Fähigkeiten pangolinfo-amazon-scraper

📦

pangolinfo-amazon-scraper

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

Inhaltsrevision r1 Sicher 🌐 Netzwerkzugriff📁 Dateisystemzugriff🔑 Umgebungsvariablen⚙️ Externe Befehle

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.

Unterstützt: Claude Codex Code(CC)

🥉 79 Bronze

Maintain this Skill? Claim it 🥉 79 Bronze

Mit meinem Agent installieren

Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.

Agent-Anfrage

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.

Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.

Agent-lesbare Ressourcen

Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.

Markdown-Detailseite GET /skills/pangolin-spg-pangolinfo-amazon-scraper.md Signiertes manifest GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/manifest Signiertes lockfile GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/lockfile

Testen

„pangolinfo-amazon-scraper“ wird verwendet. Product URL for a wireless mouse with the product detail parser.

Erwartetes Ergebnis:

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

„pangolinfo-amazon-scraper“ wird verwendet. Keyword search for noise cancelling headphones.

Erwartetes Ergebnis:

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“ wird verwendet. Best sellers request for the home office category.

Erwartetes Ergebnis:

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

Sicherheitsaudit

Sicher

v1 • 30.9.2026 Versionsbericht öffnen

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.

Gescannte Dateien

549

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Elemente der Fähigkeitsprüfung (9)

Dies sind echte lokale Fähigkeiten, die für diese Fähigkeit erwartet werden können; daher müssen sie überprüft werden, werden jedoch nicht als bestätigtes bösartiges Verhalten gezählt.

Hoch

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.

Hoch

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.

Mittel

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.

Mittel

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.

Niedrig

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.

Niedrig

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.

Niedrig

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.

Niedrig

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.

Niedrig

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.

Risikofaktoren

🌐 Netzwerkzugriff (20)

📁 Dateisystemzugriff (4)

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

🔑 Umgebungsvariablen (5)

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

⚙️ Externe Befehle (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

Geprüft von: codex

Diesen Bericht teilen & zitieren

Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.

Versionsbericht öffnen

Berichtslink kopieren

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

Markdown-Badge

[![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-Badge

<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>

Einbettungskarte

<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>

Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

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-Zitat

@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-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

Wartbarkeit

Inhalt

Gemeinschaft

Spezifikationskonformität

Was Sie erstellen können

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.

Diese Prompts ausprobieren

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.

Bewährte Praktiken

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.

Vermeiden

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.