Plugins

Ask the executing AI — and the auto-review AI when DSH's auto-review plugin is installed and enabled — about a pending tool approval before you allow or reject it; the executing AI's answers are saved into the session.

Animated AI companion for DSH with image and file chat, shared memory, reminders and background work; reads Bilibili videos through an installed dsh-bili-watch or dsh-bili-scroll plugin.

Lightweight DeepSeek Harness (DSH) plugin: trigger, monitor and safely build n8n workflows from your AI agent.

Ships BMAD-Method inside the plugin: the seven modules are laid down on first open, no installer run and no download, the method's 90 agent and workflow skills come in the package, and each module can be turned off by writing the disabled flag into the profile patch.

RunningHub cloud ComfyUI workflows as a background task pool: submit a batch, and a watcher dispatches it within a concurrency budget, polls each job, downloads every output to disk, and wakes the session when the pool drains. A shared ledger records batches, costs, instance tiers, submit and finish times, and per-file save paths, with a live board in the right sidebar.

Progressive disclosure agent preset and call directory tool that starts from a minimal baseline and unlocks tools, skills, and MCP servers on demand.

Repackages the MedXpert skill collection (zhaoxinghua09-cell/medxpert-skills, Apache-2.0): twenty-one medical-device regulatory skills for NMPA, FDA, EU MDR, and PMDA workflows. Do not install the same skills twice (do not also copy them into ~/.dsh/skills).

Auditable mathematical proving for DeepSeek Harness: a local stdio MCP server with 23 machine-checking tools, a bundled workflow skill, and the /prove and /audit-proof commands. proven, refuted and inconclusive are never conflated, and unproven steps are reported instead of hidden. Needs Python 3.10+ with pip install -r requirements.txt on first run; the 23 tools are unavailable until then.

DeepSeek Harness (DSH) plugin: injects a bounded, timestamped snapshot of your local Second Brain (identity + state fingerprint + pointers) into every new session's prompt. Read-only, zero-write, fail-loud, zero dependencies. 第二大脑载入器：让每个新会话开局自带记忆快照。

Douyin patent and trademark complaint workflow for DeepSeek Harness with a left-sidebar task panel: checks user-supplied links, materials and organization identity in a dedicated browser, records each submission state, queries platform history read-only, and shows local task counts in the sidebar; never discovers targets or submits without explicit authorization.

Development-preview A2UI v0.9/v0.9.1 conversation surfaces using official schemas and renderer, session-scoped form actions and non-executing history replay; verified only in bounded synthetic DSH 0.2.0-rc.2 workflows.

Keeps a task tree with per-step status and serves it over HTTP/SSE, so a Windows node graph can be reviewed step by step. The tarball ships the host and web halves; the Windows node-graph companion is built from source.

Four-tier prompt enhancer for the composer — the system tier always emits a LangGPT-structured system prompt (# Role / Profile / Skills / Rules / Workflows / Initialization), upgrading task drafts into the system prompt of the agent that runs them, while the other tiers rewrite as a light tidy-up, a single paragraph, or a five-section brief; the iterate workbench refines an editable base under an optional requirement, with fill-back and undo. Never changes intent, never invents requirements.

Project rules for DSH: check commit messages, PR descriptions and versions before they ship, and ask before destructive or outward-facing commands.

Native Deepwork roles, routing, profiles, and permission controls for DeepSeek Harness.

Agent preset for DeepSeek Harness: the standard tool stack plus four working rules written into the persona prompt — a project keeps at most four documents (intro, decisions, change log, current state and next steps), those documents describe only the current state with no AI edit history or superseded decisions, no git commit or push or pull request until the user explicitly asks, and a careful-coding workflow (restate the goal and done-criteria first, surgical diffs, evidence before claiming success) with plain-language reports.

Provides a specification-driven engineering workbench with versioned requirements and documents, isolated Git workspaces, independent review, verification, and explicit human acceptance. Requires Node.js 24+ and Git.

Doxygen comment workflow for C/C++ (including Qt) sources: file headers, functions, module groups, trailing and short comments, plus a scan that flags comments whose signature fingerprint went stale. Requires Python 3.10+ with `pip install tree-sitter tree-sitter-cpp`.

DocChain knowledge base, document conversion and knowledge-graph toolkit — filename, content and metadata search, locate-by-doc_id/name with content reading, topic listing, bulk document upload, document-to-Markdown conversion, image-similarity search, per-document image descriptions saved to a sidecar markdown (flowcharts and architecture diagrams are turned into PlantUML sketches, other images into text descriptions; the original image is replaced by a clickable link), a deep-research workflow, and a knowledge-graph layer (ontology inspection, read-only Cypher, ontology/entity/relation writes). Every script-backed capability also ships as a native DSH tool executed in-process: doc search, content search, filename search, topic info, metadata search, upload, image search, image describe, doc2markdown, plus kg schema / kg cypher / kg upsert node / kg upsert relation / kg delete node / kg delete relation. All graph operations go through the DocChain API, so no Neo4j password is needed. The configuration page keeps several docchain environments (each with its own address and credential), switches between them in one click, and pre-selects topics per environment. Needs a docchain service URL and API key (except doc2markdown); image descriptions additionally need an OpenAI-compatible multimodal endpoint (defaults to an internal gateway model, configurable).

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.

A launcher panel for DSH: manages the capability composer, the plugin inventory and the MCP bridge, and walks you through installing the browser tab-bridge extension.

Drop-in enhanced fork of the official workflow tool: a verbatim fork of the stock tool plus a persisted saved-workflow library (workflow_save / workflow_list / workflow_get / workflow_delete / workflow_run_saved) backed by ctx.storageDomain, so scripts can be stored, retrieved and re-run with new arguments.

Graph-based code context, impact analysis, review workflows, interactive graphs, and permission-controlled refactoring for DSH using the code-review-graph engine.

Round-table meetings for DeepSeek Harness 0.2.0-rc.2 on Windows desktop, reusing existing Agent sessions with discussion, editable task cards, sequential and parallel steps, shared meeting files, and secretary minutes.