# rank-tracker

> rank-tracker — dataleadspro-rank-tracker. Use this tool when you need to monitor and analyze the ranking of projects or repositories on GitHub, solving problems of visibility and popularity tracking. It takes in repository URLs and keywords as inputs and outputs ranking metrics and trends, providing valuable insights for developers and maintainers. Ideal for use cases where reputation and community engagement are crucial, such as open-source projects and competitive coding challenges.

Canonical page: https://skillsregistry.net/skills/dataleadspro-rank-tracker  
JSON: https://api.skillsregistry.net/v1/skills/dataleadspro-rank-tracker

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/DataLeadsPRO/rank-tracker)

## 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": "dataleadspro-rank-tracker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dataleadspro-rank-tracker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dataleadspro-rank-tracker/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