integration-cost-modeling

integration-cost-modeling is a skill for Claude Code from Kaguara/emerging-market-skills. It costs 105 tokens per session (2,321 once invoked), scanned A, original, MIT.

A guide for estimating the cost of paid services and delivery methods used by an app. It covers services such as text messages, identity checks, maps, mobile-money payments, AI requests, and data transfer.

In plain words
What is it for?
Use it to compare delivery channels, calculate the cost of user actions, limit paid messages, reuse external lookups, and control AI or data-transfer spending.
Why use it?
It makes costs visible during design and code review, before unexpectedly large bills appear after launch. It also considers the data charges paid by users on prepaid connections.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the emerging-market-skills plugin — 7 skills shipped together

Good fit Use it to compare delivery channels, calculate the cost of user actions, limit paid messages, reuse external lookups, and control AI or data-transfer spending.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kaguara/emerging-market-skills/integration-cost-modeling
Install

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.

Any agent
npx skills add Kaguara/emerging-market-skills --skill integration-cost-modeling
Clone the repo
git clone --depth 1 https://github.com/Kaguara/emerging-market-skills

Made for: Claude Code.

Or install emerging-market-skills, the plugin that ships this one along with the rest of its 7 skills.

Wrote 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.

agentmods badge for integration-cost-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/kaguara/emerging-market-skills/integration-cost-modeling/github.svg)](https://agentmods.dev/skills/kaguara/emerging-market-skills/integration-cost-modeling)
Your own site
<a href="https://agentmods.dev/skills/kaguara/emerging-market-skills/integration-cost-modeling"><img src="https://agentmods.dev/badge/skills/kaguara/emerging-market-skills/integration-cost-modeling/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.

agentmods 80×15 button for integration-cost-modeling

Your own site · 80×15
<a href="https://agentmods.dev/skills/kaguara/emerging-market-skills/integration-cost-modeling"><img src="https://agentmods.dev/badge/skills/kaguara/emerging-market-skills/integration-cost-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,321 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.02321
Opus 5 $0.00053 $0.01161
Sonnet 5 $0.00021 $0.00464
Haiku 4.5 $0.00011 $0.00232

Measured 12d ago against content hash cd4a58cb6daf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

integration-cost-modeling 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/audit_costs.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/integration-cost-modeling/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Integration cost modeling

The constraint

Two meters are running. Yours: per SMS, per verification, per API call, per thousand tokens, per gigabyte of egress. Theirs: a prepaid data bundle bought in small increments, from which every byte you send is deducted.

Both meters are invisible in code review, and neither appears in a design mock. The result is a well-built feature that costs more per user than it can possibly be worth, discovered a month after launch by someone reading an invoice. In markets where per-message and per-call prices vary several-fold between countries, cost is not a finance concern downstream of the build — it is a design input that determines the architecture.

Hard rules

ID Rule Severity
COST-001 Every user-facing action has a stated marginal cost before it is built. critical
COST-002 Choose the delivery channel by cost per delivered outcome, not by convenience. critical
COST-003 Rate-limit and de-duplicate every paid outbound message. warning
COST-004 Cap AI and inference spend per session with a hard ceiling and a fallback. warning
COST-005 Never spend the user's data allowance on telemetry or prefetch you chose. warning
COST-006 Cache and batch third-party calls against a known per-call price. warning
COST-007 Decide fail-open or fail-closed for every paid dependency, in writing. warning
COST-008 Serve from a region near the user and count egress. warning
COST-009 Re-check unit costs against real usage within a month of launch. warning
COST-010 Find out whether the operator will zero-rate your traffic before you spend a quarter optimising bytes. warning

Full detection criteria and remedies in rules.yml.

Judgment

Cost per delivered outcome, not cost per send. A push notification costs essentially nothing and reaches a user who has an active data session, which at tier C is often not the case for hours at a time. An SMS costs real money and arrives. Comparing them on unit price is comparing a free thing that does not happen against a paid thing that does. Work out the delivered rate for each channel in each market, then decide per message class: high-intent and time-critical earns SMS, everything else does not.

Read the full file on GitHub · 222 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 12d ago First seen · 222 lines · 105 tokens per session scan A cd4a58cb6daf

Subscribe to this mod's changes

integration-cost-modeling is a skill published in the GitHub repository Kaguara/emerging-market-skills (7 stars, last pushed 17d ago), licensed MIT. It adds 105 tokens to every session and 2,321 once invoked, about $0.0005 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 2026-08-31.

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