플러그인

DSH web plugin: a live, bidirectional mind map built on the mind-elixir-core kernel. The agent and the user edit the same tree in real time through a session projection and a Connection RPC channel.

Capture AI web conversations to local JSON + SQLite, and port selected messages into agent harnesses as live, continuable sessions.

定时任务调度器：按 Cron 自动新建 DSH 会话并注入提示词执行。Scheduled tasks for DeepSeek Harness: create a new session with your prompt on a cron schedule.

Durable multi-agent collaboration for DeepSeek Harness with channels, threads, tasks, and resumable agent sessions.

Controls your real Chrome from DSH over a local WebSocket bridge: tab management, navigation, DOM snapshots, page JS evaluation, clicks, typing, screenshots, waits and dialog handling behind a Settings toggle.

Multi-folder workspace for DeepSeek Harness: pick several folders and create one workspace spanning them (directory-flow occupant + extended workspace/sandbox contract)

Bidirectional bridge between Hermes Agent and DeepSeek Harness. Hermes dispatches focused tasks via JSON-RPC over POST /mcp/collab (one-shot or continuable, nonce-bound amend, secret-bound consult reply); DSH lets you continue Hermes sessions as native DS

DSH Web GUI 轻量记忆系统：四个大写 Markdown 文件（USER.md / PROJECT.md / WORKLOG.md / CONVENTION.md）+ 两个动作（append 流水 / distill 沉降）。零外部依赖，只用 Node 内置模块；文件可视化、可 diff、可 git 管理。

DeepSeek Harness 主题皮肤插件：给 DSH Web GUI 换背景（内置主题 / 静态图片 / 动态视频环绕跟随帧），设置页与侧边栏底部一键切换。

DeepSeek usage panel for the DSH Web GUI: account balance (official /user/balance API) plus per-model local session token statistics

Manage, discover, install, update, and uninstall DSH skills as plugins.

Manage Windows hosts over WinRM from a web panel and seven agent tools with PowerShell exec, service and process control, chunked file transfer, and cluster execution.

Adds an approval-mode toggle next to the permission selector: default approval keeps per-call confirmation, bypass approval auto-approves every tool call while staying in Workspace Write.

Vets local, npm, and GitHub plugin source before installation, blocks configured high-risk tool calls at runtime, audits output secret patterns, and writes HMAC-chained local audit logs.

Pre-install static security review and runtime guard for dsh plugins: deobfuscation decoding, supply-chain checks, web one-click review/install/uninstall, and optional runtime tool-call guard.

Source-aware prompt injection guard for DSH: tracks untrusted turn context, detects injection signals, scores sensitive sinks, and blocks high-risk tool calls with explainable audit logs.

Self-update for the harness launcher; checks npm for a newer @deepseek-ai/dsh, stages the tarball, and applies it on harness exit or via update-and-restart from the web panel.

Migrates skills from other agents (Cursor, Claude Code, Codex, OpenCode, and more) into DSH: scans 14 agent platforms plus the shared ~/.agents skills layer, detects duplicate names across sources, lets you pick the best source per skill, copies them into the DSH skills directory, and rolls back previously migrated skills.

AI-for-Science research workflow skill for DeepSeek Harness, aimed at researchers and grad students using agentic AI: multi-angle literature review with per-angle files, experiment design with a caveat list, figures and paper reading; each job returns files plus a cross-verification brief for a second model. Zero deps, MIT.

Agent-managed procedural memory: a skill_manage tool that creates, patches, disables and deletes the agent's own skills in user or project scope, with delete guards (agent-created marker, pin, path confinement) and a trigger-discipline prompt.

Bayesian stock prediction plugin that fuses MACD, RSI, moving-average, volume and other technical signals into an up-move posterior probability with multi-horizon comparison, trend-state classification and position risk metrics for A-share and US stocks.

A-share multi-agent analysis behind /trading-agent, ported from TradingAgents-AShare, running 14 roles (analysts, bull/bear debate, risk review, trader) through the harness LLM route.

DSH tools for reproducing and validating the ml-quant-trading protocol v1 CPU benchmark, then drafting an issue-ready report. Requires a local clone of initial-d/ml-quant-trading (set as the workspace or repoPath) plus Python and PyTorch; this plugin does not fetch the repository or install its dependencies.

Windows desktop UI context picker for Codex, DeepSeek Harness, and MCP clients: select windows, UI elements, or screen regions with hover highlighting, UI Automation, screenshots, and local OCR, then review and approve Markdown/JSON context before output.