AngelosZou/dsh-python-env
Workspace-scoped Python virtual environment management for a DeepSeek Harness project — discover, create, install into, and remove virtual environments without sandbox, network, or subprocess pitfalls.
Project Overview项目介绍
This is a native DeepSeek Harness (DSH) plugin that enables agent-facing Python virtual environment management for DSH workspaces. It ships five functional tools: pyenv_discover, pyenv_create, pyenv_install, pyenv_uninstall, and pyenv_remove, along with a dedicated python-env skill and system prompt guidance for the agent. It runs python -m venv and pip through DSH’s host subprocess channel instead of a sandboxed shell, which avoids common pitfalls with network access and sandbox restrictions that often break pip commands. It also includes automatic mirror and proxy fallback for network issues, retrying across multiple public PyPI mirrors if the default index fails.
The plugin is designed for AI coding agents that use DSH for Python development, and it works cross-platform across Windows, macOS, and Linux. It automatically handles differences in path layout and interpreter chain naming between operating systems, such as Scripts folders on Windows versus bin folders on macOS and Linux. A typical workflow starts with the agent calling pyenv_discover to scan for existing virtual environments in the current workspace. If no suitable environment exists, the agent creates a new one with pyenv_create, installs required dependencies with pyenv_install, and removes packages or the entire environment when no longer needed.
To install the plugin from npm, run the command dsh plugin --profile web add dsh-python-env, then restart the DSH backend to load the new plugin properly. It requires Node.js version 20 or newer, a DSH profile built from @deepseek-ai/dsh-base, and Python 3.8 or newer available on the system PATH or specified explicitly by the user. It has no third-party dependencies, so you do not need to install uv, virtualenv, or any other extra tools to use it. It is released under the permissive open-source MIT license, with no cost for personal or commercial use.
这是一个原生 DeepSeek Harness (DSH) 插件,专为 DSH 项目提供工作区范围的 Python 虚拟环境管理能力。它提供五个核心工具:pyenv_discover、pyenv_create、pyenv_install、pyenv_uninstall、pyenv_remove,还附带专用的 python-env 技能和系统提示引导。它通过 DSH 的宿主进程子通道调用标准 python -m venv 和 pip,而非沙箱 shell,避开了常见的网络和执行陷阱。
该插件面向使用 DSH 进行 Python 开发的 AI 编程代理,适配 Windows、macOS、Linux 多平台,能够自动处理不同系统下的路径布局和解释器路径差异。典型工作流为:代理先调用 pyenv_discover 扫描当前工作区已有的虚拟环境,若没有则调用 pyenv_create 创建新环境,之后通过 pyenv_install 安装依赖包,完成开发后可卸载包或删除整个环境。
该插件依赖 Node.js 20 以上版本、基于 @deepseek-ai/dsh-base 构建的 DSH 配置,以及系统 PATH 中或可指定路径的 Python 3.8 以上版本,无第三方依赖,不需要 uv 或 virtualenv 等额外工具。它采用 MIT 开源许可证,安装方式为执行 dsh plugin --profile web add dsh-python-env,安装后需要重启 DSH 后端才能生效。
请帮我安装这个 DSH 插件。安装前先完成【兼容性检查 + 安全性检查】,检查通过再动手。
插件:dsh-python-env(AngelosZou/dsh-python-env)
仓库:https://github.com/AngelosZou/dsh-python-env
本站详情页:https://www.yhbd.top/plugins/angeloszou-dsh-python-env/
本站登记:类型 plugin · 归类 原生 DSH 插件 · 许可证 MIT · ⭐ 4 · 最近提交 2026-09-21 · 主语言 JavaScript
按下面顺序执行,每步先把结论告诉我,再进入下一步:
【1 兼容性检查】
① 我这边:DSH 版本、Node 版本、操作系统、当前 profile(web / desktop)。
② 读它的 README、package.json、插件 manifest,列出它要求的 DSH 版本 / Node 版本 / 操作系统 / 外部依赖 / 需要另外先装的运行时。
③ 逐条比对,结论只写「满足 / 不满足 / 未知」三种;不满足的给出可行替代方案。
④ 检查是否和我已装的插件冲突:命令名重复、skill / tool 重名、端口占用、重复注册的 MCP server。
【2 安全性检查】
① 仓库可信度:和上面「本站登记」是否一致;star / fork 数、创建时间、最近提交,是否归档或长期停更。
② 安装脚本:逐行看 package.json 的 preinstall / install / postinstall,以及 install.sh、setup.ps1 之类脚本。出现 curl|bash、下载后直接执行、混淆代码、访问与插件功能无关的域名,立刻停下来告诉我,不要继续装。
③ 依赖:列出新增依赖,标出无人维护、或与知名包拼写近似的可疑包(typosquatting)。
④ 权限与副作用:它会读写哪些目录、访问哪些域名、需要哪些 DSH 权限(filesystem / network / shell / clipboard 等),以及怎么卸载和回滚。
⑤ 如果它要求 sudo / 管理员权限,或权限明显超出功能所需,先停下来问我。
【3 安装】
上面两步没有「不满足」和「高危项」时才执行;用官方推荐方式安装,不要自行提权。
【4 汇报】
用表格输出:检查项 / 结论 / 依据 / 是否需要我决策。拿不准的一律写「未知」并说明要我怎么确认——不要猜,也不要替我决定。
Send this message to DSH in your current session: it verifies compatibility and security first (answering met / not met / unknown item by item) and only installs once everything checks out — it will stop and ask you if it finds a high-risk item. The box scrolls; the copy is the full prompt. CLI install commands may not be accurate across systems, so DSH is the safer route.把上面这条消息直接发给当前会话里的 DSH:它会先核对兼容性与安全性(逐条给「满足 / 不满足 / 未知」),确认没问题再安装,有高危项会停下来问你。框内可滚动,复制到的是完整提示词;安装命令不一定准确,发给 DSH 更稳。
- Only 4 stars - very few users, little community feedback星标只有 4,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
dsh plugin --profile web add dsh-python-env
把 AngelosZou/dsh-python-env 加入你的 DSH 配置(web profile)即可启用。
READMEREADME
dsh-python-env
English | 中文
Workspace-scoped Python virtual environment management for a DeepSeek Harness project — discover, create, install into, and remove virtual environments without sandbox, network, or subprocess pitfalls.
A DeepSeek Harness plugin that gives one project (workspace) agent-facing Python virtual environment management:
- Five model tools —
pyenv_discover,pyenv_create,pyenv_install,pyenv_uninstall,pyenv_remove— plus thepython-envskill and a system-prompt guidance section. - Runs the standard library
python -m venv/pipthrough the platform subprocess channel (host process) instead of the sandboxed shell, so venv creation,ensurepipbootstrapping, and package-index network access work where shell-side pip fails. - Mirror and proxy fallback — on a network-classified failure, installs retry across PyPI mirrors (TUNA, Aliyun, USTC) and probe common local proxy ports;
index/proxyarguments pin either. - Workspace confinement — every path resolves inside the session workspace (case-insensitive on Windows); caches and temp state live under
<workspace>/.dsh-pyenv/; commands are argv arrays (no shell); the global Python environment, host pip cache, and system temp are never touched. - Cross-platform — Windows / macOS / Linux layouts and interpreter chains (
Scriptsvsbin,py -3vspython3). - No third-party dependency — no uv, no virtualenv, no other plugin. A pip-less environment is repaired offline via
ensurepip. - Session policy parity — the mutating tools consult the session's sandbox policy and refuse to run in read-only sessions; discovery stays available everywhere.
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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