# carbonfootprint

> Use this tool when you need to assess and measure the environmental impact of products, processes, or systems across various categories and datasets. It solves problems related to sustainability and environmental footprint analysis by providing searchable categories and datasets for life cycle assessments. The tool takes in project parameters and defaults as input and outputs consistent and reliable analysis results to inform decision-making and planning.

Canonical page: https://skillsregistry.net/skills/ecosemantic-carbonfootprint  
JSON: https://api.skillsregistry.net/v1/skills/ecosemantic-carbonfootprint

## Description

Discover and run life cycle assessment analyses across searchable categories and datasets. Set session defaults to streamline repeated work and keep projects consistent. Monitor your capabilities and usage to plan analyses with confidence.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ecosemantic/carbonfootprint)

## 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": "ecosemantic-carbonfootprint"
    }
  }
}
```

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