# SlopWatch MCP Server

> Use this tool when you need to monitor AI system performance and hold them accountable for their claims. The SlopWatch MCP Server tracks discrepancies between promised and actual implementations, helping to identify and address potential issues. It takes in AI system claims and delivery data as input and outputs performance metrics and gap analyses to inform decision-making and improve AI reliability.

Canonical page: https://skillsregistry.net/skills/joodascode-slopwatch  
JSON: https://api.skillsregistry.net/v1/skills/joodascode-slopwatch

## Description

An AI accountability system that tracks what AI systems claim they will implement versus what they actually deliver, helping to reduce the gap between promises and reality.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e0sload28l)
- **Repository:** <https://github.com/JoodasCode/SlopWatch>

## 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": "joodascode-slopwatch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joodascode-slopwatch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joodascode-slopwatch/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