# OSS Insight

> Use this tool when you need to analyze the GitHub ecosystem and gain insights into open-source trends, contributor activity, and repository performance. It provides 18 read-only tools for data analysis, covering trending repositories, contributor stats, and comparative analysis. Ideal for use cases requiring publicly available GitHub data, such as research, market analysis, or community engagement, with a simple interface that outputs analytics data without requiring authentication.

Canonical page: https://skillsregistry.net/skills/gztchan-ossinsight  
JSON: https://api.skillsregistry.net/v1/skills/gztchan-ossinsight

## Description

Wraps the OSS Insight Public API (maintained by PingCAP) to provide GitHub ecosystem analytics through 18 read-only tools. Covers trending repositories, contributor stats, repository collections, and comparative analysis across the open-source landscape. No authentication required — operates on the public beta API with rate limiting. Requires Node.js 20+.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gztchan-ossinsight)
- **Repository:** <https://github.com/gztchan/ossinsight-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": "gztchan-ossinsight"
    }
  }
}
```

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