Plugins

File upload with color-coded attachment cards (session-isolated storage, sha256 dedup, TTL sweep) plus a content-sniffing read_document tool for PDF/DOCX/XLSX/TXT.

AI image and video studio as a floating DSH panel, so creation runs alongside the conversation instead of replacing it: text-to-image, image-to-image and multi-image composition at 1K-4K across eight aspect ratios; text-to-video and image-to-video with first-frame control at 4-12 seconds; short-drama mode that imports a script (.txt/.md/.json), breaks it into storyboard shots for preview and batch generation; and a prompt-expert workspace. Zero runtime dependencies.

Music, audiobook, radio and news player for DeepSeek Harness: streams your local music folder over HTTP, reads local .txt/.epub novels aloud with AI voices, plays online QQ/Kugou/Netease music and internet radio (HLS supported), and broadcasts daily news digests — all driven from the UI or by telling the agent through the music_play model tool.

Smart Charts skill: turns CSV/TSV/TXT/XLSX/XLS/JSON data files into standalone interactive ECharts HTML - 32 chart types including offline maps, 3 themes, no CDN. A --profile data profile (per-column dtype, cardinality, missingness, samples, statistics, entity grain, insight signals) lets the agent read the data and pick the chart itself; each chart embeds a fact sheet (plot_stats + data_preview) whose numbers are the only quotable values. LLM transform code runs in a restricted sandbox (blacklist + AST whitelist + safe builtins); --doctor self-checks the Python environment. Fully offline, ECharts bundled.

General-purpose knowledge base for DSH: import md/txt/json/yml/docx/pdf, folder management, FTS5 full-text search (BM25), and a Web management UI.

Read EPUB, PDF, TXT, Markdown, and HTML with reading notes, a vocabulary list, and native Harness AI companion reading.

Deep-reading workflow for books: import EPUB/Markdown/TXT/PDF into chapters, read one chapter per subagent so the source text never enters the main session, keep \[n]-anchored chapter memories for cross-session continuation, and export notes or an EPUB.

Reference verification for DeepSeek Harness (参考文献真实性检查器): the reference_checker model tool checks a paper's bibliography (.pdf/.bib/.tex/.txt or pasted text) against Crossref, OpenAlex and arXiv, reports found / partial / not_found / error per entry, and emits corrected citations in the input's style (APA, GB/T 7714, IEEE, Vancouver, MLA, Chicago, Harvard, ACS, BibTeX).

Math Agent Framework for DeepSeek Harness: symbolic derivation engine (CES / quadratic forms / ODE / PDE), SymPy verification, Lean 4 compiler-verified formal proofs, and QED-style multi-agent adversarial verification, exposed as native DSH tools through a TS shell bridging a Python engine. Requires cloning the math-agent-framework repo and `pip install -r requirements.txt`, with MATH_AGENT_HOME pointing at the repo root. Every result carries provenance (engine versions, seed, tolerances) and is marked untrusted data.

Connects DeepSeek Harness to a local SolidWorks install through an MCP server, with a read-only default mode and per-call confirmation for high-risk operations. Windows 10/11 x64 only; needs Python 3.10+ x64 with the packages in requirements.txt (npm run setup builds a local .venv) and a local SolidWorks desktop (README: 2020-2026, verified on 2026) started at least once.

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.

Turns one journal paper PDF into three deliverables by default — a Chinese group-meeting literature report deck (.pptx) in the Nanyang Normal University physics template, a matching Word speaker script, and a two-colour defence-prediction Q&A HTML (ten-odd questions with short direct answers). Requires Python 3 with python-pptx, python-docx, Pillow and pymupdf (pypdf fallback); install them with pip install -r requirements.txt.

A DeepSeek Harness document-redaction workbench adapted from whatcccup/cece_legal_skills (MIT). Processes DOCX, PDF, TXT and Markdown locally, with human review, PDF masking and OCR-line review, case-consistent placeholders, Word restoration, history and optional Agent rule previews and rollback. Requires Python 3.9+ and first-run dependency downloads; model access is needed only for rule generation. Version 1.4.0 is a prerelease verified on macOS Web and DSH desktop; new Windows setup and OCR paths await on-device revalidation. The upstream is a standalone offline tool/SkillHub skill, not a DSH plugin, so it cannot be installed alongside this bundle.

