lgd-three-laws-auditor@1.0.7
VERIFIEDPublisher claims: "当用户问『我的 AI 系统合不合规 / 怎么评判 AI 治理水平 / agent 要不要上治理护栏』,或要落地『有籍·有证·有门禁』时用。把 LGD 三律做成一套可自评的标准 rubric(有籍=身份/版本/血缘/责任四项登记;有证=六类证据工件齐备;有门禁=触发/评审/放行/复盘四道门),输入系统描述即出评分卡+改进项。这不仅是工具,更是 LGD 治理思想的『定义器』——谁用三籍词汇自评,谁就采用了我们的治理定义权(竞争优势)。触发词:LGD 三律、有籍有证有门禁、凡自治之物、AI 合规自评、AI 治理标准、agent 治理护栏、三律审计。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-11-06 and scored it 88/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
No other findings across 456 lines in 7 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.