ワンクリックで
dew-review-adversarial
Perform a critical adversarial review and produce a findings report.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Perform a critical adversarial review and produce a findings report.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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: