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Agent Skill · 运维和基础设施

gen-env(生成环境)

gen-env 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

gen-env 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,暂无第三方扫描结果,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 2,023。

总安装 315周安装 13GitHub Stars 43下载 103核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:gen-env(生成环境)
来源仓库:https://github.com/0xbigboss/claude-code
仓库路径:skills/gen-env
安装命令:
npx skills add https://github.com/0xbigboss/claude-code --skill gen-env
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/0xbigboss/claude-code --skill gen-env

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

gen-env 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。gen-env 属于运维和基础设施类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/gen-env

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/0xbigboss/claude-code --skill gen-env;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

gen-env 怎么安装?

在终端执行 npx skills add https://github.com/0xbigboss/claude-code --skill gen-env。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gen-env 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

gen-env 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

gen-env 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

gen-env 用的人多吗?

公开数据是累计安装 315 次,近一周安装 13 次,下载 103 次,GitHub 43 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

gen-env 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
gen-env

生成环境 · 本页

31543接触敏感数据MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

gen-env Skill

Generate or review a gen-env command that enables running multiple isolated instances of a project on localhost simultaneously (e.g., multiple worktrees, feature branches, or versions).

The Problem

Without isolation, multiple instances of the same project:

  • Fight for hardcoded ports (3000, 5432, 8080)
  • Share Docker volumes → data corruption
  • Share browser cookies/localStorage → auth confusion
  • Have ambiguous container names → can't tell which is which
  • Risk catastrophic cleanup → docker down -v nukes everything

The Solution: Instance Identity

Everything flows from a workspace name:

name = "feature-x"
         ↓
┌─────────────────────────────────────────────────────┐
│ COMPOSE_PROJECT_NAME = localnet-feature-x           │
│ DOCKER_NETWORK       = localnet-feature-x           │
│ VOLUME_PREFIX        = localnet-feature-x           │
│ CONTAINER_PREFIX     = localnet-feature-x-          │
│ TILT_HOST            = feature-x.localhost          │
│ Ports                = dynamically allocated        │
│ URLs                 = derived from host + ports    │
└─────────────────────────────────────────────────────┘

Isolation Dimensions

1. Port Isolation

Each instance gets unique ports from ephemeral range (49152-65535).

2. Data Isolation

Docker Compose project name controls volume naming:

  • Instance A: localnet-main_postgres_data
  • Instance B: localnet-feature-x_postgres_data

No cross-contamination. Independent databases.

3. Network Isolation

Separate Docker networks per instance. Containers reference each other by service name without collision.

4. Browser State Isolation

Critical: Different ports on localhost still share cookies!

http://localhost:3000  ─┐
                        ├─ SAME cookies, localStorage
http://localhost:3001  ─┘

Solution: subdomain isolation via *.localhost:

http://main.localhost:3000      ─ separate cookies
http://feature-x.localhost:3001 ─ separate cookies

Chrome/Edge treat *.localhost as 127.0.0.1 automatically. No /etc/hosts needed.

5. Auth Isolation

Each instance can have its own auth realm/audience, preventing token confusion.

6. Resource Naming

Clear prefixes on containers, volumes, Tilt resources, logs → know exactly which instance you're looking at.

Implementation Checklist

When creating or reviewing gen-env:

Identity & Naming:

  • Requires --name <workspace> argument
  • Validates name (alphanumeric + dashes, max 63 chars for DNS)
  • Generates COMPOSE_PROJECT_NAME from name
  • Generates DOCKER_NETWORK, VOLUME_PREFIX, CONTAINER_PREFIX
  • Generates *_HOST for browser isolation (name.localhost)

Port Allocation:

  • Allocates from ephemeral range (49152-65535)
  • Checks port availability before assignment
  • Uses short timeout (100ms) for CI compatibility
  • Handles IPv6-disabled environments gracefully

Persistence:

  • Lockfile stores name + ports (.gen-env.lock)
  • Reuses ports when lockfile exists and name matches
  • --force regenerates all
  • --clean removes generated files

Output:

  • Generates .localnet.env (or project-specific name)
  • Clear header with generation timestamp
  • All derived URLs use correct host + port

Integration:

  • Script added to PATH via .envrc
  • Generated env sourced by .envrc
  • Works with Docker Compose (--env-file)
  • Works with Tilt (Starlark reads env file)

