Plugins

Decides whether Python code is original or a derivative work: reports the longest identical expression span against an upstream tree, an exemption rationale per finding, and a risk list. Pure stdlib `ast` analysis — offline, no model calls.

`dsh-workflow-designer` 是面向 DeepSeek Harness 的提示词优先工作流设计插件。它收集当前 Agent 可见的本地 Skill、原生 Tool 与 MCP Tool，提供必要的可视化编排和约束编辑能力，并导出稳定的 YAML 中间表示。后续可由大模型及对应框架把 YAML 生成 Python、`workflow.mjs` 或其他代码工作流。

DeepSeek Harness 插件：语音 + 通知出口——agent 通过云端 TTS（火山 seed-tts / 小米 MiMo V2.5，失败自动回退 SAPI）/ 桌面通知 / 提示音主动联系用户。融合 dsh-plugin-notify 的 DSH 原生深度集成与 agent-voice-mcp-minus 的云端 TTS 调优，零 Python 依赖，Windows 原生。

Persistent C/C++, Python, and TypeScript definition navigation with a standalone workspace UI for DeepSeek Harness.

Windows desktop automation for DeepSeek Harness: accessibility-first observe/act loop with 30 standard tools (element/coordinate targets, auto/a11y/event strategy routing), superseded-observations and no-replay safety semantics, persistent kill switch, RuntimeId/rect-drift stale protection, chat cards and a floating panel (live ops, frame wall, env auto-detect settings), tiled vision describe for low-res models, JSONL audit trail and a pid allowlist. Requires Windows 10+ and Python 3.9+ with uiautomation and pillow (installable from the settings page).

Bridges the agent to a persistent OKF memory vault over MCP stdio: a Python server (SQLite FTS5 + Markdown) with 10 tools for searching and storing decisions, facts, learnings, conventions, profiles and sources.

DSH-native integration layer for the Minta memory engine: composes the official dsh-mcp-client row, registers the minta-memory-governance skill plus a session-start memory prewarm, and ships a Minta agent preset; requires the separately deployed Minta engine (Python/Docker) to provide the 19 MCP tools - not usable without it.

Legacy code modernization workflow (preflight -> assess -> map -> transform) with a Cordis mount plugin, offline Python scripts and smoke tests.

Linux X11 computer use for DeepSeek Harness: 9 tools (screenshot, move/click/drag/scroll mouse, type, key combos) driven by a zero-dependency Python XTest helper — native-pixel coordinates, per-action verification, optional auto-observation screenshot.

Clean Architecture reference library for DSH: 8 pinned reference repos (Go, Java, C#, Python) indexed into a local FTS5 database, with assertion rules, a review ledger, and a read-only observation panel.

Self-hosted crypto portfolio dashboard: BTC, EVM (73 chains via DeBank), Solana, Dogecoin, Cardano, Hyperliquid L1, five exchanges (Binance, Bybit, Backpack, OKX, Bitget) and tokenised equities in one view, with multi-provider failover, custom asset labels, a tunable asset-health report, a shareable PNG card, per-source connection tests, multi-profile configs, scheduled refresh and zero-dependency charts (Python stdlib + vanilla JS, no CDN).

Merged plugin: wallpaper customization (original-resolution uploads, crop editor, per-area opacity, MP4/WebM dynamic wallpapers) + Steam Workshop wallpaper extraction (parses scene.pkg/.tex via a bundled Python script, preview/download) + DeepSeek balance & usage widget + OpenCode Go plan usage (rolling/weekly/monthly percents in a top header pill; expand for progress bars & reset countdowns). API keys are read from DSH's credential store by the host — never stored in source or the browser.

OI 出题工作台：知识点锁定、数据构造、本地评测，打包 Hydro/HOJ 原生题目包，发布/管理 Hydro 与 HOJ OJ，提供 Python 外部管理 UI 与系统斜杠命令。Opt-in skill-first plugin for DeepSeek Harness.

A stateful, Agent-controllable Jupyter workspace for DeepSeek Harness: a persistent ipykernel runtime the DSH agent can read, edit, execute, and inspect, with VS Code-aligned cell UI and .ipynb save/load.

Native dsh (DeepSeek Harness) Cordis plugin adapter for vision-translation: grounds images into <vision-context> via the Python CLI (PROTOCOL v1). Spawns cli.py, never re-implements core logic.

macOS desk pet that lives outside the DSH page: a real always-on-top window that clears fullscreen Spaces, six states driven by local DSH, a native right-click menu with quiet mode and a session list, and a bundled skill that turns one photo into a full eighteen-pose skin on your own image tool and credentials; system Python and ctypes, no Electron and no dependencies.

RLM mode for dsh: recursive sub-agents via a unified rlm() function — spawn, await, and chain child agents as first-class Python calls. Adds a persistent IPython kernel with tools.* bindings and context-as-variable.

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).

Unreal Engine .uasset inspection (resolve/registry/load) and restricted Blueprint node editing through built-in UE Python.

Desktop (native) control for dsh as a stdio JSON-RPC bridge over a Python core: capture the screen, inject pointer/keyboard input, drive accessibility-tree actions, and gate high-risk operations behind required confirmations.