youth-safety-review

Flag inappropriate or unsafe content in FTC student code before publishing.

4|4|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/ncssm-robotics/ftc-claude --skill youth-safety-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: youth-safety-review
Source: https://github.com/ncssm-robotics/ftc-claude/tree/main/.claude/skills/youth-safety-review
Command: npx skills add https://github.com/ncssm-robotics/ftc-claude --skill youth-safety-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides content appropriateness checks for FTC student code, helping mentors and teams identify language or content that may be unsuitable for a youth audience before sharing or publishing.

Core Features & Use Cases

  • Automated content checks for language, variable names, comments, and strings to flag potential issues.
  • Human-review workflow guidance to ensure context matters and mentors decide on resolutions.
  • Use Case: Review a sample submission to flag offensive terms or unsafe references and generate a review report for a mentor.

Quick Start

Review a sample student submission to identify inappropriate content and flag items for mentor review.

Frequently Asked Questions about youth-safety-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review FTC student code for inappropriate content before publishing?

To review FTC student code, this skill scans variable names, comments, strings, and documentation to flag inappropriate language or sensitive data exposure, generating a review report for mentors to assess before publishing student projects.

What is a youth-safety code review and when do I need it for FTC teams?

A youth-safety code review identifies unsuitable language or unsafe references in student code. Mentors need it during review and publishing workflows to ensure FTC student projects remain age-appropriate before sharing publicly.

Can I automate content appropriateness checks for student code comments and variable names?

Yes, you can automate content appropriateness checks for student code. The skill scans comments, variable names, and strings to flag potential issues, while providing a human-review workflow for mentors to make final contextual decisions.

Does the code review process catch sensitive data exposure in student submissions?

Yes, the code review process catches sensitive data exposure in student submissions. It implements automated checks specifically for sensitive data alongside age-appropriate language detection across all code and documentation.

What's the best way to handle flagged inappropriate terms in FTC code reviews?

The best way to handle flagged inappropriate terms is through the built-in human-review workflow. The automated checks flag offensive terms and unsafe references, then mentors review the context and decide on appropriate resolutions for each flagged item.

Are there limitations to automated language checks for youth code safety?

Automated language checks for youth code safety cannot assess context independently. The skill addresses this limitation by providing a human-review workflow where mentors evaluate flagged items to ensure contextual accuracy before finalizing resolutions.