turbo-pipelines
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.
Не устанавливайте этот Skill автоматически.
Каноническая политика требует проверки оператором перед любым действием по установке.
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Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.
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.Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.
Ресурсы для AI-агентов
Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.
Протестировать
Использование «turbo-pipelines». When should I use a dataset source with `start_at: earliest`?
Ожидаемый результат:
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.
Использование «turbo-pipelines». Should three destinations use separate pipelines?
Ожидаемый результат:
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.
Использование «turbo-pipelines». What should I check after a validation error?
Ожидаемый результат:
- Confirm names, required fields, and source references.
- Check primary keys and SQL references.
- Validate bounds, credentials, and destination capacity before deployment.
Аудит безопасности
КритичноMost 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.
Подтверждённые проблемы безопасности (7)
Факторы риска
⚙️ Внешние команды (50)
🌐 Доступ к сети (11)
📁 Доступ к файловой системе (2)
Обнаруженные паттерны
Поделиться и цитировать этот отчет
Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.
Копировать ссылку на отчёт
https://skillstore.io/skills/goldsky-io-turbo-pipelines/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportЗначок Markdown
[](https://skillstore.io/skills/goldsky-io-turbo-pipelines?utm_source=security_passport_badge)Значок HTML
<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>Встраиваемая карточка
<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>Академические ссылки (APA · BibTeX · CFF)
Цитата APA
goldsky-io. (2026). turbo-pipelines security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/goldsky-io-turbo-pipelines/audits/1Цитата BibTeX
@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"
Оценка Skillstore
Почему такая оценка Достоверность доказательств: НизкийЧто вы можете построить
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.
Попробуйте эти промпты
Explain what the `start_at` field does in a dataset source. Compare `earliest` and `latest`, and state when each is appropriate.
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 a fan-out pipeline that sends one source to PostgreSQL, Kafka, and object storage. Explain the source, transforms, sink references, and sizing choices.
Review my multi-chain pipeline architecture. Compare one multi-source pipeline with separate per-chain pipelines, then identify checkpoint, resource, and failure-isolation concerns.
Лучшие практики
- 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.
Избегать
- 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.
Часто задаваемые вопросы
What does this skill cover?
Can it deploy my pipeline?
When should I choose a dataset source?
When should I choose Kafka?
How do I choose streaming or job mode?
Does it manage secrets?
Сведения для разработчиков
Автор
goldsky-ioЛицензия
MIT
Ревизия Skillstore
r1
Примечание о версии
Автор не указал версию.
Ссылка
8b5ad1599e7c55e9b6c627bca3f556f6e9061cb1
Актуальность поддержки
30.09.2026
Использование
0 загрузок · 0 просмотров
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