Plugins

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.

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`.

Encrypted local credential vault for DeepSeek Harness: sidebar record management, an info_records tool for pre-sign-in lookups, opt-in chat capture, per-record manual-only mode, and AES-256-GCM storage protected by Windows DPAPI, the macOS Keychain, or the Linux Secret Service.

Pre-claim gate: a commit, push or tag claim like "tests pass" is checked against the session evidence ledger before it is written.

Chinese progress guidance and user-confirmed project or global memory, respecting DSH Full access and reusing host Auto review to reduce repeated prompts.

Rewrites the model-visible copy of system, developer, user, assistant and tool messages into stable HMAC placeholders before a request leaves the machine, while local session logs, the chat transcript and restored tool calls keep real values.

Replaces detected secrets (OpenAI, AWS, GitHub, PEM, Bearer) with deterministic, structurally valid honey tokens before they reach the model or the session file; adds manual marking for values the detectors miss, explicit user-visible restore, a cross-session canary alarm, and an opt-in JSONL log of substitution counts that never records the underlying values.

Grouped run panel for DeepSeek Harness: one click starts a project's services in a real PTY, streams live colored output, and keeps every run's log on disk where the agent can read it.

Windows-only DSH sidebar preview and Dart hot reload for configured Starcompanion / Operit2-derived projects; requires the project preview scripts, a prebuilt debug APK, Android SDK, Flutter and scrcpy 3.3.3.

List the LLM provider routes a running DSH process registered and run one real streamed call.

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.