# active-maintenance

> active-maintenance — xiaowenzhou-active-maintenance. Use this tool when you need to automate system health checks and optimize memory metabolism for OpenClaw systems, solving issues related to performance degradation and resource utilization. It provides automated monitoring and maintenance, taking system data as input and outputting optimized performance and resource allocation. Ideal for use in production environments where system uptime and efficiency are critical.

Canonical page: https://skillsregistry.net/skills/xiaowenzhou-active-maintenance  
JSON: https://api.skillsregistry.net/v1/skills/xiaowenzhou-active-maintenance

## Description

**Automated system health and memory metabolism for OpenClaw.**.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/xiaowenzhou-active-maintenance)

## 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": "xiaowenzhou-active-maintenance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaowenzhou-active-maintenance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaowenzhou-active-maintenance/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