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Code Review

Checked
ncssm-robotics·vlatest·backend·MIT

Analyzes robotics code for errors, style issues, and potential improvements using established best practices.

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 ncssm-robotics/ftc-claude --skill 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

ncssm-robotics

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 ncssm-robotics/ftc-claude at 670e8c6722.

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

Scanned
1 file, 120 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 automated code review specifically tailored for FTC (FIRST Tech Challenge) robotics programs. It analyzes Java code, identifies potential errors and style issues, and suggests improvements to ensure code quality and adherence to best practices. The tool helps improve the robustness and maintainability of robot control software.

When to use it

  • Before submitting code for a team project: Quickly identify common mistakes and enforce coding standards.
  • During competition season when rapid iteration is needed: Catch errors early in the development cycle.
  • For onboarding new team members: Ensure consistent code style across the entire codebase.
  • When refactoring existing code: Identify areas needing improvement and potential bugs.

Key capabilities

  • Java Code Analysis
  • Error Detection
  • Style Issue Identification
  • Suggestion Generation
  • FTC Specific Rules

Example prompts

  • "Review this Java file for FTC robotics compliance."
  • "Check this code snippet for common errors and suggest improvements."
  • "Analyze this function and ensure it follows FTC coding best practices."

Tips & gotchas

  • This skill is specifically designed for FTC robotics code. Results may be less relevant for other types of Java projects.
  • The quality of the review depends on the clarity and structure of the provided code.