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by Agrici.Danielagricidaniel/claude-ads9.7k stars
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Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

Use this Skill: https://skilld.dev/gh/agricidaniel/claude-ads/ads

This session only. Nothing lands on disk.

referencesamazon-audit.md

≈885 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Amazon Ads control reference

Retrieved: 2026-07-11. Refresh official product, API, policy, and availability sources before using this reference after its control-plane refresh date.

Category model

This reference does not define an executable scoring profile. Bind a versioned profile whose categories cover the applicable controls and whose weights total 100; otherwise produce findings without a health score. The deterministic engine applies weights only after scoring applicable controls within each category.

Runtime evaluation contract

  • Treat each row as an applicability-first evidence question. Missing evidence is unknown; unavailable or ineligible surfaces are not_applicable.
  • Verify marketplace, region, seller/vendor relationship, ad product, API access, attribution, reporting grain, and retail ownership before evaluation.
  • The registered source below grounds API availability only. Current product, policy, metric, attribution, catalog, and format claims require additional dated official source IDs or account evidence.
  • This reference is advisory and export-read only. It does not provide a live Amazon API reader or mutation adapter.

Controls

ID Category Evidence question
AMZ-M01 Measurement Profile, marketplace, region, currency, timezone, and attribution window are explicit.
AMZ-M02 Measurement Orders, sales, ACOS, ROAS, TACOS, new-to-brand, and retail metrics are not conflated.
AMZ-M03 Measurement Async report lifecycle, status, download, pagination, and missing rows are validated.
AMZ-M04 Measurement Amazon Ads attribution is reconciled with Seller/Vendor and business-level outcomes.
AMZ-S01 Structure Portfolios, campaign types, targeting, and naming reflect product and objective ownership.
AMZ-S02 Structure Sponsored Products, Brands, Display, DSP, and video roles are separately evaluated.
AMZ-T01 Targeting Automatic, keyword, product, audience, and defensive targeting have explicit purposes.
AMZ-T02 Targeting Search-term harvesting and negatives are based on sufficient query and conversion evidence.
AMZ-R01 Retail Buy Box, inventory, price, reviews, detail-page quality, and suppression risks are checked.
AMZ-R02 Retail Catalog and variation relationships support the advertised ASINs and landing experience.
AMZ-C01 Creative Sponsored Brands, video, display, and Store assets match format and product promise.
AMZ-C02 Creative Materially different value propositions and formats are available for testing.
AMZ-B01 Budget Budget, bid, placement adjustments, and pacing reflect margin, stock, objective, and evidence.
AMZ-B02 Budget Automation changes respect profile/region scope, learning impact, and account ceilings.
AMZ-P01 Policy Product eligibility, claims, creative, audience, and marketplace policy constraints are checked.
AMZ-E01 Experiment Tests isolate one lever and account for retail, organic, price, and inventory changes.

Use pass, fail, unknown, or not_applicable. Unknown controls reduce coverage. Optional, beta, premium, unavailable, immutable, or ineligible features are unscored opportunities.

Registered official evidence

Official sources override this summary when they change. Unsupported controls stay unknown; vendor case studies remain labeled and contextual.

Source: SKILL.md on GitHub

1 alert16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill provides a set of markdown-based reference documents, policies, and guidelines for managing multi-platform paid advertising campaigns. No source code, executables, external scripts, or malicious injection attempts were detected in any of the audited files.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer6mo

    9/19 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at c046344. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 weeks ago.

Activeupdated 3 weeks ago

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