# zugawatch

> zugawatch — zuga-luga-zugawatch. Use this tool when you need to detect runtime call-chain anomalies and rug-pull attacks in MCP servers, providing real-time monitoring and alerts through a CLI, GitHub Action, or integrated server interface. It solves problems of security breaches and unexpected behavior by analyzing call-chain patterns and triggering alerts on suspicious activity. Ideal for use in development and production environments where MCP server security is critical.

Canonical page: https://skillsregistry.net/skills/zuga-luga-zugawatch  
JSON: https://api.skillsregistry.net/v1/skills/zuga-luga-zugawatch

## Description

Runtime call-chain anomaly monitor for MCP servers — rug-pull detection + behavioural anomaly rules, as a CLI, GitHub Action, and MCP server.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Zuga-luga/zugawatch)

## 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": "zuga-luga-zugawatch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zuga-luga-zugawatch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zuga-luga-zugawatch/pull`

---
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