pipl-guard@1.0.0
CAUTION· static onlyPublisher claims: "PIPL 运行时护栏 (pipl-guard) v1.0.0。 在 AI 应用的输入/输出链路中实时检测个人信息，按风险分级 执行脱敏或阻断，供 Agent 主动调用。区别于事后审计，这是事中防护。 Use when: 需要在 Agent 处理用户输入或返回结果前，实时拦截/脱敏 个人信息；防止敏感数据流入大模型或被输出泄露；为 AI 应用加装 符合《个人信息保护法》的运行时护栏。 核心能力： - 🛡️ 实时检测中国大陆身份证、手机号、银行卡、护照、车牌、 邮箱、IP/MAC 等结构化个人信息（含 Luhn / 身份证校验位校验） - 🧩 关键词线索识别（生物识别、医疗健康、行踪轨" Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-10 and scored it 71/100 (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 findings across 721 lines in 9 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
9 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim wwumit: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.