test-data-forge-en

簡介

Test data is either too little or privacy-laden. This skill批次 makes boundary-complete, maskable data by field rules.

我能做什麼

• 🎲 Batch-generate by constraints.（交付：Data rows）
• 🔳 Cover equivalence & boundaries.（交付：Edge set）
• 🕵️ Mask sensitive fields.（交付：Masked samp）
• 🧬 Support related-data consistency.（交付：Relational）

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• 📋 Give coverage checklist.（交付：Cover list）
• 🧪 Provide assertion points.（交付：Assert pts）

我不能做什麼

• Does not use real production data.
• No guarantee of real business distribution.
• Does not handle human-labeled data.

觸發詞（≥10 個）

• "test data"
• "data gen"
• "test sample"
• "boundary"
• "synthetic"
• "mock data"
• "test set"
• "data generate"
• "equivalence"
• "case data"

輸入規範

• 必填項：Fields and constraints (type/range/required).
• 可選項：Rows / mask needed.
• 輸入格式示例：User: name, age(0-120), email.

輸出規範（結構化交付物）

• 輸出包含：Data rows、Edge set、Masked、Relational、Cover list
• 欄位說明：field=f; rule=r; edge=e; mask=m; cover=c.
• 模板片段：

  <pre class='td'>{data_rows}</pre>

使用示例（≥3 個）

示例 1：User table

輸入：age 0-120 輸出：Includes 0/120/mid; email masked a***@x.

示例 2：Boundary

輸入：cover 輸出：Equivalence: valid/invalid groups.

示例 3：Relational

輸入：order-user 輸出：FK consistent, user_id aligned.

異常處理

• Missing constraints: returns required hint.
• Real data input: reminds to use synthetic.
• Out of scope: states boundary.

限制與免責宣告

• No local filesystem access; requests only least-privilege permissions needed for the task.
• Does not collect sensitive user data (secrets, passwords, personal privacy).
• Output is a structured reference artifact, not professional legal/financial/medical advice.
• All examples are generated in a sandbox semantic; no real external write operations.
• Usable in domestic network environments; no reliance on blocked overseas services.

升級版規劃（Pay Skill 預留）

Upgrade to paid once the creator billing channel opens. Free (published, fully usable): 生成合規測試資料集。 Pro (paid upgrade): 提供邊界值、等價類與脫敏合成數據。 Upgrade path: Once the creator billing channel opens, this skill flips to Pro billing with no SKILL.md edit.

這個工具質量中等偏下。優點是功能說明清晰、示例充分、異常處理完善，能滿足基礎的測試資料生成需求。但存在語法問題導致理解困難，缺少詳細的使用指南，且內容較為簡略。對於需要複雜測試資料的使用者來說，文件支援可能不夠充分。