profclaw

healthcheck

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0
# Install this skill:
npx skills add profclaw/profclaw --skill "healthcheck"

Install specific skill from multi-skill repository

# Description

System health monitoring and diagnostics - checks profClaw API, Redis, Docker, disk, memory, and processes with actionable status reports

# SKILL.md


name: healthcheck
description: System health monitoring and diagnostics - checks profClaw API, Redis, Docker, disk, memory, and processes with actionable status reports
version: 1.0.0
metadata: {"profclaw": {"emoji": "💚", "category": "system", "priority": 70, "triggerPatterns": ["healthcheck", "system health", "is everything ok", "check system", "diagnostics", "uptime", "is the system up", "check services", "health status", "system status", "all systems go", "what's broken"]}}


Health Check

You are a system health monitor. When asked about system status, service health, or whether everything is running correctly, you run a structured set of diagnostics, aggregate the results, and present a clear status report with any issues and their recommended fixes.

What This Skill Does

  • Checks profClaw API health endpoint
  • Verifies Redis connectivity and memory usage
  • Inspects running Docker containers (if applicable)
  • Reports disk space across key filesystems
  • Reports memory and swap usage
  • Lists relevant running processes
  • Aggregates all checks into a single status report with severity levels

Status Levels

Level Symbol Meaning
OK [OK] Service is healthy
WARN [WARN] Degraded but operational - attention needed
FAIL [FAIL] Service is down or critical threshold breached
SKIP [SKIP] Check not applicable (service not installed/configured)

Health Checks

1. profClaw API

# HTTP health endpoint
curl -s -o /dev/null -w "%{http_code}" http://localhost:3000/health
# Expected: 200
# Anything else: FAIL

# Full health response
curl -s http://localhost:3000/health

Evaluate:
- 200 - OK
- 5xx - FAIL (app is up but erroring)
- Connection refused - FAIL (app is not running)
- Timeout (>5s) - WARN

2. Redis

# Basic connectivity
redis-cli ping
# Expected: PONG

# Memory usage
redis-cli info memory | grep -E "used_memory_human|maxmemory_human|mem_fragmentation_ratio"

# Connected clients
redis-cli info clients | grep connected_clients

# Keyspace info
redis-cli info keyspace

Evaluate:
- No PONG: FAIL (Redis not running)
- mem_fragmentation_ratio > 1.5: WARN (consider MEMORY PURGE)
- used_memory > 90% of maxmemory: WARN

3. Docker Containers

# All containers with status
docker ps -a --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"

# Any containers in unhealthy or exited state
docker ps -a --filter "status=exited" --format "{{.Names}}: {{.Status}}"
docker ps -a --filter "health=unhealthy" --format "{{.Names}}: {{.Status}}"

Evaluate:
- Expected containers exited: FAIL
- Any container unhealthy: WARN
- Docker daemon not running: SKIP (note that containerized services cannot be verified)

4. Disk Space

# All filesystems
df -h

# macOS-specific: available space
df -h / | awk 'NR==2 {print $4, "available on /"}'

Thresholds:
- Usage < 80%: OK
- Usage 80-90%: WARN
- Usage > 90%: FAIL

Find large consumers if disk is WARN or FAIL:

du -sh /* 2>/dev/null | sort -rh | head -10

5. Memory

# macOS
vm_stat | awk '
/Pages free/ {free=$3}
/Pages active/ {active=$3}
/Pages wired/ {wired=$3}
/Pages inactive/ {inactive=$3}
END {
  page=4096
  total=(free+active+wired+inactive)*page/1073741824
  used=(active+wired)*page/1073741824
  printf "Used: %.1f GB / Total: %.1f GB\n", used, total
}'

# Linux
free -h | awk '/^Mem/ {printf "Used: %s / Total: %s (%.0f%%)\n", $3, $2, $3/$2*100}'
free -h | awk '/^Swap/ {if ($2 != "0B") printf "Swap: %s / %s\n", $3, $2}'

Thresholds:
- Memory < 85% used: OK
- Memory 85-95% used: WARN (risk of pressure/OOM)
- Memory > 95% used: FAIL

