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Code Quality

Checked
d-o-hub·vlatest·backend·MIT

Analyzes your backend code for potential issues like bugs and style violations, boosting maintainability and reliability.

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 d-o-hub/rust-self-learning-memory --skill code-quality -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

d-o-hub

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 d-o-hub/rust-self-learning-memory at da7210f59b.

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

Commit
da7210f59b
Manifest
.agents/skills/code-quality/SKILL.md
Scanned
3 files, 541 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 analyzes Rust code to identify and suggest improvements for code quality. It can detect potential bugs, enforce coding style guidelines, and help ensure maintainability of Rust projects. The tool aims to improve overall project health by proactively addressing common issues in Rust codebases.

When to use it

  • Automated Code Reviews: Integrate into CI/CD pipelines to automatically check pull requests for quality issues before merging.
  • Refactoring Existing Code: Identify areas of a legacy codebase that could benefit from improvements and suggest concrete changes.
  • Learning Rust Best Practices: Use the skill's feedback to understand and adopt idiomatic Rust coding patterns.
  • New Project Setup: Ensure new projects adhere to established quality standards from the outset.

Key capabilities

  • Code analysis for potential bugs
  • Enforcement of Rust coding style guidelines
  • Suggestion of code improvements
  • Maintainability assessment

Example prompts

  • "Analyze this Rust file and suggest any improvements."
  • "Check this code snippet for common errors in Rust."
  • "What are the quality issues with this function?"

Tips & gotchas

The skill is specifically designed for Rust code. Ensure the input provided is valid Rust source code to receive accurate analysis and suggestions.