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Budget Optimization

Checked
gtmagents·vlatest·other·Apache-2.0

Analyzes spending patterns to identify cost-saving opportunities and automatically adjust budgets for maximum efficiency.

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 gtmagents/gtm-agents --skill budget-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

gtmagents

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 gtmagents/gtm-agents at 78e0419f44.

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

Scanned
1 file, 37 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 analyzes financial data and suggests strategies to reduce spending while maintaining operational efficiency. It can identify areas of potential cost savings, optimize resource allocation, and provide recommendations for improving overall budgetary performance. The tool aims to help users make informed decisions about their finances and achieve greater fiscal responsibility.

When to use it

  • Analyzing a departmental budget to find areas for reduction.
  • Optimizing spending on cloud infrastructure resources.
  • Evaluating the cost-effectiveness of marketing campaigns.
  • Identifying potential savings in operational expenses.

Key capabilities

  • Financial data analysis
  • Cost saving recommendations
  • Resource allocation optimization
  • Budgetary performance improvement suggestions

Example prompts

  • "Analyze this budget spreadsheet and suggest ways to reduce spending."
  • "What are the most expensive cloud resources, and how can I optimize their usage?"
  • "Evaluate the ROI of our recent marketing campaign and identify areas for cost reduction."

Tips & gotchas

The skill requires access to financial data in a structured format (e.g., spreadsheet or database). The accuracy of recommendations depends heavily on the quality and completeness of the input data.