스킬 turbo-operations
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turbo-operations

콘텐츠 리비전 r1 중간 위험 🌐 네트워크 접근⚙️ 외부 명령어📁 파일 시스템 접근

Manage Goldsky Turbo Pipeline Operations

Pipeline changes can reset checkpoints, and unfamiliar log errors can delay recovery. This skill provides lifecycle guidance, monitoring commands, and a pattern-based log analysis helper.

지원: Claude Codex Code(CC)
Maintain this Skill? Claim it 📊 68 적절함

내 에이전트로 설치

이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.

에이전트 요청
Review the Skillstore skill "turbo-operations" from https://skillstore.io/skills/goldsky-io-turbo-operations.md and its manifest at https://skillstore.io/api/skills/goldsky-io-turbo-operations/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

테스트해 보기

"turbo-operations" 사용 중입니다. Will deleting and recreating a streaming pipeline preserve its checkpoints?

예상 결과:

  • No. Deletion permanently removes checkpoints, even when you reuse the pipeline name.
  • Data already written to sinks remains.
  • Use apply for an in-place update when checkpoint preservation is required.

"turbo-operations" 사용 중입니다. A sanitized log sample contains password authentication failed and connection refused.

예상 결과:

  • Matched issues: database authentication failure and database or service connection failure.
  • Check the configured credentials, host, port, service availability, and firewall rules.
  • These matches suggest investigation steps; they do not prove a single root cause.
  • Do not place real passwords in shared logs or command arguments.

"turbo-operations" 사용 중입니다. Can I pause or restart a job-mode pipeline?

예상 결과:

  • Job-mode pipelines do not support pause, resume, or restart.
  • They process a bounded range and stop when complete.
  • Redeployment requires deletion first, or waiting for automatic cleanup after completion.
  • Confirm replay effects on sink data before another run.

보안 감사

중간 위험
v1 • 2026. 10. 19. 버전별 보고서 열기

All 69 static findings are false positives involving documentation, comments, arithmetic, or expected log retrieval. No evidence found of prompt injection, credential exfiltration, or hidden destructive execution. Credential examples nevertheless encourage command-line secret entry, which can expose passwords through shell history or process listings.

4
스캔된 파일
724
분석된 줄 수
0
검토 항목
0
오탐 무시됨

확인된 보안 우려 사항 (1)

중간
Credential Examples Expose Secrets Through Command Arguments
Examples place database passwords in connection URLs and secret values in CLI arguments. Following them can expose credentials through shell history or process listings.
The documented commands explicitly put credential placeholders in process arguments. Exposure depends on user execution and host protections; no actual credentials or exfiltration are present.
감사자: codex
이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기
보안 평가

보고서 링크 복사

https://skillstore.io/skills/goldsky-io-turbo-operations/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![Skillstore security assessment](https://skillstore.io/badges/skills/goldsky-io-turbo-operations/security.svg)](https://skillstore.io/skills/goldsky-io-turbo-operations?utm_source=security_passport_badge)

HTML 배지

<a href="https://skillstore.io/skills/goldsky-io-turbo-operations?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/goldsky-io-turbo-operations/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

임베드 카드

<iframe src="https://skillstore.io/embed/skills/goldsky-io-turbo-operations.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
학술 인용 (APA · BibTeX · CFF)

APA 인용

goldsky-io. (2026). turbo-operations security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/goldsky-io-turbo-operations/audits/1

BibTeX 인용

@techreport{goldsky-io-goldsky-io-turbo-operations-2026, author = {goldsky-io}, title = {turbo-operations security audit report (audit version 1)}, institution = {Skillstore}, year = {2026}, number = {1}, url = {https://skillstore.io/skills/goldsky-io-turbo-operations/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-operations security audit report (audit version 1)" version: "unspecified" type: report authors: - name: "goldsky-io" date-released: "2026-10-19" url: "https://skillstore.io/skills/goldsky-io-turbo-operations/audits/1" identifiers: - type: other value: "skillstore:goldsky-io-turbo-operations:audit:1" description: "Skillstore immutable audit report identifier"

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간
45
아키텍처
85
유지보수성
87
콘텐츠
65
커뮤니티
91
사양 준수

만들 수 있는 것

Plan a Checkpoint-Preserving Update

Compare pause, restart, apply, and delete behavior before changing a streaming pipeline.

Triage Pipeline Log Errors

Analyze a limited log sample for authentication, connectivity, storage, configuration, and resource problems.

Understand Batch Job Redeployment

Review job-mode lifecycle restrictions and cleanup behavior before planning another batch run.

이 프롬프트를 사용해 보세요

Understand Pipeline States
Explain running, paused, stopped, error, and completed states in Goldsky Turbo. Compare streaming pipelines with job-mode pipelines.
Choose a Safe Lifecycle Operation
Compare pause, restart, apply, and delete for my streaming pipeline. Explain checkpoint effects. Ask for its name before proposing commands.
Interpret Sanitized Logs
Analyze this sanitized Turbo log sample using the bundled error catalog. Separate matched errors, possible causes, and unverified hypotheses. Do not execute repairs.
Plan a Controlled Job Redeployment
Plan redeployment of my completed job-mode pipeline. Verify cleanup status, checkpoint consequences, and sink replay risks. Require approval before deletion or applying changes.

모범 사례

  • Confirm the project, pipeline name, mode, and checkpoint consequences before approving any lifecycle change.
  • Use limited, sanitized log samples and protect credentials from shell history, process arguments, and shared transcripts.
  • Treat pattern matches as investigation leads, and verify causes before changing resources, secrets, network settings, or pipeline configuration.

피하기

  • Deleting or clearing pipeline state as a routine first troubleshooting step without reviewing replay consequences.
  • Treating an absence of matched errors as proof that a pipeline is healthy.
  • Copying real passwords into connection URLs, CLI arguments, or shared diagnostic prompts.

자주 묻는 질문

Which AI tools can use this skill?
The skill is listed for Claude, Codex, and Claude Code. Executing the helper also requires a Bash-compatible environment.
Does the helper need live Goldsky access?
Only when fetching logs by pipeline name. It can also analyze supplied logs through standard input without fetching them.
Does deleting a pipeline remove sink data?
The reference states that sink data remains, but pipeline checkpoints are permanently removed. Recreating the same name does not recover them.
Can job-mode pipelines pause or restart?
No. The reference describes job-mode pipelines as bounded runs that require deletion before redeployment, or waiting for automatic cleanup.
Does log analysis automatically repair problems?
No. The helper prints matched issues, recommendations, and health indicators. It does not update secrets, change resources, or repair pipelines.
What should I remove before sharing logs?
Remove passwords, tokens, connection strings, and sensitive records. Avoid credential-bearing command arguments because shell history and process listings can expose them.

개발자 세부 정보

작성자

goldsky-io

라이선스

MIT

Skillstore 리비전

r1

버전 안내

작성자가 버전을 선언하지 않았습니다.

참조

e55d2ee990eba40025cfd5489ed241888e23ad0a

유지보수 최신성

2026. 10. 19.

사용량

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