aws-wa-security

A security review for AWS infrastructure code, such as Terraform. It checks access permissions, encryption, network protections, and security logging against AWS security guidance.

In plain words
What is it for?
Use it to review AWS infrastructure code for identity and access management, S3 encryption, CloudTrail logging, VPC and firewall settings, and related security controls.
Why use it?
It helps find overly broad permissions, unencrypted storage, missing network controls, and weak detection before infrastructure is deployed.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/roboco-io/plugins/aws-wa-security
Any agent
npx skills add roboco-io/plugins --skill aws-wa-security
Clone the repo
git clone --depth 1 https://github.com/roboco-io/plugins

Made for: Claude Code, Codex.

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,541 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00041 $0.01541
Opus 5 $0.00020 $0.00771
Sonnet 5 $0.00008 $0.00308
Haiku 4.5 $0.00004 $0.00154

Measured 2d ago against content hash e47ada1075f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

aws-wa-security scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/security/skills/aws-wa-security/SKILL.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Pillar

데이터 보호, ID/접근 관리, 탐지 제어 관점에서 IaC 코드를 검토합니다.

핵심 원칙

  1. 강력한 자격 증명 기반: IAM, MFA
  2. 추적 가능성 활성화: CloudTrail, 로깅
  3. 모든 계층에 보안 적용: VPC, Security Group, WAF
  4. 보안 모범 사례 자동화: Security Hub, Config
  5. 전송 중/저장 데이터 보호: 암호화, KMS

검토 항목

SEC-01: IAM 최소 권한

심각도 탐지 유형
Critical 자동 탐지

검토 내용: IAM 정책이 최소 권한 원칙을 준수하는지 확인

Terraform 패턴:

# 취약 - 과도한 권한
resource "aws_iam_policy" "bad" {
  policy = jsonencode({
    Statement = [{
      Effect   = "Allow"
      Action   = "*"
      Resource = "*"
    }]
  })
}

# 안전 - 최소 권한
resource "aws_iam_policy" "good" {
  policy = jsonencode({
    Statement = [{
      Effect   = "Allow"
      Action   = ["s3:GetObject", "s3:PutObject"]
      Resource = "arn:aws:s3:::my-bucket/*"
    }]
  })
}

SEC-02: S3 암호화

심각도 탐지 유형
Critical 자동 탐지

검토 내용: S3 버킷에 서버 측 암호화가 설정되어 있는지 확인

Terraform 패턴:

# 취약 - 암호화 없음
resource "aws_s3_bucket" "bad" {
  bucket = "my-bucket"
}

# 안전 - KMS 암호화
resource "aws_s3_bucket_server_side_encryption_configuration" "good" {
  bucket = aws_s3_bucket.example.id
  rule {
    apply_server_side_encryption_by_default {
      sse_algorithm     = "aws:kms"
      kms_master_key_id = aws_kms_key.mykey.arn
    }
  }
}

SEC-03: RDS 암호화

심각도 탐지 유형
Critical 자동 탐지

검토 내용: RDS 인스턴스에 암호화가 설정되어 있는지 확인

Terraform 패턴:

# 취약
resource "aws_db_instance" "bad" {
  storage_encrypted = false
}

# 안전
resource "aws_db_instance" "good" {
  storage_encrypted = true
  kms_key_id        = aws_kms_key.rds.arn
}

SEC-04: Security Group 규칙

심각도 탐지 유형
Critical 자동 탐지

검토 내용: 0.0.0.0/0 인바운드 규칙 확인 (SSH/RDP)

Terraform 패턴:

# 취약 - 전체 IP 허용
resource "aws_security_group_rule" "bad" {
  type        = "ingress"
  from_port   = 22
  to_port     = 22
  protocol    = "tcp"
  cidr_blocks = ["0.0.0.0/0"]
}

# 안전 - 특정 IP만 허용
resource "aws_security_group_rule" "good" {
  type        = "ingress"
  from_port   = 22
  to_port     = 22
  protocol    = "tcp"
  cidr_blocks = ["10.0.0.0/8"]
}

Read the full file on GitHub · 213 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 213 lines · 41 tokens per session scan A e47ada1075f7

Subscribe to this mod's changes

aws-wa-security is a skill published in the GitHub repository roboco-io/plugins (21 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 1,541 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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