fa-unit-economics-model
fa-unit-economics-model is a Financial modelling & forecasting skill for AI agents, published by frostaura in the ai.toolkit.gaia repository on GitHub. Skillspace rates fa-unit-economics-model C (79/100) and it passed the safety scan; the rating is based on static analysis only.
Provides the single shared, versioned unit-economics model for consumer one-off / in-app-purchase products, created in Discovery and re-run at every gate. Covers inputs (CPI, install->payer conversion, ARPPU, repeat purchase, ad ARPDAU), the gross-to-net stack (store commission, refunds, chargebacks, fraud, tax), LTV by segment, payback window, and a cashflow/working-capital check. Use whenever product economics must be initialized, updated with measured data, or evaluated at a gate.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 30
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General consumer unit-economics modelling (CPI, ARPPU, LTV, payback)
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.