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Cost Optimization

Checked
aaaaqwq·vlatest·cloud·MIT

Reduces operational expenses by dynamically adjusting resource allocation based on real-time demand forecasts and pricing data.

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 aaaaqwq/agi-super-team --skill cost-optimization -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

aaaaqwq

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 aaaaqwq/claude-code-skills at 331ecd3c1d.

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

Scanned
1 file, 271 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 helps analyze and optimize cloud spending. It can identify areas of waste, suggest more efficient resource configurations, and generate reports on potential savings. The tool aims to reduce unnecessary costs associated with cloud infrastructure usage.

When to use it

  • You've noticed unexpectedly high cloud bills and need help understanding the charges.
  • You are provisioning new resources in a cloud environment and want to ensure cost-effectiveness from the start.
  • You’re regularly reviewing your cloud spending but lack the tools for detailed analysis and recommendations.
  • You want to automate the process of identifying potential cost savings opportunities.

Key capabilities

  • Cost analysis
  • Resource optimization suggestions
  • Savings report generation

Example prompts

  • "Analyze my AWS costs for the last month and identify areas where I can save money."
  • "Suggest more efficient configurations for my EC2 instances in Azure."
  • "Generate a report detailing potential cost savings from right-sizing my Google Cloud resources."

Tips & gotchas

The skill's effectiveness depends on access to your cloud provider’s billing data. Ensure appropriate permissions are granted to the AI agent to accurately analyze and provide recommendations.