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 skills add G1Joshi/Agent-Skills --skill awsgit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/aws)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/aws"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/aws/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/g1joshi/agent-skills/aws"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/aws.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00025 | $0.00375 |
| Opus 5 | $0.00013 | $0.00187 |
| Sonnet 5 | $0.00005 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
aws 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.
What it actually says
AWS
Amazon Web Services (AWS) is the dominant cloud platform. In 2025, the focus is heavily on Generative AI (Bedrock, Q, Trainium chips) and Serverless Data (Aurora Limitless).
When to Use
- Enterprise: The default choice for large-scale, compliant infrastructure.
- AI/ML: Amazon SageMaker and Bedrock provide the deepest toolset for training and inference.
- Serverless: Lambda + DynamoDB + API Gateway is the canonical serverless stack.
Core Concepts
VPC (Virtual Private Cloud)
Your isolated network. Subnets, Route Tables, Internet Gateways. Understanding networking is mandatory.
IAM (Identity and Access Management)
Global service for permissions. "Deny by default". Use Roles for services, not access keys.
Compute
- EC2: Virtual Machines.
- ECS/EKS: Containers (Docker/K8s).
- Lambda: Function-as-a-Service.
Best Practices (2025)
Do:
- Use AWS Organizations: Separate Prod, Staging, and Dev into different Accounts, not just VPCs. Limits blast radius.
- Use CDK / Terraform: Never click in the console for production resources.
- Cost Control: Enable Cost Explorer and set up Budgets/Alerts on day one.
Don't:
- Don't use Public Subnets for Apps: Put your EC2s/RDS in Private Subnets. Only Load Balancers go in Public Subnets.
References
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 · 47 lines · 25 tokens per session scan A 668f2197b9be
aws is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 25 tokens to every session and 375 once invoked, about $0.0001 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 2026-09-03.
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