stockstar-llm-ranking@1.0.2
CAUTION· static onlyPublisher claims: "查询大模型调用排行榜数据，数据来源证券之星科技频道（tech.stockstar.com）， 提供日榜和周榜两个周期，覆盖各主流大模型的调用量（Tokens）排名、 厂商（模型发布方）、变动百分比、涨跌方向和新上榜标记。 支持查看完整榜单、前 N 名、按模型/厂商搜索定位。 触发词：调用排行榜、排行榜、日榜、周榜、大模型、模型调用量、 Tokens、调用量、模型热度、厂商、模型发布方、DeepSeek、GPT、 Claude、Gemini、Kimi、GLM、MiniMax、OpenRouter、模型排名、llm ranking" 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 2026-11-08 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 749 lines in 7 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 stockstar1996: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.