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Rust Systems Programming

Listed
manutej·vlatest·backend

Develops performant, memory-safe backend systems in Rust leveraging unsafe code when necessary for optimization.

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 manutej/luxor-claude-marketplace --skill rust-systems-programming -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

manutej

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 failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: sh.rustup.rs.

    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

    sh.rustup.rsundeclared

    What it found

    • plugins/luxor-backend-toolkit/skills/rust-systems-programming/README.md:287contacts sh.rustup.rs
      curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • plugins/luxor-backend-toolkit/skills/rust-systems-programming/README.md:287remote script piped into a shell
      curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

  • 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 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.

  • Pinned to a commit: passed

    Scanned manutej/luxor-claude-marketplace at 1861cc9720.

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

Commit
1861cc9720
Manifest
plugins/luxor-backend-toolkit/skills/rust-systems-programming/SKILL.md
Scanned
3 files, 3,001 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 enables AI agents to write, debug, and optimize low-level Rust code for performance-critical systems. It handles complex memory management, unsafe blocks, and concurrency patterns required for building high-performance backend services.

When to use it

  • Developing kernel modules or embedded firmware where resource constraints are strict.
  • Building high-frequency trading engines or real-time data processing pipelines requiring zero-latency execution.
  • Creating custom network protocols or database storage engines that demand fine-grained control over memory.
  • Migrating legacy C/C++ systems to Rust while maintaining binary compatibility and safety guarantees.

Key capabilities

  • Safe and unsafe code integration with explicit ownership models.
  • Advanced concurrency primitives like channels, atomics, and lock-free data structures.
  • Zero-cost abstractions for generics and trait-based polymorphism.
  • Memory-safe system programming without garbage collection overhead.
  • Integration with FFI (Foreign Function Interface) for interoperability with other languages.

Example prompts

  • "Generate a Rust implementation of a lock-free ring buffer optimized for multi-threaded producer-consumer scenarios."
  • "Refactor this C++ network packet parser into safe Rust code using unsafe blocks only where absolutely necessary."
  • "Write a custom allocator in Rust that minimizes heap fragmentation for a real-time audio processing application."

Tips & gotchas

Ensure your AI agent understands the distinction between safe and unsafe Rust, as misuse of unsafe blocks can introduce critical vulnerabilities. Always verify generated code compiles with strict lints (cargo clippy) to catch potential memory safety issues early in development.