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 saski/arnesto --skill monetizing-innovationgit clone --depth 1 https://github.com/saski/arnestoWrote 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/saski/arnesto/monetizing-innovation)<a href="https://agentmods.dev/skills/saski/arnesto/monetizing-innovation"><img src="https://agentmods.dev/badge/skills/saski/arnesto/monetizing-innovation.svg" alt="Measured on agentmods" 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 | $0.00080 | $0.00586 |
| Opus 5 | $0.00040 | $0.00293 |
| Sonnet 5 | $0.00016 | $0.00117 |
| Haiku 4.5 | $0.00008 | $0.00059 |
Grade A, and why
monetizing-innovation 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 3d 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.
This is a copy
100% identical to monetizing-innovation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Context
This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.
Input Requirements
- Context about your product, feature, or problem
- Relevant data, research, or constraints (recommended but optional)
- Clear articulation of what you're trying to achieve
Monetizing Innovation
What It Is
Monetizing Innovation is a framework for designing products that customers need, value, AND are willing to pay for. The core insight: price is not a number you slap on at the end — it's a measure of value that should guide what you build from the start.
The key shift: Move from "build the product, then figure out pricing" to "understand willingness to pay, then design the product around it."
72% of innovations fail from a monetization perspective — not because the product is bad, but because companies never validated that customers would actually pay for it.
Credit: This framework is based on Monetizing Innovation by Madhavan Ramanujam and Georg Tacke of Simon-Kucher & Partners, the world's leading pricing strategy consulting firm.
When to Use It
Use Monetizing Innovation when you need to:
- Validate product ideas before investing engineering resources
- Prioritize your roadmap based on what drives willingness to pay
- Choose a pricing model (subscription, usage, hybrid, outcome-based)
- Design packaging tiers (good/better/best) that convert
- Increase revenue without building new features
- Avoid leaving money on the table or underpricing
- Prepare for price negotiations in B2B sales
- Navigate pricing in a downturn without destroying value
When Not to Use It
- Commoditized markets where you have no pricing power
- Regulated pricing environments (healthcare, utilities)
- Very early discovery — you need a product concept to test
- Consumer products with pure network effects where monetization must wait
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.
- 3d ago First seen · 60 lines · 80 tokens per session scan A 0e2fb7f217f1
monetizing-innovation is a skill published in the GitHub repository saski/arnesto (5 stars, last pushed today), licensed Unlicense. It adds 80 tokens to every session and 586 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to monetizing-innovation, differing in 0 lines, and is treated as a copy.
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