ai-billing-models SKILL.md skillA
ai-billing-models from alexclowe/awesome-copilot-cowork-plugins is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add alexclowe/awesome-copilot-cowork-plugins/ai-billing-models@git:20260717.cfa2a0aPins git:20260717.cfa2a0a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- alexclowe/awesome-copilot-cowork-plugins
- Path
finops-practitioner/skills/ai-billing-models/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260717.cfa2a0a, committed Jul 17, 2026
- Size
- 2,629 bytes
- Repository stars
- 21
- License
- MIT
AI vendor billing-model fluency — auto-activates when normalizing, comparing, or forecasting AI spend across seats, usage, credits, and reserved capacity.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
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 …
Read the whole file at its exact version.
How to install
mdr add alexclowe/awesome-copilot-cowork-plugins/ai-billing-models@sha256:10fd519e64cd2303The line at the top of this page pins the label git:20260717.cfa2a0a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_sgv6wqljh6mz267u)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 17, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2629 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
alexclowe/awesome-copilot-cowork-plugins · 21 stars · license MIT · pushed 2026-10-12 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sgv6wqljh6mz267u GET https://markdownregistry.com/api/v1/resolve?ref=alexclowe/awesome-copilot-cowork-plugins/ai-billing-models GET https://markdownregistry.com/api/v1/blob/10fd519e64cd2303c188a3f9ec2aa14ab1ff9a8ce8ca54c48a95f0841cc69113
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.