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Rust Systems

Checked
rohitg00·vlatest·backend·Apache-2.0

Develops, debugs, and optimizes robust Rust-based backend systems and APIs for high performance and reliability.

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 rohitg00/awesome-claude-code-toolkit --skill rust-systems -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

rohitg00

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 rohitg00/awesome-claude-code-toolkit at ebdf1d596d.

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

Scanned
1 file, 179 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 generate, understand, and debug Rust code. It facilitates the creation of systems programming applications, including command-line tools, embedded systems, and high-performance services. The agent can leverage this skill for tasks ranging from writing simple functions to building complex data structures.

When to use it

  • Building Command-Line Tools: Generate a CLI application that processes files or interacts with APIs.
  • Developing Embedded Systems Code: Create code snippets for microcontrollers and other resource-constrained devices.
  • Creating High-Performance Services: Implement backend services requiring low latency and efficient memory usage.
  • Debugging Existing Rust Projects: Analyze and fix errors in existing Rust codebase.

Key capabilities

  • Rust code generation
  • Rust code understanding
  • Rust code debugging

Example prompts

  • "Write a Rust function to calculate the factorial of a given number."
  • "Explain this Rust code snippet: fn main() { println!("Hello, world!"); }"
  • "Debug this Rust program and identify the source of the error: [paste error message here]"

Tips & gotchas

This skill requires some familiarity with Rust syntax and concepts. While it can generate basic code, more complex tasks may require iterative refinement and guidance from a user familiar with Rust development practices.