home / skills / shipshitdev / library / offer-validator

offer-validator skill

safe

This skill evaluates your offer using Hormozi's value equation, scores strengths and gaps, and prescribes actionable fixes to boost conversions.

npx playbooks add skill shipshitdev/library --skill offer-validator

Review the files below or copy the command above to add this skill to your agents.

Files (3)

SKILL.md

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---
name: offer-validator
description: Validate existing offers using Hormozi's Value Equation. Scores offers, exposes weaknesses, and provides actionable fixes. Activates for "validate my offer," "rate my offer," or "is my offer good."
version: 1.0.0
tags:
  - business
  - hormozi
  - validation
  - offers
  - value-equation
  - pricing
auto_activate: true
---

# Offer Validator - Hormozi Value Equation Scorecard

Ruthlessly assess existing offers against Hormozi's Value Equation. Score them, expose weaknesses, and provide actionable fixes.

**Hormozi's Principle:** "Your offer should be so good people feel stupid saying no."

**Your Role:** Score the offer. Find the gaps. Prescribe the fixes.

## When This Activates

- User says "validate my offer"
- User says "rate my offer"
- User asks "is my offer good"
- User wants to check offer quality before launch
- User mentions low conversions on an existing offer

## Key Difference from offer-architect

- **offer-architect** = Create offers from scratch
- **offer-validator** = Assess and score existing offers

## The Value Equation

```
Value = (Dream Outcome × Perceived Likelihood) / (Time Delay × Effort Required)
```

## Scoring Dimensions

| Dimension | Weight | What It Measures |
|-----------|--------|------------------|
| Dream Outcome | 2x | How desirable is the promised result? |
| Perceived Likelihood | 2x | How believable is it they'll achieve it? |
| Time to Results | 1.5x | How fast will they see results? |
| Effort Required | 1.5x | How much work do they have to do? |
| Bonus Stack | 1x | Does value stack overwhelm with extras? |
| Guarantee Strength | 1x | Is the risk completely removed? |

**Max Score:** 100 points

## Rating Scale

| Score | Rating | Verdict |
|-------|--------|---------|
| 85-100 | Grand Slam | Ready to scale. Minor optimizations only. |
| 70-84 | Strong | Good foundation. Fix weak points, then launch. |
| 55-69 | Decent | Significant gaps. Improve before scaling. |
| 40-54 | Weak | Major issues. Rebuild key components. |
| 0-39 | Broken | Start over. Fundamental problems. |

## Quick Gather Questions

Ask:

1. What exactly are you selling?
2. What do you promise they'll get?
3. What's included? (Deliverables, features, bonuses)
4. What's the price?
5. What's the guarantee?
6. Who is this for?

## Integration

| Skill | When to Use |
|-------|-------------|
| `offer-architect` | Rebuild weak components |
| `copy-validator` | Validate sales copy |
| `funnel-validator` | Validate entire funnel |
| `pricing-strategist` | Fix pricing issues |

---

**For detailed scoring criteria, examples, and output templates:** `references/full-guide.md`

Overview

This skill validates existing offers using Hormozi's Value Equation and returns a numeric score plus a clear verdict. It highlights weaknesses across Dream Outcome, Perceived Likelihood, Time to Results, Effort Required, Bonus Stack, and Guarantee Strength, then prescribes prioritized fixes. Use it to diagnose low conversions or vet an offer before launch.

How this skill works

Provide the offer description, price, deliverables, target audience, and guarantee. The skill scores each dimension with weighted criteria, computes a 0–100 score, maps that to a rating tier, and lists the weakest components. It finishes with concrete, prioritized recommendations and next-step actions or links to complementary skills for rebuilding.

When to use it

You want a rapid, objective quality score for an existing offer
Conversions are lower than expected and you need root-cause analysis
You’re preparing to scale and need a pre-launch health check
You need a prioritized list of fixes to improve close rates
You want an evidence-based decision to rebuild vs optimize

Best practices

Provide a concise offer brief answering the quick gather questions (what, promise, inclusions, price, guarantee, who)
Be specific about outcomes and timelines so perceived likelihood can be assessed accurately
Include current sales copy, pricing page, or funnel links when possible
Treat recommended fixes as hypotheses to test—A/B or iterate rather than redesign wholesale
Use linked skills (offer-architect, copy-validator, funnel-validator) to implement deep fixes

Example use cases

Rate a coaching package that underperforms despite traffic
Validate a SaaS trial-to-paid conversion offer before a pricing change
Audit a course launch offer to identify why buyers drop at checkout
Check a high-ticket consulting offer to ensure guarantee and perceived likelihood are persuasive
Decide whether to patch or rebuild an offer after a poor launch

FAQ

What input do I need to get an accurate score?

A short brief covering what you sell, the promised result, inclusions/bonuses, price, guarantee, and the intended buyer yields the most accurate assessment.

How actionable are the recommendations?

Recommendations are prioritized and specific (e.g., strengthen guarantee, add proof, shorten time-to-results, add high-value bonus) and include next steps or suggested skills to execute them.