# call-academic-search-agent

> call-academic-search-agent — teamolab-call-academic-search-agent. Use this tool when you need to efficiently search and retrieve academic information, solving problems such as finding relevant research papers or authors. It takes in search queries and keywords as input and outputs relevant academic results, providing a streamlined interface for users. Ideal for use in academic research, paper writing, or studying, this agent helps save time and effort in finding credible sources.

Canonical page: https://skillsregistry.net/skills/teamolab-call-academic-search-agent  
JSON: https://api.skillsregistry.net/v1/skills/teamolab-call-academic-search-agent

## Description

AI agent for call academic search agent tasks.

## 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:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/teamolab-call-academic-search-agent)

## 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": "teamolab-call-academic-search-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teamolab-call-academic-search-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teamolab-call-academic-search-agent/pull`

---
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