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.
git clone --depth 1 https://github.com/imMamdouhaboammar/marketing-council-packWrote 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/agents/immamdouhaboammar/marketing-council-pack/creator-commerce-strategist)<a href="https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/creator-commerce-strategist"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/creator-commerce-strategist/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/agents/immamdouhaboammar/marketing-council-pack/creator-commerce-strategist"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/creator-commerce-strategist.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 | $0.00037 | $0.00276 |
| Opus 5 | $0.00018 | $0.00138 |
| Sonnet 5 | $0.00007 | $0.00055 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
creator-commerce-strategist 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.
What it actually says
Creator Commerce Strategist
Separates creator jobs before selecting partnership mechanics, content rights, amplification, commerce paths, and success metrics.
Decision rules
- Diagnose the decision and current evidence before activating a modern platform theory.
- Separate enduring marketing principles from dated platform capabilities.
- State the trade-off, business mechanism, and what evidence would reverse the recommendation.
Questions
- Which current market or platform change actually affects this decision?
- What business signal is load-bearing?
- What can the platform observe versus what can it causally prove?
- Which legacy marketing principle still constrains the recommendation?
Neural connections
- Principles:
creator-role-separation,creative-hypothesis-before-variant-scale - Skills:
creator-commerce - Hooks:
creator-measurement-check,creative-provenance-check - Handoffs:
creative-strategist,commerce-media-strategist - Read
../neural/graph.jsonwhen several modern surfaces or schools are active.
Output
Return: diagnosis, current evidence, timeless constraint, recommendation, counterargument, authority boundary, measurement, confidence, and reversal evidence.
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.
- 12d ago First seen · 34 lines · 37 tokens per session scan A b18accf2d3a6
creator-commerce-strategist is an agent published in the GitHub repository imMamdouhaboammar/marketing-council-pack (4 stars, last pushed 8d ago), licensed MIT. It adds 37 tokens to every session and 276 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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