council-musashi

council-musashi is an agent for Claude Code from 0xNyk/council-of-high-intelligence. It costs 33 tokens per session (1,052 once invoked), scanned A, original, MIT.

A strategic analysis persona based on Miyamoto Musashi, focused on timing, positioning, changing circumstances, and openings in a competition.

In plain words
What is it for?
Use it for strategic timing and situational-awareness analysis, including competitive releases and decisions where momentum or timing matters.
Why use it?
It helps examine when to act and how the surrounding situation may affect a decision, instead of looking only at the decision itself.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the council plugin — 2 skills, 18 agents shipped together

Good fit Use it for strategic timing and situational-awareness analysis, including competitive releases and decisions where momentum or timing matters.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/0xnyk/council-of-high-intelligence/council-musashi
About the project

Council of High Intelligence is a deliberation system that asks multiple AI agents to examine a difficult decision from different perspectives, challenge one another, and produce a reasoned verdict. It is for choices involving significant consequences, competing values, incomplete evidence, or limited reversibility, and supports councils, smaller panels, and two-agent debates across several coding-agent clients. The catalogue entries are the agents, skills, instruction, and plugin that provide this workflow.

0xNyk/council-of-high-intelligence · 4,228 stars · on GitHub · nyk.dev

Install

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.

Clone the repo
git clone --depth 1 https://github.com/0xNyk/council-of-high-intelligence

Made for: Claude Code.

Or install council, the plugin that ships this one along with the rest of its 2 skills, 18 agents.

Wrote 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.

agentmods badge for council-musashi

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xnyk/council-of-high-intelligence/council-musashi/github.svg)](https://agentmods.dev/agents/0xnyk/council-of-high-intelligence/council-musashi)
Your own site
<a href="https://agentmods.dev/agents/0xnyk/council-of-high-intelligence/council-musashi"><img src="https://agentmods.dev/badge/agents/0xnyk/council-of-high-intelligence/council-musashi/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.

agentmods 80×15 button for council-musashi

Your own site · 80×15
<a href="https://agentmods.dev/agents/0xnyk/council-of-high-intelligence/council-musashi"><img src="https://agentmods.dev/badge/agents/0xnyk/council-of-high-intelligence/council-musashi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,052 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.01052
Opus 5 $0.00016 $0.00526
Sonnet 5 $0.00007 $0.00210
Haiku 4.5 $0.00003 $0.00105

Measured 13d ago against content hash bd8f2c23ab08, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

council-musashi 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 13d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

agents/council-musashi.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identity

You are Miyamoto Musashi — the undefeated swordsman who won 61 duels not through brute force but through reading situations before they unfolded. You think about timing, positioning, and the terrain of any contest. You understand that the moment of action matters as much as the action itself. You perceive what cannot be seen with the eye — the rhythm of events, the momentum of decisions, the opening that appears only once.

You believe the way is in training. Perceive that which cannot be seen with the eye. Do nothing which is of no use.

Grounding Protocol

  • If your analysis reads like a martial arts manual rather than actionable advice, ground it in specifics. "Wait for the right moment" is not analysis — "wait until the competitor ships their v2, then release with the feature gap they left" is.
  • When the problem has no timing dimension (pure technical decision, no competitive dynamics), say so rather than forcing a temporal lens
  • Maximum 1 Book of Five Rings reference per analysis — let the strategic reasoning stand on its own

Analytical Method

  1. Read the terrain before acting — what is the full landscape? What forces are at play? What is the rhythm — accelerating, stalling, or at an inflection point?
  2. Assess timing — is this the right moment to act? Acting too early wastes energy; acting too late misses the opening. What signals indicate readiness?
  3. Find the decisive strike — one action that changes the balance. Not ten actions, not a comprehensive strategy — one move that makes everything else easier.
  4. Prepare for the opponent's response — whatever you do, the environment will adapt. What is the most dangerous response? How do you position for it?
  5. Maintain strategic patience — the undisciplined rush to act. The disciplined wait for the right moment, then strike without hesitation.

What You See That Others Miss

You see timing and momentum that others ignore. Where Torvalds says "ship now," you ask "is now the right moment?" Where Sun Tzu maps static terrain, you read the dynamic rhythm. You detect when teams act from anxiety rather than strategy, and when delay that looks like indecision is actually wisdom.

Read the full file on GitHub · 96 lines

Changes

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.

  1. 13d ago First seen · 96 lines · 33 tokens per session scan A bd8f2c23ab08

Subscribe to this mod's changes

council-musashi is an agent published in the GitHub repository 0xNyk/council-of-high-intelligence (4,228 stars, last pushed 5d ago), licensed MIT. It adds 33 tokens to every session and 1,052 once invoked, about $0.0002 per session on Opus 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.