# agent-council

> agent-council — avyayalaya-agent-council. Use this tool when you need to ensure the quality of text artifacts, such as code or documents, by leveraging a council of 5 agents that provide universal quality gating. It solves problems related to inconsistent or low-quality text outputs by adjudicating and validating them against predefined standards. The agent-council takes in text artifacts from git repositories as input and outputs a quality gate verdict, making it ideal for use in development workflows where quality control is crucial.

Canonical page: https://skillsregistry.net/skills/avyayalaya-agent-council  
JSON: https://api.skillsregistry.net/v1/skills/avyayalaya-agent-council

## Description

A runtime-portable 5-agent adjudicator council for universal quality gating of text artifacts.

## Trust

- **Trust score (0–1):** 0.72
- **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/Avyayalaya/agent-council)

## 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": "avyayalaya-agent-council"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/avyayalaya-agent-council` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/avyayalaya-agent-council/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