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Db

Checked
johnlindquist·vlatest·other

Db allows you to dynamically generate database schemas from your code, streamlining development and ensuring consistency across projects.

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 johnlindquist/claude --skill db -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

johnlindquist

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 johnlindquist/claude at eb37d88225.

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

Commit
eb37d88225
Manifest
skills/db/SKILL.md
Scanned
1 file, 234 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 db skill enables AI agents to interact with database systems, allowing them to query, retrieve, and manage data directly within their operational context. It bridges the gap between natural language requests and structured data storage, facilitating seamless information access for automated workflows.

When to use it

  • Retrieving specific records or aggregating data based on user-defined criteria.
  • Validating data integrity or checking current system states before executing further logic.
  • Automating routine reporting tasks by pulling real-time metrics from persistent storage.
  • Updating or inserting new entries into a database as part of an agent's decision-making process.

Key capabilities

  • Direct connection to supported database instances.
  • Execution of read and write operations via natural language instructions.
  • Structured data retrieval formatted for immediate consumption by downstream tools.

Example prompts

  • "Query the latest sales figures from the orders table for the past month."
  • "Update the status of all pending tickets in the support system to 'in progress'."
  • "Retrieve the user profile details for ID 12345 and format them as JSON."

Tips & gotchas

Ensure your AI agent has explicit permission credentials configured before attempting write operations to prevent unauthorized data modification. Verify that the database schema is documented or accessible, as the agent relies on accurate metadata to construct valid queries without hallucinating column names.