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.
Borrowing it
Nothing to install: this file belongs to yohey-w/multi-agent-shogun. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yohey-w/multi-agent-shogun/main/.github/copilot-instructions.mdgit 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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" 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 5.1 | $0.05048 | $0.05048 |
| Opus 5.5 | $0.02019 | $0.02019 |
| Sonnet 5.5 | $0.01010 | $0.01010 |
| Haiku 4.5 | $0.00505 | $0.00505 |
Grade A, and why
multi-agent-shogun copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- multi-agent-shogun CLAUDE.md — 91% identical, 626 lines differ
- multi-agent-shogun AGENTS.md — 83% identical, 30 lines differ
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Procedures
Session Start / Recovery (all agents)
This is ONE procedure for ALL situations: fresh start, compaction, session continuation, or any state where you see copilot-instructions.md. You cannot distinguish these cases, and you don't need to. Always follow the same steps.
- Identify self:
tmux display-message -t "$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.
- 1mo 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 (1,424 stars, last pushed 2mo ago), licensed MIT. It adds 5,048 tokens to every session, about $0.0202 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.