Windows file search + document full-text search: names via Everything (es.exe), text inside PDF/DOCX/XLSX/PPTX/EPUB via Anytxt; both installed separately.

A DeepSeek Harness (DSH) plugin that lets you control Universal Robots (UR) collaborative arms directly from natural language — by default an offline, kinematics-level simulated arm, with a real-robot channel that stays off until it is explicitly enabled. Needs a Python install with numpy and paramiko (pip install -r requirements.txt). Developed by Suzhou Nonead Robot Technology Co., Ltd. based on the same logic as the company's own nUR MCP Server. (Suzhou Nonead Robot Technology Co., Ltd.)

Web reading tools for text-only agents. Five read-only tools: web_fetch (any URL rendered as clean Markdown or plain text), web_links (inventory of a page's links), web_feed (RSS 2.0 / Atom entries), web_headers (HTTP status, response headers and redirect chain without downloading the body, HEAD with automatic GET fallback), and web_table (HTML tables extracted as structured rows with header detection and colspan/rowspan grid expansion). Transport is Node fetch plus a zero-dependency HTTP proxy implementation (CONNECT tunnelling, absolute-URI requests, NO_PROXY with suffix/wildcard/IPv4-CIDR matching, Proxy-Authorization). Zero runtime dependencies.

Read web novels inside the DSH web GUI: import legado book sources, search across them, keep a bookshelf with reading progress, read in one continuous scroll, import local TXT and EPUB books, and let agent tools reach the same sources, shelf and text.

**DeepSeek Chat (chat.deepseek.com) same-style attachments**: paperclip upload button, 240×64 DS-style file cards with official colored doc icons (PDF/DOCX/XLSX/PPT/IMG extracted from the DS frontend bundle), drag-and-drop, text extraction (PDF/DOCX/XLSX/TXT) injected into the message, and real attachment cards rendered in the transcript (custom user renderer) with the model reading full content.

Turns one journal paper PDF into a Chinese group-meeting literature report deck (.pptx) in the Nanyang Normal University physics template, plus a matching Word speaker script. Requires Python 3 with python-pptx, python-docx, Pillow and pymupdf (pypdf fallback); install them with pip install -r requirements.txt.

A DeepSeek Harness bundle adapted from whatcccup/cece_legal_skills (MIT) for local DOCX, PDF, TXT and Markdown redaction with human review, PDF masking, local history and optional Agent rule edits. Requires Python 3.9+ and first-run dependency downloads. Model access is needed only for rule generation; 1.3.0 is a development prerelease and Windows acceptance is pending. The upstream is a standalone offline tool/SkillHub skill, not a DSH plugin, so it cannot be installed alongside this bundle.

Reads EPUB, MOBI, AZW3, TXT and PDF books in a side panel with pagination, table-of-contents jumping, highlights, notes, bookmarks, full-text search, anchored AI questions, per-chapter distillation, Legado-compatible book-source search that adds online books chapter by chapter, and a bundled reading-coach skill. PDF support is text-based only; scanned or encrypted PDFs are rejected.

Read local EPUB, TXT and Markdown novels below selected native DSH chat regions on explicit expansion, preserving real reasoning and tool output without sending novel text to the model. Requires DSH >=0.2.1-rc.2 <0.3.0-0.

Local TXT novel reader in the DSH right sidebar: bookshelf with file, directory and path import, chapter table of contents with jump, click-to-turn or vertical-scroll paging, reading progress restored across restarts, and font, line-spacing, background and night themes.

Local TXT reader in a right-sidebar tab plus a spoiler-safe AI reading companion: the model only sees what you have already read — the current chapter, the tail of the previous chapter, and a per-book background file it grows as you go. Excerpts, thoughts and the companion replies become structured Markdown notes exportable to Obsidian; raw text unlocks only for a book you mark as finished.