360 Secure SkillHub
360 安全技能中心

Env File Toolkit

基于 Python 3 标准库的 .env 文件管理工具,提供 validate(语法校验)、diff(环境差异对比)、template(生成脱敏 .env.example)、merge(多文件合并)、list-keys(列出键名)和 check-missing(检查缺失键)六类命令;输入输出均为 .env 文本文件,不依赖第三方包或外部服务。

johnnywang2001
johnnywang2001
热度 40.80
最近更新 2026-05-11 17:35:58
分类:效率依赖:代码执行 / 读写文件应用场景:文件转换 / 工作流 / DevOps / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add env-file-toolkit
Metadata
name
env-file-toolkit
description
Manage .env files with validate, diff, template generation, merge, and missing-key checks. Use when working with environment variable files, comparing .env.local vs .env.production, generating .env.example templates, validating .env syntax, merging env files, or checking for missing environment variables.

Env File Toolkit

Swiss-army knife for .env file management. Validate syntax, diff environments, generate templates, merge files, and check for missing keys.

Commands

Validate

Check .env syntax, find duplicates, empty values, and formatting issues:

python3 scripts/env_toolkit.py validate .env

Diff

Compare two .env files — shows keys only in one file and changed values:

python3 scripts/env_toolkit.py diff .env.local .env.production

Template

Generate a .env.example with smart placeholders (strips secrets, infers types):

python3 scripts/env_toolkit.py template .env
python3 scripts/env_toolkit.py template .env -o .env.example
python3 scripts/env_toolkit.py template .env --keep-values  # keep actual values

Merge

Merge multiple .env files (later files override earlier):

python3 scripts/env_toolkit.py merge .env.defaults .env.local -o .env.merged

List Keys

List all variable names in a .env file:

python3 scripts/env_toolkit.py list-keys .env
python3 scripts/env_toolkit.py list-keys .env --with-values

Check Missing

Verify a target .env has all keys from a template:

python3 scripts/env_toolkit.py check-missing .env.example .env
python3 scripts/env_toolkit.py check-missing .env.example .env --strict

Dependencies

  • Python 3.8+ (stdlib only, no pip packages needed)