# auto-watchdog

> auto-watchdog — peti0402-auto-watchdog. Use this tool when you need to automatically monitor and maintain the health of OpenClaw agents, solving problems related to downtime and performance issues. The auto-watchdog tool takes agent performance data as input and outputs alerts and self-healing actions, providing a seamless interface for continuous monitoring. It is ideal for use in environments where agent reliability and uptime are critical.

Canonical page: https://skillsregistry.net/skills/peti0402-auto-watchdog  
JSON: https://api.skillsregistry.net/v1/skills/peti0402-auto-watchdog

## Description

Automatic health monitoring and self-healing for OpenClaw agents.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** monitoring
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/peti0402-auto-watchdog)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "peti0402-auto-watchdog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/peti0402-auto-watchdog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/peti0402-auto-watchdog/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt