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Bedrock

Checked
itsmostafa·vlatest·cloud·MIT

Bedrock generates creative text formats like poems, code, scripts, musical pieces, email, letters, etc., offering versatile content creation.

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 itsmostafa/aws-agent-skills --skill bedrock -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

itsmostafa

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 itsmostafa/aws-agent-skills at e786d25128.

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

Commit
e786d25128
Manifest
skills/bedrock/SKILL.md
Scanned
2 files, 1,014 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 Bedrock skill enables AI agents to interact directly with Amazon Web Services (AWS) infrastructure, allowing them to provision resources and manage cloud environments autonomously. It serves as a bridge between agent logic and AWS APIs, facilitating tasks like server deployment and data storage without manual intervention.

When to use it

  • Automating the creation of EC2 instances or S3 buckets for new projects.
  • Scaling cloud infrastructure dynamically based on real-time demand metrics.
  • Managing IAM roles and permissions to ensure secure agent access to AWS services.
  • Performing routine maintenance tasks like snapshotting databases or cleaning up unused resources.

Key capabilities

  • Direct integration with the AWS API suite for resource management.
  • Autonomous provisioning of compute, storage, and networking components.
  • Execution of complex multi-step cloud workflows defined by agent logic.

Example prompts

  • "Provision a new EC2 instance in us-east-1 with 4GB of RAM and attach an EBS volume."
  • "Create an S3 bucket named 'project-data' with versioning enabled and public read access disabled."
  • "Spin up a VPC with two subnets and configure a NAT gateway for internet access."

Tips & gotchas

Ensure your AI agent has valid AWS credentials with the necessary IAM permissions before attempting to execute infrastructure changes. Be cautious of costs associated with automatically provisioned resources, as agents may inadvertently create expensive services if not properly constrained by guardrails or cost limits.