# cirf

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

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

## Description

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

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** finance
- **Updated:** 2026-09-13

## Source

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

## 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-cirf"
    }
  }
}
```

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