# huqan

> huqan — ali-ulu-huqan. Use this tool when you need to verify the trustworthiness of AI agent claims, memories, or actions, and ensure accountability through evidence, provenance, and human approval. It solves problems of data integrity, security, and transparency by providing a local-first verification layer with auditable Trust Receipts. Inputting claims or actions, it outputs verified Trust Receipts, making it ideal for applications requiring high trust and accountability.

Canonical page: https://skillsregistry.net/skills/ali-ulu-huqan  
JSON: https://api.skillsregistry.net/v1/skills/ali-ulu-huqan

## Description

Local-first verification layer for AI agents: evidence, provenance, policy gates, human approval, and auditable Trust Receipts before a claim, memory write, or action is trusted.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/ali-ulu/huqan)

## 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": "ali-ulu-huqan"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ali-ulu-huqan` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ali-ulu-huqan/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