# crif

> crif — kudodefi-crif. Use this tool when you need to conduct in-depth cryptocurrency research, leveraging human-AI collaboration to analyze complex market trends and patterns. The crif framework solves problems related to data overload and incomplete analysis, providing a comprehensive interface for inputs such as market data and research questions, and outputs including actionable insights and research reports. It is ideal for use cases requiring thorough and accurate cryptocurrency research, such as investment decisions or market forecasting.

Canonical page: https://skillsregistry.net/skills/kudodefi-crif  
JSON: https://api.skillsregistry.net/v1/skills/kudodefi-crif

## Description

Interactive crypto deep-research framework with human-AI collaboration for superior research outcomes.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/kudodefi-crif)

## 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": "kudodefi-crif"
    }
  }
}
```

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