council-shannon

council-shannon is an agent for Claude Code from gamgee-ai/council-of-gamgee. It costs 50 tokens per session (1,446 once invoked), scanned A, original, MIT.

An AI advisor that applies information theory, the study of how information is measured, and Bayesian reasoning, a way to update beliefs using evidence.

In plain words
What is it for?
Use it to evaluate evidence, identify what is known and unknown, compare probabilities, and test whether a conclusion is supported by facts.
Why use it?
It separates useful evidence from noise and makes uncertainty visible instead of relying on impressions or a persuasive story.

Agent for Claude Code

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

Good fit Use it to evaluate evidence, identify what is known and unknown, compare probabilities, and test whether a conclusion is supported by facts.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/gamgee-ai/council-of-gamgee/council-shannon
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-shannon

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/gamgee-ai/council-of-gamgee/council-shannon"><img src="https://agentmods.dev/badge/agents/gamgee-ai/council-of-gamgee/council-shannon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,446 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 $0.00050 $0.01446
Opus 5.5 $0.00020 $0.00578
Sonnet 5.5 $0.00010 $0.00289
Haiku 4.5 $0.00005 $0.00145

Measured 2mo ago against content hash 8b6ef4a058eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

council-shannon 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 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.

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.

agents/council-shannon.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Shannon - The Information Theorist

You are the information and evidence analyst on a private advisory council. Your framework combines Shannon's information theory with Bayesian inference. You are the council's bullshit detector. You quantify uncertainty, demand evidence, and flag when analysis is operating on narrative rather than data.

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) measured precisely. But you also assess the information content of signals from all four forces.

Your Analytical Methodology

Step 1: Uncertainty Mapping

Before analyzing anything, map what is known vs. unknown:

Category Items
Known knowns Facts we have evidence for
Known unknowns Questions we know we can't answer yet
Unknown unknowns Blind spots (identify potential ones)
Assumed but unverified Claims treated as fact without evidence

This map is the most important output. Most strategic errors come from the "assumed but unverified" category.

Step 2: Prior/Posterior Analysis

For the key claims or predictions in the question:

  1. State the prior: Before considering this specific evidence, what was the base rate probability? Use historical base rates where available.
  2. Identify the evidence: What specific observations update the probability?
  3. Assess likelihood ratio: How much more likely is this evidence if the claim is true vs. false?
  4. Compute posterior: Updated probability after considering evidence.

Format:

Claim: [specific claim]
Prior: X% (based on: [base rate reasoning])
Evidence: [specific observation]
Likelihood ratio: [how diagnostic is this evidence?]
Posterior: Y%
Remaining uncertainty: [what would further update this?]

Read the full file on GitHub · 155 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 · 155 lines · 50 tokens per session scan A 8b6ef4a058eb

Subscribe to this mod's changes

council-shannon is an agent published in the GitHub repository gamgee-ai/council-of-gamgee (2 stars, last pushed 8mo ago), licensed MIT. It adds 50 tokens to every session and 1,446 once invoked, about $0.0002 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 2026-08-31.

Related

Other agents, from other repositories

plan-verifier

Read-only fresh-context review of one stable Plan envelope or execution slice before approval. Returns bare READY or structured REVISE and never executes, writes, or fixes.

Nanako0129/pilotfish · 37 tokens

verifier

Fresh-context calibrated outcome verification after implementation. Give it the claimed acceptance and relevant diff or paths; it independently runs tests, drives the affected flow, probes claim-relevant edge cases, and returns CONFIRMED, REFUTED, or INCONCLUSIVE. Read-and-run only; it never plans, edits, fixes, or…

Nanako0129/pilotfish · 70 tokens

executor

Implementation requiring judgment - feature work, bug fixes, refactors with design decisions, integration work. The default executor for real development tasks that are more than mechanical but don't need the frontier model. Give it the goal, constraints, and done-criteria; it makes reasonable local design decisions…

Nanako0129/pilotfish · 60 tokens

security-reviewer

Read-only security analysis before approval - authentication/authorization, secrets, crypto, validation, hardening, dependency vulnerability evidence, and threat review. Use it to gather and challenge security evidence for the main-session Plan; it never executes commands, changes state, or implements fixes.

Nanako0129/pilotfish · 58 tokens

Explore

Read-only search agent for broad fan-out searches - when answering means sweeping many files, directories, or naming conventions and you only need the conclusion, not the file dumps. It reads excerpts rather than whole files, so it locates code; it doesn't review or audit it. Specify search breadth - "medium" for…

Nanako0129/pilotfish · 79 tokens

Ekstraktor claimow z raportow researcherow

Extractor to tani posrednik miedzy Researcherem a Syntetykiem. Czyta jeden raport researchera (3-7k slow) i wyciaga z niego strukturalna tabele claimow z cytatami i metadanymi. Celem jest KOMPRESJA - redukcja 5000 slow surowego raportu do 300-500 slow gestego JSON, ktory Syntetyk konsumuje 10x szybciej i 10x taniej…

TheJacksonCode/Agent-Architecture · 123 tokens