Plugins

Floating, draggable sensor dashboard for the Harness Web UI on Windows: GPU-Z GPU temperature, clock and dedicated VRAM on the left, CPU temperature/clock and system memory on the right.

Token usage dashboard for the DeepSeek Harness Web GUI (dsh web and DSH Desktop): metric cards, a heat calendar over 3/6/12 months or all history, click-through day detail with provider breakdown, provider and model rankings, and a dual-metric trend chart

Let your agent understand your players. Glitchless for DeepSeek Harness: game observability tools over MCP (ranked findings, frame times, errors, where players quit, each game's own dashboard) and skills that add Glitchless to a game in Unity, Godot, Unre

Local coding-activity timing per project with wall-clock interval unions, AI added/deleted lines from real diff metadata, per-file time shares, a settings dashboard and CSV export.

Floating A-share limit-up card in the DSH overlay showing limit-up, broken-board and limit-down counts, break rate, consecutive-board height, previous-day limit-up premium, top themes and a localStorage watchlist; closable with no floating remnant (restore from the sidebar footer). Needs the separate Python dashboard backend from the repo's dashboard/ folder (Python 3.9+, akshare; not shipped in the package), which the same-origin proxy can health-check and optionally autostart.

Restaurant store operations expert: reconcile a POS export, locate the gap, split volume vs price, measure discount efficiency, and open a single-file local-data dashboard.

Per-request DeepSeek billing with peak/off-peak and holiday pricing, a cost bar, sidebar card, usage dashboard (trends, calendar, yearly view) and a three-step hot restart (Windows DSH Desktop only).

Digital Study: a private WeRead study in the DSH sidebar, in a calm light-green paper palette. The shelf folds into ten categories and carries a slightly deeper paper tint of its own; highlights and thoughts page through, copy per item, and export as front-matter Markdown (one file per book or a cross-book batch) into a folder you choose; the whole study backs up and restores as a single JSON bundle. Thoughts read like handwritten notes: looser line height, the source book shown in full, long entries folding behind a show-all control, and a same-chapter highlight block for context. A five-shade reading heatmap draws only the days up to today, keeps its numbers on one line underneath, and a year-scoped KPI dashboard sits above it. Sync is incremental: a local ledger plus per-book counts mean an unchanged library refreshes in 2-3 seconds instead of a full pull, and a banner reports progress and dismisses itself after eight seconds. Search covers shelf, books, highlights and thoughts with type filters. Reads WeRead through the official agent gateway using your own API key, keeps everything in local JSON and never writes back. Requires DSH >=0.2.2-rc.1.

GitHub panel for DeepSeek Harness: connection status, repository dashboard, profile checklist, and safe metadata edits in one page.

A dedicated background-job dashboard for the DSH Web UI: merges jobs from every session, shows producer-reported or parsed progress with an honest estimate fallback, groups by status, purpose, session or kind, streams live output, and keeps a local history ledger.

Session Console: a sidebar dashboard over every conversation that shows run state, token spend, cache hit rate, context pressure and a heat score, resolves a plain-language sentence such as "how is the example project going" to the matching session, and dispatches that sentence as a queued task into it. Ships five agent tools (overview, find, tail, dispatch, cancel) over the same data.

A-share and OTC fund dashboard forked from SuCriss/dsh-leekbox (MIT): indices, market boards, limit-up sentiment thermometer, dragon-tiger list, full-market search, a watchlist with in-place position editing and price alerts, a stock detail window with K-line, money flow and F10, a signal screener, 7x24 news, AI stock analysis, and an OTC fund tab with NAV, estimated NAV and a fund detail window showing stage returns, a NAV chart and the disclosed top-10 holdings with live quotes. It keeps upstream's /api/leekbox/* routes and $DSH_HOME/.leekbox-*.json data files, so install it instead of SuCriss/dsh-leekbox rather than alongside it.

Live network inspection dashboard in the sidebar: interfaces with IP/MAC, traffic rates, TCP/UDP session counts and latency curves, refreshed every 3 seconds. macOS only (the collectors run ifconfig, netstat, scutil and /sbin/ping).

Control tower tools: dispatch a task to a role agent, read its report, verify and accept or send it back. Requires the separate agent-control-tower Python CLI (tower; it is not on PyPI — install it with pip install -e from the same repo) on the DSH process's PATH plus a tower init-ed workspace; without it every tool call fails with ENOENT.

OpenCode Go control panel: an account pool that rotates A-to-B when a key runs out or stops authenticating, per-account 5-hour/weekly/monthly allowance, per-model spend with remaining quota, capability tags (image, video, text-only, tools, reasoning), a live OpenCode-vs-official cost comparison, and quota routing that falls back to a DeepSeek official subscription on an upstream limit or degradation, then returns after 10 stable minutes - shown as a current-route banner, a status card and desktop switch notices, in 10 UI languages.

A personal life workbench as a sidebar panel: sleep, meals, workouts, spending, weight, schedule and to-dos share one page of cards that react to one another, and one sentence typed at the top is turned into structured records by the model configured in DSH. Records and card layout stay in local browser storage.

Read-only dashboard for token usage, cost, request speed, and first-token latency across local DSH sessions.

All-session token usage dashboard in the sidebar: total and peak tokens, usage streaks, a 53-week activity heatmap, 7/30-day trend, per-model usage and a session ranking. Folded locally from the profile session projection cache, so sessions written by older session formats are counted too; no network access, and the read-only summary route refuses non-loopback peers.

Token usage and cost analytics for DeepSeek Harness, with daily token and cost charts, model and workspace rankings, a sortable table with CSV export, account balance and per-session cost.

Read-only workflow panel for DSH: overview, six gates, milestones, org template, task flow and roster - project data from a project.json file, roster from the live DSH state, ledger presence from the ledger directory. Ships as a Cordis bundle with two GET-only routes and writes nothing to the project or the DSH state file.

AI-native SDLC as a DeepSeek Harness bundle: task state machine and artifact chain, independent verification with structured verdicts, per-issue rework and re-verification, test freezing, RSI retrospectives, and a read-only dashboard.

Measures one university department's research output: matches author affiliation strings against a college's known name variants (detecting same-named departments at other universities), backfills papers that only name the university by faculty author IDs, classifies each paper by journal tier (CAS partition with Top flag, JCR quartile, CCF, Chinese core via a CNKI export merger), splits staff from student first authors, and writes a workbook with a dashboard sheet, a filterable paper list, a teacher-by-direction matrix and per-teacher statistics. Student authorship is inferred from affiliation and staff lists, not verified against enrolment records. Requires Python 3.9+ with pandas and openpyxl (pip install -r requirements.txt); papers come from the OpenAlex API, whose free per-IP quota is limited, and Chinese-journal coverage needs a manual CNKI export.

DeepSeek Harness tools and a Skill for md-report/1: validate and render Markdown plus declared SQLite/CSV datasets into one offline interactive HTML report or dashboard, with AntV G2 charts (ECharts fallback) and chart/table data and source-SQL views.

Windows multi-drive dashboard that labels cleanable, caution, and system space in green, yellow, and red, audits download folders, and suggests how to split data across drives.