Habilidades messaging-performance-analyzer

📦

messaging-performance-analyzer

Name: messaging-performance-analyzer
Author: sentdm

Revisão do conteúdo 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.

Suporta: Claude Codex Code(CC)

🥈 80 Prata

Instalar com meu Agente

Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.

Solicitação do 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.

Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.

Recursos legíveis por agentes

Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.

Detalhe em Markdown GET /skills/sentdm-messaging-performance-analyzer.md manifest assinado GET /api/skills/sentdm-messaging-performance-analyzer/manifest lockfile assinado GET /api/skills/sentdm-messaging-performance-analyzer/lockfile

Testar

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.

Auditoria de segurança

Seguro

v1 • 11/09/2026 Abrir o relatório 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.

Arquivos analisados

1,252

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

A auditoria estática e semântica concluída mais recente não detectou achados de segurança confirmados. Isso não comprova que a skill não tenha efeitos colaterais.

Auditado por: codex

Compartilhar e citar este relatório

Compartilhe o relatório de avaliação versionado, o badge neutro, o cartão incorporável e as citações. A Skillstore apresenta evidências sem decidir se este Skill é seguro.

Abrir o relatório versionado

Copiar link do relatório

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

Badge 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)

Badge 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>

Cartão incorporável

<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>

Citações acadêmicas (APA · BibTeX · CFF)

Citação 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

Citação 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"

Pontuação do Skillstore

Por que esta pontuação Confiança das evidências: Médio

Arquitetura

Manutenibilidade

Conteúdo

Comunidade

Conformidade com a especificação

O que você pode criar

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.

Teste estes 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.

Boas práticas

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.