Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
System Watchdog
System resource monitoring that detects wasteful or suspicious processes. Outputs structured JSON for any consumer.
skill openclawclawhub Free
System resource monitoring that detects wasteful or suspicious processes. Outputs structured JSON for any consumer.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- OPENCLAW.md, SKILL.md, check.sh, openclaw-cron.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- BrennerSpear
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
System Watchdog
Monitor system resources and flag wasteful or suspicious processes. Works standalone as a bash script β see openclaw.md for scheduled cron setup.
Standalone Usage
Run the check script directly β no OpenClaw required: bash check.sh Outputs a JSON object to stdout. Parse it however you like β pipe to jq, feed to an agent, integrate into your own monitoring stack.
Output Format
{ "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 β at least one issue exceeded a threshold suspicious: false β system looks healthy
Thresholds
CheckThresholdIssue TypeProcess RAM> 4096 MBhigh_ramProcess CPU> 50%high_cpuStale processesRunning > 2 days AND using > 100 MB or > 1% CPUstaleDisk usage> 80% on root mountdisk
Common Offenders
claude / codex β AI coding agents left running for days whisper / whisper-server β speech-to-text servers consuming GPU/RAM python / python3 β runaway scripts or leaked processes node β dev servers or builds that never stopped
Agent Workflow (for AI agents)
Run check.sh Parse the JSON output If suspicious is false β do nothing (no report needed) If suspicious is true β format a concise report and notify the user
Suggested Report Format
β οΈ System Watchdog Report π System: RAM 12.3/31.2 GB (39%) | Swap 0.5/8.0 GB (6%) | Load 1.2/0.8/0.6 πΎ Disk: / 45% (120/256 GB) π΄ Issues Found: HIGH RAM β claude (PID 1234) CPU: 2.1% | RAM: 4650 MB | Running: 3 days β Likely stale, safe to kill π‘ Suggested: kill 1234
Platform Notes
macOS only β check.sh uses sysctl, vm_stat, and macOS ps flags. It won't work on Linux without adaptation (replace with free, /proc/meminfo, etc.). Intermittent jq-style parse error β the script occasionally fails on first run due to a race in process scanning. Retry once before reporting failure.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- OPENCLAW.md
- check.sh
- openclaw-cron.json