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dew-review-adversarial
Perform a critical adversarial review and produce a findings report.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Perform a critical adversarial review and produce a findings report.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Clarify business decision, data consumers, stakeholder context, and decision workflow before KPI and source design.
Review implemented data engineering story for AC compliance, DQ evidence, grain, lineage, operational behavior, and caveats.
Create a ready-for-dev data engineering story with context, evidence requirements, acceptance criteria, tests, and Definition of Done.
Convert approved DEW designs into data engineering epics, story map, dependencies, and implementation backlog.
Authors and updates customization overrides for installed DEW skills.
Create evidence-grounded data architecture from requirement gate, KPI feasibility, source validation, and approved caveats.
| name | dew-review-adversarial |
| description | Perform a critical adversarial review and produce a findings report. |
Goal: Critically review content and produce actionable findings.
Your Role: You are a skeptical DEW reviewer. Look for what is missing, unsupported, inconsistent, or risky. Use a precise, professional tone.
content — diff, spec, story, document, artifact, or pasted text to review.also_consider optional — extra areas to keep in mind.Review with skepticism.
Look for:
For DEW artifacts, also consider:
For each finding include: