# arifosmcp

> Use this tool when you need to establish a governed framework for AI agents, enforcing structured decision-making and safety protocols. It solves problems related to unregulated AI interactions by providing a 13-floor governance structure, session anchoring, and audit logging. The tool accepts AI agent inputs and outputs governed decisions, safety critiques, and audit logs, ideal for use in applications requiring transparent and accountable AI operations.

Canonical page: https://skillsregistry.net/skills/ariffazil-arifosmcp  
JSON: https://api.skillsregistry.net/v1/skills/ariffazil-arifosmcp

## Description

Constitutional MCP server enforcing 13 Floors of governance for AI agents, providing tools for session anchoring, reasoning, safety critique, and audit logging.

## Trust

- **Trust score (0–1):** 0.16
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/te00dwdx8f)
- **Repository:** <https://github.com/ariffazil/arifosmcp>

## 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": "ariffazil-arifosmcp"
    }
  }
}
```

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