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Excel Variance Analyzer

Checked
jeremylongshore·vlatest·data·MIT

This skill automatically calculates and interprets variances in your Excel data, revealing key insights for informed decision-making.

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 jeremylongshore/tons-of-skills-marketplace --skill excel-variance-analyzer -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

jeremylongshore

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 jeremylongshore/claude-code-plugins-plus-skills at a7be181f58.

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

Scanned
5 files, 188 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 data in Excel spreadsheets and calculates variance. It can determine the variance of a single column or multiple columns within an Excel file, providing insights into data dispersion. The tool supports both sample and population variance calculations based on user specification.

When to use it

  • Financial Analysis: Calculate the volatility of stock prices recorded in an Excel sheet.
  • Scientific Research: Determine the variability within a dataset collected from experiments stored in a spreadsheet.
  • Quality Control: Assess the consistency of measurements taken during manufacturing processes, documented in Excel.
  • Statistical Reporting: Generate variance metrics for inclusion in reports based on data residing in an Excel file.

Key capabilities

  • Calculates sample variance.
  • Calculates population variance.
  • Supports multiple columns within a spreadsheet.
  • Handles data stored in Excel files.

Example prompts

  • "Calculate the population variance of column B in 'sales_data.xlsx'."
  • "What is the sample variance for columns A and C in my file named 'customer_survey.xls'?"
  • "Analyze 'production_metrics.csv' and give me the variance of the 'temperature' column, using the sample method."

Tips & gotchas

  • The skill requires a valid Excel (.xlsx or .xls) file as input. Ensure the file path is correct for proper processing.