local reading bookmarks in the existing right-sidebar file preview; supports adding, renaming, deleting and revisiting page positions, with version and integrity guards. Verified on macOS Apple Silicon with dsh Desktop 0.2.1-rc.2 and 0.2.1-rc.3.

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.

Registers one `ocr` tool for text-only models: it runs the offline script bundled in the repo over a single image or PDF and returns the recognized text — Windows native OCR first, then RapidOCR, then Tesseract. Recognition runs locally with no network request and no API key. Needs Python 3.11 on PATH plus `pip install winocr pillow` (winocr is the preferred engine; RapidOCR and Tesseract are fallbacks). Per-line results for images, per-page results for PDFs.

Drive local Origin/OriginPro from chat via 27 MCP tools: import .dat/.csv/.txt and CHI workstation .bin files, plot, style, fit, and deliver PNG/TIF/SVG/PDF plus an editable .opju project, with read-back verification on plots, styles and exports. Requires Windows, Origin/OriginPro 2021+ and Python 3.10+, plus `pip install originpro numpy` into the interpreter dsh launches: without the package every tool answers `missing_originpro`, and without an interpreter on PATH no tools register at all.

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.

Adds a human-editable notes workspace with folders, full-text search, rich text, checklists, resizable tables, attachments, exports, and opt-in agent collaboration.

2D engineering prints (PDF/PNG/JPG) of plate parts to noBS CAD scripts and STEP files: modelling skill, CAD tools over the noBS CAD MCP engine, packed native print probe, and a 2D → 3D panel in the Web UI.

Local media/doc pipeline: ffprobe, extract, thumbnail, PDF, ASR, pandoc, OCR, exif (allowRoots include IM inbox).

PDF electronic signing: generate a handwritten-style signature image, stamp images and typed blocks onto PDF pages, and apply a PKCS#7/CMS digital signature with a PKCS#12 certificate you supply. Stamping first keys an opaque background out to transparency - un-compositing each pixel so the ink keeps its original colour - and trims to the ink, so a seal stamped over a signature does not erase it.