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Rust

Checked
mindrally·vlatest·backend·Apache-2.0

Automates Rust code generation, testing, and deployment pipelines for optimized backend performance and reliability.

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 mindrally/skills --skill rust -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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
rust/SKILL.md
Scanned
1 file, 64 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

Rust Backend Development

What it does

This skill enables AI agents to write, debug, and optimize code in the Rust programming language for high-performance backend systems. It leverages Rust's memory safety guarantees and concurrency model to build robust server-side applications without manual memory management errors.

When to use it

  • Building microservices that require low-latency response times and efficient resource utilization.
  • Developing system-level tools where memory safety is critical to prevent runtime crashes or security vulnerabilities.
  • Creating high-concurrency network services that need to handle thousands of simultaneous connections efficiently.
  • Migrating legacy C/C++ backend codebases to safer, modern alternatives with similar performance characteristics.

Key capabilities

  • Generates idiomatic Rust code adhering to best practices and ownership rules.
  • Performs static analysis to identify potential memory leaks, data races, and undefined behavior.
  • Optimizes algorithms for CPU cache efficiency and minimal runtime overhead.
  • Integrates with standard Rust ecosystem crates for database interaction, HTTP handling, and serialization.

Example prompts

  • "Generate a Rust struct and implementation for an async HTTP server that handles concurrent WebSocket connections."
  • "Refactor this C++ memory management snippet into safe, idiomatic Rust code using smart pointers."
  • "Write a unit test suite for a Rust function that processes large JSON payloads with strict type safety."

Tips & gotchas

Ensure your AI agent understands Rust's ownership and borrowing system to avoid compilation errors related to lifetimes. While the skill excels at backend logic, it may require additional context for complex GUI or embedded hardware interactions specific to Rust toolchains.