# symposium

> symposium — ai-et-al-symposium. Use this tool when you need to facilitate multi-model deliberation and track discussions in a transparent and ownership-based manner. It solves problems of dissent tracking and meeting documentation by surfacing disagreements verbatim and storing ledgers in Markdown format. Ideal for collaborative decision-making processes, it integrates with git for version control and output management.

Canonical page: https://skillsregistry.net/skills/ai-et-al-symposium  
JSON: https://api.skillsregistry.net/v1/skills/ai-et-al-symposium

## Description

Multi-model deliberation as an MCP server — dissent surfaced verbatim, ledger in Markdown you own

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AI-et-al/symposium)

## 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": "ai-et-al-symposium"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-et-al-symposium` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-et-al-symposium/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