Compétences pangolinfo-amazon-scraper

📦

pangolinfo-amazon-scraper

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

Révision du contenu r1 Sûr 🌐 Accès réseau📁 Accès au système de fichiers🔑 Variables d’environnement⚙️ Commandes externes

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.

Prend en charge: Claude Codex Code(CC)

🥉 79 Bronze

Maintain this Skill? Claim it 🥉 79 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent

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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Détail Markdown GET /skills/pangolin-spg-pangolinfo-amazon-scraper.md manifest signé GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/manifest lockfile signé GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/lockfile

Tester

Utilisation de « pangolinfo-amazon-scraper ». Product URL for a wireless mouse with the product detail parser.

Résultat attendu:

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

Utilisation de « pangolinfo-amazon-scraper ». Keyword search for noise cancelling headphones.

Résultat attendu:

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.

Utilisation de « pangolinfo-amazon-scraper ». Best sellers request for the home office category.

Résultat attendu:

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

Audit de sécurité

Sûr

v1 • 30/09/2026 Ouvrir le rapport versionné

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.

Fichiers analysés

549

Lignes analysées

Éléments à examiner

Faux positifs ignorés

Éléments d’évaluation des capacités (9)

Il s’agit de capacités locales réelles qui peuvent être attendues pour cette compétence ; elles nécessitent donc un examen, mais ne sont pas comptabilisées comme comportement malveillant confirmé.

Élevé

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.

Élevé

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.

Moyen

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.

Moyen

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.

Faible

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.

Faible

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.

Faible

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.

Faible

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.

Faible

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.

Facteurs de risque

🌐 Accès réseau (20)

📁 Accès au système de fichiers (4)

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

🔑 Variables d’environnement (5)

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

⚙️ Commandes externes (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

Audité par: codex

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Ouvrir le rapport versionné

Copier le lien du rapport

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

Badge Markdown

[![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)

Badge HTML

<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>

Carte intégrable

<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>

Citations académiques (APA · BibTeX · CFF)

Citation APA

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

Citation BibTeX

@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"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen

Architecture

Maintenabilité

Contenu

Communauté

Conformité aux spécifications

Ce que vous pouvez créer

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.

Essayez ces prompts

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.

Bonnes pratiques

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.

Éviter

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.