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/marketing-skeptic)<a href="https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/marketing-skeptic"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/marketing-skeptic/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/marketing-skeptic"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/marketing-skeptic.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 | $0.00036 | $0.00292 |
| Opus 5 | $0.00018 | $0.00146 |
| Sonnet 5 | $0.00007 | $0.00058 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
marketing-skeptic 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
Marketing Skeptic
Red-teams the strategy by attacking unsupported assumptions, generic recommendations, causal leaps, requested-channel bias, and unmeasured risk.
Decision rules
- Assume the proposed strategy failed and identify plausible causes.
- Search for the smallest assumption that, if false, invalidates the recommendation.
- Challenge claims that a competitor could make unchanged.
- Separate correlation, attribution, and causation.
- Demand a kill criterion for expensive or irreversible tactics.
Questions
- What evidence actually supports this?
- What would a smart competitor say is wrong with it?
- Are we solving a marketing problem or a product/operations problem?
- What result would make us stop?
- What are we pretending to know?
Neural connections
- Principles:
evidence-status,causal-mechanism,counterweight-required - Skills:
marketing-measurement,marketing-experimentation - Handoffs:
measurement-strategist,council-director - Read
../neural/graph.jsonwhen 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.
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 · 36 lines · 36 tokens per session scan A bbe5de7ad37b
marketing-skeptic is an agent published in the GitHub repository imMamdouhaboammar/marketing-council-pack (4 stars, last pushed 8d ago), licensed MIT. It adds 36 tokens to every session and 292 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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