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Agent Skill · 开发

terraform-infra(Terraform infra ORM)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

terraform-infra 是开发类 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;许可证信息还不明确,第三方扫描有未通过项,按安装量在开发类的 21,746 个 Skill 里排第 12,310。

总安装 1,344周安装 56GitHub Stars 25下载 448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
unknown

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:terraform-infra(Terraform infra ORM)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/terraform-infra
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill terraform-infra
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/oimiragieo/agent-studio --skill terraform-infra

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于辅助云资源、部署、容器和基础设施自动化任务。适合检查配置、整理部署步骤、分析资源状态或生成排障思路。使用时需明确目标环境、账号权限和资源组,区分测试与生产操作。涉及删除资源或修改网络配置时,应先确认影响范围。

安装命令:npx skills add https://github.com/oimiragieo/agent-studio --skill terraform-infra

来源仓库内路径:skills/terraform-infra

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/oimiragieo/agent-studio --skill terraform-infr…;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

terraform-infra 怎么安装?

在终端执行 npx skills add https://github.com/oimiragieo/agent-studio --skill terraform-infra。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

terraform-infra 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。

terraform-infra 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。

terraform-infra 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

terraform-infra 用的人多吗?

公开数据是累计安装 1,344 次,近一周安装 56 次,下载 448 次,GitHub 25 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。

terraform-infra 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理开发类任务、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。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
terraform-infra

Terraform infra ORM · 本页

1,34425接触敏感数据未明确未通过

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

Terraform Infrastructure Skill

Installation

The skill invokes the Terraform CLI. Install:

  • macOS: brew tap hashicorp/tap && brew install hashicorp/tap/terraform
  • Windows: choco install terraform or download from HashiCorp
  • Linux (apt): Add HashiCorp repo then sudo apt update && sudo apt install terraform (see HashiCorp install)

Verify: terraform --version

Cheat Sheet & Best Practices

Workflow: terraform init → terraform fmt → terraform validate → terraform plan -out=tfplan → review → terraform apply tfplan. Use terraform show tfplan to inspect.

Hacks: Always run plan before apply; never apply blind. Use remote state (e.g. S3 + lock) for team work. Prefer -auto-approve only in CI with reviewed plans. Use terraform state list and terraform state show <resource> to debug. Use service accounts / workload identity in pipelines; avoid static keys.

Certifications & Training

HashiCorp Terraform Associate (004): IaC concepts, Terraform fundamentals, state, modules, Terraform Cloud. Learning path. Skill data: init → fmt → validate → plan -out → apply; remote state; no blind apply.

Hooks & Workflows

Suggested hooks: Pre-apply: run terraform plan -out=tfplan and gate on review. CI: apply only after plan approval. Use with devops (primary).

Workflows: Use with devops (primary). Flow: init → plan → review → apply; use state commands for debugging. See ci-cd-implementation-rule for pipeline integration.

Overview

Provides 90%+ context savings vs raw Terraform MCP server. Includes critical safety controls for infrastructure operations.

Requirements

  • Terraform CLI (v1.0+)
  • Cloud provider credentials configured
  • Working directory with.tf files

Tools (Progressive Disclosure)

Planning & Validation

ToolDescriptionConfirmation
planGenerate terraform planNo
validateValidate configurationNo
fmtFormat terraform filesNo

State Operations

ToolDescriptionConfirmation
showDisplay current stateNo
listList state resourcesNo
state-mvMove resource in stateYes

Workspace Operations

ToolDescriptionConfirmation
workspace-listList workspacesNo
workspace-selectSelect workspaceNo
workspace-newCreate workspaceYes

Execution (⚠️ Dangerous)

ToolDescriptionConfirmation
applyApply changesREQUIRED

Blocked Operations

ToolStatus
destroyBLOCKED
state-rmBLOCKED

Quick Reference

# Initialize
terraform init

# Plan changes
terraform plan -out=tfplan

# Validate
terraform validate

# Apply (requires -auto-approve for automation)
terraform apply tfplan

Configuration

  • Working directory: Must contain terraform files
  • TF*VAR**: Variable values via environment
  • TF_WORKSPACE: Active workspace

Safety Controls

⚠️ terraform apply ALWAYS requires confirmation ⚠️ terraform destroy is BLOCKED by default ⚠️ State modifications require confirmation ⚠️ Review plan output before apply

Agent Integration

  • devops (primary): Infrastructure management
  • architect (secondary): Infrastructure design
  • cloud-integrator (secondary): Cloud provisioning

Troubleshooting

IssueSolution
Init failedCheck provider credentials
State lockedCheck for other operations
Plan failedReview error output carefully

Module Development

Creating Reusable Modules

Structure modules following HashiCorp conventions:

modules/
  vpc/
    main.tf          # Resource definitions
    variables.tf     # Input variables
    outputs.tf       # Output values
    versions.tf      # Required provider versions
    README.md        # Module documentation

Module Best Practices

PracticeDescription
Single responsibilityEach module manages one logical resource group
Typed variablesUse type constraints on all variables
Validation blocksAdd validation {} for input constraints
Sensitive outputsMark secrets with sensitive = true
Version constraintsPin module source versions

Module Source Patterns

# Local module
module "vpc" {
  source = "./modules/vpc"
}

# Terraform Registry
module "vpc" {
  source  = "terraform-aws-modules/vpc/aws"
  version = "~> 5.0"
}

# Git source (pinned tag)
module "vpc" {
  source = "git::https://github.com/org/modules.git//vpc?ref=v1.2.0"
}

Provider Development Patterns

Custom Provider Skeleton

package provider

import (
    "github.com/hashicorp/terraform-plugin-sdk/v2/helper/schema"
)

func Provider() *schema.Provider {
    return &schema.Provider{
        Schema: map[string]*schema.Schema{
            "api_key": {
                Type:        schema.TypeString,
                Required:    true,
                Sensitive:   true,
                DefaultFunc: schema.EnvDefaultFunc("API_KEY", nil),
            },
        },
        ResourcesMap: map[string]*schema.Resource{
            "myservice_resource": resourceMyServiceResource(),
        },
    }
}

Testing Modules

# Validate module syntax
cd modules/vpc && terraform validate

# Run module tests (Terraform 1.6+)
terraform test

# Plan with module
terraform plan -var-file=examples/basic.tfvars

Iron Laws

  1. ALWAYS run terraform plan and review the output before executing terraform apply
  2. NEVER hardcode credentials or secrets in .tf files — use secret managers (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault)
  3. ALWAYS use remote state with encryption and state locking to prevent concurrent modifications
  4. NEVER edit state files directly — use terraform state commands exclusively
  5. ALWAYS pin provider and module versions for fully reproducible infrastructure deployments

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Hardcoded credentials in.tf filesSecret exposure in VCS, compliance failureUse variables with secret manager backend
No state lockingConcurrent applies corrupt stateEnable backend locking (S3+DynamoDB, Azure Blob, GCS)
terraform apply without plan reviewUnexpected resource deletion or recreationAlways plan first, review diff, then apply
Unversioned providers and modulesNon-reproducible builds and breaking changesPin versions: version = "~> 4.0"
Untagged resourcesUntrackable costs and compliance failureTag all resources with env, owner, cost-center

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

平台分布

Codex

38.61%
按下载量换算173

Claude

30.55%
按下载量换算137

Cursor

17.66%
按下载量换算79

Gemini CLI

9.09%
按下载量换算41

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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