Env Manager

Community

laolaoshiren

env-manager

环境变量管理器：扫描、校验、同步 .env 文件，生成安全配置模板

Overview

Publisher	laolaoshiren
Repository	`claude-code-skills-zh`
Skill name	`env-manager`
Stars	880
Forks	98
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by laolaoshiren on GitHub. Read the source before you install it.

Installation

Install the Env Manager AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/laolaoshiren/claude-code-skills-zh/tree/main/skills/env-manager
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/laolaoshiren/claude-code-skills-zh.git /tmp/claude-code-skills-zh
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills-zh/skills/env-manager .claude/skills/env-manager

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Env Manager in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Env Manager on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Env Manager is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

环境变量管理器

触发条件

当用户要求管理环境变量、.env 文件、配置同步、Secrets 检查时激活。

工作流程

1. 扫描项目

检测所有 .env* 文件（.env / .env.local / .env.development / .env.production）
默认只提取变量名、来源文件和是否为空；真实值必须脱敏，不写入报告或终端输出
扫描代码中引用的环境变量（process.env.XXX / os.environ['XXX'] / os.getenv('XXX')）
识别静态扫描中未发现引用的变量（仅作为待人工确认候选）
识别已使用但未定义的变量（缺失配置）

2. 校验分析

检查必填变量是否有默认值
验证 URL 格式、端口号范围、布尔值格式
检测硬编码的敏感信息（API Key / Token / Password）
对比 .env.example 与实际 .env 文件的差异

3. 生成/修复

生成 .env.example 模板（仅包含变量名和说明，不含真实值）
生成 .env.schema.json（结构化校验规则）
检测到硬编码密钥时，建议迁移到环境变量
生成 dotenv 加载配置（针对不同框架）

4. 同步

在 monorepo 中同步共享环境变量
生成 Docker Compose 的 env_file 配置
生成 CI/CD 的 Secrets 配置清单

输出格式

.env.example 示例

bash
# 应用配置
APP_NAME=my-app
APP_ENV=development          # development | staging | production
APP_PORT=3000                # 服务端口 (1-65535)
APP_DEBUG=true               # 调试模式

# 数据库
DB_HOST=localhost
DB_PORT=5432
DB_NAME=mydb
DB_USER=                     # 必填
DB_PASSWORD=                 # 必填，生产环境请使用 Secrets

# 第三方服务
REDIS_URL=                   # 必填，格式：redis://host:port
JWT_SECRET=                  # 必填，至少 32 位随机字符串

校验报告示例


📋 环境变量分析报告
==================
✅ 定义且使用: 12 个
⚠️  定义未使用: 2 个（S3_BUCKET, OLD_API_KEY）
❌ 使用未定义: 1 个（SENDGRID_API_KEY）
🔒 硬编码敏感信息: 1 处（src/auth.js:23）

建议：
1. 人工确认 S3_BUCKET 和 OLD_API_KEY 是否被 CI、部署脚本或动态代码引用，再决定是否删除
2. 在 .env 中添加 SENDGRID_API_KEY
3. 将 src/auth.js:23 的硬编码 token 迁移到环境变量

安全检查清单

扫描和报告只展示变量名及脱敏状态，不回显真实 Secret
.env 已添加到 .gitignore
.env.example 存在且与代码同步
无硬编码的 API Key / Token / Password
生产环境使用 Secrets 管理（GitHub Secrets / AWS SSM / Vault）
JWT_SECRET / ENCRYPTION_KEY 足够随机（32+ 字符）
数据库密码不在日志中输出

修改边界

不要自动删除或改写真实 .env；先展示差异并取得用户确认。
“未使用”只代表静态扫描没有发现，仍需检查 CI、容器、部署平台和动态变量访问。
不把生产 Secret 复制到 .env.example、Schema、日志、Issue 或聊天输出中。

常见陷阱

Next.js：只有 NEXT_PUBLIC_ 前缀的变量会暴露给客户端，后端专用变量不要加此前缀
Docker：构建时的 ARG 和运行时的 ENV 是不同的，不要混淆
Create React App：.env 中的变量必须以 REACT_APP_ 开头才会被注入
Vite：使用 VITE_ 前缀暴露变量给客户端
monorepo：根目录的 .env 不会自动被子包读取，需要显式配置

框架适配

框架	客户端前缀	配置文件	加载方式
Next.js	NEXT_PUBLIC_	.env.local	自动
Vite	VITE_	.env	自动
CRA	REACT_APP_	.env	自动
Nuxt	NUXT_PUBLIC_	.env	自动
Vue CLI	VUE_APP_	.env	自动

Frequently asked questions

What does the Env Manager AI skill do?

环境变量管理器：扫描、校验、同步 .env 文件，生成安全配置模板

Why use Env Manager on TypingMind?

Because you install it once and use it with any model. Env Manager is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Env Manager in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laolaoshiren/claude-code-skills-zh/tree/main/skills/env-manager. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Env Manager?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Env Manager?

As many as you like. As long as a model supports skills, you can use Env Manager with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Env Manager AI skill free?

Yes. It is published on GitHub by laolaoshiren under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Architecture Decision Records

affaan-m

CommunityPopular

コーディングセッション中にアーキテクチャ決定を構造化ADRとして記録し、自動的に決定の瞬間を検出し、コンテキスト、検討された代替案、根拠を記録します。今後の開発者がコードベースの形成理由を理解するためのADRログを維持します。

Automation Audit Ops

ECC用の証拠ベースの自動化インベントリとオーバーラップ監査ワークフロー。ユーザーがどのジョブ、フック、コネクタ、MCPサーバー、またはラッパーがライブか、壊れているか、冗長であるか、修正前に不足しているかを知りたい場合に使用します。

Grok

Delegate coding to xAI Grok Build CLI (features, PRs).

Setup Wizard Generator

NousResearch

OrganizationPopular

Generate a bash wizard guiding a human through manual setup.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

环境变量管理器

触发条件

工作流程

1. 扫描项目

2. 校验分析

3. 生成/修复

4. 同步

输出格式

.env.example 示例

校验报告示例

安全检查清单

修改边界

常见陷阱

框架适配

Frequently asked questions

Related AI Skills

Set up your own AI workspace now