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Moai Lang Csharp

Checked
modu-ai·vlatest·backend

Generates C# code snippets and solutions from natural language requests for robust backend development tasks.

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 modu-ai/cc-plugins --skill moai-lang-csharp -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

modu-ai

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 modu-ai/cc-plugins at deb0819dec.

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

Scanned
8 files, 4,099 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 allows AI agents to understand and generate C# code using the MOAI language. It provides capabilities for parsing, analyzing, and generating C# code snippets, enabling agents to automate tasks involving .NET development. The agent can also use this skill to explain existing C# code or translate between different coding styles.

When to use it

  • Automated Code Generation: Generate boilerplate code or simple functions based on natural language descriptions.
  • Code Explanation: Have the AI agent explain complex C# code snippets in plain English.
  • .NET Development Assistance: Get help with debugging, refactoring, or understanding existing .NET projects.
  • Code Translation/Conversion: Convert between different coding styles or frameworks within the C# ecosystem.

Key capabilities

  • C# Code Parsing
  • C# Code Generation
  • MOAI Language Support
  • Code Explanation
  • Code Refactoring (implied)

Example prompts

  • "Generate a C# function to calculate the factorial of a number."
  • "Explain what this C# code does: [code snippet]"
  • “Convert this C# code to use asynchronous programming patterns.”

Tips & gotchas

The skill's effectiveness depends on the clarity and specificity of your prompts. Providing context or examples can significantly improve the quality of generated or explained code.