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Rds

Checked
itsmostafa·vlatest·cloud·MIT

Rds extracts relevant information from lengthy texts, summarizing key details and saving you valuable time and effort.

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 itsmostafa/aws-agent-skills --skill rds -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

itsmostafa

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 itsmostafa/aws-agent-skills at e786d25128.

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

Commit
e786d25128
Manifest
skills/rds/SKILL.md
Scanned
2 files, 617 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

RDS Skill Guide

What it does

This skill enables AI agents to interact with Amazon Relational Database Service (RDS) instances. It allows the agent to perform database operations, manage connections, and execute queries directly within the AWS environment.

When to use it

  • Automating routine database maintenance tasks like backups or schema updates.
  • Executing complex SQL queries against production databases without manual intervention.
  • Monitoring RDS instance health metrics and retrieving performance data programmatically.
  • Deploying new database configurations or managing security groups for RDS clusters.

Key capabilities

  • Connects securely to Amazon RDS instances.
  • Executes read and write SQL operations.
  • Manages database lifecycle events.
  • Retrieves instance metadata and status information.

Example prompts

  • "Query the users table in my primary RDS instance and return the top 10 accounts by creation date."
  • "Run a backup script on the production RDS cluster and confirm completion."
  • "Check the current CPU utilization of all RDS instances in the us-east-1 region and alert if any exceed 80%."

Tips & gotchas

Ensure your AI agent has the necessary IAM permissions to access specific RDS resources before attempting operations. Always validate SQL queries generated by the agent in a sandbox environment before running them against production data to prevent accidental data loss.