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Ydata Profiling

Checked
vamseeachanta·vlatest·testing

Ydata Profiling analyzes datasets to reveal data types, distributions, and missing values – crucial for understanding & preparing your data effectively.

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 vamseeachanta/workspace-hub --skill ydata-profiling -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

vamseeachanta

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 vamseeachanta/workspace-hub at 5190ace4e5.

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

Commit
5190ace4e5
Manifest
_archive/skills/data-analysis/ydata-profiling/SKILL.md
Scanned
4 files, 1,667 lines
Copies in repo
3 — all of them scanned
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

The ydata-profiling skill provides automated data profiling capabilities, generating comprehensive reports on datasets. It analyzes tabular data to identify potential issues like missing values, incorrect data types, and unusual distributions. This helps users quickly understand their data's characteristics without manual inspection.

When to use it

  • Data Exploration: Before building machine learning models or performing in-depth analysis, use this skill to get a quick overview of your dataset.
  • Data Quality Assessment: Identify potential data quality issues like missing values or outliers that need addressing before further processing.
  • Feature Engineering Ideas: Discover patterns and distributions within the data that can inspire new feature engineering approaches.
  • Understanding New Datasets: Quickly familiarize yourself with a new dataset's structure, content, and potential challenges.

Key capabilities

  • Automated report generation
  • Analysis of tabular datasets
  • Identification of missing values
  • Data type inference
  • Distribution analysis

Example prompts

  • "Profile this CSV file: path/to/my_data.csv"
  • "Generate a data profiling report for the 'customers' table in my database."
  • "Analyze the dataset and tell me about any missing values or unusual distributions."

Tips & gotchas

The skill requires access to the specified data source (e.g., file path, database connection). Ensure the AI agent has the necessary permissions to read the data for accurate profiling.