# CarbonLens

> CarbonLens — dharmpratapsingh-carbonlens. Use this tool when you need to analyze greenhouse gas emissions data across various sectors and geographies. CarbonLens solves problems related to environmental sustainability and climate change by providing insights into multi-sector emissions data from 2000-2024, with outputs including geographic granularity from cities to countries. It takes natural language queries as input and provides emissions analytics as output, making it ideal for use cases requiring detailed emissions data analysis and reporting.

Canonical page: https://skillsregistry.net/skills/dharmpratapsingh-carbonlens  
JSON: https://api.skillsregistry.net/v1/skills/dharmpratapsingh-carbonlens

## Description

Production-ready emissions analytics platform combining EDGAR v2024 datasets, Model Context Protocol (MCP) integration, and LLM-powered natural language queries. Analyze multi-sector greenhouse gas data with geographic granularity from cities to countries, 2000-2024.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/DharmpratapSingh/CarbonLens)

## 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": "dharmpratapsingh-carbonlens"
    }
  }
}
```

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