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 tjboudreaux/cc-plugin-product-strategist --skill product-monetizationgit clone --depth 1 https://github.com/tjboudreaux/cc-plugin-product-strategistWrote 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/tjboudreaux/cc-plugin-product-strategist/product-monetization)<a href="https://agentmods.dev/skills/tjboudreaux/cc-plugin-product-strategist/product-monetization"><img src="https://agentmods.dev/badge/skills/tjboudreaux/cc-plugin-product-strategist/product-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/tjboudreaux/cc-plugin-product-strategist/product-monetization"><img src="https://agentmods.dev/badge/skills/tjboudreaux/cc-plugin-product-strategist/product-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 | $0.00025 | $0.00327 |
| Opus 5 | $0.00013 | $0.00163 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
product-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 11d 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 Portfolio Design
Intent
- Balance user delight with sustainable revenue across devices, regions, and regulatory regimes.
- Prototype monetization mechanics early to validate willingness-to-pay and economic viability.
Inputs
- Current revenue streams + unit economics (ARPU, payer mix, whale dependency, gas costs).
- Competitive benchmarks (pricing ladders, battle passes, loot tables, NFT drops, premium tiers).
- Compliance requirements (app store rules, KYC/AML, regional taxes).
Workflow
- Value exchange mapping
- Identify core value units (time, status, access, ownership) and user motivations.
- Portfolio ideation
- Generate monetization concepts across low-friction (ads, referrals) to high-commitment (subscriptions, ownership, DeFi yield).
- Define guardrails (pay-to-win avoidance, fairness, secondary market policy).
- Economic modeling
- Build lightweight spreadsheets or tokenomics sims for each concept; stress-test retention impact and margin.
- Validation path
- Outline pricing experiments (offer tests, bundles, limited-time events) and required instrumentation.
- Align cross-functional sign-offs (legal, finance, platform, community).
Verification
- Every monetization concept includes user value narrative + downside risks.
- Economic models reviewed with finance/analytics; assumptions documented.
- Experiments logged with success metrics (conversion, payer NPS, churn impact).
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.
- 11d ago First seen · 33 lines · 25 tokens per session scan A 305c68601791
product-monetization is a skill published in the GitHub repository tjboudreaux/cc-plugin-product-strategist (2 stars, last pushed 7mo ago), licensed MIT. It adds 25 tokens to every session and 327 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 2026-08-31.
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