# sentinel

> sentinel — vedantggwp-sentinel. Use this tool when you need to ensure the safety and integrity of sponsored recommendations in AI conversations. Sentinel solves problems related to verification and security by providing API and MCP verification, signed receipts, and deterministic gates. It is ideal for use cases requiring secure and trustworthy AI interactions, with inputs including conversation data and API requests, and outputs including verified recommendations and signed receipts.

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

## Description

OSS safety runtime for sponsored recommendations in AI conversations; API/MCP verification, signed receipts, deterministic gates.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/vedantggwp/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": "vedantggwp-sentinel"
    }
  }
}
```

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