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 amzscout-corp/amzscout-skill-mcp --skill amzscout-researchgit clone --depth 1 https://github.com/amzscout-corp/amzscout-skill-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/amzscout-corp/amzscout-skill-mcp/amzscout-research)<a href="https://agentmods.dev/skills/amzscout-corp/amzscout-skill-mcp/amzscout-research"><img src="https://agentmods.dev/badge/skills/amzscout-corp/amzscout-skill-mcp/amzscout-research/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/amzscout-corp/amzscout-skill-mcp/amzscout-research"><img src="https://agentmods.dev/badge/skills/amzscout-corp/amzscout-skill-mcp/amzscout-research.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 | $0.00125 | $0.03141 |
| Opus 5 | $0.00063 | $0.01571 |
| Sonnet 5 | $0.00025 | $0.00628 |
| Haiku 4.5 | $0.00013 | $0.00314 |
Grade A, and why
amzscout-research 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AMZScout research
This skill teaches you to orchestrate the granular AMZScout tools yourself: pick
the right tool(s), chain them into a workflow, and turn the raw data into a
clear seller-facing answer. The tools come from the amzscout MCP server.
If the AMZScout tools are NOT available in this session, say so and stop — do not fabricate Amazon data.
Two ways to use AMZScout
The server exposes both:
amzscout-agent— an all-in-one assistant: pass a natural-language message and AMZScout's backend decides which tools to run and returns a finished answer. Use it for a quick, hands-off result when you don't need to control the steps (or to fall back if you're unsure which granular tool fits).- The granular
amzscout_*tools (below) — the building blocks. Prefer these when you want to control the workflow, chain steps, combine AMZScout with other tools, or show the user your reasoning. This skill is about using these well.
Default to the granular tools for multi-step research; reach for amzscout-agent
for one-shot "just answer it" requests.
Granular tools (MCP)
| Tool | Args | Returns |
|---|---|---|
amzscout_analyze_product |
asin, marketplace?, focus? |
Full audit of ONE product: verdict, demand/trend, pricing, competition, maturity, listing quality, GO/NO-GO. |
amzscout_compare_products |
asins (2–5), marketplace? |
Side-by-side comparison of 2–5 ASINs — which is the stronger opportunity. |
amzscout_compare_niches |
keywords (2–5), marketplace?, count? |
Head-to-head comparison of 2–5 niches/keywords — which niche is the better opportunity. |
amzscout_analyze_product_set |
asins (2–25), focus?, marketplace? |
Market overview across an explicit set of ASINs (you already have the list). |
amzscout_analyze_niche |
keyword, marketplace?, filters?, count? |
Niche/category overview: segments, top products, demand concentration, signals. |
amzscout_search_products |
query, marketplace?, sort?, count?, filters? |
Discovery: a list of products for a keyword (no deep analysis). |
amzscout_find_by_brand |
brand, marketplace?, sort?, count?, filters? |
Products listed under a brand on Amazon. |
amzscout_get_keywords |
asin? OR keyword?, marketplace? |
Keyword / SEO / PPC data — ASIN-scope (terms a product ranks for) or keyword-scope (search data around a niche term). |
amzscout_search_knowledge |
query, topK? |
AMZScout knowledge-base passages (how-to, AMZScout tool/feature info). |
amzscout_recommend_tool |
useCase |
The AMZScout tools & Sellerhook services catalog — for "which AMZScout tool for X". |
amzscout_usage |
— | The user's AMZScout token balance (remaining / used / limit). Free. Use for "how many tokens do I have left", "my usage/balance". |
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 · 154 lines · 125 tokens per session scan A 622626a775d1
amzscout-research is a skill published in the GitHub repository amzscout-corp/amzscout-skill-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 125 tokens to every session and 3,141 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 2026-08-31.
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zach-search-term-analyzer
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zach-search-term-report-analyzer
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