# cortex

> cortex — astroqueststudio-cortex. Use this tool when you need to quickly understand a codebase and reduce the complexity of analyzing large amounts of code. Cortex solves the problem of efficiently searching and comprehending code repositories, providing a simplified interface for AI agents to find, read, and impact code. It accepts git repositories as input and outputs concise, contextualized code information through its CLI and MCP server interface.

Canonical page: https://skillsregistry.net/skills/astroqueststudio-cortex  
JSON: https://api.skillsregistry.net/v1/skills/astroqueststudio-cortex

## Description

Cortex by AstroQuest — the code-context engine for AI agents. find, card, read, impact: understand a codebase in a few calls and ~10x fewer tokens. CLI + MCP server, local, Rust.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/AstroQuestStudio/cortex)

## 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": "astroqueststudio-cortex"
    }
  }
}
```

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

---
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