aks-gpu-inference

SAFE max severity SAFESkillSpector Caution 0 registry microsoft last scanned 1 scan

No security findings. Scanned 1 time, most recently 2026-10-22.

Second scanner: NVIDIA SkillSpector

SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.

What this skill does

Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).

Package
5 files, 12 KB
SKILL.md
334 words, 7 sections
Code
None. Instructions only.
License
MIT

SKILL.md covers: AKS GPU Inference Day-2 · Quick Reference · When to Use This Skill · MCP Tools · Host Capability Gate · Workflow · Error Handling

Findings

No findings. SAFE

What is in the package

FileKindSize
SKILL.mddoc3.0 KB
references/gpu-cost-and-scaling.mddoc1.6 KB
references/gpu-observability.mddoc2.7 KB
references/gpu-scheduling.mddoc3.2 KB
references/kaito-workspaces.mddoc1.8 KB

External hosts referenced

learn.microsoft.com docs.pytorch.org

Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.

Package contents recorded 2026-10-22 at commit f49ac319a7d3. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.

What we checked

What we did not check

Sources