Rapport d’audit du skill
cuda-to-xpu-migration Rapport d’audit.
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 OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Échoué30
21 stars GitHub
Activité stars/forks
Échoué32
21 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
Apache-2.0
Complétude README/SKILL.md
Info76
Les métadonnées publiques nécessitent davantage de contexte README/SKILL.md
Risque dépendances/runtime
Échoué28
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add intel/gpu-ai-skills --skill cuda-to-xpu-migration
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué18
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/intel/gpu-ai-skills/tree/main/plugins/intel-gpu-ai-skills/skills/cuda-to-xpu-migration
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add intel/gpu-ai-skills --skill cuda-to-xpu-migration
Dépôt
88
https://github.com/intel/gpu-ai-skills/tree/main/plugins/intel-gpu-ai-skills/skills/cuda-to-xpu-migration
Licence
86
Apache-2.0
Maintenance
88
1 mois depuis le dernier push
Revue 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.
Complétude README/SKILL.md
84
Usable description available
Risque de dépendances
28
command execution surface, credential or environment access
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
18
secrets or environment access, shell or command execution
Activité stars/forks
32
21 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
21 stars GitHub
Avertissements
- 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
Méthode
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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