# io.github.rachadele/biolit

> Use this tool when you need to streamline biomedical literature screening and extraction from sources like PubMed, GEO, and preprints. It solves problems of manual literature review and data extraction by leveraging large language models (LLMs) to efficiently process and summarize relevant information. The tool takes in search queries and database sources as inputs and outputs extracted and summarized data, making it ideal for researchers and scientists requiring rapid and accurate literature analysis.

Canonical page: https://skillsregistry.net/skills/io-github-rachadele-biolit  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rachadele-biolit

## Description

LLM-assisted biomedical literature screening and extraction for PubMed, GEO, and preprints.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.25
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.rachadele%2Fbiolit)
- **Repository:** <https://github.com/rachadele/biolit>

## 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": "io-github-rachadele-biolit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-rachadele-biolit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-rachadele-biolit/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