# KYVAutoResearch-v2

> KYVAutoResearch-v2 — kyvjyf-kyvautoresearch-v2. Use this tool when you need to automate research tasks and analyze evidence for project-based problems. It solves issues related to evidence grading and organization through its Problem × Evidence Matrix, providing a structured approach to research. The framework accepts project inputs and outputs graded evidence, ideal for use in research-intensive contexts with Python 3.10+ and git integration.

Canonical page: https://skillsregistry.net/skills/kyvjyf-kyvautoresearch-v2  
JSON: https://api.skillsregistry.net/v1/skills/kyvjyf-kyvautoresearch-v2

## Description

Project-based auto-research AI agent framework. Problem × Evidence Matrix, evidence grading, MCP Server. Python 3.10+. | 项目制自动研究 Agent 框架：问题 × 证据矩阵、证据分级。

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kyvjyf/KYVAutoResearch-v2)

## 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": "kyvjyf-kyvautoresearch-v2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kyvjyf-kyvautoresearch-v2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kyvjyf-kyvautoresearch-v2/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