Agent skill

Cloud Cost Models

by revfactory in revfactory/harness-100

AWS/GCP/Azure 비용 모델, 사이징 가이드, 예약 인스턴스/Savings Plan 전략, FinOps 프레임워크 가이드.

Apache-2.0Auto-check passedDevOps & Cloud

Install Cloud Cost Models

skills CLI
$ npx skills add revfactory/harness-100 --skill cloud-cost-models -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install revfactory/harness-100 cloud-cost-models --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/26-infra-as-code/.claude/skills/cloud-cost-models .claude/skills/cloud-cost-models && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cloud-cost-models
GitHub stars
1.3k
Token cost
~654 tokens
SKILL.md length
159 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

AWS/GCP/Azure 비용 모델, 사이징 가이드, 예약 인스턴스/Savings Plan 전략, FinOps 프레임워크 가이드.

  • Tasks that involve Cloud cost optimization
  • SKILL.md covers AWS 핵심 서비스 비용 모델, 환경별 비용 최적화 전략, 비용 추정 템플릿 and FinOps 성숙도 모델
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cloud Cost Models is an agent skill from revfactory/harness-100. AWS/GCP/Azure 비용 모델, 사이징 가이드, 예약 인스턴스/Savings Plan 전략, FinOps 프레임워크 가이드. '클라우드 비용', '비용 최적화', 'FinOps', '인스턴스 사이징', 'Savings Plan', '예약 인스턴스', 'Spot 인스턴스', '비용 추정' 등 인프라 비용 관련 판단 시 이 스킬을 사용한다. cost-optimizer의 비용 분석 역량을 강화한다. 단, 실제 리소스 프로비저닝이나 결제 설정은 이 스킬의 범위가 아니다.

Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Cloud cost optimization. It works with Amazon Web Services, Google Cloud and Microsoft Azure. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Cloud cost optimization

Example prompts

  • “FinOps”
  • “Savings Plan”
  • “Spot 인스턴스”
  • “/cloud-cost-models”

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are hcl and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cloud Cost Models loads about 654 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 159 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~654

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 159 words, ~654 tokens.

Download SKILL.mdSave it as .claude/skills/cloud-cost-models/SKILL.md (or your agent's skills folder).
name
cloud-cost-models
description
AWS/GCP/Azure 비용 모델, 사이징 가이드, 예약 인스턴스/Savings Plan 전략, FinOps 프레임워크 가이드. '클라우드 비용', '비용 최적화', 'FinOps', '인스턴스 사이징', 'Savings Plan', '예약 인스턴스', 'Spot 인스턴스', '비용 추정' 등 인프라 비용 관련 판단 시 이 스킬을 사용한다. cost-optimizer의 비용 분석 역량을 강화한다. 단, 실제 리소스 프로비저닝이나 결제 설정은 이 스킬의 범위가 아니다.

Cloud Cost Models — 클라우드 비용 모델 및 FinOps 가이드

클라우드 인프라 비용을 정확히 추정하고 최적화하는 실전 가이드.

AWS 핵심 서비스 비용 모델

EC2 구매 옵션 비교 (ap-northeast-2 기준)
옵션할인율약정유연성적합 워크로드
On-Demand0%없음최대변동 워크로드, 테스트
Savings Plan (Compute)~30%1년인스턴스 변경 가능안정적 기본 부하
Savings Plan (EC2)~40%1년패밀리 내 변경예측 가능한 워크로드
Reserved Instance~40%1년/3년제한적24/7 서버
Spot Instance~70%없음중단 가능배치, CI/CD, ML
사이징 의사결정 테이블
CPU 사용률 < 20% 지속 → 다운사이징 권장
CPU 사용률 > 80% 지속 → 업사이징 또는 스케일아웃
메모리 사용률 < 30%   → 메모리 최적화 인스턴스 불필요

워크로드 유형 → 인스턴스 패밀리:
├── 범용: t3, m6i (CPU/메모리 균형)
├── 컴퓨팅 집약: c6i (API 서버, 연산)
├── 메모리 집약: r6i (캐시, 인메모리 DB)
├── 스토리지 집약: i3, d3 (데이터베이스)
└── GPU: p4d, g5 (ML 학습/추론)
RDS 비용 요소
월간 비용 = 인스턴스 비용 + 스토리지 + I/O + 백업 + 전송

예: db.r6g.xlarge, Multi-AZ, 500GB gp3
├── 인스턴스: $0.54/h × 730h × 2(Multi-AZ) = $788.40
├── 스토리지: 500GB × $0.138/GB = $69.00
├── 백업(초과분): 100GB × $0.095/GB = $9.50
└── 월 합계: ~$866.90

