Writing Csharp Code

Name: Writing Csharp Code
Author: microsoft-foundry

Checked

microsoft-foundry·vlatest·backend·MIT

Generates efficient, well-documented C# code snippets and classes for backend development tasks based on provided requirements.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add microsoft-foundry/foundry-agent-webapp --skill writing-csharp-code -a claude-code

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

microsoft-foundry

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 2 Oct 2026

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 microsoft-foundry/foundry-agent-webapp at f6cb362901.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: f6cb362901
Manifest: .github/skills/writing-csharp-code/SKILL.md
Scanned: 1 file, 322 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 generate C# code based on natural language instructions. It can produce complete classes, methods, or snippets of code tailored to specific requirements. The generated code is intended for use in .NET applications and projects.

When to use it

Generating boilerplate code for a new class or method.
Creating simple utility functions based on descriptions.
Prototyping solutions quickly without writing code manually.
Automating repetitive coding tasks.

Key capabilities

Generates C# code from natural language prompts.
Supports the creation of classes, methods, and code snippets.
Intended for use within .NET environments.

Example prompts

"Write a C# class called 'Calculator' with methods for addition, subtraction, multiplication, and division."
"Generate a C# function that takes two integers as input and returns their sum."
“Create a method to validate an email address using regular expressions in C#.”

Tips & gotchas

The quality of the generated code depends heavily on the clarity and specificity of the prompt. Providing detailed instructions about expected inputs, outputs, and error handling will yield better results.