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Rust

Checked
martinholovsky·vlatest·backend·Unlicense

Generates efficient, idiomatic Rust code snippets and solutions based on provided specifications and context.

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 martinholovsky/claude-skills-generator --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

martinholovsky

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 martinholovsky/claude-skills-generator at 1086ef2567.

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

Commit
1086ef2567
Manifest
skills/rust/SKILL.md
Scanned
3 files, 1,149 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 code using Rust. It leverages the language's performance and memory safety features to generate production-ready backend logic directly within the agent workflow.

When to use it

  • Building high-performance microservices where latency is critical.
  • Developing systems requiring strict memory safety without a garbage collector.
  • Creating WebAssembly modules for browser-based or edge computing tasks.
  • Refactoring legacy C/C++ codebases into safer, modern Rust implementations.

Key capabilities

  • Generates idiomatic Rust code adhering to current best practices.
  • Handles complex ownership and borrowing rules automatically.
  • Integrates with Cargo for dependency management and project scaffolding.
  • Provides real-time error analysis and compilation fix suggestions.

Example prompts

  • "Create a high-performance HTTP server in Rust using Axum that handles concurrent requests."
  • "Refactor this C++ memory management snippet into safe, idiomatic Rust code."
  • "Write a Rust library function to parse JSON data and validate it against a specific schema."

Tips & gotchas

Ensure your AI agent has access to the latest Rust toolchain (Cargo) to avoid version-specific compilation errors. While Rust is powerful, its steep learning curve means prompts should be explicit about error handling strategies and ownership requirements to prevent logic flaws.