Plugins

LAN access for the official DSH Web UI through a gated reverse proxy: DSH keeps its own loopback binding, and a second port adds a password gate, self-signed HTTPS and per-device pairing that can be revoked individually, with a QR code to open it from a phone.

A real Chrome or Edge for the agent to work in, mirrored in the sidebar so you can watch and take over: every conversation gets its own browser process, with its own profile and its own CDP port, so sign-ins never leak between conversations. It drives the Chrome or Edge already on the machine, downloads no browser, needs no companion app or extension, and another Playwright or DevTools can attach to the same CDP port while the sidebar is live.

Agent-native browser DevTools workbench for DeepSeek Harness. / 让你的DSH获得非常强大的 Chromium DevTools 能力

A DeepSeek Harness (DSH) plugin that lets you control Universal Robots (UR) collaborative arms directly from natural language, developed by Suzhou Nonead Robot Technology Co., Ltd. based on the same logic as the company's own nUR MCP Server. (Suzhou Nonead Robot Technology Co., Ltd.)

Coding workbench for DSH: docked workspace panels, a grouped project sidebar, split editor tab groups with hibernate/resume, file preview and diff views — built on parallel git worktree development with cross-session collaboration primitives.

Multi-machine, multi-agent orchestration and control plane for DSH: discovers Agents and workspaces across devices, routes tasks by machine, repository, capability, and load to local or remote Agent runtimes, streams progress and results, forwards approvals, and recovers durable tasks after disconnections.

Fills missing context window, max tokens, thinking levels, and image input on custom DSH models from models.dev, and lists unmatched models for manual edits.

Web Audio lifecycle cues for DeepSeek Harness: ten configurable events, three low-noise defaults, per-event custom sounds, and no shipped audio assets.

Four GitHub workflow skills for PR triage, review feedback, GitHub Actions diagnosis, and safe draft-PR publishing, reusing existing DSH capabilities with gh/git fallbacks.

GitHub Device Flow connect plus an in-conversation PR workflow: a status bar above the composer for create / AI-review / merge, and github_* tools for search, issue and PR read and write.

12 tested engineering skills (git commit, code review, test-first, plugin dev, debugging, changelog, PR review, task breakdown, and more): every SKILL.md passes a format validator aligned with the official skill rules plus an isolated load smoke test.

Context-aware next-message suggestions in the DSH composer, with repeated Trigger cycling and explicit user review before sending.

Import pi / opencode / codex / claude-code sessions, chat history, and agents into DeepSeek Harness — one-click Sync button, slash commands, session-start migration prompt

DSH-TUI: a lightweight and fast terminal plugin connected directly to the DSH runtime.

Adds specification artifacts, skills, commands, goal-backed implementation, and task-progress context.

SHOPLINE AI Toolkit: bridges the official SHOPLINE Developer MCP server and ships seven SHOPLINE agent skills (Admin REST, GraphQL, OAuth, webhooks, Sline) — the SHOPLINE counterpart of the Shopify AI Toolkit.

ADB device & bench operations for DSH: device discovery, structured logcat (background streaming), apk install, file pull/push, and dumpsys performance snapshots.

Self-evolving pitfall immunity for DeepSeek Harness: capture every failed-then-fixed tool episode, distil it into a reusable antibody stored in SQLite+FTS5, and inject the relevant ones before the agent repeats the mistake.

DSH plugin: native browser_* tools that drive the Chrome you are already using, over native messaging + CDP. No WebSocket, no port, no Connect button. The native host and the MV3 extension ship inside this package and are installed automatically on first

Android in the sidebar, driven by text instead of screenshots. 30 tools read the real UI tree, tap by text/id/ref, measure animation motion, and mirror the screen into the sidebar where you circle a spot and send it back with one sentence — the host ships the marked-up frame plus the controls inside the circle to the chat. Token cost is the point: a screen check is a 200-600 token text block, not a 1k+ token screenshot, and a warm check costs 100-200 ms of wall clock. Video is raw H.264 straight into WebCodecs — no transcoding — with p50 2 ms host-write to decoded frame over a 26 s run, one decoder, zero dropped frames; it falls back to MSE on its own and ?avc=0 forces the old path. Sound is one switch, off by default and remembered per serial, so the default path pays nothing; when on, audio rides its own socket (48 kHz stereo PCM, measured 22 s / 1047 packets / 0 loss) and closing the window reclaims it too. Nothing runs behind your back: closing the window stops capture at once, the viewer-less host decoder, recorder and device-side server are gone within 3 s, an idle channel is dropped after 90 s, and a request you closed is never reopened by itself. `adb_proc audit` settles who leaked what in one call. Bundled helpers, no extra services; needs adb and ffmpeg on the host, and the adb_ocr tool plus the OCR fallback for empty UI trees are macOS-only.

Shows which graft index a dsh session is serving and whether it still matches the code, and gives the model graft_ask, graft_grep, graft_callers, graft_skeleton and graft_map as native tools.

Adobe Lightroom Classic as native dsh tools through the lightroom-py MCP server: read the catalog, apply develop settings and presets, export JPEG/TIFF/PSD/DNG, and write ratings, labels, keywords and IPTC — 15 tools driving the Lightroom Classic installed on the local machine, no cloud round-trip; the Python package is on PyPI and the Lightroom plugin installs with one command.