# aminer-open-academic

> aminer-open-academic — canxiangcc-aminer-open-academic. Use this tool when you need to query and acquire academic data from open resources, solving problems related to research and information gathering. It provides an interface for querying academic databases and returns relevant data outputs, facilitating use cases such as literature reviews and research trend analysis. Ideal for researchers, students, and academics looking to streamline their data collection process.

Canonical page: https://skillsregistry.net/skills/canxiangcc-aminer-open-academic  
JSON: https://api.skillsregistry.net/v1/skills/canxiangcc-aminer-open-academic

## Description

AMiner open academic resource query tool and academic data acquisition tool.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

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

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/canxiangcc-aminer-open-academic)

## 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": "canxiangcc-aminer-open-academic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/canxiangcc-aminer-open-academic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/canxiangcc-aminer-open-academic/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