# resqueThecrocs

> resqueThecrocs — aysemine-resquethecrocs. Use this tool when you need to predict crocodile conservation status using machine learning. It solves problems related to wildlife conservation by providing accurate predictions, and accepts inputs such as species data and environmental factors, outputting conservation status reports. Ideal for conservationists, researchers, and wildlife managers seeking data-driven insights to inform their decision-making.

Canonical page: https://skillsregistry.net/skills/aysemine-resquethecrocs  
JSON: https://api.skillsregistry.net/v1/skills/aysemine-resquethecrocs

## Description

ml-powered mcp enabled web application predicts crocodile conservation status

## Trust

- **Trust score (0–1):** 0.91
- **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/aysemine/resqueThecrocs)

## 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": "aysemine-resquethecrocs"
    }
  }
}
```

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