internal-medicine-pmph-10edition@1.0.2
CAUTION· static onlyPublisher claims: "432 项基于人民卫生出版社《内科学》第10版(五年制本科临床医学专业第十轮规划教材)的核心临床技能集合。 涵盖心血管、呼吸、消化、内分泌与代谢、肾脏、血液、风湿免疫、感染、中毒与理化损伤及肿瘤综合等亚专业领域。 当用户输入与内科学相关的临床问题(症状、疾病、检验异常、治疗方案、药物调整等)时,自动匹配并调用相应..." 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 2026-11-13 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. Notable findings: Latin word with Cyrillic or Greek look-alike letters (homoglyph); Latin word with Cyrillic or Greek look-alike letters (homoglyph); Latin word with Cyrillic or Greek look-alike letters (homoglyph). 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
μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.μmolFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.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 xllgreen: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.