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Aws Cloudformation Bedrock

Checked
giuseppe-trisciuoglio·vlatest·cloud·MIT

Provides AWS guidance and assistance for deploying and managing cloud infrastructure.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock --full-depth -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

giuseppe-trisciuoglio

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned giuseppe-trisciuoglio/developer-kit at fe73fb33a0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
fe73fb33a0
Manifest
plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock/SKILL.md
Scanned
4 files, 3,061 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The aws-cloudformation-bedrock skill enables AI agents to programmatically provision AWS Bedrock resources using AWS CloudFormation templates. It automates the creation and management of foundational models, knowledge bases, and vector search configurations without manual console interaction.

When to use it

  • Deploying multiple isolated Bedrock environments for different tenants or projects simultaneously.
  • Automating infrastructure updates when new model versions or parameter requirements are released.
  • Ensuring consistent resource configuration across development, staging, and production accounts via Infrastructure as Code (IaC).
  • Integrating with CI/CD pipelines to trigger automated provisioning of AI inference stacks upon code commits.

Key capabilities

  • Parses and executes AWS CloudFormation templates specifically tailored for Bedrock services.
  • Manages resources such as Knowledge Bases, Vector Search indexes, and Model Invocation configurations.
  • Handles IAM roles and policies required for secure agent access to Bedrock APIs.
  • Supports rollback mechanisms if template deployments fail or cause service disruptions.

Example prompts

  • "Provision a new AWS Bedrock Knowledge Base using the provided CloudFormation template with my S3 bucket as the data source."
  • "Update the inference configuration for our existing model group to use the latest Titan Embeddings V2 parameters defined in the IaC file."
  • "Deploy a secure Bedrock agent environment with restricted IAM permissions based on this CloudFormation stack specification."

Tips & gotchas

Ensure your AWS account has the necessary CloudFormation and Bedrock service-linked roles attached before attempting deployment. Template syntax must strictly adhere to AWS CloudFormation standards; minor formatting errors can cause entire stack failures.