sparkstation-diagnose

One-command health check for Sparkstation. Shows GPU status, model states, container health, recent log errors, memory usage, and thermal status. Use when asked to "diagnose", "check health", "what's wrong", "system status", or "why is X slow/broken".

Ir para a instalação

Repositório: kshetrajna12/sparkstation
Última atividade na origem: 15 de março de 2026 às 21:26
Idioma detectado do SKILL.md: inglês
Estrelas: 6
Forks: 1

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.

npx skills add https://github.com/kshetrajna12/sparkstation --skill sparkstation-diagnose

O comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.

Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.

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Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

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SKILL.md

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sparkstation-deploy

Safe deployment operations for Sparkstation. Profile switching with drain/health-check, rolling model updates, Docker image rebuilds, full stop/start, and rollback. Use when asked to "deploy", "switch profile", "restart sparkstation", "update model", "rebuild container", or "rollback".

2026-03-16

sparkstation-bench

Benchmark inference throughput and latency for Sparkstation models. Measures TTFT, tokens/sec, p50/p95/p99 latency, and embedding throughput. Use when asked to "benchmark", "measure latency", "test throughput", or "profile inference performance".

2026-03-15

sparkstation-config-lint

Validate models.yaml profiles for correctness, consistency, and resource feasibility. Checks memory limits, alias collisions, required args, backend compatibility. Use when asked to "lint config", "validate models.yaml", "check config", or before deploying a new profile.

2026-03-15

Ver todas deste repositório

Sparkstation Diagnose

Comprehensive system health check in a single command.

Usage

# Full diagnostic report python3 .pi/skills/sparkstation-diagnose/scripts/diagnose.py # Quick status only (no log analysis) python3 .pi/skills/sparkstation-diagnose/scripts/diagnose.py --quick # JSON output for programmatic use python3 .pi/skills/sparkstation-diagnose/scripts/diagnose.py --json # Check specific component python3 .pi/skills/sparkstation-diagnose/scripts/diagnose.py --component gpu python3 .pi/skills/sparkstation-diagnose/scripts/diagnose.py --component models python3 .pi/skills/sparkstation-diagnose/scripts/diagnose.py --component containers python3 .pi/skills/sparkstation-diagnose/scripts/diagnose.py --component logs python3 .pi/skills/sparkstation-diagnose/scripts/diagnose.py --component gateway

What It Checks

GPU: Memory usage, temperature, power draw, utilization, thermal warnings

Supervisor: Health endpoint, running/failed/suspended model counts

Models: Per-model status, health, idle time, memory allocation vs actual

Containers: Docker container status, restarts, resource usage

Gateway: LiteLLM health, registered models, routing status

Logs: Recent errors/warnings from sparkstation.log (last 100 lines)

Resources: Memory allocation vs limits, port usage, disk space for models

Output

Color-coded terminal output with ✅/⚠️/❌ indicators:

═══ SPARKSTATION DIAGNOSTICS ═══ GPU STATUS ✅ OK Memory: 45.2 / 128.0 GiB (35.3%) Temperature: 52°C (threshold: 80°C) Power: 180W / 400W SUPERVISOR ✅ OK Status: healthy Models: 4 running, 0 suspended, 0 failed MODELS ✅ qwen3-vl-30b RUNNING port:8001 mem:55.0GB idle:42s ✅ bge-m3 RUNNING port:8002 mem:2.5GB idle:15s ✅ clip-vit RUNNING port:8003 mem:5.0GB idle:30s ❌ flux-dev FAILED port:8004 mem:35.0GB CONTAINERS ✅ sparkstation-qwen3-vl-30b Up 2 hours restarts:0 ✅ sparkstation-bge-m3 Up 2 hours restarts:0 ⚠️ sparkstation-flux-dev Exited (1) restarts:3 RECENT ERRORS (last 15min) [14:32:01] ERROR: Failed to health-check flux-dev: Connection refused [14:31:45] ERROR: Container sparkstation-flux-dev exited unexpectedly