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Sqldown

Listed
mbailey·vlatest·database

Sqldown extracts data from SQL databases into a structured format for easy analysis and integration – streamlining your workflow.

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 mbailey/sqldown --skill sqldown -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

mbailey

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 2 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: test.pypi.org.

    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

    pypi.orgpackage registrytest.pypi.orgundeclaredgithub.comsource host

    What it found

    • Makefile:151contacts test.pypi.org
      echo "Get a token from https://test.pypi.org/manage/account/token/"; \
    • Makefile:155contacts test.pypi.org
      @uv publish --publish-url https://test.pypi.org/legacy/
    • Makefile:159contacts test.pypi.org
      @echo "  pip install --index https://test.pypi.org/simple/ sqldown"

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 3 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • .github/workflows/ci.yml:28remote script piped into a shell
      curl -LsSf https://astral.sh/uv/install.sh | sh
    • .github/workflows/ci.yml:66remote script piped into a shell
      curl -LsSf https://astral.sh/uv/install.sh | sh
    • Makefile:159pip install straight from a URL
      @echo "  pip install --index https://test.pypi.org/simple/ sqldown"

  • 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.

  • Pinned to a commit: passed

    Scanned mbailey/sqldown at b772051d05.

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

Commit
b772051d05
Manifest
SKILL.md
Scanned
25 files, 4,771 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

The sqldown skill allows AI agents to execute SQL queries against a database. It facilitates data retrieval, manipulation, and analysis directly within the agent's workflow. This enables automated reporting, data-driven decision making, and integration with existing databases.

When to use it

  • Automated Reporting: Generate daily sales reports by querying a transactional database.
  • Data Analysis: Extract specific customer segments from a CRM system for targeted marketing campaigns.
  • Database Migration: Migrate data between different database systems using SQL transformation queries.
  • Inventory Management: Check stock levels and reorder products based on real-time inventory data stored in a database.

Key capabilities

  • Execute SQL queries against databases.
  • Retrieve data from relational databases.
  • Automate data analysis tasks.

Example prompts

  • "Run the following query: SELECT * FROM orders WHERE order_date > '2023-12-31'."
  • "Get me a list of all customers in California."
  • "Update the price of product ID 123 to $19.99 using SQL."

Tips & gotchas

The agent requires access credentials (username and password) for the target database. Ensure proper security measures are in place when handling these credentials, and be mindful of potential SQL injection vulnerabilities.