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 squadcodercom/squadcoder --skill amazon-adsgit clone --depth 1 https://github.com/squadcodercom/squadcoderWrote 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/squadcodercom/squadcoder/amazon-ads)<a href="https://agentmods.dev/skills/squadcodercom/squadcoder/amazon-ads"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/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/squadcodercom/squadcoder/amazon-ads"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/amazon-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00199 | $0.04292 |
| Opus 5.5 | $0.00080 | $0.01717 |
| Sonnet 5.5 | $0.00040 | $0.00858 |
| Haiku 4.5 | $0.00020 | $0.00429 |
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.
How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Ads — Pro Playbook
A practitioner's guide to running Amazon Advertising (Sponsored Products, Sponsored Brands, Sponsored Display, and DSP) for sellers and vendors. The mental model throughout: paid ads buy sales velocity → velocity lifts organic rank → organic rank lowers your blended cost of selling. Optimize the system, not the line item.
Authored fresh for SquadCoder. Terminology current to the Amazon Ads console / Amazon Ads API v3.
1. The three (four) ad products — when to use each
| Product | Inventory | Billing | Primary job |
|---|---|---|---|
| Sponsored Products (SP) | Search results + product detail pages | CPC | Workhorse. Drives 70–80% of most accounts' ad sales. Capture high-intent shoppers. |
| Sponsored Brands (SB) | Top-of-search banner, brand video, Store spotlight | CPC | Brand awareness + defend branded search. Requires Brand Registry. |
| Sponsored Display (SD) | On/off-Amazon, detail pages, audiences | CPC or vCPM | Retargeting, competitor-ASIN conquesting, audience prospecting. Requires Brand Registry. |
| Amazon DSP | Programmatic display/video/audio on & off Amazon | CPM | Full-funnel audience buying, awareness, advanced retargeting. Self-serve or managed; usually higher min spend. |
Start with SP. Add SB once you have a Store + 3+ ASINs. Add SD for retargeting + competitor defense. Graduate to DSP when you need reach/awareness or have a steady budget (often a managed minimum).
2. Account & campaign structure
Keep it simple, granular, and reportable. The dominant pattern:
Single Keyword / Single Product-group Ad Groups (SKAG-lite). One tight theme per ad group so bids and search-term reports are interpretable.
A clean SP architecture per product (or product family):
- Auto campaign (discovery). One ad group, all 4 targeting groups on (close match, loose match, complements, substitutes). Job: mine search terms. Low-to-moderate bid.
- Manual Broad/Phrase campaign (research). Harvested terms in broad + phrase. Job: keep finding variants.
- Manual Exact campaign (performance). Proven converters in exact match. Job: efficiency + scale. Highest bids live here.
- Product Targeting / ASIN campaign. Target competitor ASINs, your own (defense), and categories.
- Branded campaign. Your own brand terms — cheap, high CR, defends against conquesting. Keep separate so branded sales don't flatter non-brand ACoS.
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.
- 1mo ago First seen · 241 lines · 199 tokens per session scan A 08cb23e95a58
amazon-ads is a skill published in the GitHub repository squadcodercom/squadcoder (12 stars, last pushed 3mo ago), licensed MIT. It adds 199 tokens to every session and 4,292 once invoked, about $0.0008 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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