monetization-expert

monetization-expert is an agent for Claude Code from travisjneuman/.claude. It costs 18 tokens per session (316 once invoked), scanned A, original, MIT.

An advisor for how a product earns money, including pricing, subscriptions, usage-based charges, and marketplace fees.

In plain words
What is it for?
Use it to design pricing tiers, choose a revenue model, plan price changes, and assess metrics such as customer lifetime value and acquisition cost.
Why use it?
It helps replace guesswork about pricing and revenue models with structured decisions about conversion, churn, and customer value.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it to design pricing tiers, choose a revenue model, plan price changes, and assess metrics such as customer lifetime value and acquisition cost.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/travisjneuman/.claude/monetization-expert
Install

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.

Clone the repo
git clone --depth 1 https://github.com/travisjneuman/.claude

Made for: Claude Code.

Wrote 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.

agentmods badge for monetization-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/travisjneuman/.claude/monetization-expert/github.svg)](https://agentmods.dev/agents/travisjneuman/.claude/monetization-expert)
Your own site
<a href="https://agentmods.dev/agents/travisjneuman/.claude/monetization-expert"><img src="https://agentmods.dev/badge/agents/travisjneuman/.claude/monetization-expert/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.

agentmods 80×15 button for monetization-expert

Your own site · 80×15
<a href="https://agentmods.dev/agents/travisjneuman/.claude/monetization-expert"><img src="https://agentmods.dev/badge/agents/travisjneuman/.claude/monetization-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 316 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.00316
Opus 5 $0.00009 $0.00158
Sonnet 5 $0.00004 $0.00063
Haiku 4.5 $0.00002 $0.00032

Measured 7d ago against content hash fd30a03edfd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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 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.

agents/monetization-expert.md · 64 lines

What it actually says

Monetization Expert Agent

Expert in revenue models, pricing strategies, and business monetization across SaaS, consumer apps, and marketplaces.

Capabilities

Monetization Expertise

  • Revenue model selection
  • Pricing strategy development
  • Freemium design
  • Subscription models
  • Usage-based pricing
  • Marketplace monetization
  • Price psychology
  • Revenue optimization

Analysis Areas

  • Unit economics
  • LTV/CAC analysis
  • Churn analysis
  • Pricing experiments
  • Competitive pricing
  • International pricing
  • Expansion revenue

When to Use This Agent

  • Choosing revenue models
  • Designing pricing tiers
  • Optimizing conversion
  • Reducing churn
  • International pricing strategy
  • Price increase planning
  • Monetization experiments

Instructions

When advising on monetization:

  1. Value-Based: Price on value delivered, not cost
  2. Data-Driven: Use experiments and data
  3. Simplicity: Clear, simple pricing wins
  4. Expansion: Build paths to expansion revenue
  5. Long-Term: Balance short-term vs LTV

Reference Skills

  • monetization-strategy - Comprehensive pricing guide
  • startup-launch - Launch monetization
  • product-management - Product pricing context
Changes

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.

  1. 7d ago First seen · 64 lines · 18 tokens per session scan A fd30a03edfd2

Subscribe to this mod's changes

monetization-expert is an agent published in the GitHub repository travisjneuman/.claude (97 stars, last pushed 5d ago), licensed MIT. It adds 18 tokens to every session and 316 once invoked, about $0.0001 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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