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Rust Expert

Checked
personamanagmentlayer·vlatest·backend·Apache-2.0

Analyzes Rust code for potential bugs, performance bottlenecks, and adherence to 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 personamanagmentlayer/pcl --skill rust-expert -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

personamanagmentlayer

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

    Only contacts known or declared hosts: 127.0.0.1.

    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.

    Hosts contacted

    127.0.0.1local

  • 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 personamanagmentlayer/pcl at 79ccaa9820.

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

Commit
79ccaa9820
Manifest
stdlib/languages/rust-expert/SKILL.md
Scanned
2 files, 985 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 analyze Rust code and provide expert-level feedback. It leverages a deep understanding of Rust's core concepts, including ownership, borrowing, lifetimes, type system, and async programming. The agent can identify potential bugs, performance bottlenecks, and areas where the code doesn’t adhere to community best practices, ultimately helping developers write safer, faster, and more idiomatic Rust code.

When to use it

  • Code Review: Get automated feedback on existing Rust projects.
  • Learning Rust: Understand complex concepts like ownership and lifetimes through examples and explanations.
  • Debugging: Identify the root cause of errors related to borrowing or memory management.
  • Performance Optimization: Find areas in your code that can be improved for better performance.
  • Best Practices Adherence: Ensure your Rust code follows established community guidelines.

Key capabilities

  • Expert knowledge of Rust ownership and borrowing rules.
  • Understanding of Rust lifetimes and how to annotate them correctly.
  • Ability to analyze Rust type systems, including enums and pattern matching.
  • Knowledge of async programming patterns in Rust.
  • Identification of potential performance bottlenecks in Rust code.

Example prompts

  • "Analyze this Rust code for any ownership or borrowing issues: [paste code here]"
  • "Explain the concept of lifetimes in Rust with a simple example."
  • "Can you identify any performance improvements I can make to this function? [paste code here]"
  • "How does pattern matching work with enums in Rust?"

Tips & gotchas

  • The skill's effectiveness is dependent on the quality and clarity of the provided Rust code.
  • Due to the complexity of Rust, very large or intricate codebases might require multiple iterations for thorough analysis.
  • While it can identify potential issues, always review the agent’s suggestions carefully and understand why a change is recommended.