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Database Patterns

Checked
yonatangross·vlatest·database·MIT

Helps with database, patterns 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 yonatangross/orchestkit --skill database-patterns -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

yonatangross

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 yonatangross/orchestkit at 7784b90c05.

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

Commit
7784b90c05
Manifest
src/skills/database-patterns/SKILL.md
Scanned
2 files, 410 lines
Copies in repo
2 — all of them scanned
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 enables AI agents to interact with relational databases using SQL, allowing them to execute queries, manage transactions, and retrieve structured data efficiently. It bridges the gap between natural language requests and raw database operations within orchestration frameworks like OrchestrKit.

When to use it

  • You need an agent to fetch specific records from a PostgreSQL or MySQL instance based on user criteria.
  • Your workflow requires automated reporting where an AI must aggregate and summarize data from multiple tables.
  • You are building a system where the agent needs to validate inventory levels or user permissions before proceeding with other tasks.

Key capabilities

  • Execute standard SQL queries (SELECT, INSERT, UPDATE, DELETE) against supported databases.
  • Parse natural language instructions into executable database commands.
  • Manage transaction states to ensure data integrity during complex operations.
  • Integrate seamlessly with the OrchestrKit framework for multi-step agent workflows.

Example prompts

  • "Query the users table and list all accounts created in the last 30 days."
  • "Update the status of order ID #12345 to 'shipped' in the orders database."
  • "Retrieve the total sales revenue from the transactions table grouped by month for this year."

Tips & gotchas

Ensure your AI agent has explicit read/write permissions configured for the target database instance before attempting operations. While this skill handles SQL logic, it does not replace the need for secure connection strings or environment variable management in your deployment pipeline.