xg-factor-analysis@1.0.0
CAUTION· static onlyPublisher claims: "小果量化因子分析系统助手,作者(微信:xg_quant)基于 Alphalens 和自定义分析框架，提供因子数据清洗、IC分析、分层收益、多空组合、换手率、Fama-MacBeth回归、综合评分等完整因子评价功能。 触发关键词：因子分析、因子评价、Alphalens、IC分析、分层收益、多空组合、因子回测、因子评分、xg_alphalens、量化因子、因子有效性。" 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 2026-11-07 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 23,654 lines in 23 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 li152: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.