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dew-review-edge-case-hunter
Walk branching paths and boundary conditions in content, reporting only unhandled edge cases.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Walk branching paths and boundary conditions in content, reporting only unhandled edge cases.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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-edge-case-hunter |
| description | Walk branching paths and boundary conditions in content, reporting only unhandled edge cases. |
Goal: Find unhandled edge cases by systematically walking branches and boundaries.
Do not comment on whether the content is generally good or bad. Report only missing handling.
content — diff, full file, function, spec, story, or data artifact.also_consider optional — specific risk areas to include.Walk:
For DEW/data engineering artifacts, also walk:
Revisit each edge class and keep only unhandled conditions.
Return a JSON array of objects:
[
{
"location": "artifact or file section",
"trigger_condition": "short edge condition",
"guard_snippet": "minimal guard or mitigation",
"potential_consequence": "what could go wrong"
}
]
An empty array is valid only after exhaustive review.