Informe de auditoría del skill
quant-buddy-view Informe de auditoría.
QBV / quant-buddy-view（用户可能写成 /quant-buddy-view、/qbv、qbv 或 QBV）用于把量化数据做成「公开可分享、实时取数」的网页看板/落地页。 Use this skill when the user asks to create, update, publish, verify, retrofit, or reuse a Quant Buddy dashboard/static page/template, including shareable pages, public URLs, formula packages, share shell, cover/essence cards, poster/share behavior, single-stock profile pages, valuation/financial profile pages, index-anomaly boards, multi-factor screeners, and commodity daily pages. 配合 quant-buddy-skill 使用：简单单一 A 股综合分析可在 trace begin 后直接用 static_page.py new_asset_page 返回实时页面；用户给出既有 QuantBuddy 活页 URL 并要求解读时，直接用 static_page.py interpret 读取该页实时数据，不下载 HTML、不暴露签名，也不进入模板或建页流程；其他固定页面请求先用 templates/template 选择带 recommend 标签的在线范式页。自建实时页先按数据性质选择通道：普通行情、估值和财务优先 Data Grant，自定义计算才验证并注册 Formula Package；两类凭证可在同页混用，随后替换凭证/文案、浏览器验收并发布。默认不从本地历史样板目录或低质 HTML 骨架起步。 用户显式唤起 /quant-buddy-view、/qbv、qbv 或 QBV，且请求不是纯咨询/代码维护/文档解释时，默认视为可分享活页任务：简单单一 A 股分析走 new_asset_page 快速终态；其余请求查官方精选+社区范式卡判定 direct/fork/unmatched。默认 dire
Trust Score de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Advertencia48
45 estrellas de GitHub
Actividad de stars/forks
Advertencia43
45 estrellas y 8 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
1 meses desde el último push
Claridad de licencia
Aprobado86
MIT
Completitud de README/SKILL.md
Info76
Los metadatos públicos necesitan más contexto de README/SKILL.md
Riesgo de dependencias/runtime
Advertencia46
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add pseudo-longinus/quant-buddy-view --skill quant-buddy-view
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido22
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/pseudo-longinus/quant-buddy-view/tree/main/skills/quant-buddy-view
Estado de revisión
Aprobado88
Hay datos de revisión por IA disponibles
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add pseudo-longinus/quant-buddy-view --skill quant-buddy-view
Repositorio
88
https://github.com/pseudo-longinus/quant-buddy-view/tree/main/skills/quant-buddy-view
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
88
Approved with no listed issues
Completitud de README/SKILL.md
84
Usable description available
Riesgo de dependencias
46
command execution surface, credential or environment access
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
22
secrets or environment access, shell or command execution
Actividad de stars/forks
43
45 estrellas y 8 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
42
45 estrellas de GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Advertencias
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 45 GitHub stars
- Stars/forks activity: 45 stars, 8 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Método
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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