Plugins

The DSH plugin-development knowledge base as an on-demand agent skill: official constraints, task workflows, API reference and community gotchas, installed with the bundle so the agent can look things up while building a plugin.

In-GUI skill hub for DeepSeek Harness: browse, search, toggle, inspect, diagnose and scaffold local skills from the official ctx.skills registry, plus a skill market with tracked source sync and one-click update-all.

Minecraft development skills and tools for DeepSeek Harness: 8 skills covering Paper/Spigot plugins, Fabric, Forge and NeoForge mods, addon development against major mods, and Gradle/JDK build setup across Minecraft 1.7.10 through 26.x; the mc_scaffold project generator and the mc_gradle Gradle runner; an intake skill that asks for missing version/platform details before starting; four built-in subagents; and a second Minecraft Architect preset whose mc_codex tool runs the user's own Codex CLI through the codex app-server protocol to draft the skeleton, after which DSH fills the marked method bodies and verifies the build.

DSH Web UI 插件应用商店：目录浏览/搜索/一键安装/兼容徽章/已装列表。A plugin store for DSH Web UI — catalog browse, search, one-click install, compat badges, installed list.

Make any project AI-agent-ready in one command. Adaptive tech stack detection (7 languages × 14 frameworks × 61 components), auto-generates AGENTS.md, docs skeleton, CI/CD, and testing infrastructure. 一句话让任何项目具备 AI 开发能力。

Native tools for an Obsidian wiki vault: wiki_query, wiki_write, wiki_rename, wiki_scaffold, wiki_archive, and wiki_lint cover BM25 search with link-graph context, bookkeeping writes with sha256 source tracking, vault-wide renames, mode scaffolds, source archiving, and health checks — with cross-process locks and optional git auto-commit.

Plugin development toolkit for DeepSeek Harness with scaffolding, contract checks, plugin vetting, impact analysis, and upstream compatibility tracking.

Project documentation scaffolding skill: question-driven setup of project standards, AI-collaboration workflows, and memory discipline across DSH, Reasonix, Claude Code, and Codex.

Plugin compiler with a blueprint registry (scaffold → validate → deploy) exposed as a runtime service, three model tools, and a blueprint-gallery settings page.

Automated unit-test generation: a /testgen command and generate_tests tool that scaffold, run, and fix tests until they pass (LLM + offline template generators; vitest/jest/mocha/node:test).

A chemistry workbench panel in the DSH web UI. Draw structures on a Ketcher canvas (a script downloads the build; it renders locally in the browser with no backend), then compute on the current molecule with RDKit without calling a model — formula, molecular weight, exact mass, logP, TPSA, hydrogen-bond donors and acceptors, ring counts, Fsp3, stereocentres, Lipinski and Veber rule-by-rule checks, QED, PAINS/BRENK structural alerts and the Murcko scaffold, plus SMARTS substructure matching, fingerprint similarity, format conversion, standardisation and batch clean-up. A retrosynthesis tab talks to a pluggable backend (Retro* by default) over a single JSON-in/JSON-out process, and states what is missing when the backend is not installed instead of inventing a route. The calculations run in this repository's Python package (rdkit), which is installed with pip separately.

One-line scaffold generator for DeepSeek Harness agents and plugins.

Generate README.md for dsh plugin repositories from package.json + cordis.patch.yml + source layout — install/CLI/tools/dev/license sections, deterministic, zero runtime deps, read-only by default. CLI plus an agent-callable readme_forge tool.

Scaffold DSH local bundles in the dph format from any workspace and keep a pitfall experience library to steer later development.

Tencent CloudBase backend for DeepSeek Harness — scaffold and deploy full-stack apps from chat, render query results as table cards with paging, sorting and CSV export, preview a deployment on its domain, and call the CloudBase MCP toolset (`mcp__cloudbase__*`) with device-code login.

DSH 插件开发助手：对话式引导，从零开始创建、测试、发布 DSH 插件

Microsoft Agent Framework (MAF) plugin for DeepSeek Harness: validate, run, and scaffold declarative agents and workflows (YAML).

DSH plugin: an unattended AI software team. Feed it a bare Linux server, a set of secrets (env-var references only) and a git remote, and the plugin-driven AI team drives the whole project lifecycle — environment bootstrap, scaffolding, task decomposition

ROS2 debugging toolset and robot-state vision analysis for DeepSeek Harness: node/topic/service/action/interface/TF enumeration, whole-graph topology JSON, rosdep checks, approval-gated builds and custom message scaffolding, GUI screenshots and multimodal vision observation, plus headless RViz2 offscreen rendering (low-poly meshes, direct pixel read, GPU passthrough - motion rendering at 30Hz) with parallel VLM realtime analysis.

DSH project scaffold preset: strict 5-phase init runbook, engineering standards and six runnable starter templates (node-ts / react-vite / python / go / spring-boot / monorepo).

Education toolkit for DSH agents: lesson-plan skeletons by grade band, quiz scaffolding and answer-key validation, analytic rubrics, Anki/markdown flashcards, and readability levels.