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Aws S3 Management

Checked
aj-geddes·vlatest·cloud·MIT

Helps with AWS, management 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 aj-geddes/useful-ai-prompts --skill aws-s3-management -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/aws-s3-management/SKILL.md
Scanned
7 files, 478 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 aws-s3-management skill enables AI agents to interact directly with Amazon S3 buckets, allowing them to list objects, retrieve files, and manage storage operations programmatically. It streamlines cloud workflows by letting agents handle data retrieval and organization without manual API intervention.

When to use it

  • Automating the backup of critical logs from an S3 bucket to a secure archive location.
  • Retrieving specific configuration files stored in public buckets for deployment scripts.
  • Listing all objects in a development bucket to verify successful data uploads after a build process.
  • Managing temporary file storage by deleting obsolete assets once a CI/CD pipeline completes.

Key capabilities

  • List objects within specified S3 buckets and prefixes.
  • Retrieve file contents from public or pre-authenticated private buckets.
  • Delete specific objects or entire folders to clean up storage.
  • Filter results based on object keys, sizes, or last modified dates.

Example prompts

  • "List all JSON configuration files in the prod-configs bucket and display their names."
  • "Retrieve the contents of the file deployment.yaml from our staging S3 bucket."
  • "Delete all objects older than 30 days from the temp-build-artifacts folder to free up space."

Tips & gotchas

Ensure your AI agent has valid AWS credentials with appropriate IAM permissions (e.g., s3:ListBucket, s3:GetObject) before attempting these operations. Be cautious when using delete commands on production buckets, as the skill may not support soft deletes or versioning recovery without additional configuration.