스킬 pangolinfo-amazon-scraper

📦

pangolinfo-amazon-scraper

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

콘텐츠 리비전 r1 안전 🌐 네트워크 접근📁 파일 시스템 접근🔑 환경 변수⚙️ 외부 명령어

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.

지원: Claude Codex Code(CC)

🥉 79 브론즈

Maintain this Skill? Claim it 🥉 79 브론즈

내 에이전트로 설치

이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.

에이전트 요청

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.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/pangolin-spg-pangolinfo-amazon-scraper.md 서명된 manifest GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/manifest 서명된 lockfile GET /api/skills/pangolin-spg-pangolinfo-amazon-scraper/lockfile

테스트해 보기

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

예상 결과:

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

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

예상 결과:

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" 사용 중입니다. Best sellers request for the home office category.

예상 결과:

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

보안 감사

안전

v1 • 2026. 9. 30. 버전별 보고서 열기

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.

스캔된 파일

549

분석된 줄 수

검토 항목

오탐 무시됨

기능 검토 항목 (9)

이 스킬에 대해 예상될 수 있는 실제 로컬 기능이므로 검토가 필요하지만, 확인된 악의적 동작으로는 집계되지 않습니다.

높음

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.

높음

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.

중간

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.

중간

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.

낮음

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.

낮음

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.

낮음

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.

낮음

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.

낮음

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.

위험 요인

🌐 네트워크 접근 (20)

📁 파일 시스템 접근 (4)

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

🔑 환경 변수 (5)

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

⚙️ 외부 명령어 (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

감사자: codex

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

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

Markdown 배지

[![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 배지

<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>

임베드 카드

<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>

학술 인용 (APA · BibTeX · CFF)

APA 인용

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 인용

@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 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

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.

이 프롬프트를 사용해 보세요

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.

모범 사례

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.

피하기

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.