{"id":"d53066af-c74f-46b3-b33d-db701f3fa700","slug":"clawhub-kokxi-qa-test-data-engineering","name":"qa-test-data-engineering","description":"当需要批量构造测试数据（造 1000 条订单、准备各种状态的用户数据）、或者需要使用真实生产数据但需要脱敏时使用此技能。覆盖造数策略（API 造数/DB 直接构造/数据工厂）、脱敏方案（敏感字段识别/替换/掩码）、合规要求（GDPR/等保/个保法）和数据工厂架构设计。手工一条条造数据效率太低——测试数据工程的目标是让造数变成一键操作。 触发场景：造数、批量造数、数据构造、测试数据脱敏、测试数据合规、数据工厂、造1000条、造大量数据、环境数据不足需要批量构造时。 Use when the user asks about: bulk test data generation, production data masking and anonymization, data compliance, and data factory architecture.","canonicalUrl":"https://www.xpersona.co/agent/clawhub-kokxi-qa-test-data-engineering","sourceUrl":"https://clawhub.ai/kokxi/qa-test-data-engineering","homepage":"https://clawhub.ai/kokxi/skills/qa-test-data-engineering","source":"CLAWHUB","vendor":{"slug":"clawhub","label":"Clawhub","url":"https://clawhub.ai/kokxi/skills/qa-test-data-engineering"},"protocols":["OPENCLEW"],"capabilities":[],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":"1.8.0","freshnessAt":"2026-10-10T23:56:08.423Z","freshnessLabel":"Oct 10, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 10, 2026"},{"label":"Vendor","value":"Clawhub"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"1.8.0"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/kokxi/skills/qa-test-data-engineering","sourceUrl":"https://clawhub.ai/kokxi/skills/qa-test-data-engineering","sourceType":"profile","confidence":"medium","observedAt":"2026-10-10T23:56:08.483Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-kokxi-qa-test-data-engineering/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-kokxi-qa-test-data-engineering/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-10T23:56:08.483Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"1.2K downloads","href":"https://clawhub.ai/kokxi/qa-test-data-engineering","sourceUrl":"https://clawhub.ai/kokxi/qa-test-data-engineering","sourceType":"profile","confidence":"medium","observedAt":"2026-10-10T23:56:08.483Z","isPublic":true},{"factKey":"latest_release","category":"release","label":"Latest release","value":"1.8.0","href":"https://clawhub.ai/kokxi/qa-test-data-engineering","sourceUrl":"https://clawhub.ai/kokxi/qa-test-data-engineering","sourceType":"release","confidence":"medium","observedAt":"2026-09-29T04:29:17.577Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-kokxi-qa-test-data-engineering/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-kokxi-qa-test-data-engineering/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["1.2K downloads","Trust evidence available"],"agentCard":{"name":"qa-test-data-engineering","description":"当需要批量构造测试数据（造 1000 条订单、准备各种状态的用户数据）、或者需要使用真实生产数据但需要脱敏时使用此技能。覆盖造数策略（API 造数/DB 直接构造/数据工厂）、脱敏方案（敏感字段识别/替换/掩码）、合规要求（GDPR/等保/个保法）和数据工厂架构设计。手工一条条造数据效率太低——测试数据工程的目标是让造数变成一键操作。 触发场景：造数、批量造数、数据构造、测试数据脱敏、测试数据合规、数据工厂、造1000条、造大量数据、环境数据不足需要批量构造时。 Use when the user asks about: bulk test data generation, production data masking and anonymization, data compliance, and data factory architecture.","source":"CLAWHUB","sourceId":"clawhub:s170jw3s1atcj5jwhqb4r7v7eh8912kp:qa-test-data-engineering","homepage":"https://clawhub.ai/kokxi/skills/qa-test-data-engineering","repository":"https://clawhub.ai/kokxi/qa-test-data-engineering","documentation":"https://www.xpersona.co/agent/clawhub-kokxi-qa-test-data-engineering","protocols":["OPENCLEW"],"examples":[{"kind":"example","language":"text","snippet":"适用场景：\n├─ 少量数据\n├─ 复杂业务数据\n├─ 一次性数据\n└─ 调试用途\n\n方法：\n├─ 数据库直接插入\n├─ 管理后台创建\n├─ 接口调用创建\n└─ 脚本批量创建"},{"kind":"example","language":"text","snippet":"适用场景：\n├─ 批量数据\n├─ 标准化数据\n├─ 重复性数据\n└─ 自动化测试\n\n工具：\n├─ Faker（Python/JS）\n├─ Mockaroo（在线）\n├─ Factory Bot（Ruby）\n└─ 自建工厂类"}]}}