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 nospicyplease/amazon-ppc-advanced-skills --skill rocketcart-amazon-ads-live-reviewgit clone --depth 1 https://github.com/nospicyplease/amazon-ppc-advanced-skillsWrote 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/nospicyplease/amazon-ppc-advanced-skills/rocketcart-amazon-ads-live-review)<a href="https://agentmods.dev/skills/nospicyplease/amazon-ppc-advanced-skills/rocketcart-amazon-ads-live-review"><img src="https://agentmods.dev/badge/skills/nospicyplease/amazon-ppc-advanced-skills/rocketcart-amazon-ads-live-review/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/nospicyplease/amazon-ppc-advanced-skills/rocketcart-amazon-ads-live-review"><img src="https://agentmods.dev/badge/skills/nospicyplease/amazon-ppc-advanced-skills/rocketcart-amazon-ads-live-review.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 | $0.00110 | $0.03209 |
| Opus 5 | $0.00055 | $0.01605 |
| Sonnet 5 | $0.00022 | $0.00642 |
| Haiku 4.5 | $0.00011 | $0.00321 |
Grade A, and why
rocketcart-amazon-ads-live-review 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rocketcart Amazon Ads Live Review
Purpose
Initial review is read-only.
Review Amazon Sponsored Products accounts with a read-first, approval-gated operating model. Use static exports when Rocketcart MCP is unavailable. When Rocketcart MCP capabilities are available, use them as the Amazon Ads + product-intelligence connection: inspect live account state, campaign settings, product ads/ASIN mapping, product readiness, category rank/BSR movement, competitor signals, budget changes, live changes since optimization snapshots, and previous snapshots/changelogs before proposing actions.
MCP means Model Context Protocol: a structured way for an assistant to use approved external context and action capabilities. See the repo glossary for definitions of MCP, preflight, readback, action gates, and exact entity IDs.
This skill is the bridge between open-source Amazon PPC reasoning and Rocketcart's live product-aware account layer. It should produce sharper recommendations because it can compare proposed actions against current Ads state, product context, recent-change context, and prior snapshots, but it must not execute writes by default.
Connection Modes
Standalone Mode
Use this mode when the user provides pasted data, CSVs, exports, screenshots, or summaries.
- State that Rocketcart MCP was not used.
- Build the best possible read-only review from provided campaign, search-term, targeting, placement, budget, BSR, retail-readiness, and economics data.
- Lower confidence when live state, current entity IDs, snapshots, or recent changes are unavailable.
- Do not present write actions as executable without live preflight.
Rocketcart MCP Mode
Use this mode when Rocketcart MCP capabilities are available or the user asks for a Rocketcart live review.
- If
profileis missing, use Rocketcart profile discovery first. If there is exactly one profile, use it; if there are multiple plausible profiles, ask the user which one to review. - Inspect SP campaigns with the available live campaign-read capability, preferring enabled campaigns unless the user asks for paused/archived context.
- Inspect product ads and ASIN/SKU mapping with the available product-ad read capability when ASIN context matters.
- Inspect product intelligence, report freshness, and quality where available, including ASIN-level controls, category rank/BSR movement, product-vs-ads context, seasonality, and competitor signals.
- Detect recent budget changes and live changes since the latest optimization snapshot.
- Review targeting, negative, and entity changes when relevant.
- Review optimization snapshots, changelogs, and recent action history.
- When a write action would need live routing context, use that context only for the approval/preflight plan; do not use it as permission to execute.
- Read rocketcart-mcp-capability-map.md when you need Rocketcart capability categories, write surfaces, and preflight/readback expectations.
What ships with it
2 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.
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 · 170 lines · 110 tokens per session scan A d801959a6600
rocketcart-amazon-ads-live-review is a skill published in the GitHub repository nospicyplease/amazon-ppc-advanced-skills (14 stars, last pushed 3mo ago), licensed MIT. It adds 110 tokens to every session and 3,209 once invoked, about $0.0006 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.
Other skills, from other repositories
zach-product-research
A Sorftime-based product research skill for finding Amazon market opportunities and deciding whether a new product is worth pursuing. Sorftime is a market-research data source for Amazon sellers.
zach-seller-skill-creator
A Chinese-language guide for Amazon sellers who want to turn repeated work processes into reusable skills for an AI agent.
zach-listing-health-checker
An Amazon listing health checker that examines a product page as a shopper would see it, including visibility, price, seller, cart, delivery, category, rank, reviews, and search visibility.
zach-search-term-analyzer
An analyzer for Amazon Brand Analytics Top Search Terms reports, which show popular searches across Amazon and how clicks and conversions are distributed among products.
sealeap-amazon-apparel-lifecycle-ads
A playbook for planning advertising on Amazon US for clothing products, using an ASIN lifecycle. An ASIN is Amazon's product identifier; the lifecycle describes whether a product is new, growing, mature, declining, or seasonal.
zach-search-term-report-analyzer
An Amazon Ads search-term report analyzer for Sponsored Products, Sponsored Brands, and Sponsored Display campaigns. It groups related search terms, measures results over 7, 14, and 30 days, and produces reports in several file formats.