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 skills add LiHongwei-cn/lihongwei-cn --skill monetizationgit clone --depth 1 https://github.com/LiHongwei-cn/lihongwei-cnWrote 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/skills/lihongwei-cn/lihongwei-cn/monetization)<a href="https://agentmods.dev/skills/lihongwei-cn/lihongwei-cn/monetization"><img src="https://agentmods.dev/badge/skills/lihongwei-cn/lihongwei-cn/monetization/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lihongwei-cn/lihongwei-cn/monetization"><img src="https://agentmods.dev/badge/skills/lihongwei-cn/lihongwei-cn/monetization.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00043 | $0.03032 |
| Opus 5 | $0.00022 | $0.01516 |
| Sonnet 5 | $0.00009 | $0.00606 |
| Haiku 4.5 | $0.00004 | $0.00303 |
Grade A, and why
monetization 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 7d ago.
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 — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MONETIZATION - Do Produto ao Revenue
Overview
Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e modelos de negocio SaaS. Ativar para: integrar Stripe, criar planos de assinatura, pricing strategy, upgrade/downgrade, webhook de pagamento, trial gratuito, churn, LTV/CAC, unit economics, modelo de negocio.
When to Use This Skill
- When you need specialized assistance with this domain
Do Not Use This Skill When
- The task is unrelated to monetization
- A simpler, more specific tool can handle the request
- The user needs general-purpose assistance without domain expertise
How It Works
Price is what you pay. Value is what you get. - Warren Buffett A monetizacao perfeita captura valor proporcional ao valor entregue.
A Regra De Ouro
Usuarios pagam quando:
- O produto resolve um problema real (need)
- A solucao e melhor que alternativas (differentiation)
- O preco e percebido como justo (value perception)
- O momento de cobranca e natural (timing)
Erros Classicos
- Cobranca antes de mostrar valor (kill activation)
- Preco muito baixo (sinaliza baixa qualidade)
- Planos demais (paralisia de escolha)
- Trial sem carta de credito (baixa conversao)
- Churn invisivel (sem alertas de cancelamento iminente)
Setup Inicial
pip install stripe
## Ou
npm install stripe
## Config.Py
import stripe
import os
stripe.api_key = os.environ["STRIPE_SECRET_KEY"]
STRIPE_WEBHOOK_SECRET = os.environ["STRIPE_WEBHOOK_SECRET"]
PLANS = {
"free": None,
"pro": os.environ["STRIPE_PRICE_PRO"],
"business": os.environ["STRIPE_PRICE_BIZ"],
}
Criar Customer E Subscription
def create_customer(email: str, name: str, user_id: str) -> str:
customer = stripe.Customer.create(
email=email,
name=name,
metadata={"user_id": user_id}
)
return customer.id
def create_subscription(customer_id: str, price_id: str, trial_days: int = 14):
subscription = stripe.Subscription.create(
customer=customer_id,
items=[{"price": price_id}],
trial_period_days=trial_days,
payment_behavior="default_incomplete",
expand=["latest_invoice.payment_intent"],
)
return {
"subscription_id": subscription.id,
"client_secret": subscription.latest_invoice.payment_intent.client_secret,
"status": subscription.status
}
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.
- 7d ago First seen · 414 lines · 43 tokens per session scan A a1b3e7b54bec
monetization is a skill published in the GitHub repository LiHongwei-cn/lihongwei-cn (5 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 3,032 once invoked, about $0.0002 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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