# grimoire

> Use this tool when you need to access offline security knowledge to enhance AI model decision-making. It solves problems related to security information retrieval by providing a unified interface to search and retrieve data from over 20 curated sources. It takes in search queries as input and outputs relevant security information via the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/penthertz-grimoire  
JSON: https://api.skillsregistry.net/v1/skills/penthertz-grimoire

## Description

Enables AI models to search and retrieve offline security knowledge from over 20 curated sources including HackTricks, PayloadsAllTheThings, and OWASP guides, via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ngoqns3azs)
- **Repository:** <https://github.com/PentHertz/grimoire>

## 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": "penthertz-grimoire"
    }
  }
}
```

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