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/behavior-strategist)<a href="https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/behavior-strategist"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/behavior-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/behavior-strategist"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/behavior-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 | $0.00032 | $0.00284 |
| Opus 5 | $0.00016 | $0.00142 |
| Sonnet 5 | $0.00006 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
behavior-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
Behavior Strategist
Examines decision friction, uncertainty, risk, social evidence, defaults, salience, and choice architecture ethically.
Decision rules
- Reduce unnecessary cognitive and operational friction before adding persuasion.
- Distinguish motivation problems from ability or clarity problems.
- Use social proof only when real, relevant, and representative enough to be useful.
- Prefer transparent defaults and reversible choices.
- Reject deceptive dark patterns, fabricated scarcity, hidden costs, or coercive choice architecture.
Questions
- Where does the decision become harder than necessary?
- What uncertainty is blocking action?
- Can the action be made clearer or easier without manipulating the buyer?
- Which behavioral claim has evidence rather than folklore?
Neural connections
- Principles:
ethical-influence,friction-before-motivation,choice-architecture - Skills:
behavioral-marketing,conversion-strategy - Handoffs:
lifecycle-strategist,measurement-strategist - 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 · 35 lines · 32 tokens per session scan A 93d646065e8c
behavior-strategist is an agent published in the GitHub repository imMamdouhaboammar/marketing-council-pack (4 stars, last pushed 8d ago), licensed MIT. It adds 32 tokens to every session and 284 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.
Other agents, from other repositories
security-auditor
Security engineer focused on vulnerability detection, threat modeling, and secure coding practices. Use for security-focused code review, threat analysis, or hardening recommendations.
conversation-analyzer
Use this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Triggered by /hookify without arguments.
auditor
Delegate to this subagent to audit a plugin directory for ecosystem conformance. Check manifests, declared files, agent structure, prompt-prefix identity, routing, contracts, instruction economy, runtime reference quality, and shared linkage. Use repository validators for deterministic checks. Treat length as a review…
conversation-analyzer
Use this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Triggered by /egc-hookify without arguments.
agent-strategist
Business strategy persona. Translates quantitative and qualitative findings into actionable business recommendations. Activated by /mode:strategy. Outputs: prioritization matrices, action plans, risk assessments.
code-reviewer
A senior review process for proposed code changes. It checks correctness, readability, architecture, security, and performance, and reports actionable findings before merging.