# project-sentinel

> project-sentinel — sentinel-atl-project-sentinel. Use this tool when you need to scan and certify the security of MCP servers, ensuring trust and compliance for AI agents. It solves problems of vulnerability and mistrust by providing a security scanner and trust certificates, configurable via YAML. Ideal for use in git-based projects requiring robust security enforcement and certification.

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

## Description

npm audit for AI agents — scan, certify, and enforce trust for MCP servers. Security scanner, trust certificates, YAML-configured gateway.

## 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:** 2026-09-20

## Source

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

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