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 williamzujkowski/standards --skill aws-advancedgit clone --depth 1 https://github.com/williamzujkowski/standardsWrote 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/williamzujkowski/standards/aws-advanced)<a href="https://agentmods.dev/skills/williamzujkowski/standards/aws-advanced"><img src="https://agentmods.dev/badge/skills/williamzujkowski/standards/aws-advanced/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/williamzujkowski/standards/aws-advanced"><img src="https://agentmods.dev/badge/skills/williamzujkowski/standards/aws-advanced.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 | $0.00012 | $0.02421 |
| Opus 5.5 | $0.00005 | $0.00968 |
| Sonnet 5.5 | $0.00002 | $0.00484 |
| Haiku 4.5 | $0.00001 | $0.00242 |
Grade A, and why
aws-advanced-patterns 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 yesterday.
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 — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Advanced Patterns
Master advanced AWS serverless architectures, event-driven patterns, and enterprise-grade cloud solutions.
Level 1: Quick Reference
AWS Advanced Services Overview
Orchestration & Events:
- Step Functions: State machine orchestration for complex workflows
- EventBridge: Serverless event bus for event-driven architectures
- Lambda Layers: Shared code and dependencies across functions
Data & Storage:
- DynamoDB Advanced: Single-table design, streams, global tables
- S3 Advanced: Event notifications, object lifecycle, intelligent tiering
Integration:
- API Gateway Advanced: Custom authorizers, usage plans, WebSocket APIs
- SQS/SNS Patterns: FIFO queues, DLQ, fan-out, message filtering
Observability:
- CloudWatch: Custom metrics, composite alarms, insights
- X-Ray: Distributed tracing, service maps, annotations
Common Patterns Quick Reference
# Event-Driven Architecture
Pattern: Publisher → EventBridge → Subscribers
Use Case: Microservices decoupling, cross-account events
Key Services: EventBridge, Lambda, SQS
# Orchestrated Workflow
Pattern: API → Step Functions → Lambda/Services
Use Case: Multi-step processes, saga pattern, ETL
Key Services: Step Functions, Lambda, DynamoDB
# Fan-Out Processing
Pattern: SNS Topic → Multiple SQS Queues → Lambda
Use Case: Parallel processing, multi-tenant systems
Key Services: SNS, SQS, Lambda
# CQRS Pattern
Pattern: Write DB → DynamoDB Streams → Read DB
Use Case: Read/write separation, materialized views
Key Services: DynamoDB Streams, Lambda, ElastiCache
# Saga Pattern
Pattern: Step Functions → Compensating Transactions
Use Case: Distributed transactions, rollback logic
Key Services: Step Functions, Lambda, DynamoDB
Essential Checklist
Security:
- IAM least privilege policies (resource-level permissions)
- Secrets Manager for credentials (automatic rotation)
- VPC endpoints for private connectivity
- Encryption at rest and in transit
- WAF rules for API Gateway
What ships with it
10 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.
- REFERENCE.md 28 KB
- scripts/cost-optimization.py 19 KB runs code
- templates/custom-authorizer.js 6.4 KB runs code
- templates/dynamodb-single-table.yaml 4.6 KB
- templates/eventbridge-patterns.json 8.8 KB
- templates/lambda-layer-structure/nodejs/build.sh 247 B runs code
- templates/lambda-layer-structure/nodejs/package.json 388 B
- templates/lambda-layer-structure/python/build.sh 1.3 KB runs code
- templates/lambda-layer-structure/python/requirements.txt 335 B
- templates/step-functions-state-machine.json 11 KB
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.
- yesterday First seen · 392 lines · 12 tokens per session scan A 684a7b7ac3f8
aws-advanced-patterns is a skill published in the GitHub repository williamzujkowski/standards (18 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 2,421 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-09-29.
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