# finagent-os

> finagent-os — rz-logic-finagent-os. Use this tool when you need to manage and govern AI agents in SOX-regulated crypto finance environments, ensuring compliance and transparency through deterministic policy enforcement and audit trails. It provides a robust interface for managing agent policies and monitoring their activities, with inputs from git repositories and outputs to MCP read surfaces. Ideal for use cases requiring strict regulatory adherence and auditability in crypto finance applications.

Canonical page: https://skillsregistry.net/skills/rz-logic-finagent-os  
JSON: https://api.skillsregistry.net/v1/skills/rz-logic-finagent-os

## Description

Governance-first AI agent platform for SOX-regulated crypto finance. Deterministic policy spine, MCP read surface, audit trail.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/RZ-Logic/finagent-os)

## 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": "rz-logic-finagent-os"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rz-logic-finagent-os` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rz-logic-finagent-os/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