スキル pangolinfo-amazon-scraper

📦

pangolinfo-amazon-scraper

Name: pangolinfo-amazon-scraper
Author: pangolin-spg

コンテンツリビジョン r1 安全 🌐 ネットワークアクセス📁 ファイルシステムへのアクセス🔑 環境変数⚙️ 外部コマンド

Scrape Amazon Data with Pangolinfo

Manual Amazon research is slow and difficult to standardize across products, sellers, and search results. This skill retrieves structured marketplace data through Pangolinfo parsers for repeatable analysis workflows.

対応: Claude Codex Code(CC)

🥉 79 ブロンズ

Maintain this Skill? Claim it 🥉 79 ブロンズ

自分のエージェントでインストール

このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。

エージェントリクエスト

Review the Skillstore skill "pangolinfo-amazon-scraper" from https://skillstore.io/skills/pangolin-spg-pangolinfo-amazon-scraper.md and its manifest at https://skillstore.io/api/skills/pangolin-spg-pangolinfo-amazon-scraper/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。

エージェントが読めるリソース

AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。

Markdown詳細 GET /skills/pangolin-spg-pangolinfo-amazon-scraper.md 署名済み manifest GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/manifest 署名済み lockfile GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/lockfile

テストする

「pangolinfo-amazon-scraper」を使用しています。 Product URL for a wireless mouse with the product detail parser.

期待される結果:

A structured product summary containing the ASIN, title, brand, price, rating, review count, availability, seller, features, and product URL.

「pangolinfo-amazon-scraper」を使用しています。 Keyword search for noise cancelling headphones.

期待される結果:

A ranked list of matching products with titles, prices, ratings, review counts, and delivery details.
A result count and source URL for the Amazon search.

「pangolinfo-amazon-scraper」を使用しています。 Best sellers request for the home office category.

期待される結果:

A ranking summary with product names, ASINs, rank positions, prices, ratings, and image links when returned by the API.

セキュリティ監査

安全

v1 • 2026/9/30 バージョン別レポートを開く

The static findings mostly match expected scraper behavior, including documented endpoints, HTTP requests, and credential environment variables. The hidden token cache is a real local credential exposure surface, while no prompt injection or malicious exfiltration intent was found.

スキャンされたファイル

549

解析済み行数

レビュー項目

誤検知を無視

機能レビュー項目 (9)

これらは、このスキルに期待される可能性のある実際のローカル機能であるため、レビューが必要ですが、確認済みの悪意ある動作としてはカウントされません。

高

references/error-codes.md:22

Hidden file in home directory

- The script caches tokens at `~/.pangolin_token`

The documentation states that authentication tokens are cached in ~/.pangolin_token. A home-directory token cache creates a real local credential exposure surface if the account or file permissions are compromised.

高

references/error-codes.md:27

Hidden file in home directory

2. Cached token at `~/.pangolin_token`

The token resolution order explicitly uses ~/.pangolin_token. Persisting a bearer token in a hidden home file is a real credential storage risk even when restrictive permissions are intended.

中

references/error-codes.md:22

Hidden file access

- The script caches tokens at `~/.pangolin_token`

The documented client accesses a hidden home-directory file to cache authentication tokens. This is expected functionality, but it exposes sensitive credentials to local file-access threats.

中

references/error-codes.md:27

Hidden file access

2. Cached token at `~/.pangolin_token`

The documented token lookup reads ~/.pangolin_token. The access is intentional, but local compromise or unsafe backups could expose the stored bearer token.

低

scripts/pangolinfo.py:92

Python environment access

token = os.environ.get("PANGOLIN_TOKEN")

The client reads PANGOLIN_TOKEN from the process environment to authenticate API calls. This is expected, but mishandled environments or logs could expose a bearer credential.

低

scripts/pangolinfo.py:100

Python environment access

email = os.environ.get("PANGOLIN_EMAIL")

The client reads PANGOLIN_EMAIL from the environment for password-based login. The access is legitimate but handles account credentials and therefore carries a limited exposure risk.

低

scripts/pangolinfo.py:101

Python environment access

password = os.environ.get("PANGOLIN_PASSWORD")

The client reads PANGOLIN_PASSWORD from the environment for authentication. This is required by the documented fallback flow, but passwords require careful process and logging controls.

低

scripts/pangolinfo.py:117

Python environment access

email = os.environ.get("PANGOLIN_EMAIL")

Token refresh reads PANGOLIN_EMAIL from the environment. This is an expected credential access path, with risk limited to local handling of the account identifier.

