Agent skill · Audited from source

100m-offers

skill · getagentseal/founder-playbookMIT licenceAudited 21 Oct 2026 · source 5015fcf4cde3

★ 767pushed 14 days ago
✓SAFEGrade B · 89/100 · 21 Oct 2026 · 5015fcf
767repo stars · whole getagentseal/founder-playbook

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 5015fcf4cde3 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Designs irresistible Grand Slam Offers using Alex Hormozi's value equation, obstacle-solution mapping, value-cost trim/stack, and offer-naming patterns. Use when fixing low conversion rates, packaging products, pricing…

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ModelsAtlas. “100m-offers (getagentseal/founder-playbook)”. Retrieved 21 Oct 2026. https://modelsatlas.com/skills/getagentseal/100m-offers

Trust audit

Audit 0.4.1 · source read 21 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 5015fcf4cde3 · 21 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishergetagentseal GitHub organizationOwner of the repository this skill is read from
  • Source foldergetagentseal/founder-playbook/skills/100m-offersThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict5015fcf4cde3A new audit runs when the source changes
  • Repository statusNot archivedLast push 14 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Designs irresistible Grand Slam Offers using Alex Hormozi's value equation, obstacle-solution mapping, value-cost trim/stack, and offer-naming patterns. Use when fixing low conversion rates, packaging products, pricing…

---
name: "100m-offers"
description: Designs irresistible Grand Slam Offers using Alex Hormozi's value equation, obstacle-solution mapping, value-cost trim/stack, and offer-naming patterns. Use when fixing low conversion rates, packaging products, pricing services, designing high-converting offers, or when prospects browse but don't buy. Covers value stacking, guarantees, scarcity, urgency, and pricing psychology for validated markets.
---

> **Note:** This skill is independent analysis and commentary, not a reproduction of the original text. It synthesizes the book's core ideas with modern startup practice, surfaces where frameworks are outdated or incomplete, and integrates perspectives from adjacent disciplines. For the full argument and context, read the original book.


# $100M Offers

> "Make offers so good people feel stupid saying NO" - Alex Hormozi

## The Core Insight

**"You don't have a sales problem or a marketing problem. You have an offer problem."**

If qualified leads aren't buying, it's not your traffic - it's what you're offering them.

## Decision Tree

```
Are you getting qualified leads?
├─ NO → Use 100m-leads
└─ YES → Are leads converting?
         ├─ NO → You have an offer problem (this skill)
         └─ YES → Are you charging premium?
                  ├─ NO → Stack value, raise prices
                  └─ YES → Scale ad spend
```

```
Building an offer?
├─ Pre-validation → Use mom-test FIRST
├─ Validated market → Use this skill
├─ Pricing question only → See monetizing-innovation
└─ Positioning unclear → See obviously-awesome
```

## Step 0: Pick a Starving Crowd

Before any offer work: a great offer in a dead market fails. A mediocre offer in a ravenous market can still win.

**The core principle:** You want a market that is already hungry - people actively searching for a solution and willing to pay for it. Market selection is the multiplier on everything that follows.

**3 criteria to test any market:**

| Criterion | Question to ask | Red flag |
|-----------|-----------------|----------|
| **Pain** | Do they have an urgent, specific problem? | Vague dissatisfaction, not a burning need |
| **Purchasing power** | Can they actually pay for a solution? | Market with desire but no budget |
| **Targetability** | Can you reach them efficiently? | Audience that is scattered or hard to identify |

All three must be true. Two out of three is not enough.

**How to pick:**
1. List markets where you have access or credibility.
2. Run each through the 3-criteria test above.
3. Pick the one with the highest pain score and a clear place to find them.

A growing market also covers execution mistakes. A shrinking market punishes even excellent offers.

**Rule:** Niche selection is a prerequisite, not a step inside offer-building. Don't start the value equation until you know exactly who you are selling to and why they are desperate to buy.

## The Value Equation

```
              Dream Outcome × Perceived Likelihood
   Value  =  ─────────────────────────────────────
                  Time Delay × Effort & Sacrifice
```

Four levers. Pull any of them; both directions work.

| Lever | Direction | How |
|-------|-----------|-----|
| Dream Outcome | ↑ Bigger | Make the outcome more compelling, specific, emotional |
| Perceived Likelihood | ↑ Higher | Add proof, guarantees, testimonials, credentials |
| Time Delay | ↓ Faster | Show results sooner, deliver quicker |
| Effort & Sacrifice | ↓ Easier | Remove steps, do it for them, automate |

**Rule:** If you can't increase the top, decrease the bottom.

## What Makes a Grand Slam Offer

A Grand Slam Offer is **incomparable to competitors** because it combines:

1. **Attractive promotion** - The hook
2. **Unmatchable value proposition** - The stack
3. **Premium price** - Price implies value
4. **Unbeatable guarantee** - Removes risk

If anyone can compare your offer to a competitor's, you don't have a Grand Slam Offer yet.

## The 6-Step Process

| Step | Action | Output |
|------|--------|--------|
| 1 | Define dream outcome | Specific result + timeframe + emotional benefit |
| 2 | List ALL obstacles | 15+ minimum, across 4 categories |
| 3 | Reverse obstacles to "How to..." solutions | Solution statement per obstacle |
| 4 | Design delivery vehicles | Format, frequency, intensity per solution |
| 5 | Trim and stack (value-cost matrix) | 6-10 strong components |
| 6 | Add enhancements | Guarantees, scarcity, urgency, bonuses |

Detail in **[frameworks.md](frameworks.md)**.

### Step 1: Dream Outcome Format

`[Specific result] in [timeframe] so that [emotional benefit/status change]`

| Bad | Good |
|-----|------|
| Lose weight | Lose 20 lbs in 8 weeks so you can wear that dress at your reunion |
| Make more money | Add $30K/mo in 90 days so you can quit your day job |
| Get more leads | Book 10 sales calls per week without cold calling |

### Step 2: 4 Obstacle Categories

| Category | What It Blocks | Example |
|----------|----------------|---------|
| **Knowledge Gaps** | What they don't KNOW | "I don't know what to eat" |
| **Skill Deficiencies** | What they can't DO | "I can't cook healthy meals" |
| **Environmental Barriers** | External factors | "My family won't eat this food" |
| **Psychological Blocks** | Mindset issues | "I always quit after 2 weeks" |

Hormozi's wording for environmental is "External" - same concept.

### Step 5: Value-Cost Decision Matrix

Score each component on Value to customer (1-10) and Cost to deliver (1-10). High-value, low-cost components stay in the core offer; mid-value components move to bonuses; low-value or high-cost components get cut. Target 6-10 strong components total.

Full value-cost matrix and scoring: see [frameworks.md](frameworks.md#step-5-trim--stack-value-cost-matrix).

## The Stacking Principle

> "A single offer is less valuable than the same offer broken into its component parts and stacked as bonuses."

### Bad Presentation
"$2,000 weight loss program"

### Good Presentation

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 5015fcf

Download folder ↗
git clone https://github.com/getagentseal/founder-playbook
git -C founder-playbook checkout 5015fcf4cde3

The author documents no install command, so this uses the repository directly. Our verdict covers commit 5015fcf4cde3 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 5015fcf4cde3

Similar skills

Questions about 100m-offers

What does the 100m-offers skill do?
15 proven business books distilled into AI-native skills. Works with Claude Code, ChatGPT, Gemini, Cursor.
Is 100m-offers safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can 100m-offers access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (5015fcf4cde3), read on 2026-10-21. The repository is watched, and a new audit runs when it changes — this is the first audit.

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