Informe de auditoría del skill
paperFig Informe de auditoría.
Design, implement, revise, and validate publication-quality scientific figures from references, existing plotting code, and real project data. Trace every figure to source code and inputs; deconstruct reference figures; plan the scientific story and multi-panel structure; build complex model architecture and statistical panels; enforce a consistent visual system; and render-verify PDF/SVG/PNG outputs. Use for 科研配图, 论文配图, 找图的源代码, 参考图复刻与改造, 模型框架图, 多面板主图, figure redesign, or standardizing a research-figure process.
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
Aprobado94
5.1K estrellas de GitHub
Actividad de stars/forks
Aprobado82
5.1K estrellas y 200 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
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Advertencia54
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add WUBING2023/PaperSpine --skill paperFig
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido36
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/WUBING2023/PaperSpine/tree/main/paperspine5/core/02_PaperFigure/02_paperFig_skill
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 WUBING2023/PaperSpine --skill paperFig
Repositorio
88
https://github.com/WUBING2023/PaperSpine/tree/main/paperspine5/core/02_PaperFigure/02_paperFig_skill
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
The submitted skill directory references mandatory files that are not present in the provided file list: references/research-figure-process.md, references/reference-deconstruction.md, references/architecture-and-multipanel-design.md, references/scientific-visual-qa.md, scripts/inspect_figure_project.py, and figmirror.py. If these are not packaged with the skill, the workflow cannot run as documented.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
54
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
36
secrets or environment access, shell or command execution
Actividad de stars/forks
82
5.1K estrellas y 200 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
88
5.1K estrellas de GitHub
Advertencias
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The submitted skill directory references mandatory files that are not present in the provided file list: references/research-figure-process.md, references/reference-deconstruction.md, references/architecture-and-multipanel-design.md, references/scientific-visual-qa.md, scripts/inspect_figure_project.py, and figmirror.py. If these are not packaged with the skill, the workflow cannot run as documented.
- SKILL.md does not document dependencies or setup requirements (e.g., matplotlib, numpy, Pillow, PDF and spreadsheet tooling). A user or agent cannot reliably reproduce the environment.
- The skill instructs the agent to execute or inspect existing plotting code and project artifacts, but it does not explicitly state safe execution boundaries for untrusted code, reference files, or downloaded content.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- 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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