Plugins

Low-code project workspace for the DSH web UI. A multi-level file tree with a push-status ledger, in-panel source view and edit, pre-push static checks, and a scaffold for an empty workspace. Requires the MagicalCoder platform and a server profile (address + designer account) for push/pull.

WeChat Mini Program engineering tools: scan a project for pages missing from app.json, scaffold pages with automatic registration, fix orphan pages, manage subpackages, tabBar and components, and drive the WeChat DevTools CLI for preview QR codes and uploads.

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.

Move an entire dsh installation to another machine and check it item by item. Three layers go across: the declaration layer (settings, credentials, plugin declarations and vendored link: sources), the state layer (sessions, storages, skills, attachments) and, optionally, the workspace project code. Sessions are rewritten at the zstd header frame only, workspace paths are remapped through an explicit path mapping, and at the end 14 checks (I1–I13 plus I6b) report PASS / FAIL / WARN. A LAN route pairs two machines and pulls the bundle over directly; merge mode diffs a bundle against a machine that has already been in use and stops before writing anything while conflicts are undecided.

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.

Syncs DSH model providers and models across computers through any WebDAV server: the backup is sealed with a passphrase before it leaves this machine, so a new machine opens with the same model list.

Inspects ONNX models (inputs/outputs, shapes, opset, operators, size) and benchmarks them with ONNX Runtime on the local machine or on a remote target over SSH, reporting average/P50/P95/P99 latency, FPS and the execution provider actually used, with PASS/FAIL gates for FPS, P95 latency and model size. Requires Python 3.10+ with numpy, onnx, onnxruntime, and psutil installed (pip install numpy onnx onnxruntime psutil); remote targets need python3, numpy, and onnxruntime.

Plugin development toolset: mark files read by shell commands, sync code into a profile, mock a plugin backend, preview a plugin frontend, verify plugin loading, spin up an isolated test instance, run named shell shortcuts, and list the plugin's tools.

Turns what a design, plan or document claims into a model and decides it: UML diagrams rendered, read and reviewed; state machines, protocols and data models checked as models; migrations tested for coverage and rollback symmetry; concurrency claims mined and routed to the checker that can decide them; dependency graphs audited; reports diffed.

Development tooling for Minecraft 26.3 mods: starts a real dedicated server and a real client from JSON instance registrations, drives both through an authenticated HTTP probe, and asserts on world, UI and log state across Fabric, Forge and NeoForge, writing per-run evidence and shipping no game or loader files. Requires JDK 25 and a Minecraft 26.3 instance.

Inventory every listening TCP endpoint and grade each holder as agent-spawned, workspace, dev-server, unattributed, system or protected; only the first two can be auto-selected, and a reap previews its descendant-closure plan unless confirmed.

Speaks a cue for DeepSeek Harness on Windows: a configurable phrase when an agent turn completes normally, a second phrase when the agent needs you to choose — a question, a plan approval, or a permission request — and a time-of-day greeting when a new conversation starts. A small bubble in the lower-left corner mutes and unmutes every cue with one click, with its own toggle chime. Phrases are synthesized with a Microsoft Edge neural voice (skipping aborted and errored turns, subagent turns, and rounds that a goal is still driving), cached under the DSH home directory and replayed locally, with the desktop SAPI voice as the offline fallback.

Flashes the DeepSeek Harness taskbar button on Windows when an approval, a question or a plan review is waiting, or when a turn finishes.

Daily AI digest by email: fetches ten sources (OpenAI, Anthropic, Google DeepMind, Hugging Face, arXiv, Hacker News and others), clusters near-duplicate stories, scores them in code and with an LLM, then emails the top three on a daily schedule with a four-part reading (facts, why it matters, impact, open questions). Adds four conversation tools and a sidebar panel for previewing the digest, sending it now and changing the schedule.

Focus-aware notifications for DeepSeek Harness: approvals, questions, plan reviews and finished replies appear as one alert only when the conversation window loses focus; background conversations alert at any time and subagent sessions never do.

Move45clock: a health clock for DeepSeek Harness. A 45-minute work timer (5–120 minutes), 12 guided 12–15 minute seated/standing break plans, a visual plan editor, reminder cards scalable to 200%, night reminders at 21:30/22:00/22:30, and optional action-name voice coaching. Window wake is Windows-only.

Quiet break, water, long-session and late-night reminders delivered by three bundled chibi companions, with cloud bubbles and a light bounce. Works in-page without extra downloads; the optional macOS desktop window uses a separately downloaded Electron helper.

Turns real git history into two Chinese changelog drafts (short for users, long for developers); every entry carries its commit SHA and an evidence-backed verified/unverified mark, and commit subjects are never translated.

In-conversation workflow run timeline for DSH Web: a horizontal rail with phase stations, agent pills, loop arcs and parallel bands replaces the stock workflow tool card and workflow-run chat node. Planned stations render before the run starts via client-side script scanning; status dots and icons follow DSH official primitives.

Milestone progress soft-enforcement guard: injects persistent system-prompt rules and post-execute notices when tool calls omit visible progress text, with a Web settings form.

Extends the composer model selector menu with a third Context window row, preset capacities (64K–2M), custom input, provider-wide sync, and adaptive compaction guard.

Let external MCP agents delegate tasks to the existing DSH desktop, with visible sessions, user takeover, and optional approval handoff.

Generic monitor plugin for DSH Desktop: an HTTP polling rule engine. Poll any endpoint on schedule (multi-step, variable extraction, JS condition expressions); when conditions hit, wake a visible agent session to act — zero model calls otherwise. Configure everything in a sidebar GUI panel: create/edit/pause/test/fire-now/run history, same UX as the built-in scheduler plugin.

Bidirectional dispatch for DSH: opens visible desktop sessions for tasks dispatched in by Grok Bot / Yobiru, adds /dispatch-grok and /dispatch-zcode slash commands to send tasks out, and reports the session result back to the dispatching peer on completion (peers are user-configured; nothing is sent until configured).