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Aws Agentic Ai

Listed
zxkane·vlatest·cloud·MIT

Helps with AWS, AI as part of deploying and managing cloud infrastructure workflows.

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 zxkane/aws-skills --skill aws-agentic-ai -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

zxkane

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: bedrock-agentcore.us-west-2.amazonaws.com, cognito-idp.us-east-1.amazonaws.com, www.googleapis.com.

    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.

    Hosts contacted

    cognito-idp.us-east-1.amazonaws.comundeclaredwww.googleapis.comundeclared127.0.0.1localbedrock-agentcore.us-west-2.amazonaws.comundeclared

    What it found

    • plugins/aws-agentic-ai/skills/aws-agentic-ai/references/agentcore-oauth-integration.md:298contacts cognito-idp.us-east-1.amazonaws.com
      TOKEN=$(curl -s -X POST "https://cognito-idp.us-east-1.amazonaws.com/" \
    • plugins/aws-agentic-ai/skills/aws-agentic-ai/references/agentcore-runtime-deploy.md:452contacts www.googleapis.com
      return requests.get("https://www.googleapis.com/drive/v3/files",
    • plugins/aws-agentic-ai/skills/aws-agentic-ai/references/agentcore-runtime-protocols.md:492contacts bedrock-agentcore.us-west-2.amazonaws.com
      curl "https://bedrock-agentcore.us-west-2.amazonaws.com/runtimes/${ESCAPED_ARN}/invocations/.well-known/agent-card.json" \

  • 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 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 zxkane/aws-skills at 68530c6f29.

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

Commit
68530c6f29
Manifest
plugins/aws-agentic-ai/skills/aws-agentic-ai/SKILL.md
Scanned
31 files, 10,148 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

What it does

This skill enables AI agents to discover and install capabilities specifically designed for interacting with AWS cloud environments. It streamlines the setup process, allowing autonomous agents to quickly equip themselves with necessary tools for cloud management tasks.

When to use it

  • Automating the onboarding of new AI agents into existing AWS infrastructure projects.
  • Dynamically equipping agents with specific AWS tooling before assigning complex deployment missions.
  • Extending an agent's operational scope by adding specialized cloud skills without manual intervention.
  • Standardizing the skill set across a fleet of agents working within the same AWS account.

Key capabilities

  • Discovery of available AWS-focused AI agent skills.
  • Installation and configuration of these skills directly into the agent environment.
  • Integration with the broader zxkane/aws-skills registry ecosystem.

Example prompts

  • "Install the aws-agentic-ai skill so I can deploy resources automatically."
  • "Discover what AWS-related skills are available for my cloud automation workflow."
  • "Equip this agent with necessary AWS capabilities to manage our S3 buckets."

Tips & gotchas

Ensure your AI agent has appropriate IAM permissions within AWS before attempting to install or use these skills, as the installation process may trigger resource creation. Verify that the zxkane/aws-skills registry is up to date to access the latest available tools.