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.
Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.
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.
Usa estos enlaces cuando un agente de IA, crawler o script necesite contexto limpio en vez de leer la página completa.
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:
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.
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.
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.
https://skillstore.io/skills/sentdm-messaging-performance-analyzer/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/sentdm-messaging-performance-analyzer?utm_source=security_passport_badge)<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><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>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@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}
}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"
Compare channel funnels, isolate the largest transition loss, and identify the evidence needed for a reliable diagnosis.
Distinguish message delivery problems from webhook configuration, subscription, or endpoint failures.
Measure delivery and engagement by profile, template, country, channel, and time window.
Analyze this Sent MDR export. Report counts by channel and latest status, then identify the largest supported delivery issue.
Compare these two campaign periods by channel, profile, template, and country. Show count and rate changes, then state the strongest supported explanation.
Sent shows delivered messages, but our database lacks callbacks. Compare status, activity, webhook history, subscriptions, and endpoint responses before naming the cause.
Analyze this multi-channel incident using explicit activity histories only. Reconcile all groups, quantify anomalies, rank hypotheses, and prepare one evidence-based escalation recommendation.
Autor
sentdmLicencia
MIT
Revisión de Skillstore
r1
Aviso de versión
El autor no declaró una versión.
Ref.
403a72913d563cb23b8c54ebfae13b3ab6ebdb34
Actualidad del mantenimiento
11/9/2026
Uso
0 descargas · 0 vistas
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