Aws Cloudformation Bedrock

CloudFormation patterns for Bedrock agents, knowledge bases, guardrails and data sources

Tested · Didn't pass

Test report

Verdict
Tested · Didn't pass
Tested
Jul 31, 2026
Environment
Claude Code 2.x (agent harness)
Upstream re-checked
Aug 10, 2026 · 08b09f0

Fetched SKILL.md and all 3 reference files (constraints/reference/examples.md, all HTTP 200); frontmatter parses with name+description, no scripts or hardcoded paths, no security smells. Trigger phrasings judged (3 load / 2 skip): SHOULD — "Write a CloudFormation template for a Bedrock agent with a knowledge base for RAG"; "Add a CloudFormation Bedrock Guardrail to moderate content and anonymize PII"; "Set up a Bedrock knowledge base with an S3 data source via CFN". SHOULD NOT — "Write a Terraform module for a Bedrock agent" (not CloudFormation); "Call the Bedrock InvokeModel API from Python boto3" (SDK, not IaC). All 5 correct. OUTPUT: installed cfn-lint 1.53.3 in a venv and linted the skill's own examples verbatim. Its "Guardrail with Content Filtering" example produced 6 errors (all camelCase blocks rejected — CloudFormation needs PascalCase), and its headline "Minimal RAG Agent" complete template produced 3 errors (FoundationModelArn invalid, must be FoundationModel; DataSource top-level Type: S3 misplaced). A baseline guardrail template with correct PascalCase names linted clean (exit 0). PROFANITY is also not a valid filter type. The skill's shipped "production-ready" templates do not pass static validation, so following it strictly yields worse output than baseline.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

  • Installs cleanly 5/5
  • Triggers reliably 5/5
  • Output vs. baseline 3/10
  • Docs & honesty 2/5

What Aws Cloudformation Bedrock does

Supplies AWS CloudFormation YAML patterns for Amazon Bedrock resources: agents, knowledge bases for RAG, S3 data sources, content guardrails, action groups, and IAM roles. Triggers when writing infrastructure-as-code for Bedrock — creating agents, wiring RAG knowledge bases, or configuring guardrails. Ships a structured scaffold plus reference files, but several example templates use incorrect property names that fail CloudFormation validation as-shipped.

How to install Aws Cloudformation Bedrock

git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit.git /tmp/aws-cloudformation-bedrock-src
mkdir -p ~/.claude/skills
cp -R /tmp/aws-cloudformation-bedrock-src/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock ~/.claude/skills/aws-cloudformation-bedrock
# SKILL.md + references/{constraints,reference,examples}.md. No scripts, no external deps.
# Templates it emits need correcting before deploy: AWS::Bedrock::Agent uses FoundationModel (not FoundationModelArn);
# AWS::Bedrock::DataSource type goes under DataSourceConfiguration.Type (no top-level Type); guardrail props are PascalCase
# (ContentPolicyConfig/FiltersConfig, not camelCase); PROFANITY is not a valid filter type. Verify with: pip install cfn-lint && cfn-lint tpl.yaml

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger Aws Cloudformation Bedrock

  • /aws-cloudformation-bedrock CloudFormation patterns for Bedrock agents, knowledge bases, guardrails and data sources

It also activates on plain-language prompts like these:

  • Create a CloudFormation stack for a Bedrock agent
  • Configure a knowledge base with a vector store
  • Set up content moderation guardrails for Bedrock

Frequently asked questions

Is the Aws Cloudformation Bedrock skill free?
Yes. The skill itself is free from giuseppe-trisciuoglio/developer-kit. SkillProof publishes the install command and an independent test verdict at no cost.
Does Aws Cloudformation Bedrock work with Claude Code?
We tested it with Claude Code 2.x (agent harness) on Jul 31, 2026. Verdict: Tested · Didn't pass. Fetched SKILL.md and all 3 reference files (constraints/reference/examples.md, all HTTP 200); frontmatter parses with name+description, no scripts or hardcoded paths, no security smells. Trigger phrasings judged (3 load / 2 skip): SHOULD — "Write a CloudFormation template for a Bedrock agent with a knowledge base for RAG"; "Add a CloudFormation Bedrock Guardrail to moderate content and anonymize PII"; "Set up a Bedrock knowledge base with an S3 data source via CFN". SHOULD NOT — "Write a Terraform module for a Bedrock agent" (not CloudFormation); "Call the Bedrock InvokeModel API from Python boto3" (SDK, not IaC). All 5 correct. OUTPUT: installed cfn-lint 1.53.3 in a venv and linted the skill's own examples verbatim. Its "Guardrail with Content Filtering" example produced 6 errors (all camelCase blocks rejected — CloudFormation needs PascalCase), and its headline "Minimal RAG Agent" complete template produced 3 errors (FoundationModelArn invalid, must be FoundationModel; DataSource top-level Type: S3 misplaced). A baseline guardrail template with correct PascalCase names linted clean (exit 0). PROFANITY is also not a valid filter type. The skill's shipped "production-ready" templates do not pass static validation, so following it strictly yields worse output than baseline.
How do I install Aws Cloudformation Bedrock?
Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use Aws Cloudformation Bedrock with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.