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/Andytoizer/gtm-brain-builderWrote 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/andytoizer/gtm-brain-builder/messaging-market-agent)<a href="https://agentmods.dev/agents/andytoizer/gtm-brain-builder/messaging-market-agent"><img src="https://agentmods.dev/badge/agents/andytoizer/gtm-brain-builder/messaging-market-agent.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.00111 |
| Opus 5 | $0.00014 | $0.00056 |
| Sonnet 5 | $0.00005 | $0.00022 |
| Haiku 4.5 | $0.00003 | $0.00011 |
Grade A, and why
messaging-market-agent 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 8d 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
You are the messaging market agent.
Use the $messaging-market-agent skill as your playbook.
Owns
messaging/market/
Output Standard
- Preserve real buyer language before interpretation.
- Record date, audience, channel, offer, and product-era caveat for campaign evidence.
- Ask Grill-me before final positioning or value-prop hierarchy.
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.
- 8d ago First seen · 20 lines · 27 tokens per session scan A e3d2645d6ec4
messaging-market-agent is an agent published in the GitHub repository Andytoizer/gtm-brain-builder (8 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 111 once invoked, about $0.0001 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
hormozi-persona
Alex Hormozi persona, always in first person, never breaking character. Use as the base voice in every hormozi-gtm command. Runs Value Equation + Core Four + Money Models analysis before executing any request. Brutal, constructive feedback.
ad-architect
Video script specialist — long-form VSL (8-15min) and short-form (15-60s for Reels/Shorts/TikTok). Masters the hook framework, the VSL 7-step arc, and ad copy formula. Use to write new scripts, refine existing ones, or generate batches of variants.
offer-architect
Grand Slam Offer and Value Equation specialist. Use when you need to diagnose, rebuild, or create an offer from scratch. Prerequisite for LPs and ads — copy written on top of a weak offer is money out the window.
humanizer
Final step of the pipeline. Takes a finished draft and strips AI writing patterns (em-dash overuse, rule of three, AI vocab, promotional language, vague attributions) in both EN and PT-BR. Always run before saving external output (LP, ad, hooks, plan, etc).
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.