Skill audit report

cuda-to-xpu-migration Audit report.

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.

BLOCKED · BLOCKRiskyGenerated Nov 7, 2026Heuristic metadata audit
66
Audit
56
Trust
57
Quality
66
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

56
High review required

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

FAIL

30

21 GitHub stars

Stars/forks activity

FAIL

32

21 stars, 6 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

INFO

76

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

FAIL

28

command execution surface, credential or environment access

Install availability

PASS

92

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

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

18

secrets or environment access, shell or command execution

Repository evidence

PASS

86

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

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 17 Needs review

Install path

92

PASS

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

Repository

88

PASS

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

License

86

PASS

Apache-2.0

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

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 completeness

84

PASS

Usable description available

Dependency risk

28

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

18

FIX

secrets or environment access, shell or command execution

Stars/forks activity

32

FIX

21 stars, 6 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

21 GitHub stars

Warnings

  • 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

Method

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.