스킬 pangolinfo-ai-serp

📦

pangolinfo-ai-serp

Name: pangolinfo-ai-serp
Author: pangolin-spg

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

Retrieve Google Results and AI Overviews

Manual Google research makes search results difficult to reuse in automated workflows. This skill retrieves structured results, AI Overviews, and follow-up answers through Pangolinfo APIs.

지원: Claude Codex Code(CC)

📊 72 적절함

Maintain this Skill? Claim it 📊 72 적절함

내 에이전트로 설치

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

에이전트 요청

Review the Skillstore skill "pangolinfo-ai-serp" from https://skillstore.io/skills/pangolin-spg-pangolinfo-ai-serp.md and its manifest at https://skillstore.io/api/skills/pangolin-spg-pangolinfo-ai-serp/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-ai-serp.md 서명된 manifest GET /api/skills/pangolin-spg-pangolinfo-ai-serp/manifest 서명된 lockfile GET /api/skills/pangolin-spg-pangolinfo-ai-serp/lockfile

테스트해 보기

"pangolinfo-ai-serp" 사용 중입니다. Search for how Java works in SERP mode and include a remote page screenshot.

예상 결과:

Illustrative output based on the bundled API example, not a live search.
AI Overview: Java works by compiling source code...
Overview reference: How Java Works - Oracle.
Organic result: Java Tutorial for Beginners, with its returned URL and snippet.
A provider-hosted screenshot URL and task identifier are included when returned.

"pangolinfo-ai-serp" 사용 중입니다. Search for JavaScript in AI Mode and list the returned references.

예상 결과:

Illustrative output based on the bundled API example, not a live search.
AI Overview: JavaScript is a high-level programming language...
Reference: JavaScript - Wikipedia.
Source URL: https://en.wikipedia.org/wiki/JavaScript
The response includes success status, result count, and task identifier.

보안 감사

중간 위험

v1 • 2026. 9. 30. 버전별 보고서 열기

All 58 static findings are false positives involving expected API access, scoped authentication, remote page screenshots, documented token caching, or Markdown formatting. No evidence found of malicious intent, local screen capture, system reconnaissance, or prompt injection. Source review confirmed unsafe token-cache creation and partial token disclosure in authentication output as separate semantic findings.

스캔된 파일

697

분석된 줄 수

검토 항목

오탐 무시됨

확인된 보안 우려 사항 (2)

중간

scripts/pangolinfo.py:55-57

Token Cache Written Before Permission Restriction

save_cached_token writes a plaintext bearer token before applying mode 0600. A permissive umask can briefly expose new tokens; symbolic links are also followed.

The write_text call precedes chmod and has no exclusive creation or symbolic-link protection. Exploitability depends on local permissions and attacker access.

낮음

scripts/pangolinfo.py:263-273

Partial Bearer Token Disclosure in Authentication Output

The --auth-only output reveals the first eight and last four token characters when token length exceeds twelve. Captured logs can retain these credential fragments.

The output expression directly slices the bearer token into stdout. This exposes credential fragments, not necessarily a complete usable token.

위험 요인

🌐 네트워크 접근 (28)

📁 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:94 scripts/pangolinfo.py:102 scripts/pangolinfo.py:103 scripts/pangolinfo.py:119 scripts/pangolinfo.py:120

⚙️ 외부 명령어 (15)

SKILL.md:28 SKILL.md:35 SKILL.md:36 SKILL.md:38-43 SKILL.md:43-49 SKILL.md:49-51 SKILL.md:51-55 SKILL.md:55-57 SKILL.md:57-61 SKILL.md:61-65 SKILL.md:65-72 SKILL.md:72-73 SKILL.md:73-74 SKILL.md:74-75 SKILL.md:75

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-ai-serp/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-ai-serp/security.svg)](https://skillstore.io/skills/pangolin-spg-pangolinfo-ai-serp?utm_source=security_passport_badge)

HTML 배지

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

임베드 카드

<iframe src="https://skillstore.io/embed/skills/pangolin-spg-pangolinfo-ai-serp.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-ai-serp security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/pangolin-spg-pangolinfo-ai-serp/audits/1

BibTeX 인용

@techreport{pangolin-spg-pangolin-spg-pangolinfo-ai-serp-2026,
  author = {pangolin-spg},
  title = {pangolinfo-ai-serp security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/pangolin-spg-pangolinfo-ai-serp/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-ai-serp 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-ai-serp/audits/1"
identifiers:
  - type: other
    value: "skillstore:pangolin-spg-pangolinfo-ai-serp: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

Inspect Search Visibility

Retrieve organic results and available AI Overview citations for selected keywords to support search visibility reviews.

Build Search Data Pipelines

Use structured search output, task identifiers, and success indicators as inputs to a research pipeline.

Explore Technical Topics

Ask an initial AI Mode question, submit focused follow-ups, and inspect returned source references.

이 프롬프트를 사용해 보세요

Retrieve Basic Search Results

Use Pangolinfo SERP mode to search for [topic]. Present returned organic titles, URLs, and snippets. Note whether an AI Overview is available.

Review AI Overview Sources

Search for [question] in SERP mode. Summarize any returned AI Overview and list its source references. Do not invent missing citations.

Compare Options with Follow-Ups

Use AI Mode to search for [topic]. Submit follow-ups asking about [comparison] and [constraint]. Summarize returned answers and references without assuming separate per-turn records.

Prepare a Pipeline Record

Run one SERP query for [public keyword] with [result count] requested results and remote screenshot enabled. Inspect raw output. Report success, task identifier, available result fields, and screenshot URL. Do not expose credentials.

모범 사례

Provide PANGOLIN_TOKEN through a secret manager; keep cached tokens and authentication output private.
Send only approved public queries, and verify important claims against the returned source references.
Keep AI Mode follow-ups to five or fewer, and check success status before consuming results.

피하기

Submitting confidential text or credentials as search queries or follow-up questions.
Treating AI Overview content as verified fact or assuming every query returns an overview.
Running large unbudgeted query batches without checking provider credits and failure responses.

자주 묻는 질문

How do I configure authentication?

Set PANGOLIN_TOKEN, or provide PANGOLIN_EMAIL and PANGOLIN_PASSWORD. The client checks the environment token, its local cache, then login credentials.

Which tools and runtime does this skill support?

The listing supports Claude, Codex, and Claude Code. The bundled client requires Python 3.6 or later and uses only the standard library.

Does each search consume credits?

Bundled documentation lists two credits per successful AI Mode or SERP request. Confirm current pricing and account balance with Pangolinfo.

Why is an AI Overview missing?

Not every query produces an AI Overview. The client includes overview content only when the provider returns it.

Does the screenshot option capture my screen?

No. It requests a remote screenshot of the searched Google page and returns a provider-hosted URL when available.

Can this skill scrape Amazon products?

No. Amazon scraping moved to a separate skill. The legacy Amazon mode prints a migration message and exits without scraping.