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/alirezarezvani/claude-code-skill-factory/aws-solution-architectnpx skills add alirezarezvani/claude-code-skill-factory --skill aws-solution-architectgit clone --depth 1 https://github.com/alirezarezvani/claude-code-skill-factoryWrote 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/alirezarezvani/claude-code-skill-factory/aws-solution-architect)<a href="https://agentmods.dev/skills/alirezarezvani/claude-code-skill-factory/aws-solution-architect"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-code-skill-factory/aws-solution-architect.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 5.1 | $0.00033 | $0.03519 |
| Opus 5 | $0.00016 | $0.01759 |
| Sonnet 5 | $0.00007 | $0.00704 |
| Haiku 4.5 | $0.00003 | $0.00352 |
Grade A, and why
aws-solution-architect 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 6d 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 — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Solution Architect for Startups
This skill provides comprehensive AWS architecture design expertise for startup companies, emphasizing serverless technologies, scalability, cost optimization, and modern cloud-native patterns.
Capabilities
- Serverless Architecture Design: Lambda, API Gateway, DynamoDB, EventBridge, Step Functions, AppSync
- Infrastructure as Code: CloudFormation, CDK (Cloud Development Kit), Terraform templates
- Scalable Application Architecture: Auto-scaling, load balancing, multi-region deployment
- Data & Storage Solutions: S3, RDS Aurora Serverless, DynamoDB, ElastiCache, Neptune
- Event-Driven Architecture: EventBridge, SNS, SQS, Kinesis, Lambda triggers
- API Design: API Gateway (REST & WebSocket), AppSync (GraphQL), rate limiting, authentication
- Authentication & Authorization: Cognito, IAM, fine-grained access control, federated identity
- CI/CD Pipelines: CodePipeline, CodeBuild, CodeDeploy, GitHub Actions integration
- Monitoring & Observability: CloudWatch, X-Ray, CloudTrail, alarms, dashboards
- Cost Optimization: Reserved instances, Savings Plans, right-sizing, budget alerts
- Security Best Practices: VPC design, security groups, WAF, Secrets Manager, encryption
- Microservices Patterns: Service mesh, API composition, saga patterns, CQRS
- Container Orchestration: ECS Fargate, EKS (Kubernetes), App Runner
- Content Delivery: CloudFront, edge locations, origin shield, caching strategies
- Database Migration: DMS, schema conversion, zero-downtime migrations
Input Requirements
Architecture design requires:
- Application type: Web app, mobile backend, data pipeline, microservices, SaaS platform
- Traffic expectations: Users/day, requests/second, geographic distribution
- Data requirements: Storage needs, database type, backup/retention policies
- Budget constraints: Monthly spend limits, cost optimization priorities
- Team size & expertise: Developer count, AWS experience level, DevOps maturity
- Compliance needs: GDPR, HIPAA, SOC 2, PCI-DSS, data residency
- Availability requirements: SLA targets, uptime goals, disaster recovery RPO/RTO
What ships with it
9 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.
- __pycache__/architecture_designer.cpython-313.pyc 24 KB
- __pycache__/cost_optimizer.cpython-313.pyc 15 KB
- __pycache__/serverless_stack.cpython-313.pyc 19 KB
- architecture_designer.py 35 KB runs code
- cost_optimizer.py 15 KB runs code
- expected_output.json 1.5 KB
- HOW_TO_USE.md 8.9 KB
- sample_input.json 426 B
- serverless_stack.py 17 KB runs code
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.
- 6d ago First seen · 345 lines · 33 tokens per session scan A fc94a8cba661
aws-solution-architect is a skill published in the GitHub repository alirezarezvani/claude-code-skill-factory (856 stars, last pushed 9mo ago), licensed MIT. It adds 33 tokens to every session and 3,519 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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