スキル turbo-pipelines
📦
turbo-pipelines
コンテンツリビジョン r1 重大 ⚙️ 外部コマンド🌐 ネットワークアクセス📁 ファイルシステムへのアクセス
Design and Validate Turbo Pipelines
Pipeline configuration can be difficult when sources, transforms, sinks, and deployment modes interact. This skill provides practical YAML guidance and architecture decisions for reliable Goldsky Turbo designs.
対応: Claude Codex Code(CC)
この Skill を自動インストールしないでください。
基準ポリシーにより、インストール操作の前にオペレーターのレビューが必要です。
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。
エージェントリクエスト
Review the Skillstore skill "turbo-pipelines" from https://skillstore.io/skills/goldsky-io-turbo-pipelines.md and its manifest at https://skillstore.io/api/skills/goldsky-io-turbo-pipelines/manifest. Verify the artifact. Do not auto-install. Inspect the skill and report your findings, then wait for an operator or manual installation decision.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
「turbo-pipelines」を使用しています。 When should I use a dataset source with `start_at: earliest`?
期待される結果:
Use it when the pipeline must process available history before continuing with new events. Bound the work for large backfills and confirm the destination can store the result.
「turbo-pipelines」を使用しています。 Should three destinations use separate pipelines?
期待される結果:
Use one pipeline with multiple sinks when the destinations share the same source and lifecycle. Split pipelines when sources, resource sizes, or deployment lifecycles differ.
「turbo-pipelines」を使用しています。 What should I check after a validation error?
期待される結果:
- Confirm names, required fields, and source references.
- Check primary keys and SQL references.
- Validate bounds, credentials, and destination capacity before deployment.
セキュリティ監査
重大v1 • 2026/9/28 バージョン別レポートを開く
Most static matches are documentation false positives involving Markdown syntax, URLs, field names, and a targeted troubleshooting path. The installer examples that pipe remote content directly to a shell are confirmed critical risks and require removal or a verified installation process.
16
スキャンされたファイル
1,477
解析済み行数
0
レビュー項目
0
誤検知を無視
確認済みのセキュリティ上の懸念 (7)
重大
Pipe to shell pattern
curl https://install-turbo.goldsky.com | sh
The documented command downloads remote content and pipes it directly to a shell. A compromised endpoint or intercepted response could execute arbitrary commands with the user's privileges.
重大
Pipe to shell pattern
curl https://install-turbo.goldsky.com | sh
The documented command downloads remote content and pipes it directly to a shell. A compromised endpoint or intercepted response could execute arbitrary commands with the user's privileges.
重大
Pipe to shell pattern
| **Turbo binary not installed** | Run `curl https://install-turbo.goldsky.com \| sh`
The documented command downloads remote content and pipes it directly to a shell. A compromised endpoint or intercepted response could execute arbitrary commands with the user's privileges.
重大
Pipe to shell pattern
- **Goldsky CLI** — `curl https://goldsky.com | sh`
The documented command downloads remote content and pipes it directly to a shell. A compromised endpoint or intercepted response could execute arbitrary commands with the user's privileges.
重大
Pipe to shell pattern
- **Turbo extension** (separate binary) — `curl https://install-turbo.goldsky.com | sh`
The documented command downloads remote content and pipes it directly to a shell. A compromised endpoint or intercepted response could execute arbitrary commands with the user's privileges.
重大
Pipe to shell pattern
| Install Goldsky CLI | `curl https://goldsky.com \| sh` |
The documented command downloads remote content and pipes it directly to a shell. A compromised endpoint or intercepted response could execute arbitrary commands with the user's privileges.
重大
Pipe to shell pattern
| Install Turbo extension | `curl https://install-turbo.goldsky.com \| sh` |
The documented command downloads remote content and pipes it directly to a shell. A compromised endpoint or intercepted response could execute arbitrary commands with the user's privileges.
