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Aws Serverless Eda

Checked
langbaseinc·vlatest·cloud·MIT

Helps with AWS, serverless 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 commandcodeai/agent-skills --skill aws-serverless-eda -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

langbaseinc

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 langbaseinc/agent-skills at f490dd9016.

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

Commit
f490dd9016
Manifest
skills/aws-serverless-eda/SKILL.md
Scanned
7 files, 5,166 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 enables AI agents to interact with and analyze data stored in AWS serverless environments. It facilitates querying, transformation, and visualization of data using tools like Athena and QuickSight. The agent can generate SQL queries for Athena and create dashboards within QuickSight based on user requests.

When to use it

  • Analyzing website traffic data stored in S3 and queried via Athena.
  • Creating interactive dashboards in QuickSight to monitor key business metrics from serverless applications.
  • Generating ad-hoc reports using SQL queries against data residing in AWS data lakes.
  • Troubleshooting performance issues by querying logs stored in S3 and analyzed with Athena.

Key capabilities

  • Athena query generation (SQL)
  • QuickSight dashboard creation
  • Data visualization
  • Serverless environment interaction

Example prompts

  • "Generate a SQL query to find the average session duration for users from California."
  • "Create a QuickSight dashboard showing daily active users over the last 30 days."
  • "Show me a graph of error rates by region using data in S3."

Tips & gotchas

The agent requires appropriate AWS credentials and permissions to access Athena and QuickSight resources. Ensure these are configured correctly for optimal functionality.