Gemma4-12B is now the primary model for all questions: - Endpoint: http://127.0.0.1:8081/v1 - Model ID: gemma4-12b - Speed: ~40 tokens/sec - Cost: free (local) Escalation: Gemma4-12B → DeepSeek V4 Pro → Claude Opus → GPT-5.5 → all 8
2.4 KiB
SKILL: break-glass
⛔ THIS IS FOR UNSOLVABLE PROBLEMS ONLY
DO NOT USE THIS SKILL UNLESS ALL OF THE FOLLOWING ARE TRUE:
- The user has no solution — they do not know the answer
- All free models have been tried and failed (including local Gemma4-12B)
- All cheap models (< $0.50/call) have been tried and failed
- The problem is genuinely novel (not a rehash of known issues)
- The problem is blocking progress (not a nice-to-have)
This skill costs real money. Each invocation = $0.10-$3.00.
If the problem is solvable by switching models, just switch models. If the problem is solvable by reading docs, just read docs. If the problem is solvable by asking the user, just ask the user. If a free model can solve it, use the free model. If the local Gemma4-12B can solve it, use Gemma4-12B.
This skill is the last resort before giving up.
Primary Model
Gemma4-12B (local, free, fast) — use this first for all questions.
- Endpoint:
http://127.0.0.1:8081/v1 - Model ID:
gemma4-12b - API key:
none(any dummy string) - Speed: ~40 tokens/sec generation
- Strengths: mathematical reasoning, code, Lean 4 proofs
Trigger
break glass: <problem statement>
What It Does
Selects the optimal model panel using dual quaternion chiral ratio. Each model is a dual quaternion (real = compressive, dual = anti-compressive). χ = |real|² / (|real|² + |dual|²) determines selection.
Model Selection (dual quaternion χ at threshold 0.99)
| Problem | Models | Cost |
|---|---|---|
| lean_proof | DeepSeek V4 Pro | $0.10-0.50 |
| code_bug | Kimi K2.6 | $0.10-0.30 |
| architecture | Claude Opus | $0.50-2.00 |
| math_novel | DeepSeek V4 Pro | $0.10-0.50 |
| infra_debug | GPT 5.5 + DeepSeek Flash | $0.30-1.00 |
| hard_wall | Claude Opus + DeepSeek Flash | $0.50-3.00 |
Escalation
- Gemma4-12B (local, free) — try first
- DeepSeek V4 Pro — if Gemma stuck ($0.27/$1.10)
- Claude Opus — if DeepSeek stuck ($15/$75)
- GPT-5.5 — if Opus stuck ($10/$30)
- All 8 models — hard wall ($5-10 total)
Files
| File | Purpose |
|---|---|
4-Infrastructure/shim/dual_quat_model_selector.py |
Dual quaternion model selector |
4-Infrastructure/shim/model_theorem_matrix.py |
Degenerate sector analysis |
6-Documentation/docs/specs/break_glass_problem_statement.md |
Problem statement |
6-Documentation/docs/specs/break_glass_test_list.md |
Test list |