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Data Analyze Refined

Listed
gzsteven666·vlatest·data

Helps with data, analysis 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 gzsteven666/data-analyze --skill data-analyze-refined -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

gzsteven666

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: fonts.googleapis.com.

    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.

    Hosts contacted

    fonts.googleapis.comundeclared

    What it found

    • src/infographic_generator.py:304contacts fonts.googleapis.com
      <link rel="preconnect" href="https://fonts.googleapis.com">
    • src/infographic_generator.py:305contacts fonts.googleapis.com
      <link href="https://fonts.googleapis.com/css2?family=Noto+Serif+SC:wght@600;700&family=Noto+Sans+SC:wght@300;400;500;700&display=swap" rel="stylesheet">

  • 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 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 gzsteven666/data-analyze at bfc2c94ad0.

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

Commit
bfc2c94ad0
Manifest
SKILL.md
Scanned
18 files, 6,918 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 allows AI agents to perform refined data analysis tasks. It can process and interpret datasets, identify trends, and generate insights based on provided information. The agent is capable of handling various data formats and applying analytical techniques for a more detailed understanding.

When to use it

  • Analyzing sales figures to determine peak seasons and underperforming products.
  • Evaluating customer feedback from surveys to pinpoint areas for improvement in service or product offerings.
  • Processing website traffic data to understand user behavior and optimize content placement.
  • Examining financial reports to identify potential risks and opportunities for investment.

Key capabilities

  • Data processing
  • Trend identification
  • Insight generation
  • Handling various data formats

Example prompts

  • "Analyze this CSV file of website traffic and tell me which pages have the highest bounce rate."
  • "Can you identify any correlations between customer satisfaction scores and product usage?"
  • "Process these sales figures for the last quarter and highlight any significant trends."

Tips & gotchas

The agent's performance is dependent on the quality and format of the provided data. Ensure that datasets are clean, well-structured, and relevant to the analysis requested.