低

scripts/pangolinfo.py:118

Python environment access

password = os.environ.get("PANGOLIN_PASSWORD")

Token refresh reads PANGOLIN_PASSWORD from the environment. The use is consistent with re-authentication, but it still requires secure secret-management practices.

リスク要因

🌐 ネットワークアクセス (20)

📁 ファイルシステムへのアクセス (4)

references/error-codes.md:22 references/error-codes.md:27 references/error-codes.md:22 references/error-codes.md:27

🔑 環境変数 (5)

scripts/pangolinfo.py:92 scripts/pangolinfo.py:100 scripts/pangolinfo.py:101 scripts/pangolinfo.py:117 scripts/pangolinfo.py:118

⚙️ 外部コマンド (16)

SKILL.md:29 SKILL.md:30 SKILL.md:32-37 SKILL.md:37-43 SKILL.md:43-45 SKILL.md:45-49 SKILL.md:49-51 SKILL.md:51-55 SKILL.md:55-63 SKILL.md:63-67 SKILL.md:67-68 SKILL.md:68-69 SKILL.md:69-70 SKILL.md:70-71 SKILL.md:71-72 SKILL.md:72-73

監査者: codex

このレポートを共有・引用

バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。

バージョン別レポートを開く

レポートリンクをコピー

https://skillstore.io/skills/pangolin-spg-pangolinfo-amazon-scraper/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdownバッジ

[![Skillstore security assessment](https://skillstore.io/badges/skills/pangolin-spg-pangolinfo-amazon-scraper/security.svg)](https://skillstore.io/skills/pangolin-spg-pangolinfo-amazon-scraper?utm_source=security_passport_badge)

HTMLバッジ

<a href="https://skillstore.io/skills/pangolin-spg-pangolinfo-amazon-scraper?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/pangolin-spg-pangolinfo-amazon-scraper/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

埋め込みカード

<iframe src="https://skillstore.io/embed/skills/pangolin-spg-pangolinfo-amazon-scraper.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

学術引用 (APA · BibTeX · CFF)

APA形式の引用

pangolin-spg. (2026). pangolinfo-amazon-scraper security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/pangolin-spg-pangolinfo-amazon-scraper/audits/1

BibTeX形式の引用

@techreport{pangolin-spg-pangolin-spg-pangolinfo-amazon-scraper-2026,
  author = {pangolin-spg},
  title = {pangolinfo-amazon-scraper security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/pangolin-spg-pangolinfo-amazon-scraper/audits/1},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "pangolinfo-amazon-scraper security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "pangolin-spg"
date-released: "2026-09-30"
url: "https://skillstore.io/skills/pangolin-spg-pangolinfo-amazon-scraper/audits/1"
identifiers:
  - type: other
    value: "skillstore:pangolin-spg-pangolinfo-amazon-scraper:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore スコア

このスコアの理由証拠の信頼度: 中

アーキテクチャ

保守性

コンテンツ

コミュニティ

仕様準拠

作成できるもの

Product Research

Compare prices, ratings, sellers, features, and availability across selected Amazon products.

Market Monitoring

Track keyword results, category rankings, best sellers, and new releases for recurring marketplace analysis.

Data Pipeline Enrichment

Add normalized Amazon product or seller data to internal reports, research workflows, and agent pipelines.

これらのプロンプトを試す

Scrape One Product

Retrieve structured details for this Amazon product URL: [URL]. Use the product detail parser and return the title, brand, price, ratings, seller, availability, and ASIN.

Search a Keyword

Search Amazon for [KEYWORD]. Return the first available products with titles, ASINs, prices, ratings, review counts, sponsored status, and delivery information.

Compare Sellers

Collect products from this Amazon seller page: [URL]. Group the results by product and summarize price, rating, availability, and delivery fields.

Build a Ranking Brief

Analyze [CATEGORY OR KEYWORD] using Amazon ranking or search results. Return a concise brief covering leading products, price bands, ratings, review volume, seller signals, and notable gaps.

ベストプラクティス

Use token authentication when possible and keep credentials outside prompts, source files, and logs.
Choose the parser that matches the Amazon page type and request only the format your workflow needs.
Respect account credits, regional URLs, service limits, and applicable Amazon terms.

回避

Do not place Pangolinfo tokens or passwords directly in prompts, scripts, or shared logs.
Do not treat scraped fields as guaranteed current, complete, or authoritative without validation.
Do not issue repeated broad scraping requests without checking credits, scope, and service policies.