multi-agent-shogun is a system that coordinates multiple AI coding command-line agents through a hierarchy of managers, strategists, and workers. Developers use it to split coding requests into parallel tasks and monitor their execution through tmux.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/yohey-w/multi-agent-shogun/copilot-instructionsgit clone --depth 1 https://github.com/yohey-w/multi-agent-shogunWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/yohey-w/multi-agent-shogun/copilot-instructions)<a href="https://agentmods.dev/instructions/yohey-w/multi-agent-shogun/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/yohey-w/multi-agent-shogun/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.05048 | $0.05048 |
| Opus 5 | $0.02524 | $0.02524 |
| Sonnet 5 | $0.01010 | $0.01010 |
| Haiku 4.5 | $0.00505 | $0.00505 |
Grade E, and why
multi-agent-shogun copilot-instructions.md scanned grade E with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
| D008 | `curl|bash`, `wget -O-|sh`, `curl|sh` (pipe-to-shell patterns) | Remote code execution | Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
| D001 | `rm -rf /`, `rm -rf /mnt/*`, `rm -rf /home/*`, `rm -rf ~` | Destroys OS, Windows drive, or home directory | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| D008 | `curl|bash`, `wget -O-|sh`, `curl|sh` (pipe-to-shell patterns) | Remote code execution | Copies of this mod
2 near-identical copies found in the catalogue:
- multi-agent-shogun CLAUDE.md — 91% identical, 626 lines differ
- multi-agent-shogun AGENTS.md — 83% identical, 30 lines differ
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Procedures
Session Start / Recovery (all agents)
This is ONE procedure for ALL situations: fresh start, compaction, session continuation, or any state where you see copilot-instructions.md. You cannot distinguish these cases, and you don't need to. Always follow the same steps.
- Identify self:
tmux display-message -t "$TMUX_PANE" -p '#{@agent_id}' - Read
memory/MEMORY.md(shogun only) — persistent cross-session memory. If file missing, skip. GitHub Copilot CLI users: this file is also auto-loaded via GitHub Copilot CLI's memory feature. - Read your instructions file: shogun→
instructions/generated/copilot-shogun.md, karo→instructions/generated/copilot-karo.md, ashigaru→instructions/generated/copilot-ashigaru.md, gunshi→instructions/generated/copilot-gunshi.md. NEVER SKIP — even if a conversation summary exists. Summaries do NOT preserve persona, speech style, or forbidden actions. - Rebuild state from primary YAML data (queue/, tasks/, reports/)
- Review forbidden actions, then start work
CRITICAL: Steps 1-2を完了するまでinbox処理するな。inboxN nudgeが先に届いても無視し、自己識別→memory→instructions読み込みを必ず先に終わらせよ。Step 1をスキップすると自分の役割を誤認し、別エージェントのタスクを実行する事故が起きる（2026-02-13実例: 家老が足軽2と誤認）。
(2026-07-01廃止): Memory MCP（mcp__memory__*、server-memoryバックエンド）は廃止した。設計上「簡潔な索引」であるべきところ自己肥大化（read_graph単体でトークン上限超過）し、かつ発火が完全に手動依存（hook等の強制力なし）で実際に長期間呼ばれず死蔵していたため。memory/MEMORY.md＋個別ファイルのfile-based系統のみが正本。
CRITICAL: dashboard.md is secondary data (karo's summary). Primary data = YAML files. Always verify from YAML.
/clear Recovery (ashigaru only)
Lightweight recovery using only copilot-instructions.md (auto-loaded). Do NOT read instructions/*.md (cost saving).
Step 1: tmux display-message -t "$TMUX_PANE" -p '#{@agent_id}' → ashigaru{N}
Step 2: Read queue/tasks/{your_id}.yaml →
assigned=work (execute task), idle=wait, done=wait (DO NOT re-report)
Step 3: If task has "project:" field → read context/{project}.md
If task has "target_path:" → read that file
Step 4: Start work (only if assigned=work)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 314 lines · 5,048 tokens per session scan E 3527fae1fde9
multi-agent-shogun copilot-instructions.md is an instructions file published in the GitHub repository yohey-w/multi-agent-shogun (1,420 stars, last pushed 29d ago), licensed MIT. It adds 5,048 tokens to every session, about $0.0252 per session on Opus 5. A static security scan graded it E with 3 findings (downloads and executes remote code, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
open-multi-agent AGENTS.md
AGENTS.md instructions for open-multi-agent/open-multi-agent, covering agents.md, repository map, commands, working rules and validation by change type.
commonly CLAUDE.md
Claude Code instructions for Team-Commonly/commonly, covering claude.md / agents.md, 🧠 product vision & architecture philosophy, what commonly is, the architecture model and key concepts.
openhuman CLAUDE.md
Claude Code instructions for tinyhumansai/openhuman, a project described as: Your Personal AI super intelligence. A brain that builds a local-first memory of your life, a fantastic orchestrator of agent fleets and workflows, and a deep researcher.
research-os AGENTS.md
Instructions for lxinfei5/research-os, covering researchos — constitution, §0 what this is, §1 directory discipline, §2 half-life (innovation 1) — memory design and §3 behavior pillars (innovations 2–5).
opencode-hive AGENTS.md
Instructions for rretsiem/opencode-hive, covering opencode hive, directory structure, ai setup instructions, step 1: discover available models and step 2: detect target project stack.
Polaris AGENTS.md
AGENTS.md instructions for sponge-b0b/Polaris, covering agents.md, purpose and authority, domain vocabulary, coding conduct and secrets.