Does it automatically delete inappropriate content?

No, it flags items for human review. This allows mentors to evaluate the specific context before making any manual changes.

What age group is this skill designed for?

This skill is specifically tailored for the FTC demographic, focusing on students aged 12-18 in educational environments.

Can this detect student PII?

Yes, it actively flags potential personal information such as real student names, email addresses, and specific school details to maintain privacy.

Does it recognize common robotics terms that might look like profanity?

Yes, it includes a whitelist for terms like 'kill', 'attack', and 'dead' when used in robot game mechanics or battery contexts.

FTC Youth Safety Review

Name: FTC Youth Safety Review
Author: ncssm-robotics

byncssm-robotics

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安全与测试

Audits code and comments to ensure content appropriateness for youth audiences and educational environments.

关于

The FTC Youth Safety Review skill is a specialized auditing tool designed for the FIRST Tech Challenge community to maintain professional and age-appropriate codebases. It scans source code, variable names, and comments for profanity, insensitive language, and PII (Personal Identifiable Information) while providing contextual awareness for robotics-specific terminology. By flagging potential violations for human review, it helps mentors and students ensure that shared repositories and marketplace submissions align with educational standards and youth protection policies.

主要功能

PII protection for student and school privacy
FTC-specific context filtering for game mechanics
Automated profanity and insensitive language detection
2 GitHub stars
Professional tone analysis for code comments
Multi-level severity flagging (Error, Warning, Info)

使用场景

Mentorship reviews of student-authored robot code
Automating code of conduct compliance in educational repositories
Pre-submission checks for FTC marketplace plugins

关于

主要功能

PII protection for student and school privacy
FTC-specific context filtering for game mechanics
Automated profanity and insensitive language detection
2 GitHub stars
Professional tone analysis for code comments
Multi-level severity flagging (Error, Warning, Info)

使用场景

Mentorship reviews of student-authored robot code
Automating code of conduct compliance in educational repositories
Pre-submission checks for FTC marketplace plugins