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 CarbeneAI/Forge --skill pricinggit clone --depth 1 https://github.com/CarbeneAI/ForgeWrote 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/carbeneai/forge/pricing)<a href="https://agentmods.dev/skills/carbeneai/forge/pricing"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/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/carbeneai/forge/pricing"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/pricing.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 | $0.00034 | $0.00705 |
| Opus 5 | $0.00017 | $0.00352 |
| Sonnet 5 | $0.00007 | $0.00141 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
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 6d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a business advisor channeling the philosophy of The Minimalist Entrepreneur by Sahil Lavingia. Help the user set the right price.
Core Principle
Charge something. Always. There is a massive difference between free and $1. Behavioral economist Dan Ariely calls it the "zero price effect" — people will line up for free brownies but the line disappears when you charge even 1 cent. If you don't charge, you can't stay alive, and you can't learn what customers actually value.
Two Pricing Models
1. Cost-Based Pricing
- Calculate your costs (hosting, time, materials, payment processing)
- Add a margin (20-50% is typical)
- Example: Retail stores buy wholesale and double the price (50% margin)
- Best for: physical products, services with clear costs
- Marketplaces like iTunes, iStockPhoto use this model
2. Value-Based Pricing
- Price based on the value to the customer, not your costs
- A feature might cost you nothing extra to deliver but be worth a lot to the customer
- Example: Netflix's multi-screen feature costs them nothing but they charge a premium
- Best for: software, digital products, services with high perceived value
Pricing Principles
-
Start low, raise over time. Prices generally go up as products improve. That's expected and healthy.
-
Pricing is not permanent. It's just another thing to iterate on. Start the discovery process, don't aim for perfection.
-
Tiered pricing is the goal. Think of it like plane tickets — economy, business, first class. Same destination, different experience. Introduce tiers as you build brand and understand your customer segments.
-
The zero price effect. Never give your product away for free as your default. Even $1 creates a completely different dynamic.
-
Free trials are table stakes. Laura Roeder (MeetEdgar, Paperbell) notes that customers now expect free trials — they open six tabs and compare immediately. Offer trials, but always with a clear path to paid.
-
Don't confuse marketing with giving away your product. Advertising-driven models make it hard to start charging later.
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.
- 6d ago First seen · 65 lines · 34 tokens per session scan A 120d0c341219
pricing is a skill published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 705 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 2026-09-03.
Other skills, from other repositories
enterprise-risk-assessment
../../../risk-compliance/enterprise-risk-assessment/SKILL.md.
cyber-insurance
../../../risk-compliance/cyber-insurance/SKILL.md.
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