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 productizegit 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/productize)<a href="https://agentmods.dev/skills/alexsmedile/hormozi-skills/productize"><img src="https://agentmods.dev/badge/skills/alexsmedile/hormozi-skills/productize/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/productize"><img src="https://agentmods.dev/badge/skills/alexsmedile/hormozi-skills/productize.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 | $0.00078 | $0.01732 |
| Opus 5 | $0.00039 | $0.00866 |
| Sonnet 5 | $0.00016 | $0.00346 |
| Haiku 4.5 | $0.00008 | $0.00173 |
Grade A, and why
productize 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 13d 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 — 443 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Productization & Scaling System (Hormozi-Style)
Purpose
Turn skills and services into scalable offers, then organize them into a system that maximizes revenue per customer.
This skill:
- transforms time-based work into leveraged products
- builds an offer ecosystem (ladder)
- increases lifetime value through upsells and downsells
Goal: make more money from the same customer with less effort over time.
When to Use
Activate this skill when:
- you sell services and want to scale
- income depends on your time
- you want recurring or leveraged revenue
- you want multiple price points
- you want to increase revenue per customer
Inputs
This skill works with:
- an
OFFER.md - a service or consulting business
- a program or course
- an existing offer stack
- target audience
PART 1: Service → Product Skill
Purpose
Turn services into scalable, repeatable offers.
Core Idea
Move from:
- time-based → system-based
- custom → standardized
- manual → repeatable
Assistant Behavior
1. Analyze current service
Identify:
- what is being done
- how it is delivered
- how much customization exists
- where time is spent
2. Extract repeatable components
Find:
- steps that repeat
- frameworks used
- templates already created
- common problems solved
3. Standardize the process
Turn:
- custom work → defined steps
- loose delivery → structured system
Example:
- “I help clients grow” → “3-step growth system”
4. Choose product format
Options:
Program (DWY)
- structured guidance
- calls + support
- repeatable delivery
Course (DIY)
- self-paced
- content-based
- scalable
Toolkit / Product
- templates
- systems
- assets
5. Decide level of involvement
Choose:
- DIY → lowest involvement
- DWY → medium involvement
- DFY → highest involvement
6. Build productized version
Define:
- clear outcome
- step-by-step system
- delivery format
- support level
7. Simplify and remove complexity
Ensure:
- fewer steps
- clear path
- easy onboarding
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.
- 13d ago First seen · 443 lines · 78 tokens per session scan A 510fd26ee14d
productize is a skill published in the GitHub repository alexsmedile/hormozi-skills (156 stars, last pushed 13d ago), licensed MIT. It adds 78 tokens to every session and 1,732 once invoked, about $0.0004 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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