4 dimensions × 2 models each, structured like 16D braid:
- Math: DeepSeek V4 Pro + Gemini 3.1 Pro
- Proof: Claude Opus + Cohere Command A+
- Code: GPT-5.5 + Kimi K2.6
- Diversity: GLM-5.2 + DeepSeek V4 Flash
Each dimension fuses independently, then results fuse together.
Maps to OpenRouter Fusion with 8-model panel.
Cost: -10 for full fusion, /usr/bin/bash.10-2 for single dimension.
OpenCode handles provider routing. The skill is a reference card
for which model to switch to. Nothing more.
DeepSeek V4 Pro: /usr/bin/bash.27/.10 (55x cheaper than Opus)
Claude Opus: 5/5 (baseline)
Hermes already handles model routing. Remove MCP server, keep skill
as a cost-optimized model selection guide.
Key insight: DeepSeek V4 Pro is 55x cheaper than Claude Opus and
nearly as good at math/code. Default to DeepSeek, escalate to Opus
only when stuck.
Removed: break_glass_mcp.py (unnecessary — Hermes handles routing)
