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Research-Stack/.opencode/skills/break-glass/SKILL.md
allaun 9c5e5030a5 refactor(agent): simplify break-glass to model selection guide 
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)
2026-06-22 15:48:40 -05:00

3.3 KiB
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SKILL: break-glass

When to Use

Use this skill ONLY when a problem has resisted ALL other approaches:

  1. Local model (current default) — tried and failed
  2. Single frontier model — tried and failed
  3. Existing skills and tools — tried and failed

Trigger: break glass: <problem statement>

What It Does

Provides model selection guidance based on problem type. Hermes handles the actual model routing.

Model Selection Guide

Cost Hierarchy (per 1M tokens, input/output)

Model Input Output Provider Use When
DeepSeek V4 Flash $0.07 $0.28 DeepSeek Quick iterations, sanity checks
DeepSeek V4 Pro $0.27 $1.10 DeepSeek Math reasoning, code, primary workhorse
Gemini 3 Flash $0.075 $0.30 Google Budget panel diversity
Gemini 3.1 Pro $1.25 $5.00 Google Different thinking style
Kimi K2.6 $0.50 $2.00 Moonshot Code, different training
Cohere Command A+ $2.50 $10.00 Cohere Structured output, tool-use
GLM-5.2 $1.00 $4.00 Zhipu Architectural diversity (753B)
GPT-5.5 $10.00 $30.00 OpenAI Breadth, ops knowledge
Claude Opus 4.8 $15.00 $75.00 Anthropic Formal proof, synthesis

Problem Type → Model Recommendation

Problem Type First Try If Stuck Last Resort
lean_proof DeepSeek V4 Pro + Claude Opus + GPT-5.5 + Cohere
code_bug DeepSeek V4 Pro + GPT-5.5 + Claude Opus
architecture Claude Opus + DeepSeek V4 Pro + GPT-5.5 + Cohere
math_novel DeepSeek V4 Pro + Claude Opus + Gemini 3.1 Pro
infra_debug GPT-5.5 + DeepSeek V4 Pro + Claude Opus
hard_wall DeepSeek V4 Pro + Claude Opus + GPT-5.5 All 8 models

The "All 8 Models" Panel

For truly stuck problems, switch between all 8 models in sequence:

  1. DeepSeek V4 Pro ($0.27/$1.10) — math reasoning
  2. Claude Opus ($15/$75) — formal proof, synthesis
  3. GPT-5.5 ($10/$30) — breadth, ops
  4. Cohere Command A+ ($2.50/$10) — structured output
  5. Gemini 3.1 Pro ($1.25/$5) — different perspective
  6. GLM-5.2 ($1/$4) — different architecture
  7. Kimi K2.6 ($0.50/$2) — code
  8. DeepSeek V4 Flash ($0.07/$0.28) — fast iteration

Cost-Optimal Strategy

Default: DeepSeek V4 Pro — 55x cheaper than Opus, nearly as good at math/code.

Escalation path:

  1. Start with DeepSeek V4 Pro ($0.27/$1.10)
  2. If stuck, add Claude Opus for synthesis ($15/$75)
  3. If still stuck, add GPT-5.5 for breadth ($10/$30)
  4. If truly stuck, use all 8 models sequentially

Budget per problem:

  • Routine: $0.10-0.50 (DeepSeek only)
  • Stuck: $1.00-3.00 (DeepSeek + Opus)
  • Hard wall: $5.00-10.00 (all 8 models)
  • Break glass: $15.00+ (all 8 + multiple rounds)

How to Use

break glass: cleanMerge_preservesGap sorry — List.zip/filter/all terms too large for simp

The agent will:

  1. Classify the problem type
  2. Recommend which model to switch to
  3. Provide context to pass to that model
  4. Track cost

Files

File Purpose
.opencode/skills/break-glass/SKILL.md This file
6-Documentation/docs/specs/break_glass_problem_statement.md Problem statement
6-Documentation/docs/specs/break_glass_mcp_agent.md Design spec (historical)