Skip to content
TrustedSkillsbeta
Back to all skills

Sql Embedder

Checked
fartlabs·vlatest·database·WTFPL

This SQL Embedder converts database queries into executable code, streamlining data extraction and integration across applications.

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 fartlabs/sql-embedder --skill sql-embedder -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

fartlabs

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 fartlabs/sql-embedder at c970325dac.

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

Commit
c970325dac
Manifest
skills/sql-embedder/SKILL.md
Scanned
1 file, 64 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 sql-embedder skill allows AI agents to execute SQL queries directly within a specified database. It facilitates data retrieval, modification, and analysis by translating natural language requests into structured SQL statements. This enables the agent to interact with databases without requiring manual intervention or complex scripting.

When to use it

  • Data Analysis: When an agent needs to extract specific information from a database based on user questions (e.g., "What were the top 10 sales last month?").
  • Report Generation: To automatically generate reports by querying data and formatting results (e.g., "Create a report showing customer demographics by region.").
  • Database Updates: When an agent needs to modify database records based on user instructions (e.g., “Update the shipping address for order #12345”).
  • Inventory Management: To check stock levels or update inventory counts in real-time (e.g., "How many red widgets are currently in stock?").

Key capabilities

  • SQL query execution
  • Database interaction
  • Data retrieval and modification
  • Report generation

Example prompts

  • "Get me the names of all customers who placed an order over $100."
  • "Update the price of product ID 789 to $25.99."
  • "Show me a summary of sales by category for the last quarter."

Tips & gotchas

The agent needs access credentials and connection details (hostname, database name) to connect to the target SQL database. Ensure these are securely provided to avoid unauthorized access or data breaches.