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 pricing-strategygit 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/pricing-strategy)<a href="https://agentmods.dev/skills/alexsmedile/hormozi-skills/pricing-strategy"><img src="https://agentmods.dev/badge/skills/alexsmedile/hormozi-skills/pricing-strategy/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/pricing-strategy"><img src="https://agentmods.dev/badge/skills/alexsmedile/hormozi-skills/pricing-strategy.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 | $0.00073 | $0.01397 |
| Opus 5 | $0.00036 | $0.00698 |
| Sonnet 5 | $0.00015 | $0.00279 |
| Haiku 4.5 | $0.00007 | $0.00140 |
Grade A, and why
pricing-strategy 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 — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Pricing Strategy (Value Anchoring Engine)
Purpose
Set the right price based on value, not guesswork.
This skill ensures the price:
- reflects the outcome
- feels justified to the buyer
- matches the delivery model
- maximizes conversions and revenue
It improves:
- perceived value
- positioning
- profitability
When to Use
Activate this skill when:
- pricing feels random or uncertain
- conversions are low due to price resistance
- the offer feels “too cheap” or “too expensive”
- you want to introduce tiers
- you’re launching a new offer
- you need a clear pricing story
Inputs
This skill works with:
- an
OFFER.md - a product or service description
- value stack
- delivery model (DFY, DWY, DIY)
- target audience
Core Outcome
The assistant produces:
- a price anchored to value
- pricing tier structure (if needed)
- price positioning strategy
- psychological pricing suggestions
- a clear price justification story
Assistant Behavior
1. Understand the value
Extract:
- the core outcome
- how much that outcome is worth
- urgency of the problem
- financial or emotional impact
Then summarize:
This offer helps X achieve Y, which is worth Z in terms of time, money, or status.
2. Analyze the delivery model
Identify:
- DIY → lower price, volume-based
- DWY → mid-tier pricing
- DFY → premium pricing
Then assess:
- level of support
- level of customization
- level of effort saved
3. Anchor price to outcome
Estimate value based on:
- money gained
- time saved
- pain avoided
- opportunity unlocked
Frame it like:
If this helps achieve X, then even a fraction of that value justifies the price.
4. Define pricing range
Create a realistic range based on:
- market expectations
- delivery model
- complexity
- competition (if known)
Output:
- low-end price
- mid-range price
- premium price
5. Choose pricing strategy
Select one:
Volume (Low-Ticket)
- low price
- high volume
- simple delivery
- fast decision
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 · 316 lines · 73 tokens per session scan A 53b0d05cd4f4
pricing-strategy is a skill published in the GitHub repository alexsmedile/hormozi-skills (156 stars, last pushed 13d ago), licensed MIT. It adds 73 tokens to every session and 1,397 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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