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 giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrockgit clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kitWrote 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/giuseppe-trisciuoglio/developer-kit/aws-cloudformation-bedrock)<a href="https://agentmods.dev/skills/giuseppe-trisciuoglio/developer-kit/aws-cloudformation-bedrock"><img src="https://agentmods.dev/badge/skills/giuseppe-trisciuoglio/developer-kit/aws-cloudformation-bedrock/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/giuseppe-trisciuoglio/developer-kit/aws-cloudformation-bedrock"><img src="https://agentmods.dev/badge/skills/giuseppe-trisciuoglio/developer-kit/aws-cloudformation-bedrock.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.02939 |
| Opus 5 | $0.00041 | $0.01470 |
| Sonnet 5 | $0.00016 | $0.00588 |
| Haiku 4.5 | $0.00008 | $0.00294 |
Grade A, and why
aws-cloudformation-bedrock 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 9d 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 — 406 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS CloudFormation Amazon Bedrock
Overview
Creates production-ready AI infrastructure using AWS CloudFormation templates for Amazon Bedrock. Covers Bedrock agents, knowledge bases for RAG implementations, data source connectors, guardrails for content moderation, prompt management, workflow orchestration with flows, and inference profiles for optimized model access.
When to Use
- Creating Bedrock agents with action groups
- Implementing RAG with knowledge bases
- Configuring S3 or web crawl data sources
- Setting up content moderation guardrails
- Managing prompt templates
- Orchestrating AI workflows with Bedrock Flows
- Configuring inference profiles for multi-model access
- Organizing templates with Parameters and cross-stack references
Instructions
1. Define Parameters
Parameters:
FoundationModel:
Type: String
Default: anthropic.claude-3-sonnet-20240229-v1:0
AllowedValues:
- anthropic.claude-3-sonnet-20240229-v1:0
- anthropic.claude-3-haiku-20240307-v1:0
- amazon.titan-text-express-v1
Description: Foundation model for agent
2. Create Agent Role
Resources:
AgentRole:
Type: AWS::IAM::Role
Properties:
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal:
Service: bedrock.amazonaws.com
Action: sts:AssumeRole
Policies:
- PolicyName: BedrockPermissions
PolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Action:
- bedrock:InvokeModel
Resource: !Sub "arn:aws:bedrock:${AWS::Region}:${AWS::AccountId}:foundation-model/${FoundationModel}"
3. Create Agent
BedrockAgent:
Type: AWS::Bedrock::Agent
Properties:
AgentName: !Sub "${AWS::StackName}-agent"
AgentResourceRoleArn: !GetAtt AgentRole.Arn
FoundationModelArn: !Sub "arn:aws:bedrock:${AWS::Region}::foundation-model/${FoundationModel}"
AutoPrepare: true
Instruction: |
You are a helpful assistant. Use the knowledge base to answer questions.
What ships with it
3 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.
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.
- 9d ago First seen · 406 lines · 81 tokens per session scan A 5cc298affd97
aws-cloudformation-bedrock is a skill published in the GitHub repository giuseppe-trisciuoglio/developer-kit (343 stars, last pushed 21d ago), licensed MIT. It adds 81 tokens to every session and 2,939 once invoked, about $0.0004 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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