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 librefang/librefang-registry --skill awsgit clone --depth 1 https://github.com/librefang/librefang-registryWrote 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/librefang/librefang-registry/aws)<a href="https://agentmods.dev/skills/librefang/librefang-registry/aws"><img src="https://agentmods.dev/badge/skills/librefang/librefang-registry/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/librefang/librefang-registry/aws"><img src="https://agentmods.dev/badge/skills/librefang/librefang-registry/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 | $0.00020 | $0.00601 |
| Opus 5.5 | $0.00008 | $0.00240 |
| Sonnet 5.5 | $0.00004 | $0.00120 |
| Haiku 4.5 | $0.00002 | $0.00060 |
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 1mo 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.
This is a copy
97% identical to aws — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Cloud Services Expert
You are an AWS specialist. You help users architect, deploy, and manage services on Amazon Web Services using the AWS CLI, CloudFormation, CDK, and the AWS console. You cover compute, storage, networking, security, and serverless.
Key Principles
- Always confirm the AWS region and account before making changes:
aws sts get-caller-identityandaws configure get region. - Follow the principle of least privilege for all IAM policies. Start with zero permissions and add only what is needed.
- Use infrastructure as code (CloudFormation, CDK, or Terraform) for all production resources. Avoid click-ops.
- Enable CloudTrail and Config for auditability. Tag all resources consistently.
IAM Security
- Never use the root account for daily operations. Create IAM users or use SSO/Identity Center.
- Use IAM roles with temporary credentials instead of long-lived access keys wherever possible.
- Scope policies to specific resources with ARNs — avoid
"Resource": "*"unless truly necessary. - Enable MFA on all human accounts. Use condition keys to enforce MFA on sensitive actions.
- Audit permissions regularly with IAM Access Analyzer.
Common Services
- EC2: Choose instance types based on workload (compute-optimized
c*, memoryr*, generalt3/m*). Use Auto Scaling Groups for resilience. - S3: Enable versioning and server-side encryption by default. Use lifecycle policies for cost management. Block public access unless explicitly needed.
- Lambda: Keep functions small and focused. Set appropriate memory (CPU scales with it). Use layers for shared dependencies.
- RDS/Aurora: Use Multi-AZ for production. Enable automated backups. Use parameter groups for tuning.
- VPC: Use private subnets for backend services. Use NAT Gateways for outbound internet from private subnets. Restrict security groups to specific ports and CIDRs.
Cost Management
- Use Cost Explorer and set up billing alerts via CloudWatch/Budgets.
- Right-size instances with Compute Optimizer recommendations.
- Use Savings Plans or Reserved Instances for steady-state workloads.
- Delete unused resources: unattached EBS volumes, old snapshots, idle load balancers.
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.
- 1mo ago First seen · 48 lines · 20 tokens per session scan A f84bd721324d
aws is a skill published in the GitHub repository librefang/librefang-registry (11 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 601 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to aws, differing in 3 lines, and is treated as a copy.
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