# CodeLens

> Use this tool when you need to analyze repository health, identify outdated dependencies, and discover package alternatives across multiple package managers. CodeLens combines code search with package metadata to enable intelligent repository analysis and technical due diligence workflows. It takes in repository data and returns actionable insights on dependency health, package alternatives, and code quality.

Canonical page: https://skillsregistry.net/skills/yashkashte5-codelens  
JSON: https://api.skillsregistry.net/v1/skills/yashkashte5-codelens

## Description

Combines GitHub code search with Libraries.io package metadata to enable intelligent repository analysis, dependency health checking across multiple package managers (npm, pip, cargo, maven), and package alternative discovery. Provides tools for code search within repositories, file content retrieval, and identifying outdated or unmaintained dependencies for code auditing and technical due diligence workflows.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yashkashte5-codelens)
- **Repository:** <https://github.com/yashkashte5/codelens-mcp>

## 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": "yashkashte5-codelens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yashkashte5-codelens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yashkashte5-codelens/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