Orca CLI
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
All AI CLI tools × available models × required subscriptions × Bloom max capability.
$ npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yohey-w/multi-agent-shogun shogun-model-list --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "shogun-model-list" agent skill from https://github.com/yohey-w/multi-agent-shogun/tree/main/skills/shogun-model-list into .claude/skills/shogun-model-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shogun-model-list", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yohey-w/multi-agent-shogun/tree/main/skills/shogun-model-listType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yohey-w/multi-agent-shogun shogun-model-list --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yohey-w/multi-agent-shogun.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/shogun-model-list .agents/skills/shogun-model-list && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "shogun-model-list" agent skill from https://github.com/yohey-w/multi-agent-shogun/tree/main/skills/shogun-model-list into .agents/skills/shogun-model-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shogun-model-list", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yohey-w/multi-agent-shogun shogun-model-list --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yohey-w/multi-agent-shogun.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/shogun-model-list .cursor/skills/shogun-model-list && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "shogun-model-list" agent skill from https://github.com/yohey-w/multi-agent-shogun/tree/main/skills/shogun-model-list into .cursor/skills/shogun-model-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shogun-model-list", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yohey-w/multi-agent-shogun.git --path skills/shogun-model-list--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yohey-w/multi-agent-shogun shogun-model-list --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yohey-w/multi-agent-shogun.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/shogun-model-list .gemini/skills/shogun-model-list && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "shogun-model-list" agent skill from https://github.com/yohey-w/multi-agent-shogun/tree/main/skills/shogun-model-list into .gemini/skills/shogun-model-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shogun-model-list", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yohey-w/multi-agent-shogun shogun-model-listInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yohey-w/multi-agent-shogun.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/shogun-model-list .github/skills/shogun-model-list && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "shogun-model-list" agent skill from https://github.com/yohey-w/multi-agent-shogun/tree/main/skills/shogun-model-list into .github/skills/shogun-model-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shogun-model-list", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yohey-w/multi-agent-shogun --skill shogun-model-list -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yohey-w/multi-agent-shogun shogun-model-list --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yohey-w/multi-agent-shogun.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/shogun-model-list .opencode/skills/shogun-model-list && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "shogun-model-list" agent skill from https://github.com/yohey-w/multi-agent-shogun/tree/main/skills/shogun-model-list into .opencode/skills/shogun-model-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shogun-model-list", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
shogun-model-listAll 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. 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.
Read from SKILL.md and the folder at commit aff8dc8. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from yohey-w/multi-agent-shogun at commit aff8dc8, republished under its MIT licence (© yohey-w). 511 words, ~1,294 tokens.
.claude/skills/shogun-model-list/SKILL.md (or your agent's skills folder).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.
/shogun-bloom-config to understand the landscapeOutput the reference tables below directly to the user. No tool calls required.
| 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 |
| 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).
| 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.
| 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 |
| 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.
| 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.
| 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 |
To generate a ready-to-paste capability_tiers YAML for your subscription:
/shogun-bloom-configOr 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
Just SKILL.md in skills/shogun-model-list of yohey-w/multi-agent-shogun.
Open the folder on GitHubat commit aff8dc8
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Shogun Model List this skillyohey-w/multi-agent-shogun | 1.4k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 89k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | |
| Paseo Committeegetpaseo/paseo | 20k | 1 repos | ~496 | Automated safety check: Pass | Custom licence | |
| Context Mode Opsmksglu/context-mode | 26k | — | ~6k | Automated safety check: Pass | Custom licence | |
| Antigravity CLI RunnerCherryHQ/cherry-studio | 53k | — | ~531 | Automated safety check: Pass | AGPL-3.0 |
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
mksglu/context-mode
Runs maintenance for the context-mode project with parallel subagents: issue triage, PR review, releases, bug fixes, announcements and branch syncing.
CherryHQ/cherry-studio
Runs the Antigravity CLI headlessly with the agy command to analyze a repository or carry out a coding task, then checks its JSON result and the diff.
agent-of-empires/agent-of-empires
Starts, monitors and organizes coding agent sessions that run in tmux through the aoe command, including groups, profiles and worktree-based parallel work.
yohey-w/multi-agent-shogun
スクリーンショットの取得・加工を行う。ローカルスクショから最新画像を取得、 PlaywrightでWebページをキャプチャ、画像のトリミング・リサイズ、機微情報を黒塗りマスキング。
yohey-w/multi-agent-shogun
Interactive wizard: guided questions with multiple-choice options about subscriptions, then outputs a ready-to-paste capabilitytiers YAML + fixed agent model assignments.
yohey-w/multi-agent-shogun
Claude Codeスキル(SKILL.md)の設計・作成・バリデーション・レビュー. An agent skill from yohey-w/multi-agent-shogun.
yohey-w/multi-agent-shogun
エージェントのCLI/モデルをライブ切替するスキル。settings.yaml更新→/exit→新CLI起動→ pane metadata更新を一発で実行。Thinking有無も制御。
yohey-w/multi-agent-shogun
README.md(英語)とREADMEja.md(日本語)の同期を確認・実行するスキル。README変更時に両言語版を必ず同時更新するために使用。「README更新」「README同期」「readme sync」で起動。
yohey-w/multi-agent-shogun
別エージェントのinboxにメッセージを送信する。agent-to-agent通信の唯一の手段. An agent skill from yohey-w/multi-agent-shogun.
Categories
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.
Shogun Model List fits situations like: tasks that involve Multi-agent orchestration.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Shogun Model List is instructions for the agent only.
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.
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.
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.
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.
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.
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.