Plugins

Qwen Image 2.1 workspace for DSH: Apple Silicon MLX or your own NVIDIA server, native reference editing, LoRA, ControlNet, inpainting, shared presets, gallery and live agent progress. Includes verified updates and an agent setup guide.

dsh 浏览器扩展（全端）的桌面端一半：把浏览器扩展连到 dsh，提供 browser_* 工具，并在需要时替你识别页面上的图片。这是它的全部配置项。

Blender 3D production plugin with 30 modeling/reconstruction skills, 13 runtime tools, and 26 deterministic helpers for reference fitting, rendering, validation, animation, and portable export; installable as `dsh-blender`.

Search 65,600+ API docs from 20 Chinese open platforms through five read-only tools and a runtime skill.

Compare multiple skills on the same task and pick the winner.

You.com agent skill provider and MCP setup for DeepSeek Harness (dsh), registered via ctx.skills

Deep-read books and articles in five modes (quick, deep, knowledge map, Feynman, full book) with claim-evidence-data reports, Mermaid/XMind mindmaps, batch comparison, budget preflight, transparent background-job progress, and MD/HTML exports from URLs, files, or pasted text.

AI agent skills for Sealos — deploy any project, provision databases, object storage & more with one command. Works with Claude Code, Gemini CLI, Codex.

Skill-driven harness/loop engineering workflow agent plugin.

Context injection audit: token costs of instruction chains / skill catalogs / tool schemas, duplicate and conflict detection.

Bioinformatics agent preset with 17 BioDSH analysis skills (single-cell, bulk RNA-seq, survival, regression, ANOVA), a 2000+ skill library searched by a skill_library tool, per-message skill selection and a time/step convergence guard.

BioDSH for DeepSeek Harness: a bioinformatics agent preset with BioDSH skills, a 2000+ skill library, automatic skill selection and a convergence guard

Drive the Unity Editor from DSH through the official unity CLI: live-Editor scene commands, in-Editor C# eval and runtime command discovery over a warm unity shell session, plus a raw CLI escape hatch for project creation, tests and builds. Mounts Unity's official skill collection alongside its own Unity workflow and Asset Store skills.

The DSH plugin-development knowledge base as an on-demand agent skill: official constraints, task workflows, API reference and community gotchas, installed with the bundle so the agent can look things up while building a plugin.

Design workbench in the right sidebar. Its tools sit in floating groups at the canvas corners and a bottom dock with text labels, and a home screen offers one prompt box, recent designs and large template cards. When the home screen's style is Auto, the plugin picks a style card that fits the subject and hands its colors and fonts to the model; your own words, a chosen card, a reference image or a default brand design system take precedence. Each design gets its own folder. When a design needs photos, the model can copy from a library of 64 AI-generated placeholder images in 8 themes (about 8 MB, downloaded from npm the first time they are needed; made with OpenAI image generation and screened by a person, not real places, products or people); export and handoff remind you to replace them before launch. When the model builds web pages, app screens, desktop app windows, WeChat mini programs, posters, slides or emails, each HTML file shows up as a screen on a canvas inside a device frame and refreshes when the file changes; screens far from the view show a background thumbnail and load the live page when you move closer; while the model writes a page, the sidebar grows with it and a few cursors draw boxes, fill colors and type where it is writing, with a timer in the status bar; local dev servers are proxied with hot reload intact, and an existing HTML file or folder opens by browsing or by dragging it into the sidebar (desktop app). A design library gathers every design you made in any session, your saved inspiration (reference images, URLs, style cards) and a design market of shared templates, design systems and style cards (16 templates, 3 design systems and 20 style cards to start; search, filters, full-size screens and a live view; an offline copy ships with the plugin): start from one in a click, or share your own design to the market after a personal-data scan and an offline design check; after connecting GitHub once (public repositories only), submitting takes one click, and the web form still works. Mini program screens get the WeChat capsule in the top-right corner, which turns white over a dark top bar, and the design check flags text and buttons hidden under it. App and mini program screens follow platform layout (status and nav bars, a tab bar of 2 to 5 items, safe areas), desktop app screens get macOS traffic lights or Windows caption buttons, and the design check flags content under the Dynamic Island, the home indicator or the window buttons. Click an element or drag a region to put its selector, source file and styles into the composer, or draw on the preview (pen, highlighter, arrow, box, circle, text) and hand the marked-up screenshot to the model; picks, markup and style changes appear in the composer as small chips while the model still gets the full text. It can extract a brand design system from your website or project (colors by role, fonts, type scale, radius, shadows, buttons, inputs and cards) and use it for every new design. The model adds a few tweak sliders to each design (spacing, radius, brand color, layout variants) that update all screens live and write back to the stylesheet in one click. A finished design can be turned into React, Vue, Next.js or plain HTML code, or for mini programs into uni-app or native WeChat code; existing uni-app (including HBuilderX projects without package.json), Taro and native mini program projects are recognized so new pages go straight in, and each built screen is diffed pixel by pixel against the design. Also has a design tokens panel, twenty style presets (each a live sample screen you can open full size), a style panel (font size, colors, radius, padding and more) that writes back to the HTML or hands the change to the model together with the CSS rule and line behind each property, versions saved before and after each turn with drag-to-compare and restore, export to images, PDF and PPTX (links between screens stay clickable), a LAN QR link for viewing on a phone, link arrows and a click-through try-it mode, a multi-size view, in-place text editing, reference-image palettes, and a design check (overflowing, clipped or overlapping text, contrast, tap target size and more). Bundles a ui-design skill and seven tools: preview_page opens a preview; check_design measures every screen at real sizes in a hidden local Chrome or Edge (bars covering content, script errors, missing assets, dead links; CSS file and line for contrast and font-size issues; cropped screenshots of serious problems); look_design hands real screenshots to the model; extract_design_system builds a design system from a site or project; handoff_design writes a handoff pack (screenshots, routes, tokens, shared components); compare_design diffs the built local page against the design and marks what differs. find_photos copies matching placeholder photos from the photo library into the design. Adds a Design mode for new sessions (Standard mode's tools plus the skill, the seven tools and a design persona); each part has its own switch on the Plugins page. When DSH is opened from a phone or another computer, local-file designs are bundled into a sandboxed frame so they still show, and unchanged screens are not sent again. An experimental option, off by default, has the model also write business annotations (rules, states and edge cases the UI does not show), shown as numbered markers on the page and cards in the sidebar and passed on in code handoff.

