Overview
- Skill Key
- brennerspear/system-watchdog
- Author
- brennerspear
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/brennerspear/system-watchdog
- Latest Commit SHA
- 872cc87ca737bedbb337f822d433443f3ee1aa60
System resource monitoring that detects wasteful or suspicious processes. Outputs structured JSON for any consumer.
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Status
ACTIVE
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 system-watchdog 技能。 若已安装,则直接安装 system-watchdog 技能。
# System Watchdog
Monitor system resources and flag wasteful or suspicious processes. Works standalone as a bash script — see `openclaw.md` for scheduled cron setup.
## Standalone Usage
Run the check script directly — no OpenClaw required:
```bash
bash check.sh
```
Outputs a JSON object to stdout. Parse it however you like — pipe to `jq`, feed to an agent, integrate into your own monitoring stack.
### Output Format
```json
{
"suspicious": true,
"summary": {
"ram": "12.3/31.2 GB (39%)",
"swap": "0.5/8.0 GB (6%)",
"load": "1.2/0.8/0.6",
"cores": 8,
"disk": "120/256 GB (45%)"
},
"issues": [
{
"type": "high_ram",
"description": "claude (PID 1234) 4650MB RAM",
"details": { "pid": 1234, "name": "claude", "cpu_pct": 2.1, "mem_mb": 4650, "elapsed": "3d" }
}
],
"top_processes": [
{ "pid": 1234, "name": "claude", "cpu_pct": 2.1, "mem_mb": 4650, "elapsed": "3d" }
]
}
```
- `suspicious: true` → at least one issue exceeded a threshold
- `suspicious: false` → system looks healthy
### Thresholds
| Check | Threshold | Issue Type |
|-------|-----------|------------|
| Process RAM | > 4096 MB | `high_ram` |
| Process CPU | > 50% | `high_cpu` |
| Stale processes | Running > 2 days AND using > 100 MB or > 1% CPU | `stale` |
| Disk usage | > 80% on root mount | `disk` |
### Common Offenders
- `claude` / `codex` — AI coding agents left running for days
- `whisper` / `whisper-server` — speech-to-text servers consuming GPU/RAM
- `python` / `python3` — runaway scripts or leaked processes
- `node` — dev servers or builds that never stopped
## Agent Workflow (for AI agents)
1. Run `check.sh`
2. Parse the JSON output
3. If `suspicious` is `false` → do nothing (no report needed)
4. If `suspicious` is `true` → format a concise report and notify the user
### Suggested Report Format
```
⚠️ System Watchdog Report
📊 System: RAM 12.3/31.2 GB (39%) | Swap 0.5/8.0 GB (6%) | Load 1.2/0.8/0.6
💾 Disk: / 45% (120/256 GB)
🔴...
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