Plugins

Boot-time guard that repairs corrupt session logs, preflights plugin composition, vm-checks client artifacts, smoke-tests host apply() and quarantines crash-causing bundles, so a broken plugin can never brick startup.

Task-completion notifications via ServerChan / DingTalk / Feishu / generic webhooks.

Bidirectional Feishu/Lark channel for DeepSeek Harness: persistent conversations, true streaming replies, 40 MCP Feishu tools, slash commands, and an IM-bot status tab in the plugin settings.

WeCom (Enterprise WeChat) Smart Robot bridge: two-way chat over the aibot WebSocket gateway, no public endpoint needed.

Drive your dsh agent from WeChat over the iLink gateway: two-way encrypted media transfer (auto-decrypt inbox + /send), proactive weixin_send tool, completion notifications, multi-session switching, and a health panel with file logging.

Conversation-completion notifications for DeepSeek Harness: Windows toast + sound on turn done / error / goal, plus ask & approval alerts - background-only, with a volume-adjustable bell in the conversation header.

Reports bounded, repository-relative Git status as structured data without staging, committing, or changing branches.

GitHub REST API tools + browser sidebar panel: repos, search, issues, PRs, comments, account binding (credential-store), and one-click clone-as-workspace.

Cron/one-shot scheduled tasks: run shell commands or fire webhooks on a schedule, with optional ServerChan/DingTalk/Feishu/webhook delivery of results.

A project-agnostic multi-agent collaboration protocol for the DeepSeek Harness: loop guards that stop runaway agent loops, a six-field handoff format, risk-tiered review routing, and a fixed verify→commit→push→review→close sequence. One skill instead of the same rules copy-pasted into every agent's instructions.

Clusters arXiv, first-party lab, official artifact, hardware-vendor, and opt-in X signals into versioned release evidence bundles, then gates claim-level reproduction on commands, artifacts, metrics, and verifiers.

Registers the commercial-ui-ux skill for DSH: task-aware commercial UI/UX/GUI design, review, repair, and implementation (SaaS, dashboards, admin panels, forms, tables, design systems) with a reference-doc system and quality gates.

Puente de adjuntos de imágenes en el chat con una herramienta view_image para cualquier VLM compatible con OpenAI (Ollama local o nube): las imágenes pegadas/arrastradas se convierten en marcadores de ruta view_image antes de llegar a los modelos DeepSeek de solo texto.

Herramienta image_describe (识图) orientada al modelo sobre la API compatible con OpenAI de DashScope (qwen3.7-flash), más un puente de pegado: en sesiones solo texto, las imágenes pegadas se convierten automáticamente en rutas de archivo al enviar y se vuelven a renderizar en la transcripción, para que nunca tropiecen con la admisión de imágenes. Trae tu propia DASHSCOPE_API_KEY; endpoint/modelo/presupuestos configurables, cliente HTTP a prueba de redirecciones y funciona en todos los agent presets.

Vision for any DSH route: paste images in the Web composer with intent-aware auto-analysis, delegate workspace image reads to a Kimi/MiniMax vision subagent, and materialize pasted originals for editing.

On-demand vision for text-only DeepSeek models: upload images, and the model calls a view_image tool backed by any OpenAI-compatible vision endpoint (Qwen/DashScope by default).

Local-first structured vision for text-only agents: images go to a local OpenAI-compatible VLM and come back as JSON evidence (summary, verbatim OCR, layout regions, entities/relations, colors, explicit uncertainty), with anti-hallucination fallback and an optional paste/upload bridge; zero cloud cost, images never leave the machine.

Synesthesia Encoder for DSH: a vision model translates images into compact structured spatial text (canvas/elements/percentage coordinates), giving text-only LLMs pixel-level image understanding via the `mm_vision` tool.

Routes chat images to a fixed OpenAI-compatible vision model, returns factual observations to the selected main model, and reuses session-scoped observations across replay, compaction, and restarts.

Jira Cloud issue-tracker integration exposing eight model tools for issue search, project and transition lookup, creation, updates, comments, and transitions; writes are opt-in and support dry-run.

Measures design rules on the rendered page rather than in the CSS — type-scale count, WCAG AA contrast against the real composited backdrop, spacing-grid drift, palette size, tap targets, and the tells of generated UI such as violet gradients caught by hue angle; ships a design-system skill.

Fuente de datos empresariales de Qichacha (企查查) como plugin dinámico de Cordis: 5 herramientas de agente (autenticación con inicio de sesión por QR, búsqueda de empresas, búsqueda de conocimiento, búsqueda de herramientas, ejecución de herramientas) que cubren más de 100 dimensiones de datos (registro mercantil, accionistas, judicial, propiedad intelectual), más un gestor de cuentas en la página de ajustes; IO de red/archivos mediante subprocesos de DSH que lanzan node -e; credenciales interoperables con el cliente local BizOwl.

HTTP/API debugging toolset: full-control HTTP requests (method/headers/body/auth), curl command parsing and one-step execution, in-session request history with side-by-side response comparison, pagination-aware Link headers, and DeepSeek-branded UI cards (optional dsh-http-tools-ui).

A slim port of Headroom: compresses tool output, cuts up to 20% of context, without affecting the model's context cache or agent performance.