mmm-attribution

mmm-attribution is a skill for Claude Code from Yakoub-ai/agent-mmm. It costs 81 tokens per session (2,620 once invoked), scanned A, original, no licence file.

A skill for analysing marketing mix models, which estimate how different marketing channels affect a result such as sales. It turns the model into channel contributions, return metrics, marginal returns, and response curves.

In plain words
What is it for?
Use it to decompose a target, estimate ROAS and CPA, measure marginal returns, inspect saturation, compare channels, and diagnose questionable attribution.
Why use it?
It helps explain where results came from, compare channel efficiency, account for uncertainty, and spot attribution results that do not make sense.

Skill for Claude Code

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

Part of the agent-mmm plugin — 28 skills, 19 commands, 8 agents shipped together

Good fit Use it to decompose a target, estimate ROAS and CPA, measure marginal returns, inspect saturation, compare channels, and diagnose questionable attribution.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yakoub-ai/agent-mmm/mmm-attribution
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 Yakoub-ai/agent-mmm --skill mmm-attribution
Clone the repo
git clone --depth 1 https://github.com/Yakoub-ai/agent-mmm

Made for: Claude Code.

Or install agent-mmm, the plugin that ships this one along with the rest of its 28 skills, 19 commands, 8 agents.

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 mmm-attribution

README.md
[![agentmods](https://agentmods.dev/badge/skills/yakoub-ai/agent-mmm/mmm-attribution/github.svg)](https://agentmods.dev/skills/yakoub-ai/agent-mmm/mmm-attribution)
Your own site
<a href="https://agentmods.dev/skills/yakoub-ai/agent-mmm/mmm-attribution"><img src="https://agentmods.dev/badge/skills/yakoub-ai/agent-mmm/mmm-attribution/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 mmm-attribution

Your own site · 80×15
<a href="https://agentmods.dev/skills/yakoub-ai/agent-mmm/mmm-attribution"><img src="https://agentmods.dev/badge/skills/yakoub-ai/agent-mmm/mmm-attribution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,620 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 unknown 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 $0.00081 $0.02620
Opus 5 $0.00041 $0.01310
Sonnet 5 $0.00016 $0.00524
Haiku 4.5 $0.00008 $0.00262

Measured 10d ago against content hash 4964f37a0818, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

mmm-attribution 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 10d ago.

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.

plugins/agent-mmm/skills/mmm-attribution/SKILL.md · 267 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 10d ago First seen · 267 lines · 81 tokens per session scan A 4964f37a0818

Subscribe to this mod's changes

mmm-attribution is a skill published in the GitHub repository Yakoub-ai/agent-mmm (4 stars, last pushed 6d ago), with no licence file. It adds 81 tokens to every session and 2,620 once invoked, about $0.0004 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.