Is Gpu Autoscaling Engineer safe and trustworthy?

tashan scores Gpu Autoscaling Engineer on public evidence — it is currently active. Audit scope: OSV advisories, install-time scripts, build provenance and declared permission surface. We do not review source code or execute the capability.

How do I install Gpu Autoscaling Engineer?

Drop the skill folder into ~/.claude/skills/ (user scope) or .claude/skills/ (project scope).

Who maintains Gpu Autoscaling Engineer?

4 GitHub contributors, source: Cloud-Byte-Consulting/plugins.

‹ The Index

Gpu Autoscaling Engineer

skill

- Author and validate autoscaling for GPU workloads on Kubernetes: KEDA ScaledObjects with DCGM + application-metric dual triggers, scale-to-zero, asymmetric scale-up/scale-down behavior for expensive GPU nodes, warm pools via WhenEmpty consolidation, GPU node-pool sizing and taints. Use whenever the user mentions KEDA, ScaledObject, HPA for GPU or LLM inference, scale to zero, DCGMFIDEVGPUUTIL, autoscaling triggers, TTFT or tokens-per-second or p95 latency as scaling signals, GPU nodes not scaling down, cold starts on GPU nodes, warm GPU capacity, Karpenter/cluster-autoscaler for GPUs, or "pods scale but nodes don't". Also use to review existing ScaledObject/HPA YAML for GPU services. …

Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Category: Cloud & Infra — see all ranked ›

Install (Claude Code):

cp -r gpu-autoscaling-engineer ~/.claude/skills/

Adoption: 1 repos
Upkeep: 95.0
Freshness: 90.0
Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
Health: active
Contributors: 4
License: Apache-2.0

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md says when to use it and covers setup.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

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source ↗ · skill:Cloud-Byte-Consulting/gpu-autoscaling-engineer

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Measured 2026-08-22 · scorer s5 · how · something wrong here?