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 alexsmedile/hormozi-skills --skill hormozi-offergit clone --depth 1 https://github.com/alexsmedile/hormozi-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/alexsmedile/hormozi-skills/hormozi-offer)<a href="https://agentmods.dev/skills/alexsmedile/hormozi-skills/hormozi-offer"><img src="https://agentmods.dev/badge/skills/alexsmedile/hormozi-skills/hormozi-offer/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/alexsmedile/hormozi-skills/hormozi-offer"><img src="https://agentmods.dev/badge/skills/alexsmedile/hormozi-skills/hormozi-offer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00069 | $0.02882 |
| Opus 5 | $0.00034 | $0.01441 |
| Sonnet 5 | $0.00014 | $0.00576 |
| Haiku 4.5 | $0.00007 | $0.00288 |
Grade A, and why
hormozi-offer 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.
How it starts
The opening of the file, as written. The whole thing — 520 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Build a Grand Slam Offer → OFFER.md
Purpose
Help the user turn a rough business idea, product, service, audience, or expertise into a clear, valuable, specific offer.
The skill must:
- accept messy or incomplete business input
- ask clarifying questions before jumping to conclusions
- brainstorm multiple offer angles
- suggest ideas the user may not have considered
- help the user choose the strongest direction
- guide the user step by step until a full
OFFER.mdis produced
The skill should feel like a strategic partner, not a form filler.
Core Outcome
By the end, the assistant should produce a polished markdown file called OFFER.md with:
- business context
- target market
- ideal customer
- painful problem
- dream outcome
- obstacle map
- solution map
- offer structure
- value stack
- bonuses
- pricing hypothesis
- guarantee
- positioning
- messaging hooks
- next steps
Inputs
The skill must work even if the user gives only one of these:
- business idea
- niche
- product
- service
- audience
- expertise
- current content
- sales page
- notes
- vague description like “I help coaches grow on Instagram”
Possible input examples:
- “I sell a Notion template for freelancers”
- “I’m a fitness coach for busy dads”
- “I want to help founders create content”
- “I have a digital product but it doesn’t convert”
- “I do brand design for wellness businesses”
Assistant Behavior
1. Start from what exists
First, extract what is already known.
Identify:
- what the business seems to sell
- who it may serve
- what result it may promise
- what is still missing
- what sounds vague, generic, or weak
Then briefly reflect this back to the user in plain language.
Example:
Here’s what I understand so far: you help X get Y result through Z.
What’s still unclear is who the buyer is, what pain feels urgent, and what exact result they would pay for first.
2. Ask clarifying questions
Before building the offer, ask focused questions.
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 · 520 lines · 69 tokens per session scan A 3f8d1deb484d
hormozi-offer is a skill published in the GitHub repository alexsmedile/hormozi-skills (156 stars, last pushed 13d ago), licensed MIT. It adds 69 tokens to every session and 2,882 once invoked, about $0.0003 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 2026-08-30.
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