Complete chinese-traditional-wisdom (玄枢 / XuanShu) skill pack as a DeepSeek Harness Cordis plugin: bazi, ziwei-doushu, liuyao, meihua, qimen, daliuren, taiyi, wuyun-liuqi, constitution and fengshui calculation, with a local deterministic engine and a visualization dashboard.

QA pipeline as 10 agent skills: requirement analysis, test strategy, case writing and review, E2E (Playwright) and API automation, exploratory, regression scope and bug analysis, backed by a shared knowledge base with format rules, risk model and schema validators.

A workbench for engineering and math problems, with nine tools for reading images, solving, plotting and verifying answers, plus four bundled skills. Needs Python with numpy and Pillow. Image reading, figure checking and formula typesetting rely on a vision provider you have configured a key for, so those images are sent to it, and without a key they fail while the other tools still work.

TapTap Maker integration for DeepSeek Harness: bundled MCP tools, Maker workflow and feature skills, plus a packaged CLI path for project initialization and diagnostics.

One settings panel managing MCP, skills, memory, subagents, prompts and sessions; customize scene combos to switch the whole environment; the Agent can also operate this plugin for you.

Ecosystem infrastructure: a thin browser console for managing official repository plugins (zero patches) plus a make-dsh-plugin skill for guided plugin development.

A personal usage profile page in the DSH sidebar, folded from this machine's own session logs through ctx.sessionQuery. Five headline numbers (tokens with a small trend and the change against the previous period, spend, longest task, the active-day streak with your best, today's cache hit rate), a 12-month activity grid in daily / weekly / running-total views, a model-family chart by day, week or month as stacked columns or a share pie (version and tier stay apart, and vendor-specific ids collapse correctly), a token-stats ring chart of where the tokens went (system prompt, tool definitions, user messages, injected context, skills, tool calls, reasoning, answers), tokens and spend per project with the subagent share, and a per-provider split with each route's own hit rate and spend. A range switch in the header (today, this week, this month, all time or custom dates) drives the token and spend numbers, the token stats, the projects and the providers, and the selected range exports as CSV or JSON. Spend is priced at bundled list prices (peak and off-peak hours for DeepSeek direct); each provider can be set to list price, a discount, a monthly plan or not counted, stored only on this machine. The only outbound request is a six-hourly read of this package's own version from npm for the in-panel update button - no telemetry, no credentials, nothing uploaded.

Engineering-discipline guard: requirements grill before the first edit, red/green test-evidence gates, forked adversary review, and a delivery report with a per-dimension verification workflow.

Ecosystem infrastructure: a thin browser console for managing official repository plugins (zero patches) plus a make-dsh-plugin skill for guided plugin development.