superfly/sprites-deepseek-plugin

DeepSeek Harness 插件,用于持久化、隔离的 Sprites:远程构建、测试、预览、检查点以及长期运行的服务。

Project Overview项目介绍

This repository is a native DSH bundle plugin that integrates the Sprites.dev remote isolated Linux environment service directly into DeepSeek Harness for agent-based development. It provides a pre-configured Cordis composition that mounts the official DSH MCP client and a custom file system skill provider, so all Sprites tools are automatically discoverable and usable through DSH’s native skill system. To install the plugin, you can run the DSH CLI command npx @deepseek-ai/dsh plugin --profile web add github:superfly/sprites-deepseek-plugin then start your DSH web profile. The plugin exposes all Sprites tools with the mcp__sprites__* naming prefix inside DSH.

After installation, the first time you connect to Sprites you will need to complete an OAuth 2.1 authorization flow in your default browser, select your Fly.io organization, and review your connector access policy. If tool synchronization times out while you are completing authorization, you just need to restart DSH to pick up the existing authenticated session. This plugin is intended for developers who use DSH as their AI agent platform and need a remote persistent sandbox for building, testing, or running experimental web services. Common workflows include listing existing sprites, creating a new sprite for experiments, running shell commands, creating checkpoints, and exposing running web services.

The plugin requires Node.js 20.19 or newer to run, as it depends on Chokidar 5 which has a minimum Node engine version of 20.19. It also requires an active internet connection to run the pinned version of mcp-remote that handles the OAuth bridge between DSH and Sprites.dev. The plugin is released under the open source MIT license, has no associated costs, and does not store any user credentials locally. All OAuth state and credentials are stored by mcp-remote in its default local credential directory on your machine, so no sensitive data is committed to this repository.

这是一个专为DeepSeek Harness(DSH)打造的原生插件,用于在DSH中集成Sprites.dev服务,让用户可以在DSH工作流中使用Sprites提供的隔离持久Linux环境,完成代码构建、测试、实验和长期运行服务等任务。该插件以DSH Cordis组合包形式打包,挂载DSH MCP客户端和文件系统技能,所有Sprites工具都能通过DSH原生技能系统发现调用。

用户可以通过DSH的CLI命令将该插件安装到DSH的web配置文件中,安装后首次启动需要完成浏览器OAuth授权流程,选择Fly.io组织并确认访问策略,若工具同步超时则重启DSH即可。该插件面向需要在DSH代理工作流中使用远程隔离环境进行开发测试的开发者,支持列出已有实例、创建新实例、运行命令、创建检查点等操作。

该插件要求运行环境装有Node.js 20.19或更高版本,需要可访问的公共网络环境来运行固定版本的OAuth桥,首次授权需要浏览器访问。项目采用MIT开源许可证,无使用成本,插件本身不存储任何用户凭证,凭证信息由mcp-remote保存在本地凭证目录中。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 warning1 项注意
  • Only 6 stars - very few users, little community feedback星标只有 6,几乎没人在用,遇到问题缺少社区反馈
DSH walks through these 9 checksDSH 会逐条核对这 9 项

Compatibility兼容性

  • DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
  • External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
  • Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册

Security安全性

  • Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
  • Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
  • curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
  • Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
  • Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
  • Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式

Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。

Or use CLI install (for developers)或使用命令行安装(适合开发者)

CLI Install命令行安装

npx @deepseek-ai/dsh plugin --profile web add github:superfly/sprites-deepseek-plugin

把 superfly/sprites-deepseek-plugin 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

Sprites for DeepSeek Harness

CI Latest tag License: MIT

Use Sprites from DeepSeek Harness: isolated, persistent Linux environments for builds, tests, experiments, and long-running services.

This repository is a Harness bundle. Its cordis.patch.yml mounts:

  • @deepseek-ai/dsh-mcp-client, connected to the hosted Sprites MCP server.
  • This package's index.js entry, which mounts @deepseek-ai/dsh-skill-filesystem against the packaged Sprites workflow skill.

The result is a native Cordis composition: Sprites tools appear as mcp__sprites__*, and the Sprites skill is discoverable through Harness's normal skill system.

Requirements

  • Node.js 20.19 or newer. The packaged filesystem provider currently depends on Chokidar 5, whose engine floor is Node 20.19.
  • DeepSeek Harness developer preview.
  • Browser access for the first Sprites OAuth authorization.
  • Network access for npx to run the pinned mcp-remote@0.1.38 OAuth bridge.

Harness's current Streamable HTTP MCP transport accepts static headers but does not perform MCP OAuth. This bundle therefore uses Harness's supported stdio transport and mcp-remote to complete the standard browser OAuth flow without requiring a Sprites API token.

Install

Install the GitHub checkout into the profile you use. For the built-in Web profile:

npx @deepseek-ai/dsh plugin --profile web add github:superfly/sprites-deepseek-plugin

Then start that profile:

npx @deepseek-ai/dsh --profile web

On first connection, complete the browser OAuth flow, choose the Fly.io organization, and review the connector access policy. Restart Harness once if the initial tool synchronization timed out while you were authorizing.

For local development from this repository:

npx @deepseek-ai/dsh plugin --profile web add .
npx @deepseek-ai/dsh --profile web

Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →

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