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Rust Pro

Checked
vudovn·vlatest·backend·MIT

Automates Rust backend development tasks like code generation, testing, and deployment using advanced AI techniques.

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 vudovn/ag-kit --skill rust-pro -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

vudovn

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 vudovn/antigravity-kit at 549ba3dc2e.

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

Scanned
1 file, 176 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 vudovn-rust-pro skill enables AI agents to generate, understand, and debug Rust code. It can assist with tasks ranging from writing simple functions to building more complex applications, providing explanations of the generated code along the way. The agent leverages its knowledge of Rust syntax, common libraries, and best practices to produce functional and idiomatic solutions.

When to use it

  • Code Generation: Generate a function that calculates the factorial of a given number in Rust.
  • Debugging Assistance: Provide existing Rust code with errors and ask the agent to identify and correct them.
  • Code Explanation: Ask the agent to explain what a specific block of Rust code does, line by line.
  • Rust Learning: Request the agent to provide examples of how to use specific Rust features like ownership or traits.

Key capabilities

  • Rust Code Generation
  • Rust Code Debugging
  • Code Explanation
  • Understanding Rust Syntax and Semantics

Example prompts

  • "Write a Rust function that implements the quicksort algorithm."
  • "I have this Rust code: .... It's not compiling. Can you find the error?"
  • "Explain what this Rust code snippet does: fn main() { ... }"

Tips & gotchas

The agent’s performance is best when given clear and specific instructions regarding the desired functionality or problem to be solved. While it has a strong understanding of Rust, complex projects may require iterative refinement and feedback.