Agent skill

Cloud Cost Models

by revfactory in revfactory/harness-100

AWS/GCP/Azure cost models, sizing guides, Reserved Instance/Savings Plan strategies, and FinOps framework guide.

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/en/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
~953 tokens
SKILL.md length
160 words
Files
1
Skills in repo
96
Repo updated
First seen
Licence
Apache-2.0

At a glance

AWS/GCP/Azure cost models, sizing guides, Reserved Instance/Savings Plan strategies, and FinOps framework guide.

  • Cost optimization
  • SKILL.md covers AWS Core Service Cost Models, Per-environment Cost…, Cost Estimation Template and FinOps Maturity Model
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Instance sizing

What it does

Cloud Cost Models is an agent skill from revfactory/harness-100. AWS/GCP/Azure cost models, sizing guides, Reserved Instance/Savings Plan strategies, and FinOps framework guide. Use this skill for 'cloud costs', 'cost optimization', 'FinOps', 'instance sizing', 'Savings Plan', 'reserved instances', 'Spot instances', 'cost estimation', and other infrastructure cost-related decisions. Enhances the cost analysis capabilities of cost-optimizer. Note: actual resource provisioning and billing configuration are outside the scope of this skill.

Its SKILL.md is about 950 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

  • Cost optimization
  • Instance sizing
  • Reserved instances
  • Cost estimation

Example prompts

  • “cloud costs”
  • “cost optimization”
  • “FinOps”
  • “/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 953 tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 160 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~124
When it runs · the whole SKILL.md, loaded when a task matches
~953

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). 160 words, ~953 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 cost models, sizing guides, Reserved Instance/Savings Plan strategies, and FinOps framework guide. Use this skill for 'cloud costs', 'cost optimization', 'FinOps', 'instance sizing', 'Savings Plan', 'reserved instances', 'Spot instances', 'cost estimation', and other infrastructure cost-related decisions. Enhances the cost analysis capabilities of cost-optimizer. Note: actual resource provisioning and billing configuration are outside the scope of this skill.

Cloud Cost Models — Cloud Cost Model and FinOps Guide

A practical guide for accurately estimating and optimizing cloud infrastructure costs.

AWS Core Service Cost Models

EC2 Purchase Option Comparison (ap-northeast-2 basis)
OptionDiscountCommitmentFlexibilitySuitable Workload
On-Demand0%NoneMaximumVariable workloads, testing
Savings Plan (Compute)~30%1 yearInstance changeableStable baseline load
Savings Plan (EC2)~40%1 yearWithin familyPredictable workloads
Reserved Instance~40%1yr/3yrLimited24/7 servers
Spot Instance~70%NoneInterruptibleBatch, CI/CD, ML
Sizing Decision Table
CPU utilization < 20% sustained -> Downsizing recommended
CPU utilization > 80% sustained -> Upsize or scale out
Memory utilization < 30%        -> Memory-optimized instance unnecessary

Workload type -> Instance family:
+-- General purpose: t3, m6i (CPU/memory balanced)
+-- Compute intensive: c6i (API servers, computation)
+-- Memory intensive: r6i (cache, in-memory DB)
+-- Storage intensive: i3, d3 (databases)
+-- GPU: p4d, g5 (ML training/inference)
RDS Cost Components
Monthly cost = Instance cost + Storage + I/O + Backup + Transfer

Example: db.r6g.xlarge, Multi-AZ, 500GB gp3
+-- Instance: $0.54/h x 730h x 2(Multi-AZ) = $788.40
+-- Storage: 500GB x $0.138/GB = $69.00
+-- Backup (excess): 100GB x $0.095/GB = $9.50
+-- Monthly total: ~$866.90

Per-environment Cost Optimization Strategies

EnvironmentStrategyExpected Savings
devBusiness hours only (12h/day, 5 days/week) = 36% uptime~60% savings
stagingSame as dev + smaller instances~70% savings
prodSavings Plan + Right-sizing + Auto-scaling~40% savings
Dev Environment Scheduling
hcl
# Lambda for auto start/stop of dev environment
resource "aws_cloudwatch_event_rule" "start_dev" {
  schedule_expression = "cron(0 0 ? * MON-FRI *)"  # Weekdays 09:00 KST
}
resource "aws_cloudwatch_event_rule" "stop_dev" {
  schedule_expression = "cron(0 12 ? * MON-FRI *)"  # Weekdays 21:00 KST
}

Cost Estimation Template

markdown
# Monthly Cost Estimate

## Architecture Summary
| Component | Specs | Quantity |

## Per-environment Costs
| Service | Dev | Staging | Prod | Total |
|---------|-----|---------|------|-------|
| EC2/ECS | | | | |
| RDS | | | | |
| ElastiCache | | | | |
| ALB | | | | |
| S3 | | | | |
| CloudWatch | | | | |
| Data Transfer | | | | |
| **Subtotal** | | | | |

## Optimization Applied
| Optimization | Savings |
|-------------|---------|
| Savings Plan (1 year) | |
| Dev env scheduling | |
| Right-sizing | |
| **Total savings** | |

## Final Cost
- Before optimization: $N/month
- After optimization: $N/month
- Savings rate: N%

FinOps Maturity Model

PhaseActivitiesTools
InformCost visibility, tagging, allocationAWS Cost Explorer, tag policies
OptimizeRight-sizing, reservations, spotCompute Optimizer, Trusted Advisor
OperateBudget alerts, automated actions, governanceAWS Budgets, Lambda auto-cleanup

© 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 en/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—~953Automated safety check: PassApache-2.0
Cloud Cost Optimizationwshobson/agents40k14 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-templates32k8 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 cost models, sizing guides, Reserved Instance/Savings Plan strategies, and FinOps framework guide. Cloud Cost Models is an agent skill from revfactory/harness-100. AWS/GCP/Azure cost models, sizing guides, Reserved Instance/Savings Plan strategies, and FinOps framework guide.

When should I use Cloud Cost Models?

Cloud Cost Models fits situations like: cost optimization; instance sizing; reserved instances; cost estimation.

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 (en/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 (en/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 953 tokens (SKILL.md is roughly 3.8k 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 1,293 GitHub stars. The repository holds 96 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.