qa-test-data-engineering@1.8.0
CAUTIONPublisher claims: "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." Observed in sandbox: static analysis only — behavior not yet observed.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-10-29 and scored it 69/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
No other findings across 320 lines in 3 files.
What would make this Verified
11 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim kokxi: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- npx invocation of non-well-known package≈ +2 on the totalPin versions and sources; vendor anything fetched at install time.