# options-sentinel

> options-sentinel — rr0327-options-sentinel. Use this tool when you need to automate options trading strategies, analyze market risks, and validate investment decisions. Options Sentinel provides AI agent orchestration, market analysis, and paper-trading execution via Alpaca MCP, generating optimal options strategies and streamlining trading workflows. It accepts market data and trading parameters as inputs and outputs optimized trading strategies and execution reports.

Canonical page: https://skillsregistry.net/skills/rr0327-options-sentinel  
JSON: https://api.skillsregistry.net/v1/skills/rr0327-options-sentinel

## Description

Backend services for Options Sentinel, providing AI agent orchestration, market analysis, risk validation, options strategy generation, and Alpaca MCP-based paper-trading execution.

## 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:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/RR0327/options-sentinel)

## 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": "rr0327-options-sentinel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rr0327-options-sentinel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rr0327-options-sentinel/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
