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Database Reviewer

Checked
itou-daiki·vlatest·database

Analyzes database schemas, identifies inefficiencies, and suggests improvements for performance and data integrity.

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 itou-daiki/easy_stat_edu --skill database-reviewer -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

itou-daiki

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 itou-daiki/easy_stat_edu at ebaaa0fd86.

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

Commit
ebaaa0fd86
Manifest
.agent/skills/database-reviewer/SKILL.md
Scanned
1 file, 595 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 database-reviewer skill analyzes a provided database schema and data, identifying potential issues like missing indexes, inefficient queries, or data inconsistencies. It can also suggest improvements to optimize performance and ensure data integrity. This skill helps users understand their database's structure and identify areas for enhancement without requiring deep SQL expertise.

When to use it

  • Performance Tuning: Identify slow-running queries and recommend index creation to speed up database operations.
  • Schema Validation: Check a new or modified database schema for potential design flaws before deployment.
  • Data Quality Assessment: Detect inconsistencies or anomalies within the data stored in a database.
  • Learning Database Best Practices: Understand how experienced database administrators approach optimization and maintenance.

Key capabilities

  • Database Schema Analysis
  • Query Performance Evaluation
  • Index Recommendation
  • Data Inconsistency Detection

Example prompts

  • "Review this SQL schema: [schema definition] and suggest improvements."
  • "Analyze the performance of this query: [SQL query] against a database with these tables: [table descriptions]."
  • "Check this data for inconsistencies: [sample dataset]"

Tips & gotchas

The skill's effectiveness depends on providing accurate and complete information about the database schema, queries, or data. Large datasets may require significant processing time.