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Rust Learner

Checked
goooice·vlatest·backend

Analyzes Rust codebases, identifies potential vulnerabilities & inefficiencies, and suggests improvements based on best practices.

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 goooice/rust-skills --skill rust-learner -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

goooice

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 goooice/rust-skills at 57af2e8da9.

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

Commit
57af2e8da9
Manifest
skills/rust-learner/SKILL.md
Scanned
1 file, 159 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

The goooice-rust-learner skill enables AI agents to learn and understand Rust code. It can analyze existing Rust projects, explain code snippets in plain language, and even generate simple Rust programs based on natural language instructions. This allows for easier onboarding of new developers or automated assistance with Rust development tasks.

When to use it

  • Code Explanation: You have a complex Rust codebase you need to understand quickly.
  • Learning Rust: You're new to Rust and want an AI assistant to explain concepts and code examples.
  • Automated Code Generation: You need to generate simple Rust programs or functions based on natural language descriptions.
  • Debugging Assistance: Get help understanding error messages and potential causes in your Rust projects.

Key capabilities

  • Rust code analysis
  • Plain language explanations of code
  • Simple Rust program generation
  • Error message interpretation

Example prompts

  • "Explain this Rust function: fn main() { ... }"
  • "Generate a Rust program that prints 'Hello, world!'"
  • "What does this error mean: error[E0308]: mismatched types?"

Tips & gotchas

The skill's effectiveness is dependent on the complexity of the code provided. It excels at explaining smaller code snippets and generating simple programs but may struggle with very large or intricate projects.