cyberneticlibrary
← library

Internal playbook module reference

module-5commandsetup L1★0
airs-labs/prisma-airs-mlops-lab ↗
What it does

Guide student through AIRS pipeline integration module with scoring and validation

Best for

Structuring hands-on MLOps learning with gated prerequisites, engagement tracking, and point-based assessment

Inputs
  • · lab.config.json (scoring config)
  • · student environment (AIRS SDK, security groups, GitHub secrets)
Outputs
  • · engagement notes in .progress.json
  • · verified/failed tech checks
  • · quiz scores
Requires
  • · lab.config.json parser
  • · GitHub secrets reader
  • · AIRS SDK validator
Preconditions
  • · Module 4 (AIRS SDK) complete
  • · security group UUIDs known
  • · GitHub secrets set
Failure modes
  • · student skips /lab:verify-5
  • · tech checks fail (student didn't complete challenge)
  • · quiz attempt limit reached
Trust signals
  • · Three-state learning (teach concept, probe understanding, assess at verify)
  • · points from config.json not hardcoded
  • · explicit engagement markers