pangolinfo-ai-serp
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.
使用我的智慧代理安裝
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
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.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
測試它
正在使用「pangolinfo-ai-serp」。 Search for how Java works in SERP mode and include a remote page screenshot.
預期結果:
- 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.
正在使用「pangolinfo-ai-serp」。 Search for JavaScript in AI Mode and list the returned references.
預期結果:
- 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.
安全審計
中風險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.
已確認的安全問題 (2)
風險因素
🌐 網路存取 (28)
📁 檔案系統存取 (4)
🔑 環境變數 (5)
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/pangolin-spg-pangolinfo-ai-serp/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/pangolin-spg-pangolinfo-ai-serp?utm_source=security_passport_badge)HTML 徽章
<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>嵌入卡片
<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>學術引用 (APA · BibTeX · CFF)
APA 引用
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/1BibTeX 引用
@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 評分
評分依據 證據置信度: 中你可以打造什麼
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.
試試這些提示
Use Pangolinfo SERP mode to search for [topic]. Present returned organic titles, URLs, and snippets. Note whether an AI Overview is available.
Search for [question] in SERP mode. Summarize any returned AI Overview and list its source references. Do not invent missing citations.
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.
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.
最佳實務
- 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.
避免
- 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.
常見問題
How do I configure authentication?
Which tools and runtime does this skill support?
Does each search consume credits?
Why is an AI Overview missing?
Does the screenshot option capture my screen?
Can this skill scrape Amazon products?
開發者詳細資訊
作者
pangolin-spg授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
維護新鮮度
2026/9/30
使用量
0 次下載 · 0 次瀏覽
檔案結構