技能详情(站内镜像,无评论)
作者:Alireza Rezvani @alirezarezvani
许可证:MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本:v2.1.1
统计:⭐ 0 · 27 · 1 current installs · 1 all-time installs
⭐ 0
安装量(当前) 1
🛡 VirusTotal :良性 · OpenClaw :可疑
Package:alirezarezvani/terraform-patterns
安全扫描(ClawHub)
- VirusTotal :良性
- OpenClaw :可疑
OpenClaw 评估
The skill's claimed purpose (Terraform code review & security scanning) matches the included code, but there are coherence gaps (undeclared Python dependency, example hardcoded secrets in scanner, and no guidance about handling sensitive findings) that merit caution before installing or running it.
目的
Name/description match what the included files do: two local Python scanners and a large SKILL.md with checklists. However the skill calls 'python3 scripts/...' but the registry metadata does not declare Python (or any required binary). This is a provenance/packaging omission — Python is required to run the provided scripts.
说明范围
Runtime instructions explicitly tell the agent to read all .tf files in a target directory and run the two scanner scripts. That is expected for a Terraform reviewer, but the SKILL.md does not describe how sensitive findings are handled. The security scanner returns matched lines (which can include hardcoded access keys, secrets, or passwords), and the instructions do not instruct redaction or limits on where to scan. This raises risk of unint…
安装机制
No install spec is present and all code is bundled with the skill (two Python scripts plus reference docs). There are no external downloads or installers. This lowers remote code-install risk, but it still requires an execution environment (python3).
证书
The skill requests no environment variables or credentials. That is appropriate. However the scanner is specifically designed to detect hardcoded credentials in Terraform files and will include matched snippets in findings. Because it will read local files containing secrets, users should be aware reports may contain sensitive values.
持久
The skill is not always-enabled and does not request elevated privileges or modify other skills. It runs on-demand and has no install hooks or persistent background components.
安装(复制给龙虾 AI)
将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Terraform Patterns」。简介:Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex,…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/alirezarezvani/terraform-patterns/SKILL.md
(来源:yingzhi8.cn 技能库)
SKILL.md
---
name: "terraform-patterns"
description: "Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: user wants to design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, or follow IaC best practices."
license: MIT
metadata:
version: 1.0.0
author: Alireza Rezvani
category: engineering
updated: 2026-03-15
---
# Terraform Patterns
> Predictable infrastructure. Secure state. Modules that compose. No drift.
Opinionated Terraform workflow that turns sprawling HCL into well-structured, secure, production-grade infrastructure code. Covers module design, state management, provider patterns, security hardening, and CI/CD integration.
Not a Terraform tutorial — a set of concrete decisions about how to write infrastructure code that doesn't break at 3 AM.
---
## Slash Commands
| Command | What it does |
|---------|-------------|
| `/terraform:review` | Analyze Terraform code for anti-patterns, security issues, and structure problems |
| `/terraform:module` | Design or refactor a Terraform module with proper inputs, outputs, and composition |
| `/terraform:security` | Audit Terraform code for security vulnerabilities, secrets exposure, and IAM misconfigurations |
---
## When This Skill Activates
Recognize these patterns from the user:
- "Review this Terraform code"
- "Design a Terraform module for..."
- "My Terraform state is..."
- "Set up remote state backend"
- "Multi-region Terraform deployment"
- "Terraform security review"
- "Module structure best practices"
- "Terraform CI/CD pipeline"
- Any request involving: `.tf` files, HCL, Terraform modules, state management, provider configuration, infrastructure-as-code
If the user has `.tf` files or wants to provision infrastructure with Terraform → this skill applies.
---
## Workflow
### `/terraform:review` — Terraform Code Review
1. **Analyze current state**
- Read all `.tf` files in the target directory
- Identify module structure (flat vs nested)
- Count resources, data sources, variables, outputs
- Check naming conventions
2. **Apply review checklist**
```
MODULE STRUCTURE
├── Variables have descriptions and type constraints
├── Outputs expose only what consumers need
├── Resources use consistent naming: {provider}_{type}_{purpose}
├── Locals used for computed values and DRY expressions
└── No hardcoded values — everything parameterized or in locals
STATE & BACKEND
├── Remote backend configured (S3, GCS, Azure Blob, Terraform Cloud)
├── State locking enabled (DynamoDB for S3, native for others)
├── State encryption at rest enabled
├── No secrets stored in state (or state access is restricted)
└── Workspaces or directory isolation for environments
PROVIDERS
├── Version constraints use pessimistic operator: ~> 5.0
├── Required providers block in terraform {} block
├── Provider aliases for multi-region or multi-account
└── No provider configuration in child modules
SECURITY
├── No hardcoded secrets, keys, or passwords
├── IAM follows least-privilege principle
├── Encryption enabled for storage, databases, secrets
├── Security groups are not overly permissive (no 0.0.0.0/0 ingress on sensitive ports)
└── Sensitive variables marked with sensitive = true
```
3. **Generate report**
```bash
python3 scripts/tf_module_analyzer.py ./terraform
```
4. **Run security scan**
```bash
python3 scripts/tf_security_scanner.py ./terraform
```
### `/terraform:module` — Module Design
1. **Identify module scope**
- Single responsibility: one module = one logical grouping
- Determine inputs (variables), outputs, and resource boundaries
- Decide: flat module (single directory) vs nested (calling child modules)
2. **Apply module design checklist**
```
STRUCTURE
├── main.tf — Primary resources
├── variables.tf — All input variables with descriptions and types
├── outputs.tf — All outputs with descriptions
├── versions.tf — terraform {} block with required_providers
├── locals.tf — Computed values and naming conventions
├── data.tf — Data sources (if any)
└── README.md — Usage examples and variable documentation
VARIABLES
├── Every variable has: description, type, validation (where applicable)
├── Sensitive values marked: sensitive = true
├── Defaults provided for optional settings
├── Use object types for related settings: variable "config" { type = object({...}) }
└── Validate with: validation { condition = ... }
OUTPUTS
├── Output IDs, ARNs, endpoints — things consumers need
├── Include description on every output
├── Mark sensitive outputs: sensitive = true
└── Don't output entire resources — only specific attributes
COMPOSITION
├── Root module calls child modules
├── Child modules never call other child modules
├── Pass values explicitly — no hidden data source lookups in child modules
├── Provider configuration only in root module
└── Use module "name" { source = "./modules/name" }
```
3. **Generate module scaffold**
- Output file structure with boilerplate
- Include variable validation blocks
- Add lifecycle rules where appropriate
### `/terraform:security` — Security Audit
1. **Code-level audit**
| Check | Severity | Fix |
|-------|----------|-----|
| Hardcoded secrets in `.tf` files | Critical | Use variables with sensitive = true or vault |
| IAM policy with `*` actions | Critical | Scope to specific actions and resources |
| Security group with 0.0.0.0/0 on port 22/3389 | Critical | Restrict to known CIDR blocks or use SSM/bastion |
| S3 bucket without encryption | High | Add `server_side_encryption_configuration` block |
| S3 bucket with public access | High | Add `aws_s3_bucket_public_access_block` |
| RDS without encryption | High | Set `storage_encrypted = true` |
| RDS publicly accessible | High | Set `publicly_accessible = false` |
| CloudTrail not enabled | Medium | Add `aws_cloudtrail` resource |
| Missing `prevent_destroy` on stateful resources | Medium | Add `lifecycle { prevent_destroy = true }` |
| Variables without `sensitive = true` for secrets | Medium | Add `sensitive = true` to secret variables |
2. **State security audit**
| Check | Severity | Fix |
|-------|----------|-----|
| Local state file | Critical | Migrate to remote backend with encryption |
| Remote state without encryption | High | Enable encryption on backend (SSE-S3, KMS) |
| No state locking | High | Enable DynamoDB for S3, native for TF Cloud |
| State accessible to all team members | Medium | Restrict via IAM policies or TF Cloud teams |
3. **Generate security report**
```bash
python3 scripts/tf_security_scanner.py ./terraform
python3 scripts/tf_security_scanner.py ./terraform --output json
```
---
## Tooling
### `scripts/tf_module_analyzer.py`
CLI utility for analyzing Terraform directory structure and module quality.
