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Cloud Cost Management

Listed
aj-geddes·vlatest·cloud·MIT

Optimizes cloud spending by identifying waste, suggesting resource adjustments, and forecasting future costs.

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 cloud-cost-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 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: aka.ms.

    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

    aka.msundeclared

    What it found

    • skills/cloud-cost-management/references/azure-cost-management.md:7contacts aka.ms
      curl -sL https://aka.ms/InstallAzureCLIDeb | bash

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/cloud-cost-management/references/azure-cost-management.md:7remote script piped into a shell
      curl -sL https://aka.ms/InstallAzureCLIDeb | bash

  • 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 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.

  • 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/cloud-cost-management/SKILL.md
Scanned
8 files, 543 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 analyze cloud infrastructure spending patterns and generate actionable recommendations for reducing expenses. It processes billing data to identify waste, such as idle resources or oversized instances, providing specific steps for optimization.

When to use it

  • Review monthly cloud bills to pinpoint unexpected cost spikes before they impact the budget.
  • Identify underutilized compute resources in development environments that can be shut down or resized.
  • Generate a report comparing current spending against historical trends to forecast future costs.
  • Automate the detection of orphaned storage volumes or unused load balancers across multiple accounts.

Key capabilities

  • Analyzes detailed cloud provider billing data for anomalies and inefficiencies.
  • Identifies specific resources contributing to high costs, such as idle VMs or excessive data transfer.
  • Provides structured recommendations with estimated savings potential for each optimization step.
  • Supports analysis across various major cloud platforms including AWS, Azure, and GCP.

Example prompts

  • "Analyze my last month's AWS bill and list the top five resources driving up costs."
  • "Identify any idle EC2 instances or S3 buckets that are incurring unnecessary charges."
  • "Compare our current cloud spend against last quarter and suggest three immediate actions to reduce expenses by 10%."

Tips & gotchas

Ensure your AI agent has read-only access to billing dashboards or exportable CSV reports from your cloud provider, as it cannot directly modify resources. Always verify the agent's recommendations with a human before implementing changes that might affect production workloads.