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Data Analysis Sql

Checked
pluginagentmarketplace·vlatest·database

Helps with data, analysis as part of working with databases and data persistence 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 pluginagentmarketplace/custom-plugin-sql --skill data-analysis-sql -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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-sql at 3f6ce49ea9.

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

Commit
3f6ce49ea9
Manifest
skills/data-analyst/SKILL.md
Scanned
4 files, 282 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 data analysis using SQL queries. It can extract, transform, and load (ETL) data from relational databases, enabling users to gain insights through structured querying. The agent can generate reports, identify trends, and answer specific questions based on the data stored within a database.

When to use it

  • Analyzing sales data to determine top-performing products or regions.
  • Generating customer churn reports by querying user activity logs.
  • Creating inventory summaries from warehouse management systems.
  • Identifying potential fraud patterns in financial transaction records.

Key capabilities

  • SQL query generation and execution
  • Data extraction from relational databases
  • Data transformation using SQL functions
  • Report generation based on query results

Example prompts

  • "Write a SQL query to find the average order value for customers in California."
  • "Generate a report showing monthly sales trends for the last year, using SQL."
  • "Extract all customer records from the 'customers' table and format them as a CSV file."

Tips & gotchas

  • Requires access to a relational database and appropriate credentials.
  • The agent’s effectiveness depends on the quality of the underlying data schema and SQL query syntax.