환경별 비용 최적화 전략

환경전략예상 절감
dev업무 시간만 운영 (12h/day, 주5일) = 36% 가동~60% 절감
stagingdev와 동일 + 더 작은 인스턴스~70% 절감
prodSavings Plan + Right-sizing + 오토스케일링~40% 절감
개발 환경 스케줄링
hcl
# Lambda로 dev 환경 자동 시작/중지
resource "aws_cloudwatch_event_rule" "start_dev" {
  schedule_expression = "cron(0 0 ? * MON-FRI *)"  # 평일 09:00 KST
}
resource "aws_cloudwatch_event_rule" "stop_dev" {
  schedule_expression = "cron(0 12 ? * MON-FRI *)"  # 평일 21:00 KST
}

비용 추정 템플릿

markdown
# 월간 비용 추정서

## 아키텍처 요약
| 구성요소 | 사양 | 수량 |

## 환경별 비용
| 서비스 | Dev | Staging | Prod | 합계 |
|--------|-----|---------|------|------|
| EC2/ECS | | | | |
| RDS | | | | |
| ElastiCache | | | | |
| ALB | | | | |
| S3 | | | | |
| CloudWatch | | | | |
| 데이터 전송 | | | | |
| **소계** | | | | |

## 최적화 적용
| 최적화 | 절감액 |
|--------|--------|
| Savings Plan (1년) | |
| 개발환경 스케줄링 | |
| Right-sizing | |
| **총 절감** | |

## 최종 비용
- 최적화 전: ₩N/월
- 최적화 후: ₩N/월
- 절감률: N%

FinOps 성숙도 모델

단계활동도구
Inform비용 가시화, 태깅, 할당AWS Cost Explorer, 태그 정책
OptimizeRight-sizing, 예약, 스팟Compute Optimizer, Trusted Advisor
Operate예산 알림, 자동 조치, 거버넌스AWS Budgets, Lambda 자동 정리

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in ko/26-infra-as-code/.claude/skills/cloud-cost-models of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Cloud Cost Models next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cloud Cost Models compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cloud Cost Models this skillrevfactory/harness-1001.3k—~654Automated safety check: PassApache-2.0
Cloud Cost Optimizationwshobson/agents40k13 repos~1.7kAutomated safety check: PassMIT
Spotinfoalexei-led/spotinfo164—~1.8kAutomated safety check: PassApache-2.0
FrugalyuanboP/frugal198—~2.1kAutomated safety check: PassMIT
Cloud Architectdavila7/claude-code-templates32k7 repos~1.9kAutomated safety check: PassMIT
Cloud ArchitectJeffallan/claude-skills12k—~1.9kAutomated safety check: PassMIT

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Categories

Questions about Cloud Cost Models

What does Cloud Cost Models do?

AWS/GCP/Azure 비용 모델, 사이징 가이드, 예약 인스턴스/Savings Plan 전략, FinOps 프레임워크 가이드. Cloud Cost Models is an agent skill from revfactory/harness-100. AWS/GCP/Azure 비용 모델, 사이징 가이드, 예약 인스턴스/Savings Plan 전략, FinOps 프레임워크 가이드.

When should I use Cloud Cost Models?

Cloud Cost Models fits situations like: tasks that involve Cloud cost optimization.

How do I install Cloud Cost Models in Claude Code?

Run `npx skills add revfactory/harness-100 --skill cloud-cost-models -a claude-code`. Or copy the skill folder (ko/26-infra-as-code/.claude/skills/cloud-cost-models in revfactory/harness-100) into .claude/skills/cloud-cost-models in your project. Claude Code loads it when a task matches its description.

How do I install Cloud Cost Models in Codex?

Run `npx skills add revfactory/harness-100 --skill cloud-cost-models -a codex`. Or copy the skill folder (ko/26-infra-as-code/.claude/skills/cloud-cost-models in revfactory/harness-100) into .agents/skills/cloud-cost-models in your project. Codex loads it when a task matches its description.

Can I use Cloud Cost Models in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill cloud-cost-models -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cloud-cost-models, .gemini/skills/cloud-cost-models, .github/skills/cloud-cost-models and .opencode/skills/cloud-cost-models in your project.

What does Cloud Cost Models need to run?

SKILL.md names no scripts, command-line tools or credentials: Cloud Cost Models is instructions for the agent only.

Does Cloud Cost Models access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cloud Cost Models safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cloud Cost Models use?

Cloud Cost Models is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cloud Cost Models use?

About 654 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cloud Cost Models?

Skills that share tags, products or a category with Cloud Cost Models: Cloud Cost Optimization (wshobson/agents, 40k stars), Spotinfo (alexei-led/spotinfo, 164 stars), Frugal (yuanboP/frugal, 198 stars) and Cloud Architect (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cloud Cost Models?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.