Plugins

Adds a capability panel to the DSH web GUI: browse, install (upload, zip, host path or URL), enable, edit and export skills, and add or edit Claude Code-compatible MCP servers, at global and per-project scope — with project copies, per-project shadow stubs, live mount status and a zero-side-effect connection probe. A session view toggles capabilities for the current conversation only, and a TypeSafe Jev tab scores skills and MCP servers for the session from the input draft. Requires the dsh web shell 0.2.0-rc.2 or later. Forked from chengdb/dsh-plugin-capability-panel; it shares a patch id with that plugin and with pure-craft/dsh-capability-panel, so do not install them together.

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`.

Adds job-role prompts to the DSH composer: type - at the start of the input to pick a role, which becomes a reference chip in the draft and is then injected as a system prompt section on every turn of that conversation, so the instruction keeps applying without showing up in the transcript. Roles are added and edited on a Settings page and stored in ~/.dsh/dsh-role-prompts.md.

Connects a QQ Bot to DeepSeek Harness with per-peer sessions, group mention and keyword triggers, image generation and voice replies. Access defaults to OPEN for both direct and group chats, and an empty allowlist means everyone — set access.c2cMode / access.groupMode to allowlist (or disabled) before exposing the bot; IM input can run tools on the host.

Token usage dashboard for the whole harness: billed tokens from every session are rolled up per session and turn (uncached input, cache read, cache write and output) with a peak/off-peak CNY cost estimate, and a "Token 用量" entry above Settings in the sidebar opens the dashboard at /token-stats, in a new tab on the web and in an in-app popup on the Desktop. The page recollects and repaints every 60 seconds while the tab is visible. Usage is read from the same session event stream dsh-token-meter consumes, accepting 0.1.x assistant/chunk and 0.2.x assistant/message and assistant/attempt, and counting an attempt repeated after an llm retry as its own billed call; cold history is seeded once from a persisted rollup file and afterwards only logs whose mtime or size changed are re-parsed. Host half and client half ship in the one package.

A per-turn token usage strip in each reply's icon row: a grey/yellow/green segmented bar plus a legend giving that turn's uncached-input, cache-read and output split and each one's share.

Local-only, read-only DSH token dashboard: provider-reported usage across all backends, all-time totals, a 365-day heatmap, input+output and cache read/write details, turn/step counts, average tok/s, and durable history after sessions are archived.

Native, instant region-screenshot button for the DeepSeek Harness composer: one click freezes the screen, a WeChat-style overlay (gray mask, green selection) appears, and the cropped PNG is inserted into the current draft. An optional eye toggle hides the whole DSH window before capturing, then restores it. No ms-screenclip, about 10 ms per drag frame, coexists with voice input. Windows 10/11 x64 only; the first capture compiles a helper with the built-in .NET Framework csc.exe.

Adds an Assist button beside the composer send key. It scans the skills and MCP tools available in the session, ranks them against the text currently in the input box, and lets you inject the selected ones into the running conversation as a steering message.

Adds two Volcengine Doubao cloud speech recognizers to the DeepSeek Harness voice-input picker, optionally rewriting the transcript with an LLM.

Agent mode picker for DSH: pick an external Agent CLI (Claude Code, Codex, Qwen Code, Gemini CLI, Aider, Goose, Hermes…) as the session's default executor from a control next to the input box, instead of editing configuration files. The agent roster is data-driven, and installed CLIs are discovered automatically from PATH, the managed CLI directory and a drop-in convention directory. Agents that are installed but still missing credentials or a required background service are shown as "needs setup" rather than silently hidden.

Pins a selected passage of a finished user or assistant message as source text and keeps it in the model input across context compaction: each pin is recall-on-demand by default, or can be moved to a neutral resident system-prompt section or an emphasised highlighted one. Selections are aligned back to the source text with source-exact, source-normalized or rendered fidelity, and each of the three levels has its own character budget.

Realtime token counter beside the deep-thinking indicator in chat, with merged or split input/output display, per-step operation counts, and auto-scaling K/M/G/T units.

Account balance and cost statistics pill for DeepSeek Harness. It adds a pill at the right-hand end of the official stats row below the session composer, combining the billing period (peak/off-peak, colour-coded), the account balance and the current session cost; clicking it expands a per-session breakdown with cache-hit input, cache-miss input and output amounts, plus cost per model. The rate table is refreshed with plugin releases to follow official pricing.

A prompt optimizer in the composer input tool row: pick a category and a template, then ✨ rewrites the draft in place with one-click undo. Pick from the Basic, Context and Image categories; you can cancel a run, and it shows elapsed time and token usage. Ships 15 templates covering task-instruction rewriting, step planning, safety-research framing, system-prompt role cards, and text-to-image / image-to-image prompts; context templates read the recent turns of the session for coreference resolution. Calls go through the host model service, and a settings section exposes the model and the budgets. Output guards check that user-written constraints survive, warning rather than auto-retrying. Adapted for dsh 0.1.7 and 0.2.

Input prediction: the likely continuation of your draft appears as grey ghost text after the caret and Tab accepts it, and after each assistant turn 1-3 clickable follow-up suggestions appear above the input box and send on click. Ghost completion, suggestions and the suggestion count can be toggled in Settings, Built-in plugins.

A 3×3 pad of saved phrases sitting to the left of the composer and tracking the input box's height: clicking a cell inserts its text at the caret as one undoable edit. Presets are editable in place, 9 cells per page up to 12 pages, and the UI follows the DSH language setting. Falls back to a panel above the composer when the window leaves no room.

Tracks this turn cost under the input box, today tokens and spend in the sidebar with peak and idle pricing, and pins the latest question to the top of the conversation.

Rewrites the draft in the DSH composer into a clearer, more executable prompt through the harness's own LLM routes, showing an original/optimized comparison before you adopt it.

Reasoning-effort gear presets for third-party models: 16 vendor/model presets with per-mode custom wire values, written into dsh-llm-pi-ai with pre-write validation and per-rule rejection; per-model switching between OpenAI Chat Completions, OpenAI Responses and Anthropic Messages with automatic route regrouping; plus a composer Optimize button and a settings section that rewrite the input text with a model you pick.

DSH 生图+生视频整合插件：统一多供应商目录（OpenAI 兼容 images/chat 网关、DashScope 通义万相、火山 Seedance、Google Veo、Sora 风格 /v1/videos 异步任务含 input_reference 图生视频），提供 image_generate / generate_video / animate_image 工具，对话内联显示、图片与视频画廊、统一设置面板。Fork 合并自 dsh-image-generation 与 dsh-video-gen

Targeted Windows input from WSL: invoke a UI Automation element by name, or send keys, clicks and mouse wheel to a chosen window.

Windows desktop automation for dsh: 14 tools that enumerate apps and windows, capture window screenshots that still work when the window is covered by other windows, read the accessibility tree, and perform real input — click, type text (CJK included), press key combinations, scroll and drag. Loads the official computer-use runtime (@oai/sky) already installed on the machine, discovering it by enumerating vendor directories, so vendor upgrades that change hash directories do not break it.

DSH plugin: a four-entry learning flow in the session input bar — scaffold a preset, collect candidates, merge reviewed changes, and run a read-only workspace audit.