cyberneticlibrary

Generate verified science curriculum questions

author-contentworkflowsetup L30
JosephOIbrahim/earth-sky-quest
What it does

Draft MCQ items grounded in standard, adversarially verify

Best for

Generating science curriculum MCQ items with guaranteed content accuracy and grade-fit validation through adversarial verification.

Inputs
  • · Standard ID (NGSS string)
  • · Standard context/content (reference material)
  • · Tiers (recall/apply/analyze)
Outputs
  • · Accepted MCQ items (passed >=2 lenses)
  • · Rejected items with issue notes
Requires
  • · Claude agents (parallel, 3 lenses per item)
Preconditions
  • · AGENT_RULES.md present in repo
  • · Standard context provided as JSON
  • · Multi-phase: Draft → Verify
Failure modes
  • · No standardId → empty result
  • · Draft produces no items → early exit
  • · Lenses disagree; only >=2 confirmations pass
  • · Traps may collide with correct answer
Trust signals
  • · Strict JSON schema for items (tier, question, options, answer, explanation, traps)
  • · 3-lens verification: SCIENTIFIC CORRECTNESS, GRADE FIT, TRAP VALIDITY
  • · Parallel per-item verification
  • · 2-lens confirmation gate