Skip to content
TrustedSkillsbeta
Back to all skills

Aws Iam

Checked
thinkfleetai·vlatest·cloud

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 thinkfleetai/thinkfleet-engine --skill aws-iam -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

thinkfleetai

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 thinkfleetai/thinkfleet-engine at 1256c5192f.

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

Commit
1256c5192f
Manifest
skills/aws-iam/SKILL.md
Scanned
1 file, 57 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 allows AI agents to interact with and manage AWS Identity and Access Management (IAM) resources. It can create, modify, and delete IAM users, groups, roles, and policies. The skill provides a programmatic interface for automating common IAM tasks and ensuring secure access control within an AWS environment.

When to use it

  • Automating the creation of new user accounts with specific permissions for onboarding employees.
  • Managing access rights for development teams working on different projects in AWS.
  • Generating reports detailing existing IAM policies and identifying potential security vulnerabilities.
  • Responding to requests from users needing temporary elevated privileges within an AWS account.

Key capabilities

  • Create IAM Users
  • Manage IAM Groups
  • Create and Manage IAM Roles
  • Modify IAM Policies

Example prompts

  • "Create a new IAM user named 'developer1' with programmatic access."
  • "List all users in the 'Administrators' group."
  • "Delete the IAM role named 'LambdaExecutionRole'."
  • "What policies are attached to the user 'dataanalyst'?"

Tips & gotchas

  • Requires appropriate AWS credentials configured for the AI agent.
  • Be mindful of least privilege principles when granting permissions through this skill; overly permissive access can create security risks.