Skill 审计报告

cuda-to-xpu-migration 审计报告.

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.

已阻止 · 阻止高风险生成于 2026年10月14日启发式元数据审计
66
审计
56
信任
57
质量
66
安全性
88
维护
92
安装

OpenAgentSkill 信任评分

56
需要高强度审查

OpenAgentSkill 信任评分

Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。

GitHub 采用度

失败

30

21 个 GitHub Stars

Star/Fork 活跃度

失败

32

21 个 Star,6 个 Fork; 当前元数据中没有议题活跃度信息

近期维护

通过

88

距上次推送 1 个月

许可证清晰度

通过

86

Apache-2.0

README/SKILL.md 完整度

信息

76

公开元数据需要更完整的 README/SKILL.md 上下文

依赖与运行时风险

失败

28

command execution surface, credential or environment access

安装可用性

通过

92

npx skills add intel/gpu-ai-skills --skill cuda-to-xpu-migration

安装命令安全性

通过

92

标准软件包或运行时安装路径

权限范围

失败

18

secrets or environment access, shell or command execution

仓库证据

通过

86

https://github.com/intel/gpu-ai-skills/tree/main/plugins/intel-gpu-ai-skills/skills/cuda-to-xpu-migration

审查状态

信息

66

可用 AI 审查数据

Agent 验证结果

信息

54

暂未有 Agent 结果数据

检查项

安装与采用审查

6 通过 · 17 需审查

安装路径

92

通过

npx skills add intel/gpu-ai-skills --skill cuda-to-xpu-migration

仓库

88

通过

https://github.com/intel/gpu-ai-skills/tree/main/plugins/intel-gpu-ai-skills/skills/cuda-to-xpu-migration

许可证

86

通过

Apache-2.0

维护

88

通过

距上次推送 1 个月

AI 审查

55

检查

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.

README/SKILL.md 完整度

84

通过

Usable description available

依赖风险

28

修复

command execution surface, credential or environment access

安装命令安全性

92

通过

标准软件包或运行时安装路径

权限范围

18

修复

secrets or environment access, shell or command execution

Star/Fork 活跃度

32

修复

21 个 Star,6 个 Fork; 当前元数据中没有议题活跃度信息

采用度

42

检查

21 个 GitHub Stars

警告

  • 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

方法

本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛;它不是完整的源代码安全审计。

对比相近选项

下一步可审计的相关 Skill