Habilidades pangolinfo-amazon-scraper

📦

pangolinfo-amazon-scraper

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

Revisão do conteúdo r1 Seguro 🌐 Acesso à rede📁 Acesso ao sistema de arquivos🔑 Variáveis de ambiente⚙️ Comandos externos

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.

Suporta: Claude Codex Code(CC)

🥉 79 Bronze

Instalar com meu Agente

Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.

Solicitação do agente

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.

Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.

Recursos legíveis por agentes

Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.

Detalhe em Markdown GET /skills/pangolin-spg-pangolinfo-amazon-scraper.md manifest assinado GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/manifest lockfile assinado GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/lockfile

Testar

Usando "pangolinfo-amazon-scraper". Product URL for a wireless mouse with the product detail parser.

Resultado esperado:

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

Usando "pangolinfo-amazon-scraper". Keyword search for noise cancelling headphones.

Resultado esperado:

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.

Usando "pangolinfo-amazon-scraper". Best sellers request for the home office category.

Resultado esperado:

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

Auditoria de segurança

Seguro

v1 • 30/09/2026 Abrir o relatório versionado

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.

Arquivos analisados

549

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

Itens de revisão de capacidade (9)

Estas são capacidades locais reais que podem ser esperadas para esta habilidade, portanto exigem revisão, mas não são contabilizadas como comportamento malicioso confirmado.

Alto

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.

Alto

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.

Médio

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.

Médio

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.

Baixo

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.

Baixo

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.

Baixo

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.

Baixo

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.

Baixo

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.

Fatores de risco

🌐 Acesso à rede (20)

📁 Acesso ao sistema de arquivos (4)

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

🔑 Variáveis de ambiente (5)

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

⚙️ Comandos externos (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

Auditado por: codex

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Compartilhe o relatório de avaliação versionado, o badge neutro, o cartão incorporável e as citações. A Skillstore apresenta evidências sem decidir se este Skill é seguro.

Abrir o relatório versionado

Copiar link do relatório

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>

Cartão incorporável

<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>

Citações acadêmicas (APA · BibTeX · CFF)

Citação 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

Citação 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"

Pontuação do Skillstore

Por que esta pontuação Confiança das evidências: Médio

Arquitetura

Manutenibilidade

Conteúdo

Comunidade

Conformidade com a especificação

O que você pode criar

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.

Teste estes 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.

Boas práticas

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.

Evitar

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.