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-pricinggit 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-pricing)<a href="https://agentmods.dev/skills/calionauta/stelow/stelow-product-pricing"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-pricing/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-pricing"><img src="https://agentmods.dev/badge/skills/calionauta/stelow/stelow-product-pricing.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 | $0.00034 | $0.02213 |
| Opus 5 | $0.00017 | $0.01107 |
| Sonnet 5 | $0.00007 | $0.00443 |
| Haiku 4.5 | $0.00003 | $0.00221 |
Grade A, and why
stelow-product-pricing 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Pricing
Thinking about pricing is thinking about the nature of the relationship we want to build. Price is not just a number; it's the formalization of a value exchange — an agreement on how risk and benefit are shared.
Models — Theme: Exchange Base
One-Time Payment for Ownership — "Buy It, It's Yours" Definitive transaction. The customer pays once and assumes total ownership and responsibility. Works well for durable goods or digital products where the maintenance cost for the creator is zero after sale.
Payment for Access (Instead of Ownership) The logic is the exchange of permanent ownership for temporary access. Manifests in main forms:
-
Access by Time Period:
- Recurring subscription: periodic payment (usually monthly) to maintain continuous access. Standard model for Netflix, Spotify, most SaaS.
- Finite term license: one-time payment for access for a long and predetermined period (one or five years). At the end of the term, access ends without automatic renewal. Offers predictability for both sides.
-
Access per Unit of Outcome: payment is tied to a specific and transactional delivery. Example: AI service that transcribes audios — the customer pays R$ 0.10 per minute of transcribed audio. Pays for output, not for time of use.
⚠️ Don't confuse with "value-generated pricing": in access per unit of outcome, the price is fixed per transaction (X per minute, Y per image). In value-generated pricing, it's a variable percentage of a business impact (Z% of revenue increase).
Models — Theme: Consumption Control
Pre-Paid Credits Payment The customer buys a package of "credits" in advance, consumed as they use the service. Gives clear control over spending and guarantees upfront revenue for the company. Forces awareness about use — each action has a visible cost that deducts the balance, making consumption more intentional.
Computational Granularity Pricing Driven by variable cost technologies like AI. Price is tied directly to the resource consumed: per seconds/minutes of time that an AI model uses a specialized processor (GPU/TPU), per token of text processed, or per image generated. Reflects the real economy behind the service.
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 Changed · +22 lines 1cb23216213b
- 12d ago First seen · 161 lines · 34 tokens per session scan A 65f5fea6b7f2
stelow-product-pricing is a skill published in the GitHub repository calionauta/stelow (10 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 2,213 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 2026-08-30.
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