llm-cost-latency-budget SKILL.md skillA

llm-cost-latency-budget from mohitagw15856/pm-claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add mohitagw15856/pm-claude-skills/llm-cost-latency-budget@git:20261006.b9ea321

Pins git:20261006.b9ea321 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
mohitagw15856/pm-claude-skills
Path
plugins/pm-agentops/skills/llm-cost-latency-budget/SKILL.md
Versions recorded
2
Latest version
git:20261006.b9ea321, committed Oct 6, 2026
First version recorded
Jul 1, 2026
Size
3,978 bytes
Repository stars
1,475
License
MIT

Model the cost and latency of an LLM feature before it ships and surprises the bill. Use when asked to estimate LLM API costs, set a latency/token budget, decide which model tier to use, or bring down the cost of an AI feature. Produces a cost & latency budget — token math per request, monthly cost projection, model tiering, caching/streaming levers, p95 latency targets, and a guardrail/alert plan.

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

# LLM Cost & Latency Budget Skill

LLM features have a unit cost and a tail latency that demos hide and production exposes. This skill does
the token math up front — what one request costs, what a million cost, where the p95 latency comes from —
and lays out the levers (model tiering, caching, prompt trimming) so cost and speed are designed, not discovered.

## Required Inputs

Ask for these only if they aren't already provided:

- **The request shape** — typical system prompt, user input, retrieved context, and output sizes (in rough tokens).
- **Volume** — requests/day now and at target scale; peak concurrency.
- **Models in play** — candidate model(s) and their per-token input/output prices.
- **Targets** — acceptable cost per request (or per user/month) and the latency users will tolerate (p50 / p95).

## Output Format

### Cost & Latency Budget: [feature]

**1. Per-request token math** — a table estimating tokens in/out per call, and the resulting cost at each candidate model's price.

| Component | Tokens | $ in | $ out |
|---|---|---|---|
| System prompt | | | |
| Retrieved context | | | |
| User input | | | |
| Output | | | |
| **Per request** | | **$x** | |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add mohitagw15856/pm-claude-skills/llm-cost-latency-budget@sha256:9675c3498c557a63

The line at the top of this page pins the label git:20261006.b9ea321, 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_z5d53vrzfup2jvnd.svg)](https://markdownregistry.com/a/art_z5d53vrzfup2jvnd)

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

Versions

The registry has recorded 2 versions of this file, between Jul 1, 2026 and Oct 6, 2026, about one every 96 days.

versioncommittedcommitsizeaudit
git:20261006.b9ea321 latest2026-10-06 b9ea321 3,978 BA view · diff
git:20260701.241d7732026-07-01 241d773 3,811 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 (3978 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

mohitagw15856/pm-claude-skills · 1,475 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_z5d53vrzfup2jvnd
GET https://markdownregistry.com/api/v1/resolve?ref=mohitagw15856/pm-claude-skills/llm-cost-latency-budget
GET https://markdownregistry.com/api/v1/blob/9675c3498c557a6322d5d1fe1d9b394eb99231d9fa95801af7430f72ad06ef81

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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