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 Wrenbjor/Hormozi-Marketing-Agent-Skills --skill hormozi-offer-creationgit clone --depth 1 https://github.com/Wrenbjor/Hormozi-Marketing-Agent-SkillsWrote 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/wrenbjor/hormozi-marketing-agent-skills/hormozi-offer-creation)<a href="https://agentmods.dev/skills/wrenbjor/hormozi-marketing-agent-skills/hormozi-offer-creation"><img src="https://agentmods.dev/badge/skills/wrenbjor/hormozi-marketing-agent-skills/hormozi-offer-creation/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/wrenbjor/hormozi-marketing-agent-skills/hormozi-offer-creation"><img src="https://agentmods.dev/badge/skills/wrenbjor/hormozi-marketing-agent-skills/hormozi-offer-creation.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 | $0.00077 | $0.01417 |
| Opus 5.5 | $0.00031 | $0.00567 |
| Sonnet 5.5 | $0.00015 | $0.00283 |
| Haiku 4.5 | $0.00008 | $0.00142 |
Grade A, and why
hormozi-offer-creation 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 2mo 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hormozi Offer Creation & Pricing
Core Philosophy
The offer is the single most important variable in business. A Grand Slam Offer is so good that people feel stupid saying no. The goal is never to compete on price — it's to make your offer incomparable.
The Value Equation
Every offer's perceived value follows this equation:
Value = (Dream Outcome × Perceived Likelihood of Achievement) / (Time Delay × Effort & Sacrifice)
To maximize value, increase the numerator (dream outcome, likelihood) and decrease the denominator (time, effort). Every element of your offer should move at least one of these four variables.
Grand Slam Offer Creation Workflow
Step 1: Identify the Dream Outcome
Ask: "What is the single most desirable end result my customer wants?"
Be specific. Not "lose weight" but "lose 20lbs in 6 weeks without giving up the foods you love so you look amazing at your reunion." The dream outcome should be concrete, emotional, and tied to a specific identity or event.
Step 2: List All Problems
List every obstacle, concern, and problem the prospect faces on their way to the dream outcome. Think in categories:
- Problems before they buy (trust, risk, uncertainty)
- Problems during the experience (confusion, difficulty, time)
- Problems after (maintaining results, next steps)
- Problems with external perception (what will others think?)
For each problem, list sub-problems. The more granular, the better. A weight loss prospect doesn't just have "diet problems" — they have meal prep problems, grocery shopping problems, eating out problems, craving problems, plateau problems, etc.
Step 3: Turn Problems into Solutions
For each problem, create a specific solution. Each solution becomes a deliverable in your offer. Name each solution as a distinct component with its own identity.
Bad: "We help you with meal planning" Good: "The 5-Minute Meal Mastery System — 84 done-for-you meals that taste amazing and take less time than ordering takeout"
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.
- 2mo ago First seen · 140 lines · 77 tokens per session scan A d0280a9b772f
hormozi-offer-creation is a skill published in the GitHub repository Wrenbjor/Hormozi-Marketing-Agent-Skills (5 stars, last pushed 7mo ago), licensed MIT. It adds 77 tokens to every session and 1,417 once invoked, about $0.0003 per session on Opus 5.5. 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.
hormozi-offer-creation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hormozi-offer-creationWrenbjor/Hormozi-Marketing-Agent-Skills | Skill | 5 | 7mo ago | MIT | A | 77 | Claude Code |
| soulaeonfun/soul.md | Skill | 702 | yesterday | MIT | A | 33 | Claude Code, Codex |
| vastai-sdkvast-ai/vast-cli | Skill | 230 | 2d ago | MIT | A | 26 | Claude Code |
| test-driven-developmentthoughtbot/rails-consultant | Skill | 28 | 7d ago | MIT | A | 68 | Claude Code |
| anatomia-ccHainrixz/claude-anatomy | Skill | 15 | 13d ago | MIT | A | 267 | Claude Code |
| prior-artthoughtbot/rails-consultant | Skill | 28 | 7d ago | MIT | A | 36 | Claude Code |
| challengethoughtbot/rails-consultant | Skill | 28 | 7d ago | MIT | A | 28 | Claude Code |