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Moai Lang Scala

Checked
ajbcoding·vlatest·backend

Moai Lang Scala translates natural language into executable Scala code, streamlining development and automating logic creation.

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 ajbcoding/claude-skill-eval --skill moai-lang-scala -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

ajbcoding

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 ajbcoding/claude-skill-eval at 887808517d.

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

Scanned
9 files, 531 lines
Copies in repo
3 — 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 understand and generate code in Moai, a new programming language designed for building decentralized applications. It leverages Scala as an intermediary representation, allowing for easier integration with existing tooling and infrastructure. The agent can translate between natural language instructions and Moai code, debug existing Moai programs, and explain the functionality of Moai snippets.

When to use it

  • Developing Decentralized Applications: Generate or modify smart contracts written in Moai.
  • Learning Moai: Get explanations of Moai syntax and concepts, and have examples generated for you.
  • Debugging Moai Code: Identify and fix errors in existing Moai codebases.
  • Code Translation: Translate between natural language descriptions and functional Moai code.

Key capabilities

  • Moai code generation
  • Moai code debugging
  • Moai code explanation
  • Scala intermediary representation

Example prompts

  • "Write a Moai function to calculate the sum of two numbers."
  • "Explain what this Moai code snippet does: ..."
  • "Debug this Moai smart contract and tell me why it's failing."

Tips & gotchas

The agent’s understanding is based on its training data, which may not cover all aspects of the evolving Moai language. Providing context or specific examples can improve accuracy when generating or debugging code.