Plugin

Adds a sidebar entry that opens a full-screen 3D gallery of four procedural landmark models — the Eiffel Tower, the Great Wall, the Forbidden City and the Taj Mahal — plus a second entry with five quiet rooms.

Adds a decode-speed reading to each reply action row, right of the usage control: open it for the turn time breakdown, first-token latency, decode output, prefill, speed ranges and total usage. A setting can keep every message action row visible.

Two round buttons at the foot of the DSH desktop sidebar on Windows: restart the app without a console window ever flashing on screen, and open the DeepSeek top-up page in your browser. The restart path launches the helper through WMI and wscript so the new process never inherits a console; it verifies the executable path before killing anything and preserves the original command line. Windows 10/11 only (the package declares os: win32).

Beads issue-graph panel in the left sidebar of the Web GUI: filter ready, in-progress, open, and all beads, read a bead's description, notes, dependencies, and comments, and create, claim, or close beads through the bd CLI. Requires the bd CLI on PATH and a workspace with a Beads database.

DailyBoard — a daily work task board for the DSH Web GUI with a one-month calendar of colored timeline bars and day tasks, a daily checklist, a seven-day week view with completion checkboxes and drag-to-reschedule, a draggable 24-hour day timeline, ordered per-day subtasks, weekly and every-N-days recurring tasks with per-occurrence result records, a long-term progress view opened from the calendar header, per-day completion for long-term tasks, tasks that can be marked “For others” by choosing one of the added recipients (shown as note + email), a collapsible daily email reminder that can be pushed to WeChat and can remind other people such as partners or relatives (each extra recipient has an email, a note and its own send time), and AI extraction of tasks from natural language.

A sticky-notes wall pinned to the sidebar: one click opens a full-page wall, notes save as you type, and writing #tags in the text turns them into one-click filter chips. Six paper colors, pinning, search, JSON export and import.

Adds a restart button to the macOS DSH desktop sidebar that fully quits and reopens the app; on other platforms the button hides itself.

Open Agent-launched test windows on the monitor you pick in dsh Settings (Windows)

OpenCode Go subscription usage in the DeepSeek Harness composer: 5-hour, weekly and monthly windows with a click-open details panel. Zero configuration.

DeepSeek Harness 插件：把对话整理成论文。按说话人还原上下文、提炼带出处的论点、生成论文骨架，并用 Crossref/DataCite/OpenAlex/arXiv 逐条核验引用。

A desktop pet living in the corner of DSH: every hour it brings one official prompt technique from OpenAI or Anthropic — verbatim copy-ready EN template, 1:1 Chinese translation, personalised rationale, and 9 switchable skins.

A OneShot-themed desktop pet (World Machine) with the original game-style dialogue window, per-turn token usage , an optional OpenAI-compatible chat API, lightweight memory and a customizable persona card.

Approval frame for DSH tool calls: a rule table with four outcomes (deny, ask, AI review, allow) across tool, command, file and network scope, then AI fast/deep review and human approval, a hash-chained audit trail and a settings UI. Target files are inspected by metadata only (no file contents are opened); the reviewer sees the command, targets and clipped write payloads, with secrets redacted before anything leaves the machine.

Adds a Restart button to the Windows titlebar of the desktop app: a click opens a confirmation dialog that says how many sessions a restart would interrupt, and confirming quits and reopens the app.

macOS notch panel for DeepSeek Harness: running sessions and pending approvals sit above every window, approvals are decided in place, and clicking a row opens that conversation in the desktop app. Requires macOS 14+ and Xcode Command Line Tools.

Runs an approved OpenSpec change to completion while the model stays a mechanical forwarder: a bundled Python CLI computes the ticket DAG frontier, claims tasks atomically, prepares one git worktree per assignment, and returns exact actions. The session delegates each action with the DSH subagent tool and reconciles the completion notice against a hash-bound receipt produced by re-running verification commands on a clean, advanced HEAD, so free-text "done" never counts. Runtime scope changes are plain tasks.md edits. Requires Python 3.10+ on PATH and a git project that uses OpenSpec.

Logic-risk review before rewriting: audit the source, decide each fix, generate several drafts in parallel, and export with a per-draft audit report. Bring your own OpenAI-compatible API endpoint and key - the plugin ships no model and returns 403 until one is configured.

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.

Skill bundle that installs the codex-collab skill for driving the local OpenAI Codex CLI as a vendor instead of a consultant: every delegation carries acceptance criteria and a self-test script, the result is verified by running those tests locally, and a failure is handed back with its original error output; batch delegation runs sequentially (parallel subprocesses are not usable locally) and multi-turn continuation stays inside one session. Requires the local Codex CLI and PowerShell 7+; the helper scripts are Windows-native and only partially work on macOS/Linux.

Audio tools for DSH: inspect audio/video files, transcode or extract the audio track from a video, trim and normalize, and transcribe speech with local whisper.cpp or an OpenAI-compatible API. Requires ffmpeg and ffprobe on PATH (not bundled); local transcription also needs a whisper-cli binary and a ggml model.

Operate the Edge or Chrome window that is already open, without restarting it and without closing it: choose a window once, reuse a tab that already shows the URL, read page text or DOM state, click by accessible name or visible text, type, scroll, wait for content and batch steps. 22 tools over UI Automation, SendInput and an optional Tampermonkey bridge. Windows only.

DeepSeek account-backed web search and page fetching for DeepSeek Harness sessions whose chat model runs through a third-party subscription or gateway (for example OpenCode Go): registers deepseek-account-search and deepseek-account-fetch providers that call the official Search and Fetch APIs with the signed-in DeepSeek account token, so the built-in web_search and web_fetch keep working without a DEEPSEEK_API_KEY.

Keeps the DSH browser from accumulating tabs: once a configurable limit is exceeded it closes blank, error, duplicate and oldest pages, while leaving the page in use, newly opened tabs and keep-pattern URLs alone. Includes a settings panel with preview and manual cleanup.

Drive the NI Multisim 14.3 install on a Windows machine through nine msim_* tools: open and save .ms14 designs, read and edit component values and circuit parameters, run DC operating point, AC sweep, single-frequency AC and transient analyses, export schematics, BOM and netlists. A Win32 channel drives the visible window to run the Analyses dialog and capture Multisim's own schematic view and waveform plot; a SPICE command-file engine handles designs that expose no probes; an offline reader unpacks the .ms14 container without starting Multisim at all. Requires Windows, NI Multisim 14.3, and a 32-bit Python 3.11-3.13 with pywin32.