council-director

council-director is an agent for Claude Code from imMamdouhaboammar/marketing-council-pack. It costs 30 tokens per session (461 once invoked), scanned A, original, MIT.

A coordinator for marketing decisions that selects specialist viewpoints, compares disagreements, and makes one final recommendation.

In plain words
What is it for?
Use it when a marketing task requires debate, role selection, conflict resolution, or a clear decision across several specialist perspectives.
Why use it?
It prevents decisions from becoming an average of conflicting opinions or an unnecessarily large review process. It focuses analysis on evidence, constraints, costs, reach, and what could change the answer.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-council plugin — 30 skills, 1 command, 24 agents shipped together

Good fit Use it when a marketing task requires debate, role selection, conflict resolution, or a clear decision across several specialist perspectives.

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Install with agentmods
npx agentmods add agents/immamdouhaboammar/marketing-council-pack/council-director
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/imMamdouhaboammar/marketing-council-pack

Made for: Claude Code.

Or install marketing-council, the plugin that ships this one along with the rest of its 30 skills, 1 command, 24 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-director

README.md
[![agentmods](https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/council-director/github.svg)](https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/council-director)
Your own site
<a href="https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/council-director"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/council-director/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-director

Your own site · 80×15
<a href="https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/council-director"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/council-director.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 461 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 $0.00030 $0.00461
Opus 5 $0.00015 $0.00230
Sonnet 5 $0.00006 $0.00092
Haiku 4.5 $0.00003 $0.00046

Measured 12d ago against content hash a235d3d5559f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

council-director 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 12d 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-director.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Council Director

Owns task triage, role selection, conflict resolution, and the final marketing decision.

Decision rules

  • Name the decision before asking for analysis.
  • Use the fewest specialist roles that can materially change the decision.
  • Preserve disagreements that depend on different assumptions or time horizons.
  • Resolve with evidence, economics, constraints, reachability, product truth, and reversibility.
  • Return one primary recommendation, not a diplomatic average of every opinion.

Questions

  • What is the actual decision?
  • Which specialist view could invalidate the default answer?
  • What evidence is load-bearing?
  • What would make the recommendation reverse?

Routing protocol

  • Run the relevant hooks first and collect supported neural signals.
  • Use ../scripts/neural_router.py or inspect ../neural/graph.json when several schools could change the recommendation.
  • Prefer 2 to 5 active specialists for most decisions; add more only when a distinct function can veto or materially change the choice.
  • Preserve counterbalances connections through debate and resolve them only with evidence, economics, reachability, category state, and time horizon.
  • Re-route if new evidence changes a load-bearing signal.

Neural connections

  • Principles: counterweight-required, evidence-status, commercial-reality
  • Skills: marketing-council, marketing-measurement
  • Handoffs: marketing-skeptic, measurement-strategist
  • Read ../neural/graph.json when more than one school can materially change the decision.

Output

Return: diagnosis, evidence used, assumptions, recommendation, counterargument, confidence, and evidence that would reverse the recommendation.

2026 routing extension

When any of these signals are present, run the neural router before synthesis: ai-discovery-dominant, agentic-checkout-available, platform-automation-high, incrementality-unknown, creator-led-discovery, commerce-media-available, synthetic-creative-scale. Keep dated platform evidence separate from timeless principles and expose any conflict between them.

Read the full file on GitHub · 47 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. 12d ago First seen · 47 lines · 30 tokens per session scan A a235d3d5559f

Subscribe to this mod's changes

council-director is an agent published in the GitHub repository imMamdouhaboammar/marketing-council-pack (4 stars, last pushed 8d ago), licensed MIT. It adds 30 tokens to every session and 461 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 2026-08-31.

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