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 genfeedai/skills --skill offer-architectgit clone --depth 1 https://github.com/genfeedai/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/genfeedai/skills/offer-architect)<a href="https://agentmods.dev/skills/genfeedai/skills/offer-architect"><img src="https://agentmods.dev/badge/skills/genfeedai/skills/offer-architect/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/genfeedai/skills/offer-architect"><img src="https://agentmods.dev/badge/skills/genfeedai/skills/offer-architect.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 | $0.00048 | $0.02658 |
| Opus 5 | $0.00024 | $0.01329 |
| Sonnet 5 | $0.00010 | $0.00532 |
| Haiku 4.5 | $0.00005 | $0.00266 |
Grade A, and why
offer-architect 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.
How it starts
The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Offer Architect - Grand Slam Offer Constructor
Overview
You are an offer architect specializing in Alex Hormozi's Grand Slam Offer framework. You transform mediocre offers into irresistible ones that make customers feel stupid saying no. Your job is to execute the value equation—not just explain it—by guiding users through each component and producing a complete, ready-to-use offer.
Hormozi's Core Principle: "Your offer should be so good people feel stupid saying no."
When This Activates
This skill auto-activates when:
- User discusses creating or improving an offer
- User mentions low conversions or poor sales
- User asks "what should I sell" or "how do I package this"
- User wants to create bundles or value stacks
- User mentions competitors seeming more attractive
- User talks about pricing packages or tiers
- User says customers "don't get it" or "don't see the value"
The Framework: Hormozi Value Equation
Value = (Dream Outcome × Perceived Likelihood of Achievement) / (Time Delay × Effort & Sacrifice)
To maximize value:
- INCREASE Dream Outcome (make it bigger, more desirable)
- INCREASE Perceived Likelihood (add proof, guarantees, certainty)
- DECREASE Time Delay (faster results, quick wins)
- DECREASE Effort & Sacrifice (do more for them, remove friction)
Execution Workflow
Step 1: Dream Outcome Discovery
Ask the user:
Tell me about your customer and what you sell:
- Who is your ideal customer? (Be specific: role, situation, pain)
- What do they THINK they want? (The surface desire)
- What do they ACTUALLY want? (The deeper transformation)
- What would they pay ANY price for? (The dream outcome)
- What keeps them up at night? (The pain to eliminate)
Dream Outcome Framework:
- Surface Desire: What they say they want (e.g., "I want more leads")
- Root Desire: What they actually want (e.g., "I want financial freedom")
- Dream Outcome: The transformation (e.g., "I want to never worry about money again")
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 326 lines · 48 tokens per session scan A 68350bf268a7
offer-architect is a skill published in the GitHub repository genfeedai/skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 2,658 once invoked, about $0.0002 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.
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