Plugins

DSH Web GUI plugin: first-position 【概览】tab in the right panel (context window / session metrics with active-only 1s runtime / per-model usage & cost analysis) plus a settings entry 【DeepSeek 开放平台】that opens platform.deepseek.com. Web profile only, theme-a

Adds parametric CAD modeling, geometry validation, previews, design history, and STEP/STL export to DSH.

Tracking assistant skill: monitor product prices, celebrity news and custom metrics with change alerts and scheduled pushes.

Agent- and GUI-controlled DG-LAB Coyote e-stim plugin: eight `coyote_*` tools plus a DSH web panel behind one safety envelope (soft limits, asymmetric rate limiter, session cooldown, playback caps, disconnect fail-safe); optional auto-stim layer maps agent events (tool calls, errors, turn end) to bounded pulses; official V3 socket protocol with QR pairing, programmable waveforms. Adults only.

Exposes bounded Prometheus metrics for DSH sessions, agents, LLM calls, tools, approvals, subagents, and jobs, with a Grafana dashboard and a loopback-only endpoint by default.

Clusters arXiv, first-party lab, official artifact, hardware-vendor, and opt-in X signals into versioned release evidence bundles, then gates claim-level reproduction on commands, artifacts, metrics, and verifiers.

DeepSeek Harness 的轻量 CAD 插件，用自然语言创建和修改简单零件 | A lightweight CAD plugin for DeepSeek Harness. Create and modify simple parts with natural language

Persona state and slow evolution for DSH: five state dimensions (valence, arousal, energy, intimacy, focus) move after each turn and decay toward baseline over time; four scene types (work, tech, support, chat) modulate reply length and warmth without changing the state itself; the Soul panel keeps a persona card plus weighted evolution entries and injects them into the system prompt persona-first under a 4000-character budget. Ships a browser panel with a persona card editor and a live state view (the five metrics plus the last six events), appends a JSONL trace to disk, and seeds a usable default persona on first install.

Road building materials as a caliber manual: 60 cards over 12 chapters on aggregates, asphalt and the PG system, mix volumetrics, cement, concrete, stabilized mixtures, steel, polymers and 35 test procedures.

A local workbench with model metrics, cost estimates, prompt presets, and optional request auditing for DeepSeek Harness.

替换输入框下方统计栏：Token、上下文、缓存、模型与工具耗时、轮次、步数，明细悬浮显示

DSH Desktop workbench for official MATLAB MCP experiments, verified PNG figures, MATLAB-computed metrics, and PID parameter sweep comparisons. Requires Windows, a MATLAB license and the separately installed official MATLAB MCP Server.

OpenFOAM case doctor for DeepSeek-Harness. Six agent tools: audit a case for 25 classes of silent failure (steadyState paired with timeStep writes, limiters set to 1 that let k/epsilon go negative, unbounded advection of transport scalars, nNonOrthogonalCorrectors 0 on a skewed mesh, loose solver tolerances, blockMesh vertex/block mismatch, stray time directories, purgeWrite 0); read any dictionary as JSON; survey a sweep of cases; run checkMesh/blockMesh/snappyHexMesh/foamRun inside WSL with log parsing; parse logs into the metrics that matter (aspect ratio, non-orthogonality, skewness, residual floor, fatal errors). Deterministic text analysis — no LLM — validated against a real 82k-cell street-canyon snappy case.

Plugin advisor for DeepSeek Harness: describe what you need and it ranks the npm packages carrying the dsh-plugin keyword by denoised metrics (daily baseline, week-over-week growth, release cadence, freshness) into a first pick, alternates and plugins to avoid; ships a sidebar panel, four AI tools and one-click install.

Training Lens opens a local TensorBoard scalar dashboard with selectable metrics, explicit improvement direction, optional EMA smoothing and Chinese/English UI; requires an existing Python environment with TensorBoard.

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.

Registers one `context_extract` tool for DeepSeek Harness: it compresses a long raw document (financial report, contract, ledger) into dense structured Markdown plus JSON — key metrics, tables, numbered clauses, entities and cross-check alerts — so a downstream pipeline can work from the compressed form instead of re-reading the raw document. Financial statements, legal contracts and business ledgers are detected and handled differently; balance-sheet and cash tie-outs are run and mismatches are flagged as alerts rather than silently fixed. Read-only; never modifies the source file. Requires Python with openpyxl and python-docx.

Records host events — turn ends, tool results, agent errors, idle transitions and assistant output — as append-only JSONL for Akasha metrics, recall checks and output audit. Companions: Hindsight (repo memory), OpenViking (user memory), and the built-in session search (see repo README). Setup: clone the repo, copy core/ aside, then replace <AKASHA_DIR> in cordis.patch.yml with its absolute path (or set the AKASHA_DIR env var); plugins fail loudly while the placeholder remains.

Adds a Geek level to the Performance & usage setting: a live reading of the newest request in the composer status row (first-token latency, generation speed, output tokens, total time, amortised speed), and a drawer listing the last ten requests with an average row. Output tokens come from the provider usage; a calibrated character estimate is used only when usage is absent.

Cache-hit metrics, request-prefix risk confirmation, and per-step cache-miss diagnostics for DSH.

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.

Turn a GitHub repository's raw counts into a defensible judgement — contributor concentration and bus factor with single-author files, merge time reported as a median beside the mean so an outlier is visible rather than hidden, and an issue backlog with pull requests and drafts filtered out. Reads the public REST API with no SDK, and never claims a truncated page is the whole answer.

Token usage statistics for DeepSeek Harness with a session drawer and today / last-3-day / last-7-day panels, plus configurable charts and metrics.

Sidebar unread / waiting / status hub for DSH Web: a bell jumps to the next unread session, a shortcut walks sessions waiting for input, and ⌘⇧, / ⌘⇧. step back and forward through the conversations you have visited; one overlay lists unread and pending sessions side by side; a six-metric readout at the sidebar foot makes every icon a button that jumps to the next session of that kind; a host-side ledger keeps the account across restarts, so an unread session keeps its green row dot after a restart, and a startup dialog offers to re-send a continue message to sessions whose turn was cut off.