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Aws Iam

Checked
bagelhole·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 bagelhole/devops-security-agent-skills --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

bagelhole

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 bagelhole/devops-security-agent-skills at 0365f57a07.

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

Commit
0365f57a07
Manifest
infrastructure/cloud-aws/aws-iam/SKILL.md
Scanned
1 file, 430 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, enabling automated security management tasks within an AWS environment. The agent can also retrieve information about existing IAM configurations for auditing or reporting purposes.

When to use it

  • Automated User Provisioning: Automatically create new IAM users with specific permissions when a new employee joins the company.
  • Policy Enforcement: Ensure that all IAM policies adhere to organizational security standards by automatically reviewing and correcting deviations.
  • Role Management: Create and update IAM roles for applications accessing AWS resources, simplifying application deployment and access control.
  • Security Auditing: Generate reports on existing IAM configurations to identify potential vulnerabilities or misconfigurations.

Key capabilities

  • Create IAM users
  • Modify IAM user permissions
  • Delete IAM users
  • Manage IAM groups
  • Create and manage IAM roles
  • Generate IAM policies

Example prompts

  • "Create a new IAM user named 'developer1' with programmatic access."
  • "List all IAM roles in the 'production' AWS account."
  • "Remove read-only access from the 'data-analyst' group to S3 bucket 'logs'."

Tips & gotchas

Requires proper authentication credentials configured for the AI agent to interact with your AWS environment. Be cautious when modifying existing policies, as incorrect changes can disrupt application functionality or compromise security.