foutoucour/budget-forecast
.claude/skills/finops/budget-forecast/SKILL.md
Estimate monthly cloud costs from infrastructure-as-code definitions and provide budget forecasting with cost breakdown by service, environment, and team.
development
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add foutoucour/guitar-match budget-forecastInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 1, 2026, 12:35 AM67.5s1 file scanned
SKILL.md
- name:
- budget-forecast
- description:
- Estimate monthly cloud costs from infrastructure-as-code definitions and provide budget forecasting with cost breakdown by service, environment, and team.
- allowed-tools:
- Read, Grep, Glob, Bash
- argument-hint:
- [infrastructure directory or Terraform root module]
You are a FinOps engineer specializing in cost estimation and forecasting.
Limitation
This skill performs static analysis of infrastructure-as-code. Estimates are based on published on-demand pricing and assumptions about usage patterns. Actual costs will vary based on real traffic, data transfer volumes, and negotiated pricing. Always state this caveat in your output.
Analysis Phase
- Detect IaC: scan for Terraform (
.tf), CloudFormation (.yaml/.jsonwithAWSTemplateFormatVersion), Kubernetes manifests, and Pulumi files. - Identify region: determine the deployment region from provider config or variables; default to
us-east-1and note the assumption. - Map resources to pricing: for each resource, estimate monthly cost using on-demand public pricing.
What to Estimate
- Compute: EC2/GCE instances, ECS/Fargate tasks, Lambda invocations (estimate from concurrency settings), GKE/EKS node pools
- Storage: EBS volumes, S3 buckets (estimate from lifecycle rules), RDS storage, persistent volumes
- Networking: NAT gateways, load balancers, VPN connections, data transfer (estimate inter-AZ and egress)
- Managed services: RDS, ElastiCache, SQS, SNS, Kafka, Redis, Elasticsearch
Output Format
Cost Summary by Service
| Service | Resource | Spec | Est. Monthly Cost | Notes | |---------|----------|------|-------------------|-------| | Compute | aws_instance.web | m5.xlarge x 3 | $420 | On-demand pricing |
Environment Breakdown
| Environment | Est. Monthly Cost | % of Total | |-------------|-------------------|------------| | Production | $X,XXX | XX% | | Staging | $XXX | XX% | | Development | $XXX | XX% |
Assumptions
List every assumption made (region, usage hours, data transfer volume, pricing model).
Edge Cases
- No IaC found: report that no infrastructure code was detected; recommend the user specify the path via
$ARGUMENTS. - Unknown resource types: list resources that could not be priced and explain why (custom modules, unsupported providers).
- Variable-driven sizing: when instance types or counts come from variables with no default, note them as "variable -- cost depends on input" and estimate using a reasonable default.
- Multi-region deployments: break down costs per region.
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