Plugins

Skill center panel for the DSH web GUI - search online skill registries (SkillHub, skills.sh, GitHub), install skills to user or project roots, and manage local skills with enable, create, edit, delete and preview.

Competitive-informatics coach plugin for DeepSeek Harness: coaching-rule prompts, learning roadmap, knowledge points, problem setting, real C++ judging with g++, and ima knowledge-base retrieval with four-notebook archiving, for GESP / CSP-J/S / NOIP / NOI teaching. Needs g++, and an ima account with ima-skill and the four notebooks configured; replies carry a WeChat-account promo and QR code by default.

Adds a writing-plans skill that generates a structured implementation plan document before coding, then executes simple tasks inline or offers an execution choice for complex work.

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`.

Skill panel: browse skills by source, group them into colored folders, preview files, export a skill as zip, copy one into the project, rename it on disk, and insert /skill calls from a composer menu.

Drives Cadence Virtuoso from the host: VM lifecycle, SKILL execution through the bridge, window capture, Calibre DRC parsing and a write-confirmation gate, in 12 host-only tools.

Semantic code search for DeepSeek Harness: registers two native tools, semble_search (find code by describing its behaviour, returning ranked file:line hits) and semble_find_related (neighbours of a known location), which run the Semble CLI via uvx, plus one bundled routing skill. Requires uv on PATH; the first query on a repository builds its index.

Git-based multi-device sync for DSH configuration — captures settings, plugin manifests, lockfiles and skills into a private repository, with one-click capture, apply, pull and restore, and plugin rebuilds from pnpm-lock.

Visual-novel theme with responsive characters, task-state expressions, role skills and a music player, including an original demo pack and optional local game imports.

Adds a Theme row to Settings → General between Appearance and Font size — 8 builtin palettes plus Default, hover previews without writing, click applies and is persisted by the host; imports/exports custom dsh-theme.json files, with an optional Theme Creator skill behind /dsh-theme-creator.

Task details sidebar for DeepSeek Harness: a "View task details" button under every finished turn opens a resizable right-sidebar panel showing that task's input files, intermediate artifacts, output files, tools and skills used, inferred languages, a step-by-step flow timeline, and the model provider with token usage and cache hit rate.

Requires the ui-ux-pro-max design skill to be installed; this plugin only gates it. Adds a switch to the DSH sidebar footer that enables or disables the ui-ux-pro-max design skill at runtime; the choice is stored in the profile settings.

Skills and MCP management console in the settings panel: merged skill catalog across every provider (hierarchical browse by source, online create/edit, independent model and user invocation switches, recoverable trash), GitHub install with multi-select batch install and update checks, MCP server add/edit/remove and enable/disable through the profile patch layer, cross-agent import from Claude Code, Cursor, Codex, Cline, Roo Code, Continue and Windsurf, and an independent SDK connection probe.

Category-based backup of DeepSeek Harness settings, skills, plugins, sessions and storages into verifiable, restorable and downloadable archives, with optional GitHub sync.

All-in-One MCP and skill manager with feature-based recognition and native OAuth 2.1 authentication.

Provides shared plan, context pickup, and progress update Skills through StateDock Remote MCP without executing tasks or scheduling agents; targets Harness 0.2.0-rc.2.

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.

C++ audit skill: detects the target project's actual C++ standard before making any recommendation, then reports findings across RAII and ownership, move semantics, exception safety, performance and memory, containers and algorithms, concurrency, templates and compile-time, standard boundary, and type safety, ABI and interface design, each with a checkpoint, a reason, a bad-to-good example and the minimum standard.

Registers one `ocr` tool for text-only models: it runs the offline script bundled in the repo over a single image or PDF and returns the recognized text — Windows native OCR first, then RapidOCR, then Tesseract. Recognition runs locally with no network request and no API key. Needs Python 3.11 on PATH plus `pip install winocr pillow` (winocr is the preferred engine; RapidOCR and Tesseract are fallbacks). Per-line results for images, per-page results for PDFs.

Mounts the tsm-core-dlr semantic service (LanceDB vectors + graph) as MCP tools and ships the scenario-independent DLR/TSM modeling skill, a service-status overlay and the agent rules; the service is a hard dependency and must be running before the bundle activates.

Pick the model your subagents run on — with a reasoning-effort ceiling and an output-token cap — enforced in code on every child DSH starts, whichever tool starts it.

Time-based model routing: a settings panel defines weekday peak and off-peak windows and the provider/model each one uses, the choices are read from the harness registry (API keys and subscription logins alike), and a global switch decides whether that policy sets the model and reasoning effort of every request. The switch is independent per session, each session row carries a light showing its own state, and the settings panel names the model in force right now and why. A day no window matches — every weekend and holiday — uses the primary model of the first plan; the advanced thinking model is a separate axis, used only when a session itself asks for max reasoning.

Read-only clinic for DSH session logs: 22 named diagnostics (token waste, retry and failure loops, context bloat, cross-session amnesia, idle MCP servers and skills), each reported with a replayable evidence locator such as session.v4.jsonl.zstd#L101-L110, and each finding turned into an executable prescription — a profile-patch YAML snippet or a command with current to suggested values, risk, verification and source — plus a feedback command that retires a prescription you reject, after which the report states it was removed by your feedback. Zero dependencies, default zero egress, session files are never written.

Hand a command-line-verified operation over to the GUI: drive it once, verify with ground truth, and hand back a self-contained illustrated tutorial.