amazon-ads-attribution-and-metrics-audit SKILL.md skillB

amazon-ads-attribution-and-metrics-audit from coupler-io/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add coupler-io/skills/amazon-ads-attribution-and-metrics-audit@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
coupler-io/skills
Path
marketing-and-ads/amazon-ads/amazon-ads-attribution-and-metrics-audit/SKILL.md
Versions recorded
8
Latest version
v1.0.0, committed Oct 21, 2026
First version recorded
Sep 30, 2026
Size
13,869 bytes
Repository stars
40
License
MIT

Use for "can I trust my Amazon ACOS", "why don't my Amazon Ads sales match Seller Central", "which attribution window does Amazon use", "are my Amazon ad sales including halo", "why is my Amazon Sponsored Display ROAS so high", "are my Amazon numbers comparable across ad products", or "my Amazon sales keep changing" — and whenever someone doubts their Amazon Ads numbers, even without the word "audit". Run before trusting any ACOS or ROAS comparison. Amazon Ads only.

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

# Amazon Ads Attribution and Metrics Audit

Checks whether your Amazon Ads sales and ACOS can be trusted and compared before you use them to move budget. Amazon Ads Attribution and Metrics Audit is a Coupler.io AI agent skill that works with live data from Amazon Ads and Amazon Ads (Unified).

**Tells you whether the Amazon Ads sales and ACOS figures can be compared and trusted before anyone
moves money on them — which window, which sales, which currency — and where two numbers that look
alike aren't.**

Amazon doesn't have a tracking tag to break, so its numbers look solid. The problems are
definitional. Sponsored Products and Sponsored Brands can report on different attribution windows,
so their ACOS figures aren't comparable. Some sales columns count only the product advertised;
others add halo sales from the rest of the brand; Display and DSP add sales credited to people who
only saw the ad. Two marketplaces can sit in one dataset in two currencies. And recent days keep
filling in. Every one of these produces a clean-looking number that's wrong to compare.

**What you get back**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add coupler-io/skills/amazon-ads-attribution-and-metrics-audit@sha256:1c6171b40da1148c

The line at the top of this page pins the label v1.0.0, 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_547hfrecpfbw7su5.svg)](https://markdownregistry.com/a/art_547hfrecpfbw7su5)

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

Versions

The registry has recorded 8 versions of this file, between Sep 30, 2026 and Oct 21, 2026, about one every 3 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-21 e36545f 13,869 BB view · diff
v1.0.02026-10-13 ee6a3a9 13,618 BB view · diff
v1.0.02026-10-12 3a5f5c7 13,612 BB view · diff
v1.0.02026-09-30 a9cfdc6 13,592 BB view · diff
v1.0.02026-09-30 109e9cf 13,464 BB view · diff
v1.0.02026-09-30 d8e9ed6 13,129 BB view · diff
v1.0.02026-09-30 94d88d4 13,094 BB view · diff
v1.0.02026-09-30 6f07e3d 12,475 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No prompt-injection phrasing (matched: ignore previous instructions)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13869 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 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

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

coupler-io/skills · 40 stars · license MIT · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_547hfrecpfbw7su5
GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/amazon-ads-attribution-and-metrics-audit
GET https://markdownregistry.com/api/v1/blob/1c6171b40da1148c0f3dfad1fcbd657c0f609065876e9258e4c5aa5d8563cec9

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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