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Migration Helper

Checked
nguyenthienthanh·vlatest·database·MIT

Automates data migration tasks, optimizing speed and accuracy based on nguyenthienthanh's expertise in complex datasets.

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 nguyenthienthanh/aura-frog --skill migration-helper -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

nguyenthienthanh

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 nguyenthienthanh/aura-frog at e58029838d.

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

Scanned
1 file, 97 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

This skill assists with data migrations, providing guidance and potentially automating parts of the process. It can help analyze existing data structures, generate migration scripts based on provided schemas, and offer suggestions for optimizing migration strategies. The tool aims to reduce errors and speed up the overall migration workflow.

When to use it

  • You're migrating a database from one system to another (e.g., MySQL to PostgreSQL).
  • You need help understanding the differences between two data schemas.
  • You want to generate initial SQL scripts for transferring data.
  • You’re looking for best practices and potential pitfalls in your migration plan.

Key capabilities

  • Schema analysis
  • Migration script generation
  • Optimization suggestions
  • Data structure comparison

Example prompts

  • "Analyze these two database schemas and suggest a migration strategy."
  • "Generate SQL scripts to migrate data from this MySQL schema to this PostgreSQL schema."
  • "What are the potential issues when migrating from MongoDB to relational databases?"

Tips & gotchas

The skill's effectiveness depends on providing accurate and complete information about the source and destination data structures. Review generated scripts carefully before execution, as automated generation doesn’t guarantee perfect compatibility.