Skills/ClawHub/cross-model-shootout

cross-model-shootout@1.0.3

CAUTION

Publisher claims: "大模型横评对比 / 跨模型对比测试。当用户想比较多个大模型的真实表现时使用——比如「这几个模型哪个好」「帮我横评一下 DeepSeek 和 Qwen」「同一段 prompt 在多个模型上跑一遍看差异」「测一下各模型的延迟和成本」「选型时给点实测数据」。会在多个模型上真实发起调用,收集延迟、token 用量和成本,产出对比表和结论。触发词:模型对比、大模型横评、模型选型、模型跑分、prompt 测试、多模型评测、model comparison。" Observed in sandbox: static analysis only — behavior not yet observed.

Registry ClawHubPublisher lijinhongucl-pixel · joined 12 days agoInstalls 224Last detonated 5d ago

Is [email protected] safe to install?

KillerSkills analysed it statically (a sandbox run is pending) on 2026-10-29 and scored it 67/100 (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 only
t+CategoryObserved action

This 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 703 lines in 3 files.

What would make this Verified

13 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%
  1. Unclaimed publisher≈ +8 on the totalClaim lijinhongucl-pixel: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
  2. New publisher≈ +3 on the totalTime clears this on its own after 14 and 30 days. Claiming the handle (+50) is the fastest way past it.
Publish a new version to ClawHub, then queue it here. Not your skill? Claim the handle to get verdict changes by email.Claim lijinhongucl-pixel