Agent skill · security · aradotso
ai-security-trainer-2026
Browser-based cybersecurity education platform with guided lessons, quizzes, gamified progression, and adaptive learning scenarios for information security practice.
Why this skill is useful
Provides domain-specific knowledge on creating and managing interactive cybersecurity training lessons and quizzes that the AI wouldn't reliably generate on its own.
What it needs
Requires docker, python installed locally. About 7k tokens when loaded. Last updated 2026-08-04. 11 stars on the source repository.
What this skill does
AI Security Trainer v2026 Skill Skill by ara.so — Security Skills collection. Overview AI Security Trainer v2026 is a browser-based cybersecurity education platform that provides interactive security training through guided lessons, quizzes, gamified progression, and adaptive learning scenarios. The platform is built with HTML/JavaScript frontend and Flask backend, offering features like XP systems, badges, leaderboards, skills mapping, and user profile management. Installation Local Setup Docker Deployment Project Structure Core Concepts User Progression System The platform tracks learning through: XP (Experience Points): Earned by completing lessons and quizzes Levels: Automatic progression based on accumulated XP Badges: Achievement milestones for completing challenges Leaderboard: Competitive ranking system Lesson Structure Lessons follow a structured format with: Learning objectives Interactive content Embedded quizzes Practical scenarios Progress checkpoints Key Features Implementation Creating Custom Lessons User Profile Management Quiz System Implementation Skills Map Tracking Flask Backend Implementation Main Application Setup Adaptive Learning Engine Configuration Environment Variables Docker Configuration Common Patterns Creating Interactive Scenarios Leaderboard System `python leaderboard.py from datetime import datetime, timedelta import json import os class Leaderboard: def init(self, datafolder='data'): self.datafolder = datafolder self.leaderboardfile = os.path.join(datafolder, 'leaderboard.json') def getgloballeaderboard(self, limit=10): """Get top users by total XP""" users = self.loadallusers() sortedusers = sorted(users, key=lambda x: x['xp'], reverse=True) return sortedusers[:limit] def getweeklyleaderboard(self, limit=10): """Get top users by XP earned this week""" users = self.loadallusers() weekago = datetime.now() - timedelta(days=7) weeklyscores = [] for user in users: weeklyxp = sum( lesson['xpEarned'] for lesson in user.get('completedLess …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/ai-security-trainer-2026