geo-scan
Audit Website Content Readiness
Content and build changes can introduce hidden discovery and structured-data regressions. This skill runs geoptimize and presents deterministic findings with clear evidence and limitations.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "geo-scan" from https://skillstore.io/skills/cucuwang-geo-scan.md and its manifest at https://skillstore.io/api/skills/cucuwang-geo-scan/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「geo-scan」を使用しています。 Audit the authorized production site and focus on critical content-readiness issues.
期待される結果:
- Deterministic score: 78 using methodology version 2.
- Critical issue: a noindex directive prevents discovery on the primary product page.
- Limitation: the score does not predict ranking or citation changes.
「geo-scan」を使用しています。 Check the local release build for regressions against the previous report.
期待される結果:
The build introduces one malformed structured-data field and two unsupported quantitative claims. Existing FAQ content does not affect the deterministic score.
「geo-scan」を使用しています。 Add a multi-model review to the URL scan.
期待される結果:
The deterministic findings remain separate from the experimental review. The model opinions are subjective and do not predict indexing, visibility, or rich results.
セキュリティ監査
安全One finding is confirmed because the workflow invokes an external package through npx, which may download and execute package code. Five findings are false positives caused by Markdown fences or inline code formatting, and no semantic threats were found.
機能レビュー項目 (1)
これらは、このスキルに期待される可能性のある実際のローカル機能であるため、レビューが必要ですが、確認済みの悪意ある動作としてはカウントされません。
リスク要因
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/cucuwang-geo-scan/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/cucuwang-geo-scan?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/cucuwang-geo-scan?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/cucuwang-geo-scan/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/cucuwang-geo-scan.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
cucuwang. (2026). geo-scan security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/cucuwang-geo-scan/audits/1BibTeX形式の引用
@techreport{cucuwang-cucuwang-geo-scan-2026,
author = {cucuwang},
title = {geo-scan security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/cucuwang-geo-scan/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: "geo-scan security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "cucuwang"
date-released: "2026-09-11"
url: "https://skillstore.io/skills/cucuwang-geo-scan/audits/1"
identifiers:
- type: other
value: "skillstore:cucuwang-geo-scan:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Review a production website
Scan a public URL and summarize content-readiness issues before a search or discovery review.
Check a local release build
Audit generated files for noindex mistakes, structured-data defects, and repeatable content regressions before deployment.
Track audit regressions
Produce deterministic, machine-readable results that teams can compare across releases.
これらのプロンプトを試す
Run a deterministic content-readiness scan for [URL]. Summarize the score, methodology version, critical findings, evidence, and limitations.
Scan [directory] as a local build. Prioritize noindex directives, unsupported claims, structured-data defects, and reproducible content regressions.
Scan [current build] and compare the deterministic findings with [baseline report]. Identify new critical issues and explain the supporting evidence.
Run the deterministic scan for [target], then add the requested multi-model review. Keep subjective conclusions separate and state that they do not predict visibility.
ベストプラクティス
- Use an authorized local build when a URL scan cannot access the target.
- Keep deterministic results separate from experimental model opinions.
- Verify that generated structured data matches visible content and current product behavior.
回避
- Do not claim that a score increase guarantees ranking, indexing, visibility, or citations.
- Do not bypass access controls when a URL scan fails.
- Do not treat FAQ content or llms.txt as scored improvements.
よくある質問
What targets can this skill scan?
Does the score predict search ranking?
Can the output support automated workflows?
What does the audit prioritize?
When should I use the multi-model review?
Does llms.txt improve the scan score?
開発者情報
作成者
cucuwangライセンス
MIT
Skillstore リビジョン
r1
バージョンに関する注意
作者はバージョンを宣言していません。
リポジトリ
https://github.com/cucuwang/geoptimize/tree/e4580129e746110cdacf3b4644757c9575c56a93/skills/geo-scan参照
7c99d96a0368287ee77cc6e97121e473c91ab0a5
メンテナンスの新しさ
2026/9/11
利用状況
0 ダウンロード · 0 閲覧
ファイル構成
📄 SKILL.md