# CodeMax

> CodeMax — rish-e-codemax. Use this tool when you need to analyze and understand the entire technology stack of an application, from frontend to backend, to identify issues and optimize performance. CodeMax solves problems of fragmented analysis and missed connections between frontend and backend code, providing a comprehensive view of the application. It takes in git repository data and outputs a unified analysis of the full stack, making it ideal for use in development, debugging, and optimization contexts.

Canonical page: https://skillsregistry.net/skills/rish-e-codemax  
JSON: https://api.skillsregistry.net/v1/skills/rish-e-codemax

## Description

The full-stack MCP that bridges frontend and backend analysis — sees what single-side tools miss.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/rish-e/CodeMax)

## 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": "rish-e-codemax"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rish-e-codemax` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rish-e-codemax/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