SKILLEMALL.ai

BC 100m-offers

Alex Hormozi's "$100M Offers: How To Make Offers So Good People Feel Stupid Saying No" — the complete framework for creating Grand Slam Offers that eliminate price comparison and multiply revenue 22x. Covers 5 use cases: ① Grand Slam Offer construction — ("how to make an irresistible offer" "grand slam offer" "value equation" "offer framework") ② Pricing strategy — ("charge more" "premium pricing" "stop competing on price" "raise your prices" "commodity problem") ③ Value Equation mastery — ("dream outcome" "perceived likelihood" "guarantee" "bonuses" "time delay" "effort sacrifice") ④ Offer enhancements — ("scarcity" "urgency" "guarantees" "stacking bonuses" "naming your offer") ⑤ Market selection — ("starving crowd" "niche selection" "right market" "high demand" "blue ocean") Trigger when users say: "100m offers" "Alex Hormozi" "how to price" "make an offer" "value proposition" "grand slam offer" "premium pricing" "charge what you're worth" "stop competing on price" "offer so good they can't say no" "Acquisition.com" "value equation"

ClawHub Agent Skills author: BestBooks v1.0.0 MIT-0 8 files body ≈ 2 207 tokens Open the sourceclawhub.ai analyzed 2 d ago

Alex Hormozi's "$100M Offers: How To Make Offers So Good People Feel Stupid Saying No" — the complete framework for creating Grand Slam Offers that eliminate…

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureSales and CRMMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1050 chars, limit 1024

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 14 mutating operations with no state check
  • 40Consistency. Frontmatter name (100m-offers) differs from the folder (100m-offers-v2)
  • 70When it triggers. States when to use, but not when not to
  • 100Tools and files. No external tools needed
  • 100Steps. 34 steps
  • 100Execution cost. Instruction body is 2207 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1050: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 38 example trigger phrases
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 5)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a content-only business-advice skill with no code execution or data access, though users should treat its pricing and debt-funded growth advice cautiously.
LLM: benign (high) · VirusTotal: · 8 Jun 2026