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".

설치로 이동

저장소: kshetrajna12/sparkstation
최근 소스 활동: 2026년 3월 15일 21:26
감지된 SKILL.md 언어: 영어
스타: 6
포크: 1

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.

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

명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.

로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

파일 탐색기

2 개 파일

SKILL.md

소스 지침 · 읽기 전용 미리보기

검색으로 돌아가기 설치로 돌아가기

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

이 저장소의 모든 Skills 보기

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