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.
npx skills add amekala/ads-mcp --skill adspirer-amazon-adsgit clone --depth 1 https://github.com/amekala/ads-mcpWrote 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.
[](https://agentmods.dev/skills/amekala/ads-mcp/adspirer-amazon-ads)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.00644 |
| Opus 5 | $0.00029 | $0.00322 |
| Sonnet 5 | $0.00012 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00064 |
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 12d 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.
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.
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.
- 12d ago First seen · 59 lines · 58 tokens per session scan A 0e6d729972cd
adspirer-amazon-ads is a skill published in the GitHub repository amekala/ads-mcp (89 stars, last pushed 4d ago), licensed MIT. It adds 58 tokens to every session and 644 once invoked, about $0.0003 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 2026-08-30.
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Run a daily health check on all configured ad accounts (Google Ads, Meta Ads, Amazon Ads, TikTok Ads, Search Console, GA4, and any configured plugin platform). Use when the user asks for a daily review, health check, status update, anomaly detection, or 'how are my campaigns doing today'. Reads STRATEGY.md and…
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