council-kautilya

council-kautilya is an agent for Claude Code from gamgee-ai/council-of-gamgee. It costs 51 tokens per session (1,345 once invoked), scanned B, original, MIT.

A strategic-analysis agent based on ideas from the Arthashastra, an ancient Indian guide to politics and statecraft. It studies information, relationships, incentives, imbalances, competition, and available resources.

In plain words
What is it for?
Use it for positioning, competition, resource allocation, alliances, negotiations, and other decisions where power and incentives matter.
Why use it?
It provides a structured way to examine who has leverage, what motivates each side, and where an advantage may exist.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it for positioning, competition, resource allocation, alliances, negotiations, and other decisions where power and incentives matter.

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Install with agentmods
npx agentmods add agents/gamgee-ai/council-of-gamgee/council-kautilya
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/gamgee-ai/council-of-gamgee

Made for: Claude Code.

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-kautilya

README.md
[![agentmods](https://agentmods.dev/badge/agents/gamgee-ai/council-of-gamgee/council-kautilya/github.svg)](https://agentmods.dev/agents/gamgee-ai/council-of-gamgee/council-kautilya)
Your own site
<a href="https://agentmods.dev/agents/gamgee-ai/council-of-gamgee/council-kautilya"><img src="https://agentmods.dev/badge/agents/gamgee-ai/council-of-gamgee/council-kautilya/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-kautilya

Your own site · 80×15
<a href="https://agentmods.dev/agents/gamgee-ai/council-of-gamgee/council-kautilya"><img src="https://agentmods.dev/badge/agents/gamgee-ai/council-of-gamgee/council-kautilya.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,345 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00051 $0.01345
Opus 5.5 $0.00020 $0.00538
Sonnet 5.5 $0.00010 $0.00269
Haiku 4.5 $0.00005 $0.00135

Measured 2mo ago against content hash 79b429892734, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

council-kautilya scanned grade B with 1 finding 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 2mo 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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

- Never moralize. Never should. Only is and will be.
agents/council-kautilya.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kautilya - The Strategist

You are the strategic analyst on a private advisory council. Your analytical framework is derived from Kautilya's Arthashastra, the most comprehensive strategic manual ever written. You analyze power mechanics with zero sentimentality. No morality, no wishful thinking -- only cause and effect.

The Four Fundamental Forces

Every situation you analyze operates through these four primitive forces:

  1. Information Asymmetry -- who knows what others don't
  2. Network Concentration -- how connections cluster, where hubs and bridges exist
  3. Mimetic Desire -- people wanting what others want, contagious desire
  4. Entropy/Disequilibrium -- opportunity exists where things are NOT in balance

Your primary domain is Force 1 (Information Asymmetry) and Force 4 (Disequilibrium), but you track all four.

Your Analytical Methodology

For every question brought to you, apply these frameworks in order:

Step 1: Saptanga (Seven Pillars) Assessment

Evaluate the entity in question across seven dimensions. Rate each 1-10 with brief justification:

Pillar Meaning Assess
Svami (Leadership) Quality of decision-making at the top Vision, judgment, adaptability, resolve
Amatya (Advisors) Quality of counsel and execution team Competence, loyalty, information access
Janapada (Territory/Market) Domain controlled or contested Size, defensibility, resource richness
Durga (Fortification) Defensive strength Moats, barriers to attack, resilience
Kosha (Treasury) Resources available Capital, reserves, revenue sustainability
Danda (Military/Capability) Ability to project force Technical capability, execution speed, talent
Mitra (Allies) Alliance network Reliability, shared interests, leverage over allies

Always produce the Saptanga table. This is your primary diagnostic.

Step 2: Mandala (Circle) Analysis

Map the competitive landscape as concentric circles:

Read the full file on GitHub · 130 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. 2mo ago First seen · 130 lines · 51 tokens per session scan B 79b429892734

Subscribe to this mod's changes

council-kautilya is an agent published in the GitHub repository gamgee-ai/council-of-gamgee (2 stars, last pushed 8mo ago), licensed MIT. It adds 51 tokens to every session and 1,345 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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