adspirer-amazon-ads

adspirer-amazon-ads is a skill for Claude Code from amekala/ads-mcp. It costs 58 tokens per session (644 once invoked), scanned A, original, MIT.

An Amazon advertising tool for Sponsored Products, Sponsored Brands, and Sponsored Display campaigns. Amazon Ads are paid promotions that can appear in search results or target shoppers on and off Amazon.

In plain words
What is it for?
Use it to advertise individual products, promote several products with a registered brand, retarget shoppers, review search terms, track ACoS, and adjust bids.
Why use it?
It brings campaign, product, keyword, search-term, budget, and bidding tasks into one workflow and creates campaigns paused for review.

Skill for Claude Code

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

Part of the adspirer-advertising-agent plugin — 29 skills, 5 commands, 1 agent, 2 MCP servers shipped together

Good fit Use it to advertise individual products, promote several products with a registered brand, retarget shoppers, review search terms, track ACoS, and adjust bids.

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

Made for: Claude Code.

Or install adspirer-advertising-agent, the plugin that ships this one along with the rest of its 29 skills, 5 commands, 1 agent, 2 MCP servers.

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 adspirer-amazon-ads

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-amazon-ads"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-amazon-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 644 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 $0.00058 $0.00644
Opus 5.5 $0.00023 $0.00258
Sonnet 5.5 $0.00012 $0.00129
Haiku 4.5 $0.00006 $0.00064

Measured 1mo ago against content hash 0e6d729972cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

adspirer-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.

plugins/chatgpt/adspirer/skills/adspirer-amazon-ads/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Ads

Everything on Amazon goes through the amazon_ads router. Follow adspirer-mcp for the two-step.

Account parameter: profile_id, as a string — a profile is a marketplace + account pair, so a seller in the US and the UK has two. list_amazon_profiles enumerates them; get this right before anything else or you will report the wrong marketplace's numbers.

Budgets are in the account's currency, minimum 1.00 in most marketplaces.

The three ad types

  • Sponsored Products (create_amazon_sp_campaign) — individual products in search results. Where almost everyone should start.
  • Sponsored Brands (create_amazon_sb_campaign) — the banner with your logo and several products. Requires brand registry.
  • Sponsored Display (create_amazon_sd_campaign) — retargeting on and off Amazon.

Hierarchy

Campaign → ad group → product ad → keywords. Each level carries its parent's id. Keywords and negative keywords attach to the ad group.

Campaigns are created paused. Resume with resume_amazon_campaigns after the user reviews.

Start with automatic targeting

For a new product, automatic targeting lets Amazon discover which search terms convert. Run it for a couple of weeks, pull get_amazon_search_terms, then promote the winners into a manual campaign as exact-match keywords and add the losers as negatives. Jumping straight to manual targeting means guessing what shoppers type.

ACoS is the number that matters

Advertising Cost of Sale — ad spend divided by ad revenue. It is the inverse of ROAS. Whether a given ACoS is good depends entirely on the product's margin: at a 40% margin, a 40% ACoS breaks even. Ask for the margin before you call an ACoS good or bad.

analyze_amazon_wasted_spend finds spend without sales. get_amazon_product_performance and get_amazon_purchased_products show what actually sold — including products the shopper bought instead of the one you advertised, which is often the more interesting result.

Read the full file on GitHub · 59 lines

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 First seen · 59 lines · 58 tokens per session scan A 0e6d729972cd

Subscribe to this mod's changes

adspirer-amazon-ads is a skill published in the GitHub repository amekala/ads-mcp (105 stars, last pushed 8d ago), licensed MIT. It adds 58 tokens to every session and 644 once invoked, about $0.0002 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.