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Aws Cli

Listed
1mangesh1·vlatest·cloud

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

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 1mangesh1/dev-skills-collection --skill aws-cli -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

1mangesh1

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 2 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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: awscli.amazonaws.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

    awscli.amazonaws.comundeclared

    What it found

    • skills/aws-cli/SKILL.md:15contacts awscli.amazonaws.com
      curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
    • skills/aws-cli/references/AWS-CLI-BEST-PRACTICES.md:305contacts awscli.amazonaws.com
      curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
  • No credential access: failed

    Touches credential material in 4 places.

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

    What it found (3 of 4)

    • skills/aws-cli/SKILL.md:18AWS credentials file
      # Setup (stores in ~/.aws/credentials and ~/.aws/config)
    • skills/aws-cli/SKILL.md:30AWS credentials file
      # ~/.aws/config
    • skills/aws-cli/scripts/aws-profile-manager.sh:13AWS credentials file
      AWS_CREDS_FILE="${HOME}/.aws/credentials"
  • 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 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 1mangesh1/dev-skills-collection at 23e297e5a4.

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

Scanned
14 files, 1,591 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 AWS resources using the command line interface (CLI). It enables actions like listing EC2 instances, managing S3 buckets, and configuring IAM users directly through text commands. The agent can automate common AWS tasks and retrieve information about your cloud infrastructure.

When to use it

  • Automating Infrastructure Tasks: Create a new EC2 instance or terminate an existing one based on specific criteria.
  • Retrieving Cloud Resource Information: Get details about S3 bucket contents, including file sizes and last modified dates.
  • Managing AWS Credentials: Configure user access keys for programmatic access to AWS services.
  • Troubleshooting AWS Services: Diagnose issues by listing available resources and their status.

Key capabilities

  • AWS CLI command execution
  • Resource Listing (e.g., EC2 instances, S3 buckets)
  • Configuration Management (IAM users, credentials)
  • Information Retrieval (resource details, status)

Example prompts

  • "List all running EC2 instances in the us-east-1 region."
  • "Create a new S3 bucket named 'my-new-bucket' in the us-west-2 region."
  • "What is the current status of my RDS database instance?"

Tips & gotchas

  • Requires AWS CLI to be installed and configured on the system where the AI agent is running.
  • The agent needs appropriate IAM permissions to perform actions within your AWS account.