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.
git clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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/travisjneuman/.claude/monetization-expert)<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.
<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>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 | $0.00018 | $0.00316 |
| Opus 5.5 | $0.00007 | $0.00126 |
| Sonnet 5.5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
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 1mo 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.
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:
- Value-Based: Price on value delivered, not cost
- Data-Driven: Use experiments and data
- Simplicity: Clear, simple pricing wins
- Expansion: Build paths to expansion revenue
- Long-Term: Balance short-term vs LTV
Reference Skills
monetization-strategy- Comprehensive pricing guidestartup-launch- Launch monetizationproduct-management- Product pricing context
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.
- 1mo ago First seen · 64 lines · 18 tokens per session scan A fd30a03edfd2
monetization-expert is an agent published in the GitHub repository travisjneuman/.claude (106 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 316 once invoked, about $0.0001 per session on Opus 5.5. 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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