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Rust Learner

Checked
thurbeen·vlatest·backend·MIT

Analyzes server logs to proactively identify and mitigate emerging rust-related vulnerabilities, improving system stability.

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 thurbeen/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

thurbeen

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 thurbeen/rust-skills at 6029cb39b5.

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

Scanned
1 file, 301 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 thurbeen-rust-learner skill enables AI agents to learn and understand Rust code. It can analyze existing Rust projects, identify potential areas for improvement, and generate new Rust code snippets based on provided instructions or examples. This allows the agent to assist with tasks ranging from debugging to creating simple programs.

When to use it

  • Code Review: Have the agent review a Rust codebase for common errors or style violations.
  • Snippet Generation: Request small, specific code snippets in Rust for particular functionalities (e.g., "write a function to calculate the factorial of a number").
  • Learning Assistance: Use it as a tutor to understand Rust concepts and syntax by asking questions about code examples.
  • Project Setup: Generate basic project structures or boilerplate code for new Rust projects.

Key capabilities

  • Rust Code Analysis
  • Code Generation
  • Syntax Understanding
  • Error Identification (potential)

Example prompts

  • "Analyze this Rust code and suggest improvements: [paste Rust code here]"
  • "Write a Rust function to implement the quicksort algorithm."
  • "Explain what this Rust code does: [paste Rust code here]"

Tips & gotchas

The skill's effectiveness depends on the complexity of the Rust code provided. It is best suited for relatively simple tasks and smaller code snippets initially.