agent-ready-website-converter
Prepare Website Metadata for AI Agents
Websites often lack consistent metadata for AI browsing and shopping agents. This guide outlines structured data, discovery files, and readiness checks for developer-led implementation.
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 "agent-ready-website-converter" from https://skillstore.io/skills/nexaiguy-agent-ready-website-converter.md and its manifest at https://skillstore.io/api/skills/nexaiguy-agent-ready-website-converter/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
「agent-ready-website-converter」を使用しています。 Review a product page containing a name and price but no stock status.
期待される結果:
- Available fields: product name and displayed price.
- Missing evidence: currency and availability.
- Recommendation: confirm missing details with the catalog owner before publishing Product offer metadata.
「agent-ready-website-converter」を使用しています。 Plan agent-readable metadata for a local storefront.
期待される結果:
- Planned deliverables: Organization and Product JSON-LD, a product feed, discovery metadata, and a readiness report.
- Implementation dependency: the referenced extraction and generation scripts are not included.
- Release checks: verify product facts, validate structured data, and confirm which discovery formats target consumers support.
セキュリティ監査
安全All 11 static findings are false positives involving Markdown formatting, attribution links, or website schema terminology. No evidence found of command execution, exfiltration, host reconnaissance, or audit-directed prompt injection in SKILL.md. The package contains only documentation; its claimed Python pipeline, SSRF protection, and deterministic validation cannot be verified.
リスク要因
⚙️ 外部コマンド (4)
🌐 ネットワークアクセス (2)
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/nexaiguy-agent-ready-website-converter/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/nexaiguy-agent-ready-website-converter?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/nexaiguy-agent-ready-website-converter?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/nexaiguy-agent-ready-website-converter/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/nexaiguy-agent-ready-website-converter.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
nexaiguy. (2026). agent-ready-website-converter security audit report (audit version 1) [Author version 1.2]. Skillstore. https://skillstore.io/skills/nexaiguy-agent-ready-website-converter/audits/1BibTeX形式の引用
@techreport{nexaiguy-nexaiguy-agent-ready-website-converter-2026,
author = {nexaiguy},
title = {agent-ready-website-converter security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/nexaiguy-agent-ready-website-converter/audits/1},
note = {Author version 1.2}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "agent-ready-website-converter security audit report (audit version 1)"
version: "1.2"
type: report
authors:
- name: "nexaiguy"
date-released: "2026-11-02"
url: "https://skillstore.io/skills/nexaiguy-agent-ready-website-converter/audits/1"
identifiers:
- type: other
value: "skillstore:nexaiguy-agent-ready-website-converter: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 Storefront Product Metadata
Use the documented checklist to identify missing product prices, availability, and business details before implementing structured data.
Plan Client Website Deliverables
Prepare a scope covering JSON-LD, product feeds, discovery metadata, and a readiness review without assuming bundled automation.
Prepare a Staging Review
Organize a review of local HTML and list metadata gaps before the website goes live.
これらのプロンプトを試す
Explain the website metadata deliverables described in this guide. Separate documented guidance from automation that is not included.
Review this supplied product HTML: [HTML]. Identify available business details, pricing, and availability. List missing fields without inventing values.
Review the authorized local website folder [folder]. Propose Organization and Product metadata, a product feed, and discovery files. Identify assumptions and validation steps.
Plan conversion for [authorized website] using this guide. Define extraction boundaries, SSRF safeguards, schema checks, and acceptance criteria. Do not assume missing scripts exist.
ベストプラクティス
- Use authorized website content and confirm product facts before generating public metadata.
- Validate structured data independently and review heuristic extraction results before deployment.
- Verify required tooling and network safeguards before implementing the documented workflow.
回避
- Assuming the documentation includes a working Python pipeline or verified SSRF protection.
- Inventing prices, availability, or business details to fill metadata gaps.
- Treating llms.txt or agent.json as universally supported standards or access controls.