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.
npx agentmods add skills/roboco-io/plugins/aws-wa-sustainabilitynpx skills add roboco-io/plugins --skill aws-wa-sustainabilitygit clone --depth 1 https://github.com/roboco-io/pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/roboco-io/plugins/aws-wa-sustainability)<a href="https://agentmods.dev/skills/roboco-io/plugins/aws-wa-sustainability"><img src="https://agentmods.dev/badge/skills/roboco-io/plugins/aws-wa-sustainability.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00031 | $0.01292 |
| Opus 5 | $0.00015 | $0.00646 |
| Sonnet 5 | $0.00006 | $0.00258 |
| Haiku 4.5 | $0.00003 | $0.00129 |
Grade A, and why
aws-wa-sustainability 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sustainability Pillar
환경 영향 최소화, 에너지 효율 관점에서 IaC 코드를 검토합니다.
핵심 원칙
- 영향 이해: 탄소 발자국 측정
- 지속 가능성 목표 수립: 환경 목표 설정
- 활용 극대화: 리소스 효율성 최대화
- 더 효율적인 하드웨어/소프트웨어 채택: Graviton, Serverless
- 관리형 서비스 사용: 공유 인프라 활용
- 다운스트림 영향 축소: 데이터 전송 최적화
검토 항목
SUS-01: Graviton 인스턴스 사용
| 심각도 | 탐지 유형 |
|---|---|
| Low | 자동 탐지 |
검토 내용: 에너지 효율적인 Graviton 프로세서 사용 여부
Graviton 장점:
- 최대 60% 에너지 효율 향상
- 동일 성능 대비 낮은 비용
Terraform 패턴:
# 권장 - Graviton 인스턴스
resource "aws_instance" "sustainable" {
instance_type = "t4g.medium" # Graviton2
}
resource "aws_instance" "sustainable_v3" {
instance_type = "m7g.large" # Graviton3
}
SUS-02: Serverless 활용
| 심각도 | 탐지 유형 |
|---|---|
| Low | 자동 탐지 |
검토 내용: Lambda, Fargate 등 서버리스 서비스 활용 여부
권장 서비스:
- AWS Lambda
- AWS Fargate
- Amazon Aurora Serverless
- Amazon DynamoDB On-Demand
Terraform 패턴:
# 권장 - Lambda 사용
resource "aws_lambda_function" "sustainable" {
function_name = "my-function"
runtime = "python3.11"
# 사용하지 않을 때 리소스 소비 없음
}
# 권장 - Fargate 사용
resource "aws_ecs_service" "sustainable" {
launch_type = "FARGATE"
}
SUS-03: 관리형 서비스 활용
| 심각도 | 탐지 유형 |
|---|---|
| Low | 자동 탐지 |
검토 내용: 자체 관리 대신 관리형 서비스 사용 여부
권장 서비스:
- Amazon RDS (vs 자체 관리 DB)
- Amazon ElastiCache (vs 자체 관리 Redis)
- Amazon OpenSearch Service
- Amazon MQ
SUS-04: 리소스 적정 규모
| 심각도 | 탐지 유형 |
|---|---|
| Low | 자동 탐지 |
검토 내용: 과도한 크기의 인스턴스 사용 여부 (Cost Pillar와 연계)
SUS-05: 저탄소 리전
| 심각도 | 탐지 유형 |
|---|---|
| Low | 수동 확인 필요 |
검토 내용: 지속 가능한 에너지를 사용하는 리전 선택 여부
AWS 저탄소 리전 (재생 에너지 비율 높음):
- eu-north-1 (Stockholm)
- eu-west-1 (Ireland)
- us-west-2 (Oregon)
- ca-central-1 (Canada)
SUS-06: 미사용 리소스 정리
| 심각도 | 탐지 유형 |
|---|---|
| Low | 자동 탐지 |
검토 내용: 미사용 리소스 방치 여부 (Cost Pillar와 연계)
체크 항목:
- 미사용 EBS 볼륨
- 오래된 스냅샷
- 미사용 Elastic IP
- 유휴 로드 밸런서
SUS-07: 데이터 저장 최적화
| 심각도 | 탐지 유형 |
|---|---|
| Low | 자동 탐지 |
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.
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.
- 5d ago First seen · 188 lines · 31 tokens per session scan A dcfb4131c863
aws-wa-sustainability is a skill published in the GitHub repository roboco-io/plugins (21 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 1,292 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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