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Rust Skills

Checked
leonardomso·vlatest·backend·MIT

Provides Rust guidance and assistance for developing backend services and APIs.

Repository

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 leonardomso/rust-skills --skill rust-skills -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

leonardomso

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

    Only contacts known or declared hosts: raw.githubusercontent.com.

    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.

    Hosts contacted

    raw.githubusercontent.comsource host

  • 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 leonardomso/rust-skills at fd2a861ab0.

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

Commit
fd2a861ab0
Manifest
SKILL.md
Scanned
60 files, 7,727 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 rust-skills skill provides AI agents with expertise in Rust programming, enabling them to write efficient, safe, and performant systems code. It supports tasks such as memory management, concurrency, and working with low-level system interfaces.

When to use it

  • Building high-performance backend services that require fine-grained control over resources.
  • Developing embedded systems or applications where safety and speed are critical.
  • Writing cross-platform libraries or tools that need to interface directly with hardware or operating systems.

Key capabilities

  • Memory-safe code generation using Rust's ownership model
  • Support for concurrent programming patterns
  • Integration with system-level APIs and C-compatible interfaces
  • Compilation to native binaries for performance optimization

Example prompts

  • "Write a Rust function to manage memory in a multi-threaded environment."
  • "Implement a low-latency network server in Rust that handles 10,000 concurrent connections."
  • "Generate a Rust module that interacts with a C library for hardware control."

Tips & gotchas

  • Ensure your AI agent has access to a Rust compiler and build tools like Cargo.
  • While Rust is powerful, its steep learning curve may require additional training or documentation for complex use cases.