# shinobi

> shinobi — deathlabs-shinobi. Use this tool when you need to streamline compliance evaluation for SRG/STIG standards, reducing assessment time and effort. It solves problems related to manual compliance checking, providing an efficient solution for organizations to ensure regulatory adherence. By integrating with git, shinobi takes in compliance benchmarks and outputs evaluation results, making it ideal for use cases where rapid compliance assessment is crucial.

Canonical page: https://skillsregistry.net/skills/deathlabs-shinobi  
JSON: https://api.skillsregistry.net/v1/skills/deathlabs-shinobi

## Description

Reduce the time it takes to evaluate SRG/STIG compliance.

## Trust

- **Trust score (0–1):** 1.00
- **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/deathlabs/shinobi)

## 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": "deathlabs-shinobi"
    }
  }
}
```

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