Offer Validator

Name: Offer Validator
Author: shipshitdev

shipshitdev/library

117 installs
31 repo stars
Updated August 2, 2026
shipshitdev/library

Stress-test a drafted offer against ICP fit, competitive positioning, price anchoring, and objection patterns before committing to a launch funnel.

About

Reviews draft SaaS and ecommerce offers for market fit, logical tier progression, competitive anchoring, and common buyer objections—surfacing gaps in guarantees, bonuses, or outcome claims before launch or paid acquisition spend.

ICP-offer fit verification
Competitive price anchoring review
Buyer objection stress testing
Tier progression coherence checks
Guarantee and bonus gap detection

Offer Validator by the numbers

117 all-time installs (skills.sh)
Ranked #424 of 853 Sales & Marketing skills by installs in the Skillselion catalog
Data as of Aug 3, 2026 (Skillselion catalog sync)

npx skills add https://github.com/shipshitdev/library --skill offer-validator

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Installs	117
repo stars	★ 31
Last updated	August 2, 2026
Repository	shipshitdev/library ↗

What it does

Stress-test a drafted offer against ICP fit, competitive positioning, price anchoring, and objection patterns before committing to a launch funnel.

Files

SKILL.mdMarkdownGitHub ↗

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

{
  "name": "offer-validator",
  "version": "1.0.0",
  "description": "Use this skill when users need to validate an existing offer, rate an offer's strength, or assess whether an offer is ready to launch. Activates for 'validate my offer,' 'rate my offer,' 'is my offer good,' or when checking offer quality before launch.",
  "author": {
    "name": "Ship Shit Dev",
    "email": "hello@shipshit.dev",
    "url": "https://github.com/shipshitdev"
  },
  "license": "MIT",
  "skills": "."
}

Offer Validator - Full Guide

Complete guide to validating offers against Hormozi's Value Equation.

Scoring Criteria

Dream Outcome (0-10, Weight: 2x)

Score	Description
9-10	Crystal clear, deeply desirable transformation that speaks to their core pain
7-8	Clear outcome, addresses real desire, but could be more emotionally compelling
5-6	Decent outcome, somewhat vague, or only addresses surface-level wants
3-4	Unclear outcome, feature-focused instead of outcome-focused
0-2	No clear outcome, just a list of deliverables

Red Flags:

"Get access to..." (feature, not outcome)
"Learn how to..." (process, not result)
Vague superlatives ("the best", "amazing results")
No specific numbers or timeframes

Perceived Likelihood (0-10, Weight: 2x)

Score	Description
9-10	Overwhelming proof: specific results, multiple testimonials, clear track record
7-8	Good proof: some testimonials, credentials established, believable claims
5-6	Moderate proof: generic testimonials, some credibility, but gaps
3-4	Weak proof: claims without evidence, vague testimonials
0-2	No proof: just promises with nothing to back them up

Red Flags:

"Results may vary" (without context)
Stock photo testimonials
No specific numbers in case studies
"Trust me" without evidence

Time to Results (0-10, Weight: 1.5x, Inverted)

Score	Description
9-10	Immediate quick wins (24-48 hours) with clear milestones to big outcome
7-8	Results within first week, clear timeline, some quick wins
5-6	Results in 2-4 weeks, some milestones, but waiting period
3-4	Results in 1-3 months, vague timeline, long wait before any wins
0-2	No timeline given, or results take 6+ months with no quick wins

Red Flags:

No timeline mentioned
"Results take time" without specifics
No quick wins or early milestones

Effort Required (0-10, Weight: 1.5x, Inverted)

Score	Description
9-10	Done-for-you, plug-and-play, zero learning curve
7-8	Done-with-you, templates provided, minimal learning, hand-held
5-6	Some effort required, decent templates, moderate learning curve
3-4	Significant effort, must learn and implement, limited support
0-2	High effort, steep learning curve, they do everything themselves

Red Flags:

"You'll learn how to..." (implies effort)
No templates or done-for-you elements
"Self-paced" without support

Bonus Stack (0-10, Weight: 1x)

Score	Description
9-10	Overwhelming stack: 4+ bonuses that each stand alone in value
7-8	Strong stack: 2-3 valuable bonuses that address different needs
5-6	Decent stack: 1-2 bonuses, somewhat useful
3-4	Weak stack: bonuses feel like filler or don't add real value
0-2	No bonuses, or bonuses that are obviously padding

Red Flags:

Bonuses that feel like padding
Inflated bonus values ("$997 value" for a PDF)
Bonuses that duplicate the core offer

Guarantee Strength (0-10, Weight: 1x)

