# code-feedback

> code-feedback — niradler-code-feedback. Use this tool when you need to automate code feedback, validation, and project analysis for multi-language projects, to ensure code quality and maintainability. It takes in code repositories and build systems as input and provides detailed feedback and validation outputs. Ideal for developers, teams, and LLM-powered workflows seeking to improve code correctness and consistency across diverse languages and projects.

Canonical page: https://skillsregistry.net/skills/niradler-code-feedback  
JSON: https://api.skillsregistry.net/v1/skills/niradler-code-feedback

## Description

A powerful, open-source Model Context Protocol (MCP) server for automated, multi-language code feedback, validation, and project analysis. Designed for developers, teams, and LLM-powered workflows to ensure code quality, correctness, and maintainability across diverse languages and build systems.

## Trust

- **Trust score (0–1):** 0.84
- **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/niradler/code-feedback)

## 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": "niradler-code-feedback"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/niradler-code-feedback` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/niradler-code-feedback/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