Plugins

Provides six code quality skills for code review, architecture audits, technical debt, test quality, health dashboards, and remediation.

Runs project OMA checks before and after tool execution and when a turn tries to finish. Installs its OMA CLI dependency and initializes unconfigured projects on first use. Requires Node.js 22+; initial setup needs network access and project write access.

A browsable daily catalog of DeepSeek Harness plugins harvested from npm and GitHub: one-click install, enable/disable, update and uninstall, the reason dsh would refuse an install shown before you press it, prepurchase facts (engines.dsh, dependency count, bin names, install scripts), rollback and favorites.

Failure-recovery memory: search and record failure-recovery lessons from real engineering sessions, with BM25 + semantic RAG retrieval and a lessons knowledge base.

🌹 Installs with 27 engineering and productivity skills bundled (mattpocock/skills v1.3.1), no manual skill installation needed. Built with 40 billion tokens. This plugin delivers 10x development efficiency on top of the original skills and helps newcomers get started with the skill suite faster. GitHub issues are fully supported; Markdown is a preview; GitLab is not supported yet. Thank you for using and supporting us.

GitHub-topic-driven plugin & skill marketplace: a Settings page that browses the auto-collected registry (the whole dsh-plugin topic plus the skills index, CI-refreshed every 2 hours) with one-click install, type detection, install-script and host-shadow-dependency safety confirmations, env-key management, and the STANDARD.md recognition spec.

Pre-submit pull-request hygiene checks inside DeepSeek Harness: scans the current diff for TODO leftovers, hardcoded secrets, and non-conventional commit subjects.

Profile-wide DSH governance and routing with a Web Control Center for responsibility and evidence inspection, plus compaction, scoped semantic memory, safety continuity, and verified delivery; compatible with DSH 0.1.5-rc.1.

A Live2D whale-girl companion for the DeepSeek Harness Web UI: the model stays on screen and reacts to what the agent is actually doing (thinking, tool calls, streaming text, errors, turn completion); click her to send the agent a message and watch the reply stream into a speech bubble; right-click for a menu of expressions, dress-up items, desk scenes and one-shot animations, every action mapped from the original model author hotkey sheet so nothing overlaps and everything expires on its own. Non-commercial model assets (CC BY-NC-SA 4.0), MIT code, by Andersen216 (https://github.com/Andersen216).

A plugin management panel: one-click enable/disable for installed plugins plus a GitHub dsh-plugin marketplace with details and one-click installs.

Persistent enhanced web search: multi-engine routing (DeepSeek/Exa/DDG/Bing/Jina + GitHub/Bilibili/YouTube/V2EX/Xiaohongshu/Twitter/Reddit/RSS), SQLite+LRU cache, userscript-style extraction, Playwright rendering.

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

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.

Session-level superagent: watch one GitHub repository and wake this session when an issue or pull request changes; requires a logged-in gh CLI, and the credential never reaches the model.

Bridge plugin for the [Better DeepSeek](https://github.com/EdgeTypE/better-deepseek) Chrome extension: exposes HTTP handshake and session-filtered SSE event streams over the web server, enabling browser-extension UI integrations with DeepSeek Harness.

One-command backup, restore & migration for all DSH user data (~/.dsh) with a visual Settings panel: scheduled auto-backup with tiered retention, sha256 verification, hardened restore with auto-rollback and a result receipt, typed sub-backups (--types), credential redaction into a local vault, private-repo GitHub sync for moving to a new machine, and an out-of-process rescue console (zero-dependency rescue web UI in the backup dir) that works even when the host won't boot. /backup doctor checks and repairs corrupt session logs from a known-good backup and quarantines them before rotation; migrate-check statically predicts which sessions a host upgrade would break (frozen event-list rules, filename/generation mismatch, hardlink support, legacy credentials); the credential sentinel preserves pre-migration copies before the host rewrites them; smart backup snapshots before host upgrades; /backup check-update and /backup update report and install new releases (snapshotting first). Restore handles attachment hard links and arbitrarily large archives (streamed listing). Current npm version 0.13.4; spans DSH 0.1.1-rc.2 through 0.2.0-rc.1, including 0.2.0's install-time peer gate. macOS/Linux/Windows.

Interactive K-line analysis for DeepSeek Harness with multi-market quotes, technical indicators, news, and fundamentals.

GitHub-style usage heatmap dashboard: per-workspace turn counts and token spend (with cache-hit rate), DeepSeek account balance, and workspace aliases.

Ported from the ARS Claude Code plugin (44k+ stars on GitHub): academic research skills for DeepSeek Harness — a deep-research agent team, a paper-writing pipeline, a multi-perspective peer-review panel, and an end-to-end orchestrator, plus sixteen /ars-* commands.

Right-side details panel that turns the Matt Pocock skills collection into a DSH quest board: wayfinder decision maps, per-issue triage / fix / discuss / execute actions, 9-item core-skill probe plus 20-skill radar, environment checks, and one-click handoff across sessions.

Official-grade GitHub CI integration: a composite action.yml, a polling PR review bot with idempotent inline comments and a status-check gate, plus PR/issues tools with every write gated by human approval.

Per-round thinking-level (reasoning_effort) control for DeepSeek Harness: pick Auto and it schedules low/high/max from the recent tool-call history, or fix a wire level (off/on/minimal/low/medium/high/xhigh/max) manually, with custom wire mapping, a model-aware capability guard, and context-window presets (64K–1M); its per-model capability card pairs with a separate plugin, [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installable from dsh-market), so custom OpenAI-compatible gateways (vLLM / LM Studio / self-hosted) can try reasoning — the card writes llm-pi-ai capabilities, the adapter drives the wire (compat.thinkingFormat), and this plugin auto-maintains the takeover list.

Windows tray desktop shell: auto-installs and auto-updates the exe from GitHub Releases, creates desktop shortcuts for both the app and the web UI, and exposes a desktop_launch tool to start it from the conversation.

A study tab with course-map, tutor and blackboard columns that turns markdown files, local folders or GitHub repos into guided courses, with lesson unlocking, mastery tracking, spaced repetition and a tutor-designed course import.