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 calionauta/stelow --skill stelow-product-paywallgit clone --depth 1 https://github.com/calionauta/stelowWrote 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/calionauta/stelow/stelow-product-paywall)<a href="https://agentmods.dev/skills/calionauta/stelow/stelow-product-paywall"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-paywall/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/calionauta/stelow/stelow-product-paywall"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-paywall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00117 | $0.03952 |
| Opus 5.5 | $0.00047 | $0.01581 |
| Sonnet 5.5 | $0.00023 | $0.00790 |
| Haiku 4.5 | $0.00012 | $0.00395 |
Grade A, and why
stelow-product-paywall 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 14d 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.
How it starts
The opening of the file, as written. The whole thing — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monetization Funnel: Paywall & Onboarding
Adapted from "The Ultimate Paywall & Onboarding Playbook" by Jake Castillo (Founder of Cal AI, July 2026). Cal AI ran 100+ paywall A/B tests and went from $0 to ~$30M ARR. This is the machine that collects the money once marketing brings traffic.
Core principle: the paywall and onboarding ARE the business. Marketing gets people to the door; this funnel converts them into revenue.
When to Use
- Evaluating an existing consumer app's monetization funnel (diagnosis mode)
- Designing the paywall + onboarding flow for a new product (design mode)
- Diagnosing a conversion leak: which part of the machine is broken
- Deciding trial policy, paywall placement, or onboarding length
1. Get the Order of Operations Right
Most founders build: UI/UX → features → free trials → onboarding → paywall. That's backwards.
Build in this order:
- Paywall first — that's how you make money
- Onboarding second — that's how you get people to the paywall
- Product features
- In-app experience
Don't seriously optimize the in-app experience until the funnel is crushing it. 100% retention and 100% satisfaction mean nothing with no customers.
2. The Paywall Is a Lie Detector
There are two versions of product-market fit:
- Version 1: people are willing to download your app
- Version 2: people are willing to PAY for your app
Only one of these is a business. The paywall tells you the truth about your product faster than any customer survey ever will.
Industry data (RevenueCat, tens of thousands of subscription apps):
- Hard-paywall apps convert trials to paid at 10.7% vs 2.1% for freemium (5x)
- By day 60, hard-paywall apps generate ~8x more revenue per install ($3.09 vs $0.38)
- At 12 months, retention is basically identical (27% vs 28%)
Charging up front doesn't just make more money — it tells you whether people will actually pay, before you've sunk months into the app.
3. Friction Is an Asset at the Decision to Buy
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.
- 14d ago Changed · +6 lines 2057a03ed553
- 1mo ago Changed 4f7a52525e53
- 1mo ago Changed · +6 lines 837bfa03844c
- 1mo ago Changed · +18 lines 050fd12c94ee
- 1mo ago Changed · +8 lines a4c71948b9f3
- 1mo ago Changed 9bdca283d93d
- 2mo ago First seen · 315 lines · 117 tokens per session scan A 7b55868f9296
stelow-product-paywall is a skill published in the GitHub repository calionauta/stelow (14 stars, last pushed 9d ago), licensed MIT. It adds 117 tokens to every session and 3,952 once invoked, about $0.0005 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 2026-08-30.
stelow-product-paywall compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stelow-product-paywallcalionauta/stelow | Skill | 14 | 9d ago | MIT | A | 117 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
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| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |