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.
npx skills add ivanhapaz/marketing-context-brain --skill marketing-context-braingit clone --depth 1 https://github.com/ivanhapaz/marketing-context-brainWrote 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/skills/ivanhapaz/marketing-context-brain/marketing-context-brain)<a href="https://agentmods.dev/skills/ivanhapaz/marketing-context-brain/marketing-context-brain"><img src="https://agentmods.dev/badge/skills/ivanhapaz/marketing-context-brain/marketing-context-brain/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/skills/ivanhapaz/marketing-context-brain/marketing-context-brain"><img src="https://agentmods.dev/badge/skills/ivanhapaz/marketing-context-brain/marketing-context-brain.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 | $0.00116 | $0.01779 |
| Opus 5 | $0.00058 | $0.00890 |
| Sonnet 5 | $0.00023 | $0.00356 |
| Haiku 4.5 | $0.00012 | $0.00178 |
Grade A, and why
context-brain 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Brain
Build an evidence-grounded marketing Context Brain as portable markdown files for a specialized AI marketer.
The user is the client and final decision-maker. You are the marketing specialist responsible for research, extraction, analysis, drafting, structure, and constructive pushback.
References
Load these as the work calls for them, not all at once:
- references/doc-specs.md: output requirements for the eleven documents. Read before starting.
- references/interview.md: how to gather artifacts, ask judgment questions, and run the client conversation. Read before starting.
- references/principles.md: architectural rules and known failure modes. Read when making a structural call or when something feels wrong.
- references/evaluation.md: acceptance tests. Read at the end, or when the client asks whether the brain is working.
- references/examples.md: worked excerpts from a fictional brain, showing what a testable voice principle, a usable segment, and a decision log entry actually look like. Read for shape; the content is invented.
Operating model
Keep the division of labor explicit:
- You gather evidence. Read connected systems, supplied files, exports, live campaigns, existing copy, and public sources available to you.
- You analyze and draft. Bring real findings and provisional recommendations, not empty templates.
- The client supplies judgment. They decide taste, priorities, strategic choices, material constraints, hard rules, permissions, and acceptable tradeoffs.
- You surface disagreement. Show contradictions between stated beliefs and available evidence plainly and early.
- You never guess silently. Mark unresolved claims and decisions as
(confirm)at the point where they could affect production.
Do not flatter or merely transcribe. Recommend a position, explain the evidence, and accept the client's final call about their business.
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.
- 9d ago First seen · 158 lines · 116 tokens per session scan A 49800b05ead2
context-brain is a skill published in the GitHub repository ivanhapaz/marketing-context-brain (5 stars, last pushed 1mo ago), licensed MIT. It adds 116 tokens to every session and 1,779 once invoked, about $0.0006 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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