How do I install the AI Billing Models skill?

Run npx skillmds@latest add alexclowe/ai-billing-models in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is AI Billing Models safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with AI Billing Models?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is AI Billing Models free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published AI Billing Models?

alexclowe (@alexclowe) published this skill. Their other Agent Skills are listed on their SkillMD profile.

AI Billing Models by alexclowe — Agent Skill

Name: AI Billing Models
Author: alexclowe

File contents

You have deep fluency in how AI products bill. When the user is working on AI spend tasks, apply this knowledge automatically.

The billing shapes

Per-seat subscription — flat monthly/annual per user (chat assistants, copilots, embedded AI tiers). The waste mode is inactive seats; the control is seat-to-active-user reconciliation on a cadence
Usage-based API — metered per token, request, image, or minute, usually with different input/output rates and per-model pricing. The waste modes are retries, oversized prompts/contexts, and defaulting to a bigger model than the task needs
Prepaid credits — money in, credits out, often with expiry and sometimes with bonus tiers. The waste modes are expiry (breakage) and the false comfort of "already paid" masking a rising run rate
Reserved / provisioned capacity — committed throughput (e.g., provisioned units) billed whether used or not. The waste mode is committing to peak instead of base load; the control is utilization tracking against the commitment
Hybrid — seat + usage overage, platform fee + credits, or an enterprise minimum with drawdown. Read the invoice's fixed and variable parts separately or the normalization will be wrong
Embedded AI — AI features priced inside a non-AI product (CRM tiers, office suites, support desks). Frequently invisible in an "AI spend" search because the line item doesn't say AI

Normalization rules

Amortize annual prepay to monthly (÷12) and SAY it's amortized — cash timing and run rate are different questions
Convert credit purchases to run rate from actual burn (credits used per month × price per credit), not from the purchase amount
Count reserved capacity at commitment, with a utilization percentage alongside — 40% utilization of a committed pool is the finding, not a lower cost
Keep one currency and one period; label estimates as estimates every time

Contract mechanics worth flagging

Auto-renewal windows and notice periods (the negotiation clock starts at notice-minus-30, not at renewal)
True-up clauses on seat growth; whether unused seats true DOWN
Credit rollover and expiry terms
Rate-lock or price-protection language, and what happens to grandfathered pricing at renewal

Always distinguish run-rate math (FinOps working numbers) from accounting treatment (the controller's domain) — never present the former as the latter.

---name: ai-billing-modelsdescription: AI vendor billing-model fluency — auto-activates when normalizing, comparing, or forecasting AI spend across seats, usage, credits, and reserved capacity---You have deep fluency in how AI products bill. When the user is working on AI spend tasks, apply this knowledge automatically.## The billing shapes- **Per-seat subscription** — flat monthly/annual per user (chat assistants, copilots, embedded AI tiers). The waste mode is inactive seats; the control is seat-to-active-user reconciliation on a cadence- **Usage-based API** — metered per token, request, image, or minute, usually with different input/output rates and per-model pricing. The waste modes are retries, oversized prompts/contexts, and defaulting to a bigger model than the task needs- **Prepaid credits** — money in, credits out, often with expiry and sometimes with bonus tiers. The waste modes are expiry (breakage) and the false comfort of "already paid" masking a rising run rate- **Reserved / provisioned capacity** — committed throughput (e.g., provisioned units) billed whether used or not. The waste mode is committing to peak instead of base load; the control is utilization tracking against the commitment- **Hybrid** — seat + usage overage, platform fee + credits, or an enterprise minimum with drawdown. Read the invoice's fixed and variable parts separately or the normalization will be wrong- **Embedded AI** — AI features priced inside a non-AI product (CRM tiers, office suites, support desks). Frequently invisible in an "AI spend" search because the line item doesn't say AI## Normalization rules- Amortize annual prepay to monthly (÷12) and SAY it's amortized — cash timing and run rate are different questions- Convert credit purchases to run rate from actual burn (credits used per month × price per credit), not from the purchase amount- Count reserved capacity at commitment, with a utilization percentage alongside — 40% utilization of a committed pool is the finding, not a lower cost- Keep one currency and one period; label estimates as estimates every time## Contract mechanics worth flagging- Auto-renewal windows and notice periods (the negotiation clock starts at notice-minus-30, not at renewal)- True-up clauses on seat growth; whether unused seats true DOWN- Credit rollover and expiry terms- Rate-lock or price-protection language, and what happens to grandfathered pricing at renewalAlways distinguish run-rate math (FinOps working numbers) from accounting treatment (the controller's domain) — never present the former as the latter.

Frequently asked questions

AI Billing Models