# sentinel

> sentinel — juyelhushen-sentinel. Use this tool when you need to automate software issue resolution and learn from past incidents. Sentinel investigates problems, plans and verifies fixes, and utilizes MCP tools, streamlining the debugging process with git integration. It provides autonomous multi-agent support for efficient error correction and knowledge retention.

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

## Description

Autonomous multi-agent engineering copilot that investigates software issues, plans fixes, uses MCP tools, verifies changes, and learns from past incidents.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

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