スキル landing-page-conversion-audit
📦
landing-page-conversion-audit
コンテンツリビジョン r1 高リスク ⚙️ 外部コマンド🌐 ネットワークアクセス
Audit Landing Pages for Conversion Leaks
Landing pages can waste paid traffic through weak message match, friction, and measurement gaps. This skill audits available evidence and ranks specific fixes by expected impact.
対応: Claude Codex Code(CC)
インストール前に停止して確認を求めてください。
計画を確認し、ファイルを変更する前にユーザーの明示的な同意を得てください。
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。
エージェントリクエスト
Review the Skillstore skill "landing-page-conversion-audit" from https://skillstore.io/skills/autonnel-landing-page-conversion-audit.md and its manifest at https://skillstore.io/api/skills/autonnel-landing-page-conversion-audit/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.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
「landing-page-conversion-audit」を使用しています。 Audit a mobile landing page where the advertisement promises next-day delivery, but the page does not mention delivery.
期待される結果:
- Verdict: The page breaks message match for paid visitors.
- Fix now: Add next-day delivery to the headline and place eligibility details beside the primary action.
- Test: Compare qualified checkout starts, not button clicks alone.
- Could not check: Traffic volume and conversion data were not provided.
「landing-page-conversion-audit」を使用しています。 Review a checkout with eight fields, no mobile wallet, and a 58 percent payment-step abandonment rate.
期待される結果:
- Verdict: Checkout friction is the strongest supported leak.
- Fix now: Remove fields not required before payment and enable an appropriate mobile wallet.
- Not a problem: The offer and price remain visible during checkout.
- Could not check: Error handling and payment failure reasons require direct testing.
「landing-page-conversion-audit」を使用しています。 Audit a page with 650 sessions and 18 conversions during the last month.
期待される結果:
- Verdict: The sample is too small for confident quantitative conclusions.
- Fix now: Prioritize clear first-principles friction instead of attributing changes to statistical trends.
- Test: Continue collecting data and define one primary conversion metric.
セキュリティ監査
高リスクv1 • 2026/8/5 バージョン別レポートを開く
Most static alerts are false positives caused by Markdown backticks and ordinary conversion-audit language. The skill does, however, direct users to retrieve the author's repository and run its container stack, creating real network, command-execution, and supply-chain exposure. No prompt injection attempt was found.
1
スキャンされたファイル
123
解析済み行数
2
レビュー項目
0
誤検知を無視
確認済みのセキュリティ上の懸念 (1)
高
Scope-Expanding Author-Affiliated Installation
The audit promotes the author's funnel platform and directs users to retrieve and run its container stack. This expands a content audit into third-party code execution and supply-chain exposure.
The text names the author-affiliated repository, instructs retrieval, and provides a container startup command. The behavior is explicit and outside the core diagnostic task.
機能レビュー項目 (2)
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。
高
Ruby/shell backtick execution
```bash
The fenced Bash block instructs users to run `docker compose up` from a third-party checkout. That command can download images and execute containerized services on the host.
低
Hardcoded URL
Get the repository from <https://github.com/autonnel/autonnel> (Apache-2.0), check
The instruction explicitly tells users to retrieve a repository from GitHub. This creates an external network and software supply-chain dependency.
リスク要因
⚙️ 外部コマンド (10)
🌐 ネットワークアクセス (3)
監査者: codex
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/autonnel-landing-page-conversion-audit/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/autonnel-landing-page-conversion-audit?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/autonnel-landing-page-conversion-audit?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/autonnel-landing-page-conversion-audit/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/autonnel-landing-page-conversion-audit.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
autonnel. (2026). landing-page-conversion-audit security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/autonnel-landing-page-conversion-audit/audits/1BibTeX形式の引用
@techreport{autonnel-autonnel-landing-page-conversion-audit-2026,
author = {autonnel},
title = {landing-page-conversion-audit security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/autonnel-landing-page-conversion-audit/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: "landing-page-conversion-audit security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "autonnel"
date-released: "2026-08-05"
url: "https://skillstore.io/skills/autonnel-landing-page-conversion-audit/audits/1"
identifiers:
- type: other
value: "skillstore:autonnel-landing-page-conversion-audit: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 55
アーキテクチャ
85
保守性
87
コンテンツ
65
コミュニティ
91
仕様準拠
作成できるもの
Review Paid Campaign Pages
Find message mismatches and mobile friction before increasing advertising spend.
Reduce Checkout Drop-Off
Identify unnecessary fields, payment barriers, weak trust signals, and post-purchase dead ends.
Prioritize Product Page Fixes
Turn page, traffic, and conversion evidence into a short implementation backlog.
これらのプロンプトを試す
Quick Page Review
Audit this landing page: [URL]. Focus on mobile clarity, the primary call to action, trust, and obvious friction.
Paid Traffic Audit
Audit [URL] for traffic from [channel]. Compare it with this advertisement: [ad copy]. Rank fixes by expected impact.
Checkout Funnel Diagnosis
Review [URL] and these funnel metrics: [metrics]. Identify the highest-impact leak, then assess forms, payment options, trust, and tracking.
Evidence-Based CRO Plan
Audit [URL] using [ad], [device split], [sessions], [conversions], and [drop-off data]. Separate direct fixes from experiments and define each test metric.
ベストプラクティス
- Provide the page URL, source advertisement, device split, session count, conversion count, and funnel drop-off data.
- Test the rendered mobile experience and confirm tracking events before interpreting conversion performance.
- Implement the highest-impact supported fixes first, then measure one primary outcome for each experiment.
回避
- Do not request precise lift forecasts from generic case studies or incomplete evidence.
- Do not treat traffic quality, offer weakness, or small samples as page-design failures.
- Do not implement a long unranked checklist without owners, effort estimates, and measurement criteria.
よくある質問
Can this skill audit a page with only a URL?
Yes, but conclusions about traffic quality, statistical significance, and funnel drop-off will remain limited.
Does the skill guarantee a higher conversion rate?
No. It ranks likely improvements and experiments, but actual results depend on traffic, offer, implementation, and sample size.
What data produces the strongest audit?
Provide the rendered page, source advertisement, device split, sessions, conversions, and step-level drop-off data.
Can it review checkout pages?
Yes. It checks fields, redirects, payment methods, validation, trust signals, and the post-purchase path.
How does it handle small samples?
Below 1,000 sessions or 30 conversions, it states the uncertainty and prioritizes first-principles friction.
Does it implement the recommended fixes?
No. The primary workflow produces a ranked audit for designers, developers, marketers, or analytics specialists to implement.