Generated Environment Structure

# .localnet.env - generated by gen-env
# Instance: feature-x
# Generated: 2024-01-15T10:30:00Z

# === Instance Identity ===
WORKSPACE_NAME=feature-x
COMPOSE_NAME=localnet-feature-x
COMPOSE_PROJECT_NAME=localnet-feature-x
DOCKER_NETWORK=localnet-feature-x
VOLUME_PREFIX=localnet-feature-x
CONTAINER_PREFIX=localnet-feature-x-

# === Host (for browser isolation) ===
APP_HOST=feature-x.localhost
TILT_HOST=feature-x.localhost

# === Allocated Ports ===
POSTGRES_PORT=51234
REDIS_PORT=51235
API_PORT=51236
WEB_PORT=51237
# ... more ports

# === Derived URLs ===
DATABASE_URL=postgres://user:pass@localhost:51234/dev
WEB_URL=http://feature-x.localhost:51237
API_URL=http://feature-x.localhost:51236

direnv Integration

# .envrc
PATH_add bin  # or scripts

dotenv_if_exists .localnet.env

Reference Implementation (TypeScript/Bun)

See @IMPLEMENTATION.md for full implementation.

Key types:

interface InstanceConfig {
  name: string;                    // Workspace identity
  composeName: string;             // Docker Compose project name
  dockerNetwork: string;           // Docker network name
  volumePrefix: string;            // Docker volume prefix
  containerPrefix: string;         // Container name prefix
  host: string;                    // Browser hostname (name.localhost)
  ports: Record<string, number>;   // Allocated ports
  urls: Record<string, string>;    // Derived URLs
}

interface LockfileData {
  version: 1;
  generatedAt: string;
  instance: InstanceConfig;
}

Cleanup Patterns

Surgical cleanup per instance:

# Clean only feature-x (containers + volumes + networks)
docker compose -p localnet-feature-x down -v

# Or via gen-env
gen-env --clean  # removes .localnet.env and .gen-env.lock

# List all localnet instances
docker ps -a --filter "name=localnet-" --format "table {{.Names}}\t{{.Status}}"

# Nuclear option (all instances) - DANGEROUS
docker ps -a --filter "name=localnet-" -q | xargs docker rm -f
docker volume ls --filter "name=localnet-" -q | xargs docker volume rm

Common Patterns

Pattern 1: Worktree-Based Naming

# Derive name from git worktree directory
WORKTREE_NAME=$(basename "$(git rev-parse --show-toplevel)")
gen-env --name "$WORKTREE_NAME"

Pattern 2: Branch-Based Naming

# Derive name from branch
BRANCH=$(git branch --show-current | tr '/' '-')
gen-env --name "$BRANCH"

Pattern 3: Explicit Naming

# User specifies (recommended for clarity)
gen-env --name bb-dev
gen-env --name testing-v2

Review Checklist

When reviewing an existing gen-env:

  1. Does it create instance identity? (not just ports)
  2. Does it set COMPOSE_PROJECT_NAME? (controls Docker naming)
  3. Does it generate a browser-safe host? (*.localhost)
  4. Are URLs derived with correct host? (not hardcoded localhost)
  5. Is cleanup surgical? (can remove one instance without affecting others)
  6. Does the lockfile store the name? (for consistency across runs)
  7. Does it validate name conflicts? (warn if lockfile has different name)

Anti-Patterns

❌ Hardcoded localhost in URLs

WEB_URL=http://localhost:${WEB_PORT}  # BAD: shares cookies

✅ Use instance host

WEB_URL=http://${APP_HOST}:${WEB_PORT}  # GOOD: isolated cookies

❌ No COMPOSE_PROJECT_NAME

# BAD: uses directory name, may conflict
docker compose up

✅ Explicit project name

COMPOSE_PROJECT_NAME=localnet-feature-x
docker compose up  # Uses project name for all resources

❌ Shared cleanup

docker compose down -v  # BAD: which instance?

✅ Instance-specific cleanup

docker compose -p localnet-feature-x down -v  # GOOD: explicit

References

  • @IMPLEMENTATION.md - Full TypeScript implementation
  • @ADVANCED_PATTERNS.md - Complex scenarios (monorepos, CI, Tilt integration)

平台分布

Claude Code

24.17%
按下载量换算25

Gemini CLI

22.6%
按下载量换算23

OpenCode

17.96%
按下载量换算18

Codex

13.07%
按下载量换算13

Antigravity

7.93%
按下载量换算8

Cursor

3.47%
按下载量换算4

安全审计

暂无安全审计结果可展示。

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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