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Rust Expert Best Practices Code Review

Checked
wispbit-ai·vlatest·backend

Helps with Rust, best practices, code review as part of developing backend services and APIs workflows.

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 wispbit-ai/skills --skill rust-expert-best-practices-code-review -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

wispbit-ai

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 wispbit-ai/skills at 8b2c7d0cec.

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

Commit
8b2c7d0cec
Manifest
skills/rust-expert-best-practices-code-review/SKILL.md
Scanned
17 files, 1,660 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 perform expert-level code reviews specifically for Rust projects, ensuring adherence to the language's strict safety and performance standards. It analyzes source code to identify potential memory safety issues, concurrency bugs, and violations of idiomatic Rust patterns before they reach production.

When to use it

  • Before merging critical backend services written in Rust to prevent runtime panics or undefined behavior.
  • During the development cycle to enforce consistent style and ownership rules across a growing codebase.
  • When auditing third-party dependencies or community-contributed modules for security vulnerabilities.
  • To validate that complex concurrency logic correctly utilizes async/await patterns without data races.

Key capabilities

  • Deep static analysis of Rust source files for safety guarantees.
  • Detection of common anti-patterns and non-idiomatic usage.
  • Identification of potential memory leaks and ownership conflicts.
  • Verification of proper error handling strategies using Result and Option.
  • Review of concurrency implementations to ensure thread safety.

Example prompts

  • "Review this Rust module for memory safety issues and suggest improvements based on best practices."
  • "Analyze the following async function for potential data races and deadlock scenarios."
  • "Check if this implementation follows idiomatic Rust patterns for error handling and trait implementations."

Tips & gotchas

Ensure the code being reviewed is valid, compilable Rust syntax, as the skill relies on parsing the language structure. While effective at catching logical flaws and safety violations, it may not replace human judgment for complex architectural decisions or business logic nuances.