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.
安装前请停下并请求确认。
请审查安装计划,并在更改文件前获得用户明确同意。
使用我的智能体安装
将此请求复制给你的智能体,其中包含权威 Skill 页面和清单。
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.你的智能体仍应展示其计划,并按安全策略请求必要确认。
Agent 可读资源
当 AI Agent、爬虫或脚本需要干净上下文,而不是读取完整页面时,请使用这些链接。
测试它
正在使用“mirrord-kafka”。 Our Kafka Streams workload needs splitting and a payload filter.
预期结果:
- 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.
正在使用“mirrord-kafka”。 A non-Streams KafkaJS consumer fails with INCONSISTENT_GROUP_PROTOCOL.
预期结果:
- 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.
正在使用“mirrord-kafka”。 Our managed Kafka platform rejects temporary topics with PolicyViolation.
预期结果:
- 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.
安全审计
高风险Most 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.
已确认安全问题 (4)
能力复核项 (1)
这些是真实的本地能力,对此技能可能是预期行为,因此需要复核,但不会按已确认恶意行为计分。
风险因素
⚙️ 外部命令 (50)
分享与引用此报告
分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据,不判断该 Skill 是否安全。
复制报告链接
https://skillstore.io/skills/metalbear-co-mirrord-kafka/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/metalbear-co-mirrord-kafka?utm_source=security_passport_badge)HTML 徽章
<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>嵌入卡片
<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>学术引用 (APA · BibTeX · CFF)
APA 引用
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/1BibTeX 引用
@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"
Skillstore 评分
评分依据 证据置信度: 中你能构建什么
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.
试试这些提示
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.
最佳实践
- 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.
避免
- 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.
常见问题
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?
开发者详情
作者
metalbear-co许可证
MIT
作者版本
v2.5
Skillstore 修订
r1
版本提示
作者声明的版本不符合 SemVer 规范。
引用
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
维护新鲜度
2026/9/30
使用量
0 次下载 · 0 次浏览