# Code Lens

> Use this tool when you need to automate code reviews, detect code smells, and verify logic in your programming projects. Code Lens solves problems related to code quality, consistency, and reliability by providing detailed analysis and feedback through automated diff analysis, pull request assessment, and documentation generation. It takes code inputs and produces structured JSON outputs via Zod schemas, making it ideal for use in software development workflows.

Canonical page: https://skillsregistry.net/skills/j0hanz-code-lens  
JSON: https://api.skillsregistry.net/v1/skills/j0hanz-code-lens

## Description

Uses Google Gemini to perform automated code review, diff analysis, pull request assessment, code smell detection, documentation generation, and logic verification. Exposes 13 tools, 7 resources, and 5 prompts over stdio transport with structured JSON outputs via Zod schemas.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/j0hanz-code-lens)

## 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": "j0hanz-code-lens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/j0hanz-code-lens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/j0hanz-code-lens/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