InspectorStory Mode
Join Mira’s Coffee Shop Recon. Follow seven fictional story beats through sample café traffic, a simulated disconnect and rejoin, a welcome-page Rickroll and a fictional FBI finale.
Learn through context, cause and consequence.
Field guide 01 / guided cybersecurity learning
A little curiosity.
A world to
investigate.
Meet Mira. Follow a story. Learn to read the evidence. Inspector-Edu brings cybersecurity concepts into a guided world of discovery and bounded tasks.
Enter the Cave Bash previewPilot in preparation / Access unavailable
EXPLORER RECORD№ 001
CAVE BASH
START HERE ↙
START HERE ↙
Your guideMira
First question:
what does the evidence tell you?
The learning path
From “what happened?”
to “here’s the evidence.”
Two ways into the same habit: observe carefully, try a bounded action, then explain what you found.
Task Mode
Open Task 01: Information Gathering. Work through three displayed sample commands to identify a local user, label a host and inspect fictional interfaces.
Turn a guided step into evidence you can describe.
Read the record
Watch the evidence record below the preview update as you progress. Each entry is a fixed sample that gives a learner and instructor something concrete to discuss.
The record lasts for this page visit only.
Playable field sample / no account needed
DemoRPG: Cave Bash
Start at the cave menu. Choose Story Mode or Task Mode, then follow the prompts inside the frame. Sample traffic, deauthentication and FBI events are scripted in-frame scene changes. No command executes, no Inspector backend or learner lab network is contacted, and no learner progress is saved.
Field notes / this visit only
Your evidence record
- No evidence collected yet.
For educators & institutions
A guided start.
A considered next step.
Inspector-Edu is being prepared for a supervised institutional pilot. The aim is story-led learning, bounded lab tasks and evidence an instructor can review.
Pilot in preparation
Access is currently unavailable.
Hosted learner runtime and institutional access have not yet been verified. This local preview demonstrates a small sample of the learning approach.
Discuss an institutional pilot ↗