Plugins

Use your own OpenAI-compatible vision model in DeepSeek Harness: images are described before the main model sees the request, plus an image_understand tool for reading charts, screenshots, UI and OCR.

PowerPoint deck builder for DeepSeek Harness: pastel palettes, ten slide templates, web images, Python-drawn charts, highlighted code cards, LaTeX formulas typeset without a TeX installation (matrices, integrals, sums with limits) and a Presentations agent mode.

Searches seasonal anime charts and Bangumi and MAL rankings with cross-region comparison.

A personal usage profile page in the DSH sidebar. Five headline numbers (cumulative tokens, today's tokens, longest task, longest and current active-day streaks), a 12-month activity heatmap with daily / weekly / cumulative scopes, a Cache Lens that splits every token into cache hits, uncached input and output as a segmented bar (with a zoom into the uncached split), a stacked bar chart of tokens over time grouped by model family (version plus tier, so vendor-specific ids and unversioned aliases collapse correctly), and a per-provider split for today or all time. A page-level range (all / today / 7 days / 30 days) drives the token figures. Everything is folded from this machine's own session logs through ctx.sessionQuery. The only outbound request is a six-hourly read of this package's own version from the npm registry, used by the in-panel update button — no telemetry, no credentials, nothing uploaded.

Embeds charts, comparison tables, and interactive blocks between answer paragraphs, with locally saved state and revision history.

Renders a dsh-view fence in an assistant reply as cards — text, tables, charts, Mermaid diagrams and sandboxed HTML widgets — with an editable model prompt, a render_view tool and a bundled skill.

DeepSeek Harness (DSH) plugin for team member management: two-level group→member org structure, Chinese display names & aliases, job titles & duties, skill tagging, retire/restore, and per-member model overrides. Ships as host tools + a Web management panel; keeps its own overlay registry so the immutable DSH core is never touched. MIT licensed.

Six-yao (I Ching) divination for DeepSeek Harness — xiantian bagua backdrop, a Zhouyi opening verse, manual line entry or a simulated three-coin toss, najia charting (six relatives, six gods, void branches, hidden spirits, nayin, seasonal strength, transforming lines), an AI interpretation that cites its classical source for every statement, and a one-hexagram-one-question follow-up dialog. Zero npm dependencies; every request goes to the local DSH host, with no third-party network access.

United Nations theme for the DSH Web GUI: UN blue over paper white, the official emblem, a slow rotation of credited UN peacekeeping photographs behind the conversation, Charter and UN-facts ribbons, and a 7,030-language picker (127 languages with a complete skin translation) that leaves every existing control untouched. Browser-side only; installers for Linux, macOS and Windows.

General usage stats for DeepSeek Harness: throughput, tokens, cost, tool calls, and activity — charted in the Web UI. TypeScript superset of dsh-plugin-tokspeed.

Investment research bundle: 10 tools (search, page fetch, source audit, claim verification, numeric rigor, channel health, workflow loader, chart engine, PDF renderer, PDF gate) and 23 skills adapted from ai-berkshire. Runs a six-phase workflow where four parallel agents (Duan Yongping, Buffett, Munger, Li Lu) research a company, cross-examine each other, and ship a chart-rich PDF with cover, tables, captions and page numbers. Requires Python 3.10+; the chart and PDF tools also need python-docx and matplotlib.

Publish size check skill: verifies a deliverable's geometric specs against a target platform before publishing - pixel dimensions, aspect ratio, dpi, file size, format, physical print width and colour mode. Geometry only: it does not review content compliance (QR codes, text-to-image ratio, copyright and prohibited content are out of scope). Pure Python standard library, no third-party packages, and inputs are never modified. Python 3.8+. Covers 10 platforms and 20 slots with per-platform confidence labels - WeChat MP, Xiaohongshu, Bilibili, Zhihu, Weibo, Douyin, WeChat Channels, journal submission, print and client delivery - and resolves a platform by id, Chinese name or alias with fuzzy matching. Two trigger modes: asked directly, or as a parasitic self-check that runs by itself once an image, poster, chart or export workflow has written a file and the user mentioned a publishing target, reporting in one line when everything passes and only expanding when something is wrong. For journal submission and print it judges by physical width (pixels / dpi), which catches files whose dpi metadata passes but whose actual printed size is too small; for multi-image posts it checks whether the whole set is consistent and names the odd one out rather than listing every file.