**Features:**
- Resource and data source counting
- Variable and output analysis (missing descriptions, types, validation)
- Naming convention checks
- Module composition detection
- File structure validation
- JSON and text output
**Usage:**
```bash
# Analyze a Terraform directory
python3 scripts/tf_module_analyzer.py ./terraform
# JSON output
python3 scripts/tf_module_analyzer.py ./terraform --output json
# Analyze a specific module
python3 scripts/tf_module_analyzer.py ./modules/vpc
```
### `scripts/tf_security_scanner.py`
CLI utility for scanning `.tf` files for common security issues.
**Features:**
- Hardcoded secret detection (AWS keys, passwords, tokens)
- Overly permissive IAM policy detection
- Open security group detection (0.0.0.0/0 on sensitive ports)
- Missing encryption checks (S3, RDS, EBS)
- Public access detection (S3, RDS, EC2)
- Sensitive variable audit
- JSON and text output
**Usage:**
```bash
# Scan a Terraform directory
python3 scripts/tf_security_scanner.py ./terraform
# JSON output
python3 scripts/tf_security_scanner.py ./terraform --output json
# Strict mode (elevate warnings)
python3 scripts/tf_security_scanner.py ./terraform --strict
```
---
## Module Design Patterns
### Pattern 1: Flat Module (Small/Medium Projects)
```
infrastructure/
├── main.tf # All resources
├── variables.tf # All inputs
├── outputs.tf # All outputs
├── versions.tf # Provider requirements
├── terraform.tfvars # Environment values (not committed)
└── backend.tf # Remote state configuration
```
Best for: Single application, < 20 resources, one team owns everything.
### Pattern 2: Nested Modules (Medium/Large Projects)
```
infrastructure/
├── environments/
│ ├── dev/
│ │ ├── main.tf # Calls modules with dev params
│ │ ├── backend.tf # Dev state backend
│ │ └── terraform.tfvars
│ ├── staging/
│ │ └── ...
│ └── prod/
│ └── ...
├── modules/
│ ├── networking/
│ │ ├── main.tf
│ │ ├── variables.tf
│ │ └── outputs.tf
│ ├── compute/
│ │ └── ...
│ └── database/
│ └── ...
└── versions.tf
```
Best for: Multiple environments, shared infrastructure patterns, team collaboration.
### Pattern 3: Mono-Repo with Terragrunt
```
infrastructure/
├── terragrunt.hcl # Root config
├── modules/ # Reusable modules
│ ├── vpc/
│ ├── eks/
│ └── rds/
├── dev/
│ ├── terragrunt.hcl # Dev overrides
│ ├── vpc/
│ │ └── terragrunt.hcl # Module invocation
│ └── eks/
│ └── terragrunt.hcl
└── prod/
├── terragrunt.hcl
└── ...
```
Best for: Large-scale, many environments, DRY configuration, team-level isolation.
---
## Provider Configuration Patterns
### Version Pinning
```hcl
terraform {
required_version = ">= 1.5.0"
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0" # Allow 5.x, block 6.0
}
random = {
source = "hashicorp/random"
version = "~> 3.5"
}
}
}
```
### Multi-Region with Aliases
```hcl
provider "aws" {
region = "us-east-1"
}
provider "aws" {
alias = "west"
region = "us-west-2"
}
resource "aws_s3_bucket" "primary" {
bucket = "my-app-primary"
}
resource "aws_s3_bucket" "replica" {
provider = aws.west
bucket = "my-app-replica"
}
```
### Multi-Account with Assume Role
```hcl
provider "aws" {
alias = "production"
region = "us-east-1"
assume_role {
role_arn = "arn:aws:iam::PROD_ACCOUNT_ID:role/TerraformRole"
}
}
```
---
## State Management Decision Tree
```
Single developer, small project?
