# codescope

> codescope — adventurewave-labs-codescope. Use this tool when you need to analyze and query large codebases, as it indexes any repository into a queryable graph, solving problems of code navigation and discovery. It accepts inputs via CLI, MCP, and JSON, and provides outputs in a graph format, enabling AI coding agents to efficiently explore and understand code structures. Ideal for use cases involving automated code review, code generation, and AI-powered coding assistance.

Canonical page: https://skillsregistry.net/skills/adventurewave-labs-codescope  
JSON: https://api.skillsregistry.net/v1/skills/adventurewave-labs-codescope

## Description

Code-intelligence engine for AI coding agents — single Rust binary indexes any repo into a queryable graph over MCP, CLI, and JSON.

## 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:** Apache-2.0
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/adventurewave-labs/codescope)

## 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": "adventurewave-labs-codescope"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adventurewave-labs-codescope` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adventurewave-labs-codescope/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