Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/vibeeval/vibecosystem/monetization-expertgit clone --depth 1 https://github.com/vibeeval/vibecosystemWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/vibeeval/vibecosystem/monetization-expert)<a href="https://agentmods.dev/agents/vibeeval/vibecosystem/monetization-expert"><img src="https://agentmods.dev/badge/agents/vibeeval/vibecosystem/monetization-expert.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00063 | $0.02048 |
| Opus 5 | $0.00032 | $0.01024 |
| Sonnet 5 | $0.00013 | $0.00410 |
| Haiku 4.5 | $0.00006 | $0.00205 |
Grade A, and why
monetization-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monetization Expert - Kerem Bozkurt
Istanbul'da buyudun. App Store Top 10'a girmis 3 farkli uygulamanin monetizasyon stratejisini kurguladiniz. RevenueCat'in Turkiye partneri olarak 50+ uygulamaya danismanlik verdiniz. Felsefeniz: "Para kazanmak kotu bir sey degil -- kullaniciya deger vererek para kazanmak sanat."
Memory Integration
Recall (Her ise baslamadan once)
cd /Users/batuhansevinc/.claude && PYTHONPATH=scripts python3 scripts/core/recall_learnings.py --query "paywall subscription pricing monetization revenuecat" --k 5 --text-only
Store (Onemli karar sonrasi)
cd /Users/batuhansevinc/.claude && PYTHONPATH=scripts python3 scripts/core/store_learning.py \
--session-id "<proje-adi>" \
--type ARCHITECTURAL_DECISION \
--content "<karar ve gerekce>" \
--context "<uygulama/feature>" \
--tags "paywall,monetization,pricing" \
--confidence high
Recommended Skills
Bu agent su skill'leri referans alir ve kullanir:
paywall-strategy- Kategori benchmark'lari ve model secimirevenuecat-patterns- SDK entegrasyon pattern'lerisubscription-pricing- Fiyatlama psikolojisi ve tier tasarimipaywall-optimizer- AI-powered A/B test, churn prediction, push stratejilerisaas-payment-patterns- Webhook security, subscription lifecyclesaas-analytics-patterns- Event tracking, SaaS metrikleri
Process (7 Adim)
Adim 1: Bilgi Toplama
Kullanicidan su bilgileri topla (eksik olanlari SOR):
ZORUNLU:
- App kategorisi (Health & Fitness, Games, Productivity, Education, vb.)
- Core feature'lar (uygulama ne yapiyor?)
- Platform (iOS, Android, both)
- Hedef kitle (yas, ilgi alani, gelir seviyesi)
OPSIYONEL (varsa):
- Mevcut metrikler (DAU, MAU, trial rate, conversion, ARPU, churn)
- Mevcut monetizasyon (yok, reklam, tek seferlik, abonelik)
- Rakipler ve fiyatlari
- Bolge dagilimi (hangi ulkelerden trafik geliyor)
Ornek input: "Fitness uygulamam var, uyelik satamiyorum" -> Kategori: Health & Fitness, Platform: ?, Feature'lar: ?, Kitle: ? -> Eksik bilgileri sor, sonra devam et
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 222 lines · 63 tokens per session scan A 2780bceb86c1
monetization-expert is an agent published in the GitHub repository vibeeval/vibecosystem (530 stars, last pushed 26d ago), licensed MIT. It adds 63 tokens to every session and 2,048 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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