Informe de auditoría del skill
joinquant-skill Informe de auditoría.
Generate accurate, runnable quantitative strategy code for the JoinQuant (聚宽) platform. Use this skill when the user asks to write a stock/ETF/futures backtest, paper-trading, or live-trading strategy on JoinQuant — the skill provides progressive-disclosure access to the complete JoinQuant API knowledge base (14 categories, 294KB official docs), 5 production-ready strategy templates (single-stock MA, multi-factor, ETF rotation, momentum, mean-reversion), and a lint tool that catches hallucinated APIs, future-function violations, and unset price-mode/slippage/commission. Chinese-friendly. Code generated by this skill should paste directly into the JoinQuant online editor without modification.
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
75 estrellas de GitHub
Actividad de stars/forks
Advertencia48
75 estrellas y 17 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
2 meses desde el último push
Claridad de licencia
Aprobado86
NOASSERTION
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Advertencia54
command execution surface, external package install surface
Disponibilidad de instalación
Aprobado92
npx skills add gaaiyun/joinquant-skill --skill joinquant-skill
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Advertencia48
shell or command execution, filesystem or document access
Evidencia del repositorio
Aprobado86
https://github.com/gaaiyun/joinquant-skill/blob/main/SKILL.md
Estado de revisión
Info66
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 gaaiyun/joinquant-skill --skill joinquant-skill
Repositorio
88
https://github.com/gaaiyun/joinquant-skill/blob/main/SKILL.md
Licencia
86
NOASSERTION
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
Repository license is NOASSERTION; no clear open-source license is specified.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
54
command execution surface, external package install surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
48
shell or command execution, filesystem or document access
Actividad de stars/forks
48
75 estrellas y 17 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
75 estrellas de GitHub
Financial decision safety
20
Potential execution surface detected; do not connect live broker, exchange, wallet, or payment credentials.
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
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- Repository license is NOASSERTION; no clear open-source license is specified.
- SKILL.md references official JoinQuant documentation but does not clarify whether any copyrighted material is included or how it is attributed.
- Financial research output is not financial advice; require human review before any live investment decision.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 75 GitHub stars
- Stars/forks activity: 75 stars, 17 forks; issue activity unavailable in current metadata
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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