Score	Description
9-10	Performance guarantee with specific outcome, plus bonus if they fail
7-8	Conditional guarantee with clear criteria, or strong unconditional
5-6	Standard money-back guarantee (30-60 days)
3-4	Vague guarantee, restrictive conditions, or hard to claim
0-2	No guarantee, or "all sales final"

Red Flags:

"Satisfaction guaranteed" (meaningless)
Hidden conditions to claim guarantee
7-day or very short guarantee window

Score Calculation

Dream Outcome Score × 2 = ___
Perceived Likelihood × 2 = ___
Time to Results × 1.5 = ___
Effort Required × 1.5 = ___
Bonus Stack × 1 = ___
Guarantee × 1 = ___
─────────────────────────
TOTAL = ___ / 100

Output Template

# Offer Validation: [Offer Name]

## Quick Rating

| Rating | Score | Verdict |
|--------|-------|---------|
| [Grand Slam / Strong / Decent / Weak / Broken] | XX/100 | [One-line summary] |

## Score Breakdown

| Dimension | Raw Score | Weight | Weighted Score | Status |
|-----------|-----------|--------|----------------|--------|
| Dream Outcome | X/10 | ×2 | XX/20 | [Fix/Optimize/Strong] |
| Perceived Likelihood | X/10 | ×2 | XX/20 | [Fix/Optimize/Strong] |
| Time to Results | X/10 | ×1.5 | XX/15 | [Fix/Optimize/Strong] |
| Effort Required | X/10 | ×1.5 | XX/15 | [Fix/Optimize/Strong] |
| Bonus Stack | X/10 | ×1 | XX/10 | [Fix/Optimize/Strong] |
| Guarantee | X/10 | ×1 | XX/10 | [Fix/Optimize/Strong] |
| **TOTAL** | | | **XX/100** | |

## Detailed Assessment

### Dream Outcome: X/10
**What's Working:** [Positive aspects]
**What's Missing:** [Gaps identified]
**Fix:** [Specific action to improve]

[Repeat for each dimension...]

## Priority Fixes (Do These First)

1. **[Dimension]:** [Specific fix with expected impact]
2. **[Dimension]:** [Specific fix with expected impact]
3. **[Dimension]:** [Specific fix with expected impact]

## Next Steps

### If Score 85+:
- [ ] Launch and scale
- [ ] A/B test minor optimizations

### If Score 70-84:
- [ ] Fix priority items above
- [ ] Re-validate after changes

### If Score 55-69:
- [ ] Major rework needed before launch
- [ ] Use `offer-architect` to rebuild weak components

### If Score Below 55:
- [ ] Do not launch this offer
- [ ] Use `offer-architect` to create from scratch

Example Validations

Example: Weak Offer (28/100)

User's Offer: "Social Media Management - $500/month

3 posts per week
Monthly report
Email support"

Dimension	Score	Issue
Dream Outcome	3/10	No outcome, just deliverables
Perceived Likelihood	2/10	No proof, no credentials
Time to Results	4/10	No timeline or quick wins
Effort Required	6/10	Done-for-you (good)
Bonus Stack	1/10	No bonuses
Guarantee	1/10	No guarantee mentioned

Priority Fixes:

1. Add Dream Outcome: "Book 5+ sales calls from social media in 90 days" 2. Add Proof: Show case studies with specific numbers 3. Add Guarantee: "5 calls in 90 days or we work free until you get them"

Example: Strong Offer (81/100)

User's Offer: "Revenue Machine: Done-For-You Social That Sells - $1,997/mo

For service businesses stuck under $50K/mo
90 days of done-for-you content
Weekly lead intelligence report
Direct-to-DM sales system
Guarantee: 5 sales calls in 90 days or we work free
Bonuses: DM templates, strategy call, content vault"

Dimension	Score	Notes
Dream Outcome	8/10	Clear outcome (sales calls), specific timeline
Perceived Likelihood	7/10	Needs more case studies
Time to Results	8/10	90 days with weekly milestones
Effort Required	9/10	Done-for-you, minimal customer effort
Bonus Stack	7/10	Solid stack, could be stronger
Guarantee	9/10	Performance guarantee, clear and strong

Minor Optimizations:

1. Add 2-3 case studies with specific numbers 2. Add one more "certainty" bonus (community access?)

Common Validation Mistakes

1. Being Too Nice: Don't sugarcoat. Tell them what's broken. 2. Missing Context: Always understand WHO the offer is for 3. Ignoring Competition: What are competitors offering? 4. Surface-Level Assessment: Dig into WHY each score is what it is 5. No Actionable Fixes: Every weakness needs a specific fix 6. Skipping Dimensions: Score all 6 dimensions, even if they overlap