# QualeQuest — AI Agent Governance Platform

> Use this tool when you need to govern and manage complex multi-agent systems, ensuring compliance and optimal decision-making. QualeQuest provides a comprehensive 84-tool platform to oversee tasks, decisions, and machine learning predictions, solving problems related to coordination, accountability, and performance. Ideal for use cases requiring centralized control and monitoring of autonomous agents, QualeQuest streamlines inputs from various sources and outputs actionable insights and recommendations.

Canonical page: https://skillsregistry.net/skills/com-qualequest-governance  
JSON: https://api.skillsregistry.net/v1/skills/com-qualequest-governance

## Description

Multi-agent governance: task orchestration, compliance, decision validation, and ML predictions.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.qualequest%2Fgovernance)

## Use it

MCP endpoint published by the skill: `https://qualequest.com/mcp`

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": "com-qualequest-governance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-qualequest-governance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-qualequest-governance/pull`

---
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