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Rust Learner

Checked
actionbook·vlatest·backend

Automatically generates Rust code snippets from actionbook documentation to accelerate backend development and learning.

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 actionbook/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

actionbook

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 actionbook/rust-skills at 5c40d3ad78.

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

Commit
5c40d3ad78
Manifest
skills/rust-learner/SKILL.md
Scanned
1 file, 275 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

The Rust Learner skill provides a structured curriculum for AI agents to master the Rust programming language, focusing on core syntax, ownership patterns, and ecosystem tools. It guides agents through building practical projects like CLI utilities and web servers while enforcing safe memory management principles.

When to use it

  • Onboard new AI agents into backend development workflows requiring high-performance, memory-safe code.
  • Teach agents to navigate Rust's unique ownership model and borrow checker without manual intervention.
  • Generate scaffolding for common Rust patterns such as error handling with Result and Option.
  • Prepare agents to interact with the Cargo package manager for dependency management and project setup.

Key capabilities

  • Explains complex concepts like lifetimes, traits, and generics in simple terms.
  • Generates idiomatic Rust code snippets adhering to current best practices.
  • Debugs common compilation errors related to borrowing rules and type mismatches.
  • Suggests libraries from crates.io for specific functional requirements.

Example prompts

  • "Explain the difference between &T and &mut T using a real-world analogy."
  • "Write a Rust function that reads a file line-by-line and handles errors gracefully using the ? operator."
  • "Create a simple CLI tool in Rust that accepts command-line arguments and prints them to stdout."

Tips & gotchas

Ensure your AI agent understands that Rust's compiler is strict; prompts should explicitly request explanations for borrow checker errors rather than just code fixes. Start with basic syntax before attempting complex concurrency patterns like async/await or channels.