landing-page-conversion-audit
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.
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Revisa el plan y obtén el consentimiento explícito del usuario antes de modificar archivos.
Instalar con mi Agente
Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.
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.Tu Agente debe seguir mostrando su plan y solicitar cualquier confirmación exigida por la política de seguridad.
Recursos legibles por agentes
Usa estos enlaces cuando un agente de IA, crawler o script necesite contexto limpio en vez de leer la página completa.
Pruébalo
Usando "landing-page-conversion-audit". Audit a mobile landing page where the advertisement promises next-day delivery, but the page does not mention delivery.
Resultado esperado:
- 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.
Usando "landing-page-conversion-audit". Review a checkout with eight fields, no mobile wallet, and a 58 percent payment-step abandonment rate.
Resultado esperado:
- 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.
Usando "landing-page-conversion-audit". Audit a page with 650 sessions and 18 conversions during the last month.
Resultado esperado:
- 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.
Auditoría de seguridad
Riesgo altoMost 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.
Preocupaciones de seguridad confirmadas (1)
Elementos de revisión de capacidades (2)
Estas son capacidades locales reales que pueden esperarse para esta habilidad, por lo que requieren revisión, pero no se cuentan como comportamiento malicioso confirmado.
Factores de riesgo
⚙️ Comandos externos (10)
🌐 Acceso a red (3)
Compartir y citar este informe
Comparte el informe de evaluación versionado, la insignia neutral, la tarjeta insertable y las citas. Skillstore presenta evidencias sin decidir si este Skill es seguro.
Copiar enlace del informe
https://skillstore.io/skills/autonnel-landing-page-conversion-audit/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportInsignia Markdown
[](https://skillstore.io/skills/autonnel-landing-page-conversion-audit?utm_source=security_passport_badge)Insignia HTML
<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>Tarjeta para insertar
<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>Citas académicas (APA · BibTeX · CFF)
Cita APA
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/1Cita BibTeX
@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"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
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.
Prueba estos prompts
Audit this landing page: [URL]. Focus on mobile clarity, the primary call to action, trust, and obvious friction.
Audit [URL] for traffic from [channel]. Compare it with this advertisement: [ad copy]. Rank fixes by expected impact.
Review [URL] and these funnel metrics: [metrics]. Identify the highest-impact leak, then assess forms, payment options, trust, and tracking.
Audit [URL] using [ad], [device split], [sessions], [conversions], and [drop-off data]. Separate direct fixes from experiments and define each test metric.
Mejores prácticas
- 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.
Evitar
- 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.