# SENTINEL

> SENTINEL — teodorofodocrispin-cmyk-sentinel-public. Use this tool when you need to ensure the safety of blockchain transactions initiated by AI agents, as it provides a SAFE/UNSAFE verdict along with a SENTINEL Score and risk flags to help mitigate potential risks. It solves problems related to transaction security and risk assessment, accepting blockchain transaction data as input and returning a verdict and score as output. Ideal for use cases where AI agents interact with blockchain networks, requiring an additional layer of security and risk evaluation.

Canonical page: https://skillsregistry.net/skills/teodorofodocrispin-cmyk-sentinel-public  
JSON: https://api.skillsregistry.net/v1/skills/teodorofodocrispin-cmyk-sentinel-public

## Description

Agent-Level Transaction Safety Oracle. Before an AI agent signs a blockchain transaction, it returns a SAFE/UNSAFE verdict with a SENTINEL Score (AAA-D) and risk flags. Pay-per-call $0.005 USDC via x402 on Base.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g0nyeq9f26)
- **Repository:** <https://github.com/teodorofodocrispin-cmyk/sentinel-public>

## 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": "teodorofodocrispin-cmyk-sentinel-public"
    }
  }
}
```

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