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.
インストール前に停止して確認を求めてください。
計画を確認し、ファイルを変更する前にユーザーの明示的な同意を得てください。
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
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.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「mirrord-kafka」を使用しています。 Our Kafka Streams workload needs splitting and a payload filter.
期待される結果:
- 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.
「mirrord-kafka」を使用しています。 A non-Streams KafkaJS consumer fails with INCONSISTENT_GROUP_PROTOCOL.
期待される結果:
- 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.
「mirrord-kafka」を使用しています。 Our managed Kafka platform rejects temporary topics with PolicyViolation.
期待される結果:
- 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.
セキュリティ監査
高リスク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.
確認済みのセキュリティ上の懸念 (4)
機能レビュー項目 (1)
これらは、このスキルに期待される可能性のある実際のローカル機能であるため、レビューが必要ですが、確認済みの悪意ある動作としてはカウントされません。
リスク要因
⚙️ 外部コマンド (50)
📁 ファイルシステムへのアクセス (10)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/metalbear-co-mirrord-kafka/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/metalbear-co-mirrord-kafka?utm_source=security_passport_badge)HTMLバッジ
<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>埋め込みカード
<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>学術引用 (APA · BibTeX · CFF)
APA形式の引用
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形式の引用
@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 スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
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.
これらのプロンプトを試す
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.
ベストプラクティス
- 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.
回避
- 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.
よくある質問
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?
開発者情報
作成者
metalbear-coライセンス
MIT
作者バージョン
v2.5
Skillstore リビジョン
r1
バージョンに関する注意
作者が宣言したバージョンは有効な SemVer ではありません。
参照
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
メンテナンスの新しさ
2026/9/30
利用状況
0 ダウンロード · 0 閲覧