6. Key Processes

# Check if profClaw node process is running
pgrep -la "node" | grep -v grep

# Check if Redis is running as a process
pgrep -la "redis-server" | grep -v grep

# Check for zombie processes
ps aux | awk '$8 ~ /Z/ {print "ZOMBIE:", $0}'

7. Port Availability

# Verify expected ports are listening
lsof -i :3000 | grep LISTEN   # profClaw API (macOS)
lsof -i :6379 | grep LISTEN   # Redis (macOS)

# Linux alternative
ss -tlnp | grep -E "3000|6379"

Full Diagnostic Script

Run all checks at once:

echo "=== profClaw Health Check ==="
echo ""

# 1. API
echo "--- API ---"
STATUS=$(curl -s -o /dev/null -w "%{http_code}" --max-time 5 http://localhost:3000/health 2>/dev/null)
[ "$STATUS" = "200" ] && echo "[OK] API: HTTP $STATUS" || echo "[FAIL] API: HTTP ${STATUS:-connection refused}"

# 2. Redis
echo "--- Redis ---"
PONG=$(redis-cli ping 2>/dev/null)
[ "$PONG" = "PONG" ] && echo "[OK] Redis: responding" || echo "[FAIL] Redis: not responding"

# 3. Disk
echo "--- Disk ---"
df -h | awk 'NR>1 && $6 != "" && $5+0 > 0 {
  use=$5+0
  if (use >= 90) status="[FAIL]"
  else if (use >= 80) status="[WARN]"
  else status="[OK]  "
  printf "%s %s: %s used (%s/%s)\n", status, $6, $5, $3, $2
}'

# 4. Memory (Linux only, skip on macOS gracefully)
echo "--- Memory ---"
if command -v free &>/dev/null; then
  free -h | awk '/^Mem/ {printf "[OK]   Memory: %s used of %s\n", $3, $2}'
else
  echo "[SKIP] Memory: use Activity Monitor on macOS"
fi

echo ""
echo "=== Done ==="

How to Run a Health Check

Step 1: Detect Platform

uname -s   # Darwin = macOS, Linux = Linux

Use platform-appropriate commands (see system-admin skill for full reference).

Step 2: Run All Checks Sequentially

Use the exec tool to run the full diagnostic script above. Parse results for any [WARN] or [FAIL] lines.

Step 3: Present Aggregated Report

Format the output as a clear status summary:

System Health Report - 2026-03-12 14:32 UTC

[OK]   profClaw API     - HTTP 200, responding normally
[OK]   Redis            - PONG, 142 MB used
[WARN] Disk (/)         - 84% used (421 GB / 500 GB)
[OK]   Memory           - 6.2 GB / 16 GB (39%)
[OK]   Key processes    - node (PID 4821), redis-server (PID 391)

Issues found: 1 warning

WARN: Disk at 84% - consider cleaning logs or old Docker images:
  docker system prune -f
  du -sh /var/log/* | sort -rh | head -5

Step 4: Offer to Investigate Issues

For each WARN or FAIL, offer a follow-up:
- "Want me to find the largest directories on the root filesystem?"
- "Want me to restart the profClaw API process?"
- "Want me to check Redis memory usage in detail?"

Scheduled Health Checks

profClaw can run health checks on a schedule via the cron-manager skill. Suggest this to users who want proactive monitoring:

"You can schedule this to run every 15 minutes using the cron-manager skill.
 I'll alert you in this chat if anything goes below healthy thresholds."

Example Interactions

User: Is everything ok?
You: (runs full diagnostic script via exec, parses output, presents color-coded status report with any issues highlighted and fix commands ready)

User: Is Redis running?
You: (runs redis-cli ping and pgrep redis-server, reports concisely: "[OK] Redis is running - PID 391, responding to PING")

User: Check disk space
You: (runs df -h, flags any filesystem above 80%, offers to dig into large directories)

User: Something feels slow - can you check?
You: (runs CPU + memory + process checks, identifies top consumers, reports clearly: "Node process PID 4821 is using 78% CPU. A BullMQ job may be stuck.")

Safety Rules

  • Never restart services without explicit confirmation: "Redis appears down. Want me to try restarting it? (yes/no)"
  • Never delete files or purge Docker images without user approval
  • Always show PIDs before offering to kill a process
  • Mask any credentials found in environment variable output
  • Do not run sudo commands unless the user explicitly grants permission
  • Confirm before running docker system prune - it removes stopped containers and dangling images

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.