# arc-skill-health-monitor

> Use this tool when you need to detect performance issues or anomalies in deployed skills, such as errors or unexpected behavior changes, to ensure optimal functioning and reliability. It monitors skill performance, identifying drift and errors, and provides insights to inform maintenance and updates. Ideal for maintaining high-quality AI experiences, this tool helps resolve issues before they impact users.

Canonical page: https://skillsregistry.net/skills/trypto1019-arc-skill-health-monitor  
JSON: https://api.skillsregistry.net/v1/skills/trypto1019-arc-skill-health-monitor

## Description

Monitor deployed skills for performance drift, errors, and unexpected behavior changes.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** devops-ci
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/trypto1019-arc-skill-health-monitor)

## 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": "trypto1019-arc-skill-health-monitor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trypto1019-arc-skill-health-monitor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trypto1019-arc-skill-health-monitor/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