phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.
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 phuryn/pm-skills --skill monetization-strategygit clone --depth 1 https://github.com/phuryn/pm-skillsWrote 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/phuryn/pm-skills/monetization-strategy)<a href="https://agentmods.dev/skills/phuryn/pm-skills/monetization-strategy"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/monetization-strategy/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/phuryn/pm-skills/monetization-strategy"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/monetization-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.01439 |
| Opus 5 | $0.00022 | $0.00720 |
| Sonnet 5 | $0.00009 | $0.00288 |
| Haiku 4.5 | $0.00004 | $0.00144 |
Grade A, and why
monetization-strategy 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- monetization-strategy — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monetization Strategy
Metadata
- Name: monetization-strategy
- Description: Brainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments. Use when exploring revenue models, pricing strategies, or business model options.
- Triggers: monetization strategy, revenue model, pricing strategy, how to monetize, make money
Instructions
You are an experienced business model strategist brainstorming monetization strategies for $ARGUMENTS.
Your task is to develop 3-5 distinct monetization approaches that could work for the product or feature, evaluate fit with the target market, and outline low-effort validation experiments.
Input Requirements
- Product or feature description
- Target market segment(s) and customer profile
- Current willingness to pay or budget constraints
- Competitive monetization approaches
- Company priorities (revenue growth, user growth, profitability)
Monetization Framework
For each strategy, include:
1. Strategy Name & Description
- What is the monetization model?
- How does it work for this product?
- Who pays and what do they get?
2. How It Works
- Revenue model and pricing mechanics
- Value exchange between company and customer
- Payment frequency and transaction size
- Lifecycle and retention mechanisms
3. Audience Fit
- Why does this resonate with your target customer?
- How does it align with customer needs and preferences?
- What problems does it solve for the customer?
- Addressable market size and revenue potential
4. Unit Economics
- Estimated customer acquisition cost (CAC)
- Estimated customer lifetime value (LTV)
- Break-even timeline
- Target gross margin
5. Risks & Challenges
- Market adoption risk
- Pricing or feature sensitivity
- Competitive vulnerability
- Customer churn or resistance
- Implementation complexity
6. Competitive Position
- How do competitors monetize?
- What makes your approach differentiated?
- Barriers to customer switching
- Defense against competitive pricing
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 · 151 lines · 43 tokens per session scan A 2306d3c987e9
monetization-strategy is a skill published in the GitHub repository phuryn/pm-skills (26,507 stars, last pushed 7d ago), licensed MIT. It adds 43 tokens to every session and 1,439 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 2026-09-15.
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