リスク要因
⚙️ 外部コマンド (50)
evals/trigger-eval.json:9 SKILL.md:8 SKILL.md:10 SKILL.md:16-30 SKILL.md:30-32 SKILL.md:32-35 SKILL.md:35-39 SKILL.md:39-40 SKILL.md:40-41 SKILL.md:41-42 SKILL.md:42-52 SKILL.md:52 SKILL.md:53 SKILL.md:54 SKILL.md:55 SKILL.md:56-57 SKILL.md:57-65 SKILL.md:65-66 SKILL.md:66-67 SKILL.md:67-68 SKILL.md:68-70 SKILL.md:70-76 SKILL.md:76-77 SKILL.md:77-78 SKILL.md:78-79 SKILL.md:79-80 SKILL.md:80-81 SKILL.md:81-85 SKILL.md:85 SKILL.md:91-92 SKILL.md:92-93 SKILL.md:93-94 SKILL.md:94-95 SKILL.md:95-96 SKILL.md:96-97 SKILL.md:97-98 SKILL.md:98-99 SKILL.md:99-100 SKILL.md:100-101 SKILL.md:101-111 SKILL.md:111-120 SKILL.md:120 SKILL.md:126 SKILL.md:134-153 SKILL.md:153-159 SKILL.md:159-170 SKILL.md:170-174 SKILL.md:174 SKILL.md:175 SKILL.md:176
🌐 ネットワークアクセス (11)
📁 ファイルシステムへのアクセス (2)
検出されたパターン
Pipe to shell pattern×7
監査者: codex
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/goldsky-io-turbo-pipelines/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/goldsky-io-turbo-pipelines?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/goldsky-io-turbo-pipelines?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/goldsky-io-turbo-pipelines/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/goldsky-io-turbo-pipelines.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
goldsky-io. (2026). turbo-pipelines security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/goldsky-io-turbo-pipelines/audits/1BibTeX形式の引用
@techreport{goldsky-io-goldsky-io-turbo-pipelines-2026,
author = {goldsky-io},
title = {turbo-pipelines security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/goldsky-io-turbo-pipelines/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: "turbo-pipelines security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "goldsky-io"
date-released: "2026-09-28"
url: "https://skillstore.io/skills/goldsky-io-turbo-pipelines/audits/1"
identifiers:
- type: other
value: "skillstore:goldsky-io-turbo-pipelines: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: 低 45
アーキテクチャ
85
保守性
87
コンテンツ
65
コミュニティ
83
仕様準拠
作成できるもの
Choose a Pipeline Architecture
Compare sources, modes, resource sizes, and sink layouts before starting a new data pipeline.
Configure a Production Sink
Check required fields and connection patterns for PostgreSQL, ClickHouse, Kafka, Pub/Sub, webhooks, or storage sinks.
Troubleshoot Pipeline Validation
Map common validation and runtime errors to likely configuration fixes and verification steps.
これらのプロンプトを試す
Explain a Pipeline Field
Explain what the `start_at` field does in a dataset source. Compare `earliest` and `latest`, and state when each is appropriate.
Select a Source and Mode
I need historical blockchain data followed by live updates. Recommend a source and mode, explain the tradeoffs, and list the fields I should verify.
Design Multiple Outputs
Design a fan-out pipeline that sends one source to PostgreSQL, Kafka, and object storage. Explain the source, transforms, sink references, and sizing choices.
Review a Multi-Chain Plan
Review my multi-chain pipeline architecture. Compare one multi-source pipeline with separate per-chain pipelines, then identify checkpoint, resource, and failure-isolation concerns.
ベストプラクティス
- Set an explicit source start position and bound historical backfills.
- Validate the complete configuration before deployment.
- Match resource size and destination capacity to expected volume.
回避
- Do not split one shared source into separate pipelines without a lifecycle reason.
- Do not deploy an unbounded historical backfill to a small destination.
- Do not treat undocumented source or sink names as guaranteed service features.
よくある質問
What does this skill cover?
It covers Turbo YAML fields, architecture patterns, resource sizing, sinks, transforms, validation, and troubleshooting.
Can it deploy my pipeline?
No. It provides configuration guidance and commands, but it does not replace the builder, operations, or deployment workflow.
When should I choose a dataset source?
Choose a dataset for structured blockchain data, historical backfills, or explicit start positions.
When should I choose Kafka?
Choose Kafka for streaming topics when the required topic is available and documented for your environment.
How do I choose streaming or job mode?
Use streaming for continuous updates. Use job mode for bounded, one-time processing that ends after completion.
Does it manage secrets?
No. It identifies secret fields and prerequisites, but secret creation belongs to the secrets workflow.
開発者情報
作成者
goldsky-ioライセンス
MIT
Skillstore リビジョン
r1
バージョンに関する注意
作者はバージョンを宣言していません。
参照
8b5ad1599e7c55e9b6c627bca3f556f6e9061cb1
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
ファイル構成