Plugins

System monitor overlay for DeepSeek Harness: a compact corner pill showing CPU and memory, expandable into a detail card with disk activity and throughput, per-volume capacity, network, uptime and battery. Windows only.

Cross-session memory for DeepSeek Harness: a three-tier store (behavior notes, deep details, session archive) plus a 600-character core card injected every step, work/companion/learning state lines, multi-person and multi-group records with visibility partitions, session-scoped suppression or deletion of memory fragments, summaries and fact candidates that can route to a separate model, and backup plus self-check tools. Data is plain text under the home directory, and entries can carry images and audio stored by content hash.

Meta's Muse Code CLI inside DSH: a composer switch starts muse serve, a right-sidebar panel and five chat tools (muse_open, muse_prompt, muse_read, muse_status, muse_interrupt) share one Muse session, approvals are decided only in the panel, and a local spend guard hard-stops at $10 by default. Windows only; needs the Muse Code CLI installed and signed in. The $10 cap is a local estimate for the muse serve this plugin starts.

DSH plugin: Windows correctness layer — GBK/GB18030/UTF-16/Big5/Shift-JIS encoding detection with confidence and lossy reporting, Windows path legality (reserved device names, 8.3, UNC, MAX_PATH), netstat interpretation and bounded read-only disk inspecti

DSH plugin: 29 deterministic, offline tools for JSON validation with exact line/column, JSONPath queries, YAML/CSV conversion, text diff, regex capture, encodings, hashes, Unicode, CIDR, JWT structure and timestamps. Every call returns a { result, meta }

Registers one `wind_finance` tool for DeepSeek Harness: it routes a financial question to the right Wind data domain, executes it over the Wind meta-router MCP endpoint (or the per-domain CLI in batch mode), and keeps a per-day receipt so the same dataset is not pulled twice against one shared daily quota. Authentication, quota and network failures are reported with their error codes instead of falling back to another data source. Credentials are read from the environment and are never bundled with the plugin.

Union IM bridge for DSH — an independent implementation uniting the capability sets of community peer plugins (xmanrui/dsh-im, MichengAI/dsh-im-connect). Drive your agent session from 15 channel adapters across 12 platforms (including email; WeCom/DingTalk/QQ each contribute two: bot + self-built app or notify tier) — WeChat (official iLink QR bind), Feishu/Lark (long-connection + streaming cards; the voice tier requires system ffmpeg), Telegram, Discord, WeCom intelligent bot & self-built app (signed callback), DingTalk (stream + AI Card and custom-robot notify), QQ official bot (plus notify tier), Slack (Socket Mode), WhatsApp (Baileys QR pairing; the dependency ships as an optionalDependency of the plugin package), Matrix, iMessage (macOS only), Email (IMAP/SMTP thread routing). The cross-version narrow waist auto-adapts settings gen1/gen2/gen3 across hosts 0.1.2-rc.1→0.2.1-rc.2 (12-tag enum; rc.2 verified by a real desktop-profile install with double read-back) using capability probing only, never version branches. In chat: a 25-command panel, tool-approval and question loops answered in the originating chat (deny-by-default, initiator-only, 5-min expiry), image/file input gated on host model metadata, deliverable file return, a delivery log with bounded retry (uncertain is never re-sent), proactive delivery and fragment composition. It also splits the native sidebar into self-owned Tasks / Channels tabs (standing down entirely when another plugin already owns the slot), registers an `im-concise` agent preset plus reply sanitisation that keeps GenUI fences and raw HTML out of text-only chats, renders `svg` fences to PNG images, guards model choice with an allowlist, and mirrors each turn's final answer to notify channels via `/relay` (addressed by account ID or alias, never guessed on ambiguity). Secrets are one-way into the vault and never echoed back. npm: `dsh-im-union`.

Checks installed DSH plugins for version-declaration and API risks against the current host, with source locations when available, certainty, impact basis and coverage limits. Adds a compatibility settings panel, plugin-detail findings/badges, a compat_check agent tool and a skill provider.

Bidirectional GitHub repository sync for DSH: git sync with conflict rollback and pre-push checks, Actions/CI monitoring with per-step run detail, repository add/remove/rename, a web panel with local and remote file browsers, scheduled automation, and six agent tools.

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).

Registers one `office_audit` tool for DeepSeek Harness: it recalculates formulas with the bundled LibreOffice Kit and then audits the recalculated values — formula errors, broken sheet references, formula-consistency, hardcoded constants, number-format and unit mismatches, balance-sheet balance, retained-earnings roll-forward, cash tie-out, cash-flow subtotals, ratio-table conventions and data-cleaning issues. Findings are severity-ranked with the offending cell, and an optional findings sheet can be written into a copy. The source workbook is never modified. Requires Python with openpyxl and the bundled LibreOffice Kit.

Run Python on the local NVIDIA CUDA GPU from DeepSeek Harness: device status, foreground and detached jobs, durable logs, and a measured peak-VRAM figure per run.

Multi-source image search and download (14 engines + 7 aliases covering Baidu, Bing, 360, Duitang, Huaban, Iconify, DuckDuckGo, Yandex, Openverse, Wikimedia, Pixiv, Wallhaven, Konachan and Safebooru) that saves the picked images into the session workspace with a per-file meta.json and renders them inline in the conversation; ships a standalone CLI as well.

Goal Map shows a read-only goal-to-plan progress route, session mindmap and step list using reported plan progress, without starting tasks or model calls. Beta.2 supports DSH Web 0.2.0-rc.2 or 0.2.1-rc.2, with Node.js >=24.

Beta 0.2.0-beta.2 for DSH 0.2.1-rc.2 only, for Host-owner use. Search original user and assistant text in the current session or same-directory workspace, with source coordinates and context. Non-owner session authorization is not supported.

Declares image input on relay routes whose endpoint omits modality metadata, so models that can see photos stop being rejected as text-only. This also overrides routes that are explicitly declared text-only.

Firefly "Spring Missive" theme skin for the DeepSeek Harness web GUI. Overrides 74 --dsw-alias-* design tokens in matched light and dark sets, draws a spring-window backdrop with drifting petals and fireflies, places one character illustration on each side of the layout, and keeps the centre column legible with a radial spotlight scrim. Registers a Settings section with switches for the skin and for the artwork; both choices persist in localStorage.

Live DeepSeek API balance and this session's token usage in the conversation header, with a detail panel for the topped-up / granted balance split, request count, input, output and cache-hit tokens, and context pressure. The API key is read on every query and is never cached, written to disk or returned to the browser.

Provider quota and balance status widget for the DSH web UI, showing remaining quota, usage and rate-limit windows in a dock at the bottom of the composer. Local fork of wenzetan/dsh-quota-panel.

Per-channel credit balances for the Our Free Model gateway in the DSH sidebar: one always-on card covering the channels the gateway supports (unconfigured channels stay hidden), collapsed to the channel the current conversation uses, expanded to one row per channel with a bar and remaining amount, with per-channel visibility toggles on the plugin detail page.

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.

Task details sidebar for DeepSeek Harness: a "View task details" button under every finished turn opens a resizable right-sidebar panel showing that task's input files, intermediate artifacts, output files, tools and skills used, inferred languages, a step-by-step flow timeline, and the model provider with token usage and cache hit rate.

Draggable floating card that follows background jobs: a progress bar and percentage parsed from wget/curl/apt/pip output, elapsed time, ETA when present, and the latest output line.