# CodeScope

> CodeScope — yashisrani-codescope. Use this tool when you need to analyze TypeScript and JavaScript code for complexity, security vulnerabilities, dead code, and dependencies in a fully offline environment. CodeScope solves problems related to code quality, security, and maintainability, providing insights to improve overall code health. It integrates with git, taking in code repositories as input and outputting detailed analysis reports to help developers optimize their codebase.

Canonical page: https://skillsregistry.net/skills/yashisrani-codescope  
JSON: https://api.skillsregistry.net/v1/skills/yashisrani-codescope

## Description

AI-powered TypeScript & JavaScript code analysis for complexity, security, dead code, and dependencies - 100% offline, built for MCP.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/yashisrani/CodeScope)

## 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": "yashisrani-codescope"
    }
  }
}
```

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