ai-cost-finops SKILL.md skillA

ai-cost-finops from muvon/octomind-tap is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add muvon/octomind-tap/ai-cost-finops@git:20261013.a69e0bb

Pins git:20261013.a69e0bb in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
muvon/octomind-tap
Path
skills/ai-cost-finops/SKILL.md
Versions recorded
3
Latest version
git:20261013.a69e0bb, committed Oct 13, 2026
First version recorded
May 21, 2026
Size
13,683 bytes
Repository stars
5
License
Apache-2.0

Operational playbook for cutting LLM application cost in 2026. Covers the current price book (Anthropic Claude Fable/Opus/Sonnet/Haiku, OpenAI GPT-6 Astra/Sol/Luna, Google Gemini Pro/Flash/Flash-Lite), prompt caching mechanics (Anthropic write/read multipliers and TTLs, OpenAI and Gemini automatic caching), Batch and Flex tiers (50% off), effort and reasoning-depth controls, model routing vs effort tuning, output-length discipline, the RAG cost stack (embeddings, rerank, vector DBs), and…

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

## Overview

LLM cost is an engineering surface, not a line on the card statement. The levers that move it most in 2026, in order: prompt caching (cache reads cost a tenth of input or less), Batch/Flex tiers (50% off), effort or reasoning-depth tuning, then model routing. This skill holds the dated price book, the discount mechanics, and the optimization order with primary-source citations.

Use it when projecting cost for a new feature, hunting waste in an existing pipeline, picking a model or effort level, or setting up per-feature attribution. Skip it for prototypes spending under ~$100/month.

## Mental model

Every call costs `uncached_input × $in + cache_writes × $write + cache_reads × $read + output × $out` (thinking tokens bill as output), plus retrieval, rerank, and storage for RAG. Judge cost per completed task, not per request: a cheaper call that needs more turns or retries is not cheaper.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add muvon/octomind-tap/ai-cost-finops@sha256:e202f9a7fc2d6e78

The line at the top of this page pins the label git:20261013.a69e0bb, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_edsq2ox7dtwzcnob.svg)](https://markdownregistry.com/a/art_edsq2ox7dtwzcnob)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between May 21, 2026 and Oct 13, 2026, about one every 72 days.

versioncommittedcommitsizeaudit
git:20261013.a69e0bb latest2026-10-13 a69e0bb 13,683 BA view · diff
git:20260918.40e721d2026-09-18 40e721d 15,444 BA view · diff
git:20260521.845154d2026-05-21 845154d 15,447 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13683 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

GitHub

muvon/octomind-tap · 5 stars · license Apache-2.0 · pushed 2026-10-31 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_edsq2ox7dtwzcnob
GET https://markdownregistry.com/api/v1/resolve?ref=muvon/octomind-tap/ai-cost-finops
GET https://markdownregistry.com/api/v1/blob/e202f9a7fc2d6e786c562097ae0ce8632e53210382a3d436295f63775ff299eb

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.

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