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Cost Optimization

Checked
wshobson·vlatest·cloud·MIT

Analyzes resource usage and suggests adjustments to minimize operational costs while maintaining performance levels.

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 wshobson/agents --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

wshobson

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 wshobson/agents at 46891e7e60.

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

Commit
46891e7e60
Manifest
plugins/cloud-infrastructure/skills/cost-optimization/SKILL.md
Scanned
2 files, 320 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

The cost-optimization skill helps identify and implement strategies to reduce expenses in AI agent operations. It analyzes resource usage, identifies inefficiencies, and suggests cost-effective alternatives for infrastructure, workflows, and tools.

When to use it

  • You're managing a budget for AI agent deployments and want to minimize costs without sacrificing performance.
  • Your AI agents are using excessive computational resources or cloud services.
  • You need recommendations on cheaper alternatives for tools or platforms currently in use.

Key capabilities

  • Analyzes resource consumption patterns of AI agents.
  • Identifies redundant or underutilized components in workflows.
  • Recommends cost-effective infrastructure and tooling options.

Example prompts

  • "How can I reduce the cloud costs associated with my AI agent?"
  • "What are cheaper alternatives to the current tools I'm using for my AI agent?"
  • "Can you audit my AI agent's resource usage and suggest optimizations?"

Tips & gotchas

  • Ensure your AI agent’s usage data is up-to-date for accurate analysis.
  • Some cost-saving recommendations may require changes to workflows or infrastructure, so evaluate trade-offs carefully.