DocChain knowledge base, document conversion and knowledge-graph toolkit — filename, content and metadata search, locate-by-doc_id/name with content reading, topic listing, bulk document upload, document-to-Markdown conversion, image-similarity search, per-document image descriptions saved to a sidecar markdown (flowcharts and architecture diagrams are turned into PlantUML sketches, other images into text descriptions; the original image is replaced by a clickable link), a deep-research workflow, and a knowledge-graph layer (ontology inspection, read-only Cypher, ontology/entity/relation writes). Every script-backed capability also ships as a native DSH tool executed in-process: doc search, content search, filename search, topic info, metadata search, upload, image search, image describe, doc2markdown, plus kg schema / kg cypher / kg upsert node / kg upsert relation / kg delete node / kg delete relation. All graph operations go through the DocChain API, so no Neo4j password is needed. The configuration page keeps several docchain environments (each with its own address and credential), switches between them in one click, and pre-selects topics per environment. Needs a docchain service URL and API key (except doc2markdown); image descriptions additionally need an OpenAI-compatible multimodal endpoint (defaults to an internal gateway model, configurable).

Frontend aesthetics engine as 17 native tools — a 118-palette evidence library matched by register, cross-register whole-page design directions, four mechanical gates (WCAG contrast, color-blind simulation, AI-slop detection, scorecard) with digest-bound verdicts, plus semantic design tokens, existing-page audit, CVD-checked chart palettes, CJK type scale, render-vs-tokens reconciliation and measured-numbers rationale. Fully local, zero network. Requires Python 3.8+.

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.

Unofficial Golden Spatula fan theme for the DSH Web GUI: an original hextech arena backdrop with a golden spatula crest (a parchment chart in light mode), four accent palettes (gold, cyan, violet, blue), a hex-board lattice, an optional aurora-and-gold-dust ambience, soft or sharp corners, a three-choice augment draft with a local 12-card codex, and a floating hex-core panel that can turn the theme off without uninstalling.

Token usage dashboard and per-session tree statistics: provides time-range filtering, 6 summary metric cards, GitHub-style activity heatmap, model stacked-bar charts with cache hit rate curves, and Top-5 model/provider rankings; enhances the native session status bar to display aggregated token usage across main agents and all subagents with detailed breakdowns.

Interactive cards in replies, built from a fixed catalog of 31 components (sliders, inputs, sortable tables, charts, function plots, typeset formulas, tabs, checklists, flowcharts, quiz buttons, an animation player): controls recompute in the browser without another model call, and the model never writes HTML or JavaScript. Includes a calculus engine (integrals, derivatives, limits, sums, roots, Taylor polynomials) and a bundled skill that teaches the model when to use a card.

Offline-replayable charts and interactive explanations in DSH rc.2 Web chat, with optional AMap itineraries, confirmed follow-ups, and HTML export.

Full-page NetEase Cloud Music player for DSH: daily recommendations, playlist browsing by category, charts, new releases, search, playlist/album/artist pages, QR-code login, synced lyrics, queue and downloads, plus four agent tools for search, song URLs, lyrics and playlist tracks.

Daily and weekly task manager: startup popup reminder, a marquee strip above the composer, one-click circle completion, editable task cards, and a Sunday AI weekly summary, plus a sidebar DeepSeek API usage widget with balance card, today/cumulative tokens and cost, per-model breakdown and a 7-day chart. Persists as JSON under $DSH_HOME.

Token usage meter in the DSH sidebar footer that runs both data sources at once rather than picking one: the DeepSeek platform account's usage and cost endpoints, which cover every device on the account but only the official channel, and local session logs, which cover this machine in real time across every provider but carry no cost. The two are merged per day — the official channel takes the larger figure, since one call is recorded by both, and providers the platform cannot see are added on top. History is backfilled month by month from the platform, providers are classified by channel rather than model name, days follow the platform's UTC boundary, and no token has to be pasted because the platform figures reuse the DSH account you are already signed in to. Totals appear as all-time, current-project, today, week, month, last-7 and last-30 in a compact bar, an expand panel and a detail modal with calendar, chart, model, provider, year, month and day tabs.

SSH server dashboard for DSH: per-host status, CPU, memory, disk and network meters, trend charts, an xterm.js terminal, SFTP file transfer, and server_box_hosts / server_box_exec / server_box_upload / server_box_download chat tools; imports ~/.ssh/config and mounts as a sidebar tab or a standalone drawer.

Knowledge-point notebook for DeepSeek Harness: turns a Markdown notes folder into a card canvas — folder = chapter, file = section, body = knowledge points — with masked-answer questions for self-testing, KaTeX formulas, Mermaid flowcharts, a mind map view and in-panel editing.