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Csv Data Summarizer

Checked
jackspace·vlatest·data·MIT

Helps with CSV, data as part of agent 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 jackspace/claudeskillz --skill csv-data-summarizer -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

jackspace

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 jackspace/claudeskillz at aef4e299d1.

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

Commit
aef4e299d1
Manifest
skills/csv-data-summarizer-claude-skill_coffeefuelbump/SKILL.md
Scanned
5 files, 539 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 summarizes data from CSV files. It can extract key information, identify trends, and provide concise overviews of datasets. The agent will process a provided CSV file and return a human-readable summary highlighting important aspects of the data.

When to use it

  • Analyze sales data: Quickly understand peak seasons, top-selling products, or customer demographics from a CSV export.
  • Review survey results: Get a summarized view of responses collected in a CSV format, identifying common themes and sentiments.
  • Understand financial records: Summarize income statements or balance sheets exported as CSV files to identify key performance indicators.
  • Process log data: Extract meaningful insights from server logs or application usage data stored in CSV format.

Key capabilities

  • CSV file processing
  • Data summarization
  • Trend identification
  • Human-readable output

Example prompts

  • "Summarize the attached sales_data.csv file."
  • "Can you give me a brief overview of the data in customer_survey.csv?"
  • “Analyze this CSV and tell me what are the top 5 most frequent values in the 'product' column: [attached csv]”

Tips & gotchas

  • The skill requires a valid CSV file to be provided as input. Ensure the file is properly formatted before submitting it.