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 a la instalación

Repositorio: kshetrajna12/sparkstation
Última actividad en el origen: 15 de marzo de 2026 a las 21:26
Idioma detectado de SKILL.md: inglés
Estrellas: 6
Forks: 1

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

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

El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.

¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

Explorador de archivos

2 archivos

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

Volver a la búsqueda Volver a la instalación

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 todos los de este repositorio

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