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Generic Fullstack Code Reviewer

Checked
travisjneuman·vlatest·backend·MIT

Identifies common backend code errors, style inconsistencies, and potential performance bottlenecks in fullstack projects.

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 travisjneuman/.claude --skill generic-fullstack-code-reviewer -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

travisjneuman

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 travisjneuman/.claude at 050878886e.

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

Commit
050878886e
Manifest
skills/generic-fullstack-code-reviewer/SKILL.md
Scanned
1 file, 145 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 provides code review capabilities for fullstack applications. It analyzes provided code snippets, identifies potential bugs, security vulnerabilities, and areas for improvement in both frontend and backend components. The reviewer offers suggestions to enhance code quality, maintainability, and overall application performance.

When to use it

  • Reviewing a new feature implementation before merging into the main codebase.
  • Identifying potential security flaws in existing API endpoints.
  • Getting feedback on refactoring efforts for improved code clarity.
  • Assessing the suitability of different technologies or libraries for a specific task.

Key capabilities

  • Fullstack code analysis (frontend and backend)
  • Bug detection
  • Security vulnerability identification
  • Code quality assessment
  • Maintainability suggestions

Example prompts

  • "Review this React component for potential performance issues: [code snippet]"
  • "Can you find any security vulnerabilities in this Node.js API endpoint? [code snippet]"
  • "Please assess the code quality of this Python function and suggest improvements: [code snippet]"

Tips & gotchas

The skill's effectiveness depends on providing clear, complete code snippets. It is designed for general fullstack code; highly specialized or domain-specific code may yield less relevant feedback.