Agent skill

Shogun Model List

by yohey-w in yohey-w/multi-agent-shogun

All AI CLI tools × available models × required subscriptions × Bloom max capability.

MITAuto-check passedAgent Workflows

Install Shogun Model List

skills CLI
$ npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yohey-w/multi-agent-shogun shogun-model-list --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/yohey-w/multi-agent-shogun.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/shogun-model-list .claude/skills/shogun-model-list && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
shogun-model-list
GitHub stars
1.4k
Token cost
~1.3k tokens
SKILL.md length
511 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

All AI CLI tools × available models × required subscriptions × Bloom max capability.

  • Tasks that involve Multi-agent orchestration
  • SKILL.md covers Overview, When to Use, Instructions and Bloom's Taxonomy — Quick…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Shogun Model List is an agent skill from yohey-w/multi-agent-shogun. All AI CLI tools × available models × required subscriptions × Bloom max capability. Reference table for choosing which models to use in multi-agent-shogun. Trigger: "model list", "what models", "model comparison", "which models can I use", "モデル一覧", "モデル比較", "どのモデルが使える"

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: Samurai-inspired multi-agent system for Claude Code. Orchestrate parallel AI tasks via tmux with shogun → karo → ashigaru hierarchy. The licence is MIT.

When your agent uses it

  • Tasks that involve Multi-agent orchestration

Example prompts

  • “model list”
  • “what models”
  • “model comparison”
  • “/shogun-model-list”

What it can do on your machine

Read from SKILL.md and the folder at commit aff8dc8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Shogun Model List loads about 1.3k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 511 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from yohey-w/multi-agent-shogun at commit aff8dc8, republished under its MIT licence (© yohey-w). 511 words, ~1,294 tokens.

Download SKILL.mdSave it as .claude/skills/shogun-model-list/SKILL.md (or your agent's skills folder).
name
shogun-model-list
description
All AI CLI tools × available models × required subscriptions × Bloom max capability. Reference table for choosing which models to use in multi-agent-shogun. Trigger: "model list", "what models", "model comparison", "which models can I use", "モデル一覧", "モデル比較", "どのモデルが使える"

/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

LevelCategoryTask Examples
L1RememberFile copy, template apply, data format
L2UnderstandSummarize, explain, translate
L3ApplyImplement known patterns, generate boilerplate
L4AnalyzeDebug, code review, root cause analysis
L5EvaluateArchitecture review, design trade-off judgment
L6CreateNovel architecture, requirements design, strategy

Claude Code (Anthropic)

Subscription Plans
PlanMonthlyOpus 4.6Sonnet 4.6Haiku 4.5Extended 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
ModelBloom MaxBest ForNotes
claude-haiku-4-5-20251001L3High-volume L1-L3 tasks, fast responses$1/$5/M; SWE-bench 73.3% (4pp below Sonnet 4.5); extended thinking available
claude-sonnet-4-6L5Code review, analysis, orchestrationBest balance — $3/$15/M; SWE-bench 79.6%, 1M context
claude-opus-4-6L6Novel 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.

AgentRecommended ModelBloom UseReason
Shogun (You)claude-opus-4-6L6Strategic decisions, final review
Karo (Manager)claude-sonnet-4-6L4-L5Task orchestration; Opus is overkill here
Gunshi (Strategist)claude-opus-4-6L5-L6Deep QC, architecture evaluation
Ashigaru 1–7Configured via capability_tiersL1-L3Workers — routed by Bloom level

OpenAI Codex CLI

Show full SKILL.md (215 more words)Show less
Subscription Plans
PlanMonthlySparkgpt-5.3-codexcodex-minicodex-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
ModelBloom MaxBest ForNotes
gpt-5.3-codex-sparkL3High-volume L1-L3 tasks at 1000+ tok/secSeparate quota from gpt-5.3-codex; blazing fast
gpt-5-codex-miniL2Minimal quota usage for trivial tasksLightweight alternative to Spark
gpt-5.3-codexL4Analysis, debugging, code reviewStandard workhorse
gpt-5.1-codex-maxL5Complex analysis, design evaluationHighest 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)

ModelCLIBloom MaxMin SubscriptionNotes
gpt-5-codex-miniCodex CLIL2ChatGPT PlusLightweight, minimal quota
claude-haiku-4-5-20251001Claude CodeL3Claude FreeBest Claude cost-efficiency; SWE-bench 73.3%
gpt-5.3-codex-sparkCodex CLIL3ChatGPT Pro1000+ tok/s; Terminal-Bench 58.4%
gpt-5.3-codexCodex CLIL4ChatGPT PlusTerminal-Bench 77.3%; 400K+ context
claude-sonnet-4-6Claude CodeL5Claude Free$3/$15/M; SWE-bench 79.6%; 1M context; math +27pt vs Sonnet 4.5
gpt-5.1-codex-maxCodex CLIL5ChatGPT PlusHighest Codex capability
claude-opus-4-6Claude CodeL6Claude 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"

© yohey-w, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/shogun-model-list of yohey-w/multi-agent-shogun.

Open the folder on GitHubat commit aff8dc8

Compare with similar skills

Shogun Model List next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Shogun Model List compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shogun Model List this skillyohey-w/multi-agent-shogun1.4k—~1.3kAutomated safety check: PassMIT
Orca CLIstablyai/orca89k2 repos~593Automated safety check: PassMIT
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Paseo Committeegetpaseo/paseo20k1 repos~496Automated safety check: PassCustom licence
Context Mode Opsmksglu/context-mode26k—~6kAutomated safety check: PassCustom licence
Antigravity CLI RunnerCherryHQ/cherry-studio53k—~531Automated safety check: PassAGPL-3.0

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Questions about Shogun Model List

What does Shogun Model List do?

All AI CLI tools × available models × required subscriptions × Bloom max capability. Shogun Model List is an agent skill from yohey-w/multi-agent-shogun. All AI CLI tools × available models × required subscriptions × Bloom max capability.

When should I use Shogun Model List?

Shogun Model List fits situations like: tasks that involve Multi-agent orchestration.

How do I install Shogun Model List in Claude Code?

Run `npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a claude-code`. Or copy the skill folder (skills/shogun-model-list in yohey-w/multi-agent-shogun) into .claude/skills/shogun-model-list in your project. Claude Code loads it when a task matches its description.

How do I install Shogun Model List in Codex?

Run `npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a codex`. Or copy the skill folder (skills/shogun-model-list in yohey-w/multi-agent-shogun) into .agents/skills/shogun-model-list in your project. Codex loads it when a task matches its description.

Can I use Shogun Model List in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shogun-model-list, .gemini/skills/shogun-model-list, .github/skills/shogun-model-list and .opencode/skills/shogun-model-list in your project.

What does Shogun Model List need to run?

SKILL.md names no scripts, command-line tools or credentials: Shogun Model List is instructions for the agent only.

Does Shogun Model List access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Shogun Model List safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Shogun Model List use?

Shogun Model List is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Shogun Model List use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Shogun Model List?

Skills that share tags, products or a category with Shogun Model List: Orca CLI (stablyai/orca, 89k stars), O2 Review Loop (openobserve/openobserve, 22k stars), Paseo Committee (getpaseo/paseo, 20k stars) and Context Mode Ops (mksglu/context-mode, 26k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shogun Model List?

yohey-w (a GitHub user) maintains it in yohey-w/multi-agent-shogun, which has 1,425 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on August 6, 2026.

Source: yohey-w/multi-agent-shogun on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.