private-lending-interest-calculator@1.0.0
CAUTION· static onlyPublisher claims: "当用户需要计算中国民间借贷案件中的借期内利息、逾期利息、违约金合并审查、砍头息、复利、还款冲抵、LPR四倍上限或生成正式利息计算书时使用。适用于 1991 年旧民间借贷意见、2015 年《民间借贷规定》的 24%/36% 规则，以及 2020 年后合同成立时 1 年期 LPR 四倍规则。典型触发词包括：民间借贷利..." 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 2026-11-15 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 1,312 lines in 6 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 coolalam: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.