# CouchLoop EQ

> CouchLoop EQ — wisenbergg-couchloop-mcp. Use this tool when you need to ensure the reliability and safety of AI assistants by monitoring their behavior for hallucination, inconsistency, and unsafe reasoning patterns. It solves problems related to AI trustworthiness and transparency, particularly in stateful AI sessions where consistency is crucial. The CouchLoop EQ takes in AI session data as input and outputs alerts and governance recommendations to mitigate potential issues.

Canonical page: https://skillsregistry.net/skills/wisenbergg-couchloop-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wisenbergg-couchloop-mcp

## Description

Behavioral governance layer for AI assistants that monitors for hallucination, inconsistency, and unsafe reasoning patterns while managing stateful AI sessions.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c707ayb4f2)
- **Repository:** <https://github.com/wisenbergg/couchloop-mcp>

## 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": "wisenbergg-couchloop-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wisenbergg-couchloop-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wisenbergg-couchloop-mcp/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