Skill1.3k estrellas del repoactualizado 7d ago
shogun-model-list
The shogun-model-list skill displays a comprehensive reference table of Claude models, their subscription requirements, pricing, and maximum Bloom cognitive levels. Use this before configuring capability tiers in the multi-agent-shogun framework to understand which models support specific task complexity levels and to match your subscription plan to available models for orchestrating agent workflows.
Instalar en Claude Code
Copiargit clone --depth 1 https://github.com/yohey-w/multi-agent-shogun /tmp/shogun-model-list && cp -r /tmp/shogun-model-list/skills/shogun-model-list ~/.claude/skills/shogun-model-listDespués abre una sesión nueva de Claude Code; el skill carga automáticamente.
Definición
SKILL.md
# /shogun-model-list — Model Capability Reference ## Overview Displays a complete reference table of all AI CLI tools, models, required subscriptions, and maximum Bloom cognitive level per model. Use this before configuring `capability_tiers` in `config/settings.yaml`. ## When to Use - "What models can I use with my subscription?" - "Which model handles L5 tasks?" - "Compare Claude vs Codex model tiers" - "Show me all models" / "モデル一覧" - Before running `/shogun-bloom-config` to understand the landscape ## Instructions Output the reference tables below directly to the user. No tool calls required. --- ## Bloom's Taxonomy — Quick Reference | Level | Category | Task Examples | |-------|----------|---------------| | L1 | Remember | File copy, template apply, data format | | L2 | Understand | Summarize, explain, translate | | L3 | Apply | Implement known patterns, generate boilerplate | | L4 | Analyze | Debug, code review, root cause analysis | | L5 | Evaluate | Architecture review, design trade-off judgment | | L6 | Create | Novel architecture, requirements design, strategy | --- ## Claude Code (Anthropic) ### Subscription Plans | Plan | Monthly | Opus 4.6 | Sonnet 4.6 | Haiku 4.5 | Extended Thinking | |------|---------|----------|------------|-----------|-------------------| | Free | $0 | ✗ | ✓ | ✓ | ✗ | | Pro | $20 | ✓ | ✓ | ✓ | ✓ | | Max 5x | $100 | ✓ | ✓ | ✓ | ✓ | | Max 20x | $200 | ✓ | ✓ | ✓ | ✓ | > Pro/Max 5x/Max 20x have the same model access. The difference is usage quota (5x/20x = multiplier of Pro). ### Claude Models × Bloom Capability | Model | Bloom Max | Best For | Notes | |-------|-----------|----------|-------| | `claude-haiku-4-5-20251001` | **L3** | High-volume L1-L3 tasks, fast responses | $1/$5/M; SWE-bench 73.3% (4pp below Sonnet 4.5); extended thinking available | | `claude-sonnet-4-6` | **L5** | Code review, analysis, orchestration | Best balance — $3/$15/M; SWE-bench 79.6%, 1M context | | `claude-opus-4-6` | **L6** | Novel design, strategy, architecture | $5/$25/M; SWE-bench 80.8% (only 1.2pp above Sonnet 4.6); use for true L6 only | > **Extended Thinking** (available Pro+): Adds ~1 Bloom level of effective capability on complex reasoning tasks. ### Fixed Agent Assignments (Recommended) | Agent | Recommended Model | Bloom Use | Reason | |-------|------------------|-----------|--------| | Shogun (You) | `claude-opus-4-6` | L6 | Strategic decisions, final review | | Karo (Manager) | `claude-sonnet-4-6` | L4-L5 | Task orchestration; Opus is overkill here | | Gunshi (Strategist) | `claude-opus-4-6` | L5-L6 | Deep QC, architecture evaluation | | Ashigaru 1–7 | Configured via `capability_tiers` | L1-L3 | Workers — routed by Bloom level | --- ## OpenAI Codex CLI ### Subscription Plans | Plan | Monthly | Spark | gpt-5.3-codex | codex-mini | codex-max | |------|---------|-------|---------------|------------|-----------| | Free / Go ($8) | $0–$8 | ✗ | ✗ (limited) | ✗ | ✗ | | Plus | $20 | ✗ (**Pro only**) | ✓ | ✓ | ✓ | | Pro | $200 | ✓ | ✓ | ✓ | ✓ | > **gpt-5.3-codex-spark requires ChatGPT Pro ($200).** ChatGPT Plus ($20) does NOT include Spark. ### Codex Models × Bloom Capability | Model | Bloom Max | Best For | Notes | |-------|-----------|----------|-------| | `gpt-5.3-codex-spark` | **L3** | High-volume L1-L3 tasks at 1000+ tok/sec | Separate quota from gpt-5.3-codex; blazing fast | | `gpt-5-codex-mini` | **L2** | Minimal quota usage for trivial tasks | Lightweight alternative to Spark | | `gpt-5.3-codex` | **L4** | Analysis, debugging, code review | Standard workhorse | | `gpt-5.1-codex-max` | **L5** | Complex analysis, design evaluation | Highest Codex capability | > **L6 gap**: No Codex model reliably handles novel creative design (L6). For L6 tasks, Claude Opus is recommended. --- ## Capability Summary (All Models, Cross-CLI) | Model | CLI | Bloom Max | Min Subscription | Notes | |-------|-----|-----------|-----------------|-------| | `gpt-5-codex-mini` | Codex CLI | L2 | ChatGPT Plus | Lightweight, minimal quota | | `claude-haiku-4-5-20251001` | Claude Code | **L3** | Claude Free | Best Claude cost-efficiency; SWE-bench 73.3% | | `gpt-5.3-codex-spark` | Codex CLI | L3 | **ChatGPT Pro** | 1000+ tok/s; Terminal-Bench 58.4% | | `gpt-5.3-codex` | Codex CLI | L4 | ChatGPT Plus | Terminal-Bench 77.3%; 400K+ context | | `claude-sonnet-4-6` | Claude Code | L5 | Claude Free | $3/$15/M; SWE-bench 79.6%; 1M context; math +27pt vs Sonnet 4.5 | | `gpt-5.1-codex-max` | Codex CLI | L5 | ChatGPT Plus | Highest Codex capability | | `claude-opus-4-6` | Claude Code | L6 | Claude Pro | $5/$25/M; SWE-bench 80.8%; reserve for true L6 tasks | --- ## Next Step To generate a ready-to-paste `capability_tiers` YAML for your subscription: ``` /shogun-bloom-config ``` Or tell the Shogun: "set up capability tiers for my subscription"
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