# Ennodia

> Ennodia — cherninlab-ennodia. Use this tool when you need to orchestrate multi-agent reviews and produce traceable recommended answers. Ennodia solves problems of complex decision-making and data validation by running installed agent CLIs and tracking child tasks. It takes in multiple agent inputs and outputs a recommended answer with receipts, making it ideal for use cases requiring transparent and auditable decision-making processes.

Canonical page: https://skillsregistry.net/skills/cherninlab-ennodia  
JSON: https://api.skillsregistry.net/v1/skills/cherninlab-ennodia

## Description

MCP server that orchestrates multi-agent reviews by running installed agent CLIs, tracking child tasks, and using Compare to produce a traceable recommended answer with receipts.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sjqlnj8s9z)
- **Repository:** <https://github.com/cherninlab/ennodia>

## 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": "cherninlab-ennodia"
    }
  }
}
```

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