Informe de auditoría del skill
ml-paper-writing Informe de auditoría.
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.
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
Aprobado86
1.4K estrellas de GitHub
Actividad de stars/forks
Info77
1.4K estrellas y 97 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
MIT
Completitud de README/SKILL.md
Aprobado94
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Info64
command execution surface, network or browser surface
Disponibilidad de instalación
Aprobado92
npx skills add OpenRaiser/NanoResearch --skill ml-paper-writing
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/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/ml-paper-writing
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 OpenRaiser/NanoResearch --skill ml-paper-writing
Repositorio
88
https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/ml-paper-writing
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
The skill relies on external MCP servers and APIs (Exa, Semantic Scholar, arXiv, Crossref) without explicit installation instructions or version pinning for dependencies.
Completitud de README/SKILL.md
94
Usable description available
Riesgo de dependencias
64
command execution surface, network or browser 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
77
1.4K estrellas y 97 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
88
1.4K estrellas de GitHub
Advertencias
- Permission surface may require sandboxing
- The skill relies on external MCP servers and APIs (Exa, Semantic Scholar, arXiv, Crossref) without explicit installation instructions or version pinning for dependencies.
- There is no explicit limitations section in SKILL.md clarifying boundaries such as venue policy changes, human oversight, or ethical review responsibilities.
- Dependencies are listed as Python package names but the skill does not provide setup commands, API key guidance, or failure handling for unavailable APIs.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Permission surface: shell or command execution, filesystem or document access
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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