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Exploratory Data Analysis

Checked
ovachiever·vlatest·data

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 ovachiever/droid-tings --skill exploratory-data-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

ovachiever

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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/exploratory-data-analysis/SKILL.md
Scanned
9 files, 4,784 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 performs exploratory data analysis (EDA) on datasets, generating visualizations and summaries to reveal patterns and insights. It can handle various file formats and produce descriptive statistics, histograms, scatter plots, and correlation matrices. The goal is to provide a comprehensive overview of the dataset's characteristics before further modeling or analysis.

When to use it

  • You have a new dataset and need to understand its structure and contents.
  • You want to identify potential outliers or anomalies within your data.
  • You are preparing data for machine learning models and need to assess feature distributions.
  • You're looking for relationships between different variables in the dataset.
  • You need a quick summary of key statistical properties of a dataset.

Key capabilities

  • Handles various file formats (unspecified)
  • Generates descriptive statistics
  • Creates histograms
  • Produces scatter plots
  • Calculates correlation matrices

Example prompts

  • "Perform exploratory data analysis on this CSV file and show me the key findings."
  • "Generate a histogram of the 'sales' column in my dataset."
  • "Create a scatter plot showing the relationship between 'price' and 'quantity'."

Tips & gotchas

The skill requires access to the dataset you want analyzed. Ensure the AI agent has appropriate permissions to read the data file.