# Ndlovu Code Reviewer

> Use this tool when you need to review local code changes for quality and accuracy, as it solves problems of manual code inspection and integrates git diffs with static analysis from linters. The Ndlovu Code Reviewer takes in local uncommitted code changes and returns structured JSON feedback with findings and suggestions. It is ideal for use in development workflows where automated code review and quality assessment are necessary.

Canonical page: https://skillsregistry.net/skills/shaunie2fly-ndlovu-code-reviewer  
JSON: https://api.skillsregistry.net/v1/skills/shaunie2fly-ndlovu-code-reviewer

## Description

Enables AI assistants to perform comprehensive code reviews of local uncommitted changes by combining git diffs with static analysis from linters like ESLint and TypeScript. Returns structured JSON feedback with findings, suggestions, and quality assessments powered by Google's Gemini CLI.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sky5g4drpw)
- **Repository:** <https://github.com/shaunie2fly/ndlovu-code-reviewer>

## 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": "shaunie2fly-ndlovu-code-reviewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shaunie2fly-ndlovu-code-reviewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shaunie2fly-ndlovu-code-reviewer/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
