# codexlens

> codexlens — yukhy-codexlens. Use this tool when you need to streamline your coding workflow with AI-powered assistance, solving problems such as code completion and optimization. Codexlens integrates with OpenAI Codex and Claude Code MCP, taking Git repository inputs and providing code suggestions and enhancements as outputs. Ideal for developers seeking to boost productivity and automate repetitive coding tasks on macOS.

Canonical page: https://skillsregistry.net/skills/yukhy-codexlens  
JSON: https://api.skillsregistry.net/v1/skills/yukhy-codexlens

## Description

macOS app for OpenAI Codex and Claude Code MCP activity

## Trust

- **Trust score (0–1):** 0.83
- **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/Yukhy/codexlens)

## 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": "yukhy-codexlens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yukhy-codexlens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yukhy-codexlens/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