Habilidades messaging-performance-analyzer

📦

messaging-performance-analyzer

Name: messaging-performance-analyzer
Author: sentdm

Revisión del contenido r1 Seguro ⚙️ Comandos externos

Diagnose Messaging Performance

Delivery data is difficult to interpret when statuses, channels, and webhook evidence disagree. This skill builds reliable cohorts and identifies the strongest supported cause.

Compatible con: Claude Codex Code(CC)

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Instalar con mi Agente

Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.

Solicitud de agente

Review the Skillstore skill "messaging-performance-analyzer" from https://skillstore.io/skills/sentdm-messaging-performance-analyzer.md and its manifest at https://skillstore.io/api/skills/sentdm-messaging-performance-analyzer/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

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.

Detalle Markdown GET /skills/sentdm-messaging-performance-analyzer.md Manifest firmado GET /api/skills/sentdm-messaging-performance-analyzer/manifest Lockfile firmado GET /api/skills/sentdm-messaging-performance-analyzer/lockfile

Pruébalo

Usando "messaging-performance-analyzer". Analyze an SMS export with 1,200 routed messages and 720 delivered messages.

Resultado esperado:

Primary diagnosis: the largest observed loss is between routing and delivery. Verify compliance, opt-out, and provider error evidence for the affected cohort.

Usando "messaging-performance-analyzer". Explain why delivered messages are missing from our customer database.

Resultado esperado:

Delivery status is healthy in Sent.
Customer-side callbacks are incomplete.
Check webhook subscriptions, event history, and endpoint response failures next.

Usando "messaging-performance-analyzer". Compare WhatsApp and SMS campaign results.

Resultado esperado:

Report delivery for both channels, but report READ only as WhatsApp engagement. Keep counts, rates, exclusions, and cohort definitions visible.

Auditoría de seguridad

Seguro

v1 • 11/9/2026 Abrir el informe versionado

All 57 static findings are false positives caused by Markdown code formatting, documentation terminology, Python docstrings, and ordinary error handling. The script only reads a user-selected CSV or JSON file, computes local statistics, and prints results; no prompt injection, command execution, network access, or malicious intent was found.

Archivos escaneados

1,252

Líneas analizadas

Elementos de revisión

Falsos positivos ignorados

La auditoría estática y semántica completada más reciente no detectó hallazgos de seguridad confirmados. Esto no demuestra que el skill no tenga efectos secundarios.

Auditado por: codex

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.

Abrir el informe versionado

Copiar enlace del informe

https://skillstore.io/skills/sentdm-messaging-performance-analyzer/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Insignia Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/sentdm-messaging-performance-analyzer/security.svg)](https://skillstore.io/skills/sentdm-messaging-performance-analyzer?utm_source=security_passport_badge)

Insignia HTML

<a href="https://skillstore.io/skills/sentdm-messaging-performance-analyzer?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/sentdm-messaging-performance-analyzer/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Tarjeta para insertar

<iframe src="https://skillstore.io/embed/skills/sentdm-messaging-performance-analyzer.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

sentdm. (2026). messaging-performance-analyzer security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sentdm-messaging-performance-analyzer/audits/1

Cita BibTeX

@techreport{sentdm-sentdm-messaging-performance-analyzer-2026,
  author = {sentdm},
  title = {messaging-performance-analyzer security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/sentdm-messaging-performance-analyzer/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: "messaging-performance-analyzer security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "sentdm"
date-released: "2026-09-11"
url: "https://skillstore.io/skills/sentdm-messaging-performance-analyzer/audits/1"
identifiers:
  - type: other
    value: "skillstore:sentdm-messaging-performance-analyzer:audit:1"
    description: "Skillstore immutable audit report identifier"

Puntuación de Skillstore

Por qué esta puntuación Confianza de la evidencia: Medio

Arquitectura

Mantenibilidad

Contenido

Comunidad

Cumplimiento de la especificación

Lo que puedes crear

Investigate delivery drops

Compare channel funnels, isolate the largest transition loss, and identify the evidence needed for a reliable diagnosis.

Debug missing webhook events

Distinguish message delivery problems from webhook configuration, subscription, or endpoint failures.

Review campaign performance

Measure delivery and engagement by profile, template, country, channel, and time window.

Prueba estos prompts

Summarize a delivery export

Analyze this Sent MDR export. Report counts by channel and latest status, then identify the largest supported delivery issue.

Compare campaign periods

Compare these two campaign periods by channel, profile, template, and country. Show count and rate changes, then state the strongest supported explanation.

Diagnose webhook gaps

Sent shows delivered messages, but our database lacks callbacks. Compare status, activity, webhook history, subscriptions, and endpoint responses before naming the cause.

Build an escalation diagnosis

Analyze this multi-channel incident using explicit activity histories only. Reconcile all groups, quantify anomalies, rank hypotheses, and prepare one evidence-based escalation recommendation.

Mejores prácticas

Define the cohort by time, profile, template, channel, country, and recipient segment before calculating rates.
Use Sent message identifiers and explicit activity histories for transition analysis.
Report counts with rates, retain unknown records, and end with one evidence-based verification step.

Evitar

Do not infer missing lifecycle stages from a latest-status snapshot.
Do not combine SMS, WhatsApp, and RCS before checking each channel separately.
Do not label traffic as carrier filtered without a stable baseline and sufficient evidence.