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Data Stats Analysis

Checked
starlitnightly·vlatest·data·GPL-3.0

Helps with data, analysis as part of data analysis and analytics workflows workflows.

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 omicverse/omicverse --skill data-stats-analysis -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

starlitnightly

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 starlitnightly/omicverse at 450f4701f7.

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

Commit
450f4701f7
Manifest
.claude/skills/data-stats-analysis/SKILL.md
Scanned
1 file, 444 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 datasets and provides statistical insights. It can calculate descriptive statistics like mean, median, standard deviation, and create visualizations to help understand trends and patterns within the data. The skill is designed to assist with exploratory data analysis and generating reports based on numerical information.

When to use it

  • Analyzing sales figures to identify peak seasons or underperforming products.
  • Examining website traffic data to determine user behavior and optimize content.
  • Calculating key performance indicators (KPIs) from a spreadsheet of business metrics.
  • Summarizing survey results by calculating averages, percentages, and distributions.

Key capabilities

  • Descriptive statistics calculation (mean, median, standard deviation)
  • Data visualization generation
  • Trend identification within datasets
  • Report generation based on data analysis

Example prompts

  • "Calculate the average order value from this sales dataset."
  • "Create a bar chart showing website traffic by day of the week."
  • "What are the key trends in this customer satisfaction survey?"
  • “Summarize these KPI values into a report.”

Tips & gotchas

The skill requires numerical data as input. Ensure your data is properly formatted and clean for accurate analysis and meaningful results.