├── Yes → Local state (but migrate to remote ASAP)
└── No
├── Using Terraform Cloud/Enterprise?
│ └── Yes → TF Cloud native backend (built-in locking, encryption, RBAC)
└── No
├── AWS?
│ └── S3 + DynamoDB (encryption, locking, versioning)
├── GCP?
│ └── GCS bucket (native locking, encryption)
├── Azure?
│ └── Azure Blob Storage (native locking, encryption)
└── Other?
└── Consul or PostgreSQL backend
Environment isolation strategy:
├── Separate state files per environment (recommended)
│ ├── Option A: Separate directories (dev/, staging/, prod/)
│ └── Option B: Terraform workspaces (simpler but less isolation)
└── Single state file for all environments (never do this)
```
---
## CI/CD Integration Patterns
### GitHub Actions Plan/Apply
```yaml
# .github/workflows/terraform.yml
name: Terraform
on:
pull_request:
paths: ['terraform/**']
push:
branches: [main]
paths: ['terraform/**']
jobs:
plan:
runs-on: ubuntu-latest
if: github.event_name == 'pull_request'
steps:
- uses: actions/checkout@v4
- uses: hashicorp/setup-terraform@v3
- run: terraform init
- run: terraform validate
- run: terraform plan -out=tfplan
- run: terraform show -json tfplan > plan.json
# Post plan as PR comment
apply:
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main' && github.event_name == 'push'
environment: production
steps:
- uses: actions/checkout@v4
- uses: hashicorp/setup-terraform@v3
- run: terraform init
- run: terraform apply -auto-approve
```
### Drift Detection
```yaml
# Run on schedule to detect drift
name: Drift Detection
on:
schedule:
- cron: '0 6 * * 1-5' # Weekdays at 6 AM
jobs:
detect:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: hashicorp/setup-terraform@v3
- run: terraform init
- run: |
terraform plan -detailed-exitcode -out=drift.tfplan 2>&1 | tee drift.log
EXIT_CODE=$?
if [ $EXIT_CODE -eq 2 ]; then
echo "DRIFT DETECTED — review drift.log"
# Send alert (Slack, PagerDuty, etc.)
fi
```
---
## Proactive Triggers
Flag these without being asked:
- **No remote backend configured** → Migrate to S3/GCS/Azure Blob with locking and encryption.
- **Provider without version constraint** → Add `version = "~> X.0"` to prevent breaking upgrades.
- **Hardcoded secrets in .tf files** → Use variables with `sensitive = true`, or integrate Vault/SSM.
- **IAM policy with `"Action": "*"`** → Scope to specific actions. No wildcard actions in production.
- **Security group open to 0.0.0.0/0 on SSH/RDP** → Restrict to bastion CIDR or use SSM Session Manager.
- **No state locking** → Enable DynamoDB table for S3 backend, or use TF Cloud.
- **Resources without tags** → Add default_tags in provider block. Tags are mandatory for cost tracking.
- **Missing `prevent_destroy` on databases/storage** → Add lifecycle block to prevent accidental deletion.
---
## Installation
### One-liner (any tool)
```bash
git clone https://github.com/alirezarezvani/claude-skills.git
cp -r claude-skills/engineering/terraform-patterns ~/.claude/skills/
```
### Multi-tool install
```bash
./scripts/convert.sh --skill terraform-patterns --tool codex|gemini|cursor|windsurf|openclaw
```
### OpenClaw
```bash
clawhub install terraform-patterns
```
---
## Related Skills
- **senior-devops** — Broader DevOps scope (CI/CD, monitoring, containerization). Complementary — use terraform-patterns for IaC-specific work, senior-devops for pipeline and infrastructure operations.
- **aws-solution-architect** — AWS architecture design. Complementary — terraform-patterns implements the infrastructure, aws-solution-architect designs it.
- **senior-security** — Application security. Complementary — terraform-patterns covers infrastructure security posture, senior-security covers application-level threats.
- **ci-cd-pipeline-builder** — Pipeline construction. Complementary — terraform-patterns defines infrastructure, ci-cd-pipeline-builder automates deployment.