amazon-ads

amazon-ads is a skill for Claude Code from hyperfx-ai/marketing-skills. It costs 87 tokens per session (1,454 once invoked), scanned A, original, MIT.

A workflow for planning and creating Amazon Sponsored Products campaigns, which are paid ads for products shown in Amazon search and shopping areas. It covers product ads, keyword and product targeting, bids, budgets, conversion measures, and campaign results.

In plain words
What is it for?
Use it to find advertising profiles, check account health, create and update campaigns, set up ad groups and product ads, manage positive and negative keywords, and review ACoS or ROAS.
Why use it?
It helps organize the many settings needed to advertise products on Amazon and reduces targeting or bidding mistakes. It also supports checking products before creating campaigns.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the hyper-marketing plugin — 30 skills, 1 MCP server shipped together

Good fit Use it to find advertising profiles, check account health, create and update campaigns, set up ad groups and product ads, manage positive and negative keywords, and review ACoS or ROAS.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hyperfx-ai/marketing-skills/amazon-ads
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 hyperfx-ai/marketing-skills --skill amazon-ads
Clone the repo
git clone --depth 1 https://github.com/hyperfx-ai/marketing-skills

Made for: Claude Code.

Or install hyper-marketing, the plugin that ships this one along with the rest of its 30 skills, 1 MCP server.

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 amazon-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/amazon-ads/github.svg)](https://agentmods.dev/skills/hyperfx-ai/marketing-skills/amazon-ads)
Your own site
<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/amazon-ads"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/amazon-ads/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 amazon-ads

Your own site · 80×15
<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/amazon-ads"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/amazon-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,454 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00087 $0.01454
Opus 5.5 $0.00035 $0.00582
Sonnet 5.5 $0.00017 $0.00291
Haiku 4.5 $0.00009 $0.00145

Measured 1mo ago against content hash 593fd6413c8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amazon-ads 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 1mo 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.

skills/amazon-ads/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Ads

Strategic guide for managing Amazon Ads Sponsored Products campaigns. Research first, validate products, optimize for ACoS targets.

Requirements

If search("amazon_ads_profiles_list") does not find amazon_ads_profiles_list, stop and tell the user to enable Hyper MCP and connect Amazon Ads.

How to run the tools in this skill

Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:

Surface Find a tool Run it
MCP client (Claude, Cursor, Codex, ChatGPT) search("<what you want to do>"), then describe("<name>") call("<name>", {...})
Hyper CLI hyperai search "<what you want to do>", then hyperai describe <name> hyperai call <name> --json '{...}'

If a tool is not found, its integration is not connected or not enabled for the workspace: stop and tell the user which integration to connect.

Out of scope — defer to other skills

  • Creative generation (product imagery, copy) → ad-creative-generation / image-generation.
  • Cross-platform campaign launches → use this skill for Amazon, then invoke meta-ads / google-ads separately.

Tool surface

Tool Purpose
amazon_ads_profiles_list, amazon_ads_health_check Profile discovery + integration health.
amazon_ads_campaigns_list, amazon_ads_campaigns_create, amazon_ads_campaigns_update Campaign lifecycle.
amazon_ads_ad_groups_create, amazon_ads_product_ads_create Ad group + product ad creation.
amazon_ads_keywords_create, amazon_ads_negative_keywords_create, amazon_ads_campaign_negative_keywords_create Keyword targeting.
amazon_ads_product_targets_create, amazon_ads_negative_product_targets_create Product (ASIN/category) targeting.
amazon_ads_budget_rules_create, amazon_ads_budget_rules_list Budget automation.
amazon_ads_reports_create, amazon_ads_reports_status_get Performance reporting.
amazon_ads_bid_recommendations_get Theme-based bid recommendations.

Read the full file on GitHub · 115 lines

Files

What ships with it

4 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. 1mo ago Changed · +11 lines 593fd6413c8a
  2. 1mo ago First seen · 104 lines · 87 tokens per session scan A ae11147cf718

Subscribe to this mod's changes

amazon-ads is a skill published in the GitHub repository hyperfx-ai/marketing-skills (108 stars, last pushed 2d ago), licensed MIT. It adds 87 tokens to every session and 1,454 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.

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