agentmods.dev

amazon-analyse

amazon-analyse is a skill for Claude Code, Codex from liangdabiao/amazon-sorftime-research-MCP-skill. It costs 64 tokens per session (4,607 once invoked), scanned A, original, no licence file.

An Amazon competitor-listing analysis tool that examines product copy, customer reviews, keywords, and market changes for an item identified by ASIN. A listing is the product page shown to shoppers on Amazon.

In plain words
What is it for?
Use it with an Amazon ASIN to study a competitor’s product page and save the findings as a Markdown report in the reports/ folder.
Why use it?
It gathers several parts of competitor analysis into one report instead of making you inspect them separately.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 1.1krepo +29 9d ago A scan 64 tokens no licence

Good fit Use it with an Amazon ASIN to study a competitor’s product page and save the findings as a Markdown report in the reports/ folder.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liangdabiao/amazon-sorftime-research-mcp-skill/amazon-analyse
View source ↗ liangdabiao/amazon-sorftime-research-MCP-skill agents.liangdabiao.com
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 liangdabiao/amazon-sorftime-research-MCP-skill --skill amazon-analyse
Clone the repo
git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill

Made for: Claude Code, Codex.

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 amazon-analyse

README.md
[![agentmods](https://agentmods.dev/badge/skills/liangdabiao/amazon-sorftime-research-mcp-skill/amazon-analyse/github.svg)](https://agentmods.dev/skills/liangdabiao/amazon-sorftime-research-mcp-skill/amazon-analyse)
Your own site
<a href="https://agentmods.dev/skills/liangdabiao/amazon-sorftime-research-mcp-skill/amazon-analyse"><img src="https://agentmods.dev/badge/skills/liangdabiao/amazon-sorftime-research-mcp-skill/amazon-analyse/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 amazon-analyse

Your own site · 80×15
<a href="https://agentmods.dev/skills/liangdabiao/amazon-sorftime-research-mcp-skill/amazon-analyse"><img src="https://agentmods.dev/badge/skills/liangdabiao/amazon-sorftime-research-mcp-skill/amazon-analyse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,607 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00064 $0.04607
Opus 5.5 $0.00026 $0.01843
Sonnet 5.5 $0.00013 $0.00921
Haiku 4.5 $0.00006 $0.00461

Measured 2mo ago against content hash 79d008e8de7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amazon-analyse scanned grade A with 1 finding 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 2mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY" \
SKILLS/skills/amazon-analyse/SKILL.md · 469 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

5 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.

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. 2mo ago First seen · 469 lines · 64 tokens per session scan A 79d008e8de7b

Subscribe to this mod's changes

amazon-analyse is a skill published in the GitHub repository liangdabiao/amazon-sorftime-research-MCP-skill (1,081 stars, last pushed 9d ago), with no licence file. It adds 64 tokens to every session and 4,607 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

E-commerceMarketing and SEOagent
Related

amazon-analyse compared with skills from other repositories

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