adversarial-robustness@1.0.0
CAUTION· static onlyPublisher claims: "对抗鲁棒性：主动对文本决策系统施加字符/词级对抗扰动，量化并加固其抗欺骗能力。 提供扰动生成(形近字/插空格/重复字符/同形 Unicode)、鲁棒性评分(1-翻转率)与 "先评估后加固"的闭环，纯标准库可本地实跑，是"可靠地超越一线大模型"的防骗守门层。" 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 2026-11-09 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 475 lines in 5 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 qq435912743: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.