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Statistics Math

Checked
pluginagentmarketplace·vlatest·data

This skill performs calculations and analyzes statistical data, providing valuable insights for research, problem-solving, and informed decision-making.

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 pluginagentmarketplace/custom-plugin-data-engineer --skill statistics-math -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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-data-engineer at 0322b7c023.

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

Commit
0322b7c023
Manifest
skills/statistics-math/SKILL.md
Scanned
6 files, 664 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

The statistics-math skill enables AI agents to perform complex mathematical operations and statistical analysis directly within their workflow. It provides the computational engine necessary for data-driven decision-making, allowing agents to calculate metrics, analyze distributions, and derive insights from numerical datasets.

When to use it

  • Analyzing survey results to determine mean, median, and standard deviation for customer feedback reports.
  • Calculating probability distributions or confidence intervals for risk assessment models.
  • Processing large sets of numerical data to identify trends, outliers, or correlations in business metrics.
  • Validating hypotheses by running statistical tests like t-tests or chi-square analyses on experimental data.

Key capabilities

  • Execution of advanced mathematical formulas and functions.
  • Statistical analysis including descriptive statistics and inferential testing.
  • Data processing and manipulation for quantitative research.
  • Integration with data engineering workflows for automated calculations.

Example prompts

  • "Calculate the 95% confidence interval for the average response time based on this dataset of server logs."
  • "Run a t-test to compare the performance metrics between Group A and Group B in our clinical trial results."
  • "Determine the standard deviation and coefficient of variation for monthly sales figures over the last fiscal year."

Tips & gotchas

Ensure your input data is clean and formatted correctly, as statistical accuracy depends heavily on data quality. This skill requires numerical inputs; it cannot process unstructured text without prior data extraction steps.