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Rust Engineer

Checked
jarmen423·vlatest·backend

Generates, debugs, and optimizes Rust code for robust and performant backend systems 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 jarmen423/skills --skill rust-engineer --full-depth -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

jarmen423

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 jarmen423/skills at d016f7d2c7.

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

Commit
d016f7d2c7
Manifest
downloaded-skills/languages/rust-engineer/SKILL.md
Scanned
6 files, 1,960 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 refactor Rust code. It can generate complete programs from descriptions, identify and fix errors in existing Rust code, and improve the efficiency and readability of Rust projects. The agent is capable of working with common Rust libraries and frameworks.

When to use it

  • Developing a CLI tool: Generate a command-line application based on a set of requirements.
  • Debugging an existing project: Identify and fix errors in a Rust codebase.
  • Refactoring legacy code: Improve the structure, readability, and performance of older Rust projects.
  • Creating a new library or module: Design and implement reusable components for larger Rust applications.

Key capabilities

  • Code generation
  • Debugging
  • Refactoring
  • Rust language proficiency
  • Library/framework integration

Example prompts

  • "Write a Rust program that calculates the Fibonacci sequence up to n terms."
  • "Find and fix the error in this Rust code: [paste code here]"
  • "Refactor this Rust function to improve its performance: [paste code here]"

Tips & gotchas

The agent's effectiveness depends on providing clear and concise instructions. While it understands common Rust idioms, complex or highly specialized tasks may require more detailed guidance.