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Amazon Listing Optimizer

Name: Amazon Listing Optimizer
Author: avmw2025

作者 Elway Botty · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

368

总下载

当前安装

版本数

在 OpenClaw 中安装

/install amazon-listing-optimizer

功能描述

Analyze and score any Amazon listing, find keyword opportunities, and spy on competitors for free with no API keys or subscriptions.

使用说明 (SKILL.md)

Amazon Listing Optimizer — Free Listing Analysis & Keyword Research

Free alternative to Helium 10 ($97/mo) and Jungle Scout ($49/mo).

Description

Analyze any Amazon product listing, score its quality, find keyword opportunities, and spy on competitors. No API keys needed. No subscription. Just results.

When to Use

User wants to optimize an Amazon listing
User needs keyword research for Amazon SEO
User wants to analyze competitors in a niche
User asks about Amazon listing quality or conversion optimization
User mentions Helium 10, Jungle Scout, or any Amazon seller tool

Tools

1. Listing Analyzer

Scores any ASIN on Title (30%), Bullets (25%), Images (25%), Reviews (20%). Returns actionable feedback.

cd \x3Cskill_dir>/scripts && python3 analyzer.py B0XXXXXXXXX

2. Keyword Extractor

Uses Amazon's own autocomplete to find long-tail keyword opportunities. Alphabet expansion + depth crawling.

cd \x3Cskill_dir>/scripts && python3 keyword_extractor.py "seasoning blend" com 2

3. Competitor Spy

Search any term, find top ASINs, identify weak competitors to outrank.

cd \x3Cskill_dir>/scripts && python3 competitor_spy.py "garlic seasoning organic"

What It Scores

Title (0-100): Length, keywords, formatting, numbers, separators
Bullets (0-100): Count, length, benefit language, keyword density
Images (0-100): Count vs Amazon's 7+ recommendation
Reviews (0-100): Rating + review count as social proof
Overall (0-100): Weighted composite with letter grade (A+ to F)

No Dependencies

Pure Python 3 (stdlib only)
No pip install needed
No API keys
No browser extension
Works on any machine with Python 3.6+

Comparison

Feature	This Skill	Helium 10	Jungle Scout
Price	FREE	$97-397/mo	$49-399/mo
Listing Score	✅	✅	✅
Keyword Research	✅	✅	✅
Competitor Analysis	✅	✅	✅
API Key Required	❌	✅	✅
Works in Agent	✅	❌	❌

安全使用建议

This skill appears internally coherent and does what it says: it scrapes Amazon pages and the Amazon autocomplete endpoint, analyzes the HTML/JSON, and saves reports locally. Things to consider before installing or running it: 1) scraping Amazon can trigger rate limits, CAPTCHAs, or violate Amazon's terms of service — runs use your machine's IP and may be blocked if used heavily; 2) the scripts save scraped data to reports/ in the skill folder — review these files for any sensitive data you don't want stored locally; 3) the publisher/homepage is unknown, so if you plan to run code on a production machine, inspect the scripts yourself (they are included) and consider running them in an isolated environment (container or VM); 4) although no secrets are requested, network requests to amazon.* domains reveal your IP and timing; if that is a concern, run behind a proxy. Overall the skill is coherent and proportionate for its stated purpose, but review and sandbox before broad use.

功能分析

Type: OpenClaw Skill Name: amazon-listing-optimizer Version: 1.0.0 The Amazon Listing Optimizer skill bundle provides legitimate tools for e-commerce analysis, including listing scoring, keyword extraction, and competitor research. The Python scripts (analyzer.py, competitor_spy.py, and keyword_extractor.py) use standard libraries to scrape public Amazon data and interact with the Amazon autocomplete API. There is no evidence of data exfiltration, malicious code execution, or prompt injection; the logic is transparent and strictly follows the stated purpose of the skill.

能力评估

✓ Purpose & Capability

Name/description match what the skill does: included Python scripts fetch Amazon pages and autocomplete suggestions, parse listing data, score components, extract keywords, and write local reports. No unrelated credentials, binaries, or install steps are requested.

✓ Instruction Scope

SKILL.md instructs the agent to run the included Python scripts. The scripts only perform HTTP(S) requests to Amazon domains, parse HTML/JSON, print output, and save JSON reports under the skill's reports/ directory. There are no instructions to read unrelated system files, access environment secrets, or send data to third-party endpoints outside of amazon.* domains.

✓ Install Mechanism

No install spec is provided and the code is pure-stdlib Python; nothing is downloaded or written during install. This is low-risk from an installation standpoint.

✓ Credentials

The skill declares no required environment variables, credentials, or config paths, and the scripts do not attempt to read hidden env vars. Network access to Amazon endpoints is necessary for the claimed functionality and is proportionate.

ℹ Persistence & Privilege

The skill does write reports to a local reports/ directory (creates files under the skill path) but does not request permanent platform-level privileges or modify other skills. always is false and autonomous invocation is permitted by default (normal for skills).

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install amazon-listing-optimizer
安装完成后，直接呼叫该 Skill 的名称或使用 /amazon-listing-optimizer 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Amazon Listing Optimizer 1.0.0 — Initial release - Analyze and score any Amazon product listing for Title, Bullets, Images, and Reviews. - Discover keyword opportunities using Amazon autocomplete with advanced crawling. - Identify and analyze top competitors for any search term. - 100% free: no API keys, subscriptions, or third-party dependencies required. - Pure Python (standard library only); runs on any system with Python 3.6+.

元数据

Slug amazon-listing-optimizer

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题