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Duckdb Sql

Listed
robdmc·vlatest·database

Executes SQL queries directly against databases using DuckDB, offering a fast, embedded solution for local data analysis and prototyping.

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 robdmc/claude_skills --skill duckdb-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

robdmc

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 pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

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

    What it found

    • duckdb_sql/code/duckdb-sql/SKILL.md:292tells the user to run: remote script piped into a shell(in the instructions, not code)
      > - Linux: `curl -fsSL https://install.duckdb.org | sh`

  • 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.

  • Pinned to a commit: passed

    Scanned robdmc/claude_skills at f9b97482a2.

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

Commit
f9b97482a2
Manifest
duckdb_sql/code/duckdb-sql/SKILL.md
Scanned
2 files, 1,278 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

The duckdb-sql skill enables AI agents to execute SQL queries directly against DuckDB, an in-process analytical database. It allows agents to load data from various file formats and perform complex calculations without requiring a persistent server setup.

When to use it

  • Analyzing local CSV, JSON, or Parquet files for immediate insights.
  • Performing ad-hoc exploratory data analysis on small-to-medium datasets.
  • Running SQL queries that require zero-latency execution within a single process.
  • Generating reports or aggregating data without managing external database infrastructure.

Key capabilities

  • Executes standard SQL queries against DuckDB instances.
  • Loads data from multiple file formats including CSV, JSON, and Parquet.
  • Operates entirely in-memory or with local file access, eliminating server dependencies.
  • Supports complex aggregation, filtering, and joining operations natively.

Example prompts

  • "Load the sales_data.csv file and calculate the total revenue by region."
  • "Query the transactions table to find the top 10 customers by spending in Q4."
  • "Join the users and orders tables to count active users who have placed more than five orders."

Tips & gotchas

Ensure your AI agent has read access to the local files or database paths you intend to query, as DuckDB operates on local resources. Be mindful of memory usage when loading very large datasets directly into the in-process engine.