Informe de auditoría del skill
cuda-to-xpu-migration Informe de auditoría.
Create a CUDA-to-XPU migration assessment for an existing AI repo. Identify CUDA-specific assumptions, route to the right XPU skills, produce a migration report. Use when the user has a CUDA repo, notebook, Dockerfile, launch script, HF / vLLM / SGLang workload, or Triton kernel and asks to migrate it to Intel Arc / Arc Pro / Battlemage / XPU — including "convert this to XPU" / "move it to XPU" and the bare "migrate this repo" request where scope is not yet set. A request that says "port" routes to xpu-port. Plans and routes only. Not for executing an already-scoped rewrite (use xpu-port), running migrated code, or measuring it.
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
Fallido30
21 estrellas de GitHub
Actividad de stars/forks
Fallido32
21 estrellas y 6 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
Apache-2.0
Completitud de README/SKILL.md
Info76
Los metadatos públicos necesitan más contexto de README/SKILL.md
Riesgo de dependencias/runtime
Fallido28
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add intel/gpu-ai-skills --skill cuda-to-xpu-migration
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido18
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/intel/gpu-ai-skills/tree/main/plugins/intel-gpu-ai-skills/skills/cuda-to-xpu-migration
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 intel/gpu-ai-skills --skill cuda-to-xpu-migration
Repositorio
88
https://github.com/intel/gpu-ai-skills/tree/main/plugins/intel-gpu-ai-skills/skills/cuda-to-xpu-migration
Licencia
86
Apache-2.0
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
The skill references several sibling skills by name (xpu-port, torch-xpu-run, xpu-container-run, etc.) but does not document how an agent should discover, load, or confirm availability of those skills before routing to them.
Completitud de README/SKILL.md
84
Usable description available
Riesgo de dependencias
28
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
18
secrets or environment access, shell or command execution
Actividad de stars/forks
32
21 estrellas y 6 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
42
21 estrellas de GitHub
Advertencias
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- The skill references several sibling skills by name (xpu-port, torch-xpu-run, xpu-container-run, etc.) but does not document how an agent should discover, load, or confirm availability of those skills before routing to them.
- The skill instructs cloning a remote repository for assessment, which is safe because it does not execute the cloned code, but there is no explicit guidance about cleaning up the scratch clone after the assessment.
- Low GitHub adoption signal
- 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: secrets or environment access, shell or command execution
- GitHub adoption: 21 GitHub stars
- Stars/forks activity: 21 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment 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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