# GitHub Repo Helper

> Use this tool when you need to quickly summarize and extract key metadata from a GitHub repository, such as repository name, description, languages used, and dependency info. It takes a GitHub repository URL as input and returns a structured summary of the repo, solving problems like information overload and manual data extraction. Ideal for use cases where rapid repository analysis and insight are required, such as project planning, research, or collaboration.

Canonical page: https://skillsregistry.net/skills/niharikaasopa-github-repo-helper  
JSON: https://api.skillsregistry.net/v1/skills/niharikaasopa-github-repo-helper

## Description

GitHub Repo Helper is a simple and beginner-friendly Model Context Protocol (MCP) server that takes a GitHub repository URL and returns a structured summary of the repo. It fetches metadata such as the repository name, description, languages used, README content (summarized), and dependency info

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jut8p3em43)
- **Repository:** <https://github.com/Niharikaasopa/github-repo-helper>

## 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": "niharikaasopa-github-repo-helper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/niharikaasopa-github-repo-helper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/niharikaasopa-github-repo-helper/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