Skill profile

money-models

Designs a deliberate sequence of offers (attraction.

What this skill does for you

Designs a deliberate sequence of offers (attraction, upsell, downsell, continuity) so a new customer generates enough cash within ~30 days to fund acquiring the next one - Alex Hormozi's client-financed acquisition. Use when customers buy once and never again, when CAC eats all the profit, when you can't afford to advertise profitably, when the business grows but cash shrinks, when you sell one product at one price, when deciding what to sell first or next, or when structuring upsells, downsells, payment plans, trials, and continuity. Covers the 30-day payback rule, attraction/upsell/downsell/continuity offer types, and cash-flow sequencing for validated markets.

Quoted from the skill description in the pinned source

Who made it

Publishergetagentseal

Repositoryfounder-playbook

Installs303as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the money-models skill from getagentseal/founder-playbook.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 05e29d2ea1f8bf3c7dd97351f8c71e9b3da2a2fd. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 05e29d2ea1f8bf3c7dd97351f8c71e9b3da2a2fd. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 05e29d2ea1f8bf3c7dd97351f8c71e9b3da2a2fd. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/getagentseal/founder-playbook
Pinned skill file: View source at revision
Revision: 05e29d2ea1f8bf3c7dd97351f8c71e9b3da2a2fd
Package hash: sha256:6725027a3dc490fbc03f8b061e8ea3449937e081fcc2d1e312940b18baf14c92
Licence: MIT