mirrord-kafka
Configure Kafka Queue Splitting with mirrord
Kafka splitting requires matching Kubernetes resources, client authentication, and developer message filters. This skill guides configuration generation, compatibility checks, and troubleshooting for mirrord.
Detente y solicita confirmación antes de instalar.
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 "mirrord-kafka" from https://skillstore.io/skills/metalbear-co-mirrord-kafka.md and its manifest at https://skillstore.io/api/skills/metalbear-co-mirrord-kafka/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 "mirrord-kafka". Our Kafka Streams workload needs splitting and a payload filter.
Resultado esperado:
- Kafka Streams requires the Java client, a Streams application identifier, and the Kafka sidecar.
- Payload filtering with jq_filter is unavailable for the Java client.
- Use supported header filters and confirm the required operator settings before deployment.
Usando "mirrord-kafka". A non-Streams KafkaJS consumer fails with INCONSISTENT_GROUP_PROTOCOL.
Resultado esperado:
- The documented cause is a custom partition-assignment protocol incompatible with the operator consumer.
- For operator 3.195.0 or later, review the temporary consumer-group option.
- Confirm rollout completion; operator 3.204.0 or later supports increasing the group-join timeout.
Usando "mirrord-kafka". Our managed Kafka platform rejects temporary topics with PolicyViolation.
Resultado esperado:
- Check the platform minimum replication factor against the temporary-topic configuration.
- Operator 3.191.0 or later supports copying the source replication factor or setting an explicit value.
- Review the proposed configuration before applying it.
Auditoría de seguridad
Riesgo altoMost alerts are false positives involving Markdown backticks, TLS property names, or read-only discovery. Four alerts identify credential exposure through command arguments or unencrypted key exports; unfiltered workload inspection adds a separate disclosure risk. No evidence found of malicious exfiltration or prompt injection.
Preocupaciones de seguridad confirmadas (4)
Elementos de revisión de capacidades (1)
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 (50)
📁 Acceso al sistema de archivos (10)
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Copiar enlace del informe
https://skillstore.io/skills/metalbear-co-mirrord-kafka/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportInsignia Markdown
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<a href="https://skillstore.io/skills/metalbear-co-mirrord-kafka?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/metalbear-co-mirrord-kafka/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Tarjeta para insertar
<iframe src="https://skillstore.io/embed/skills/metalbear-co-mirrord-kafka.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
metalbear-co. (2026). mirrord-kafka security audit report (audit version 1) [Author version 2.5]. Skillstore. https://skillstore.io/skills/metalbear-co-mirrord-kafka/audits/1Cita BibTeX
@techreport{metalbear-co-metalbear-co-mirrord-kafka-2026,
author = {metalbear-co},
title = {mirrord-kafka security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/metalbear-co-mirrord-kafka/audits/1},
note = {Author version 2.5}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "mirrord-kafka security audit report (audit version 1)"
version: "2.5"
type: report
authors:
- name: "metalbear-co"
date-released: "2026-09-29"
url: "https://skillstore.io/skills/metalbear-co-mirrord-kafka/audits/1"
identifiers:
- type: other
value: "skillstore:metalbear-co-mirrord-kafka:audit:1"
description: "Skillstore immutable audit report identifier"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
Prepare a Team Kafka Connection
Generate namespace-specific connection and split resources with Secret references and the required Helm settings.
Debug Selected Consumer Messages
Draft header or payload filters that route relevant Kafka messages to a local application.
Diagnose Failed Splitting Sessions
Compare redacted errors and installed versions against documented protocol, replication, and rollout constraints.
Prueba estos prompts
Explain the prerequisites for mirrord Kafka splitting. Ask for versions and nonsecret workload details. Do not inspect my cluster or request credentials.
Draft Kafka splitting resources for [deployment] in [namespace], using [broker], [topic environment variable], and [group environment variable]. Reference [Secret name] without reading its values. Include Helm guidance and matching mirrord configuration; do not apply changes.
Design filters for [queue ID] using this redacted payload example: [sample]. Check [operator version], [CLI version], and [client backend]. Explain JSON or raw protobuf options, filter errors, and mirror versus steal behavior.
Review these redacted legacy resources and logs: [inputs]. Plan migration to current resources for [versions]. Check namespace lookup, authentication references, replication policies, and rollout timeouts. Provide validation and recovery steps without reading secrets or changing the cluster.
Mejores prácticas
- Confirm operator and CLI versions, namespace ownership, and Kafka client compatibility before generating resources.
- Use Secret references and owner-only credential files; avoid command-line credential values and unprotected private-key exports.
- Review generated changes and redact workload output before sharing it with an agent.
Evitar
- Pasting passwords, private keys, or unredacted workload YAML into prompts.
- Using jq_filter with Kafka Streams or assuming protobuf schema-registry framing is supported.
- Setting group.id manually or defining both groupId and appId for one queue.
Preguntas frecuentes
Which AI tools can use this skill?
Which mirrord versions support the current resources?
Does Kafka splitting require a paid plan?
Can I filter Kafka messages by their contents?
Should I provide Kafka credentials to the agent?
Can this skill help migrate deprecated resources?
Detalles del desarrollador
Autor
metalbear-coLicencia
MIT
Versión del autor
v2.5
Revisión de Skillstore
r1
Aviso de versión
La versión declarada por el autor no es un SemVer válido.
Repositorio
https://github.com/metalbear-co/skills/tree/a0ad7ca50ffb241a1c4f9c6a05d17661d5d658a5/skills/mirrord-kafkaRef.
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
Actualidad del mantenimiento
30/9/2026
Uso
0 descargas · 0 vistas
Estructura de archivos