# pubmed-ml-platform

> pubmed-ml-platform — chibanaryan-pubmed-ml-platform. Use this tool when you need to perform semantic searches over large volumes of biomedical literature, such as PubMed abstracts, to discover relevant research and insights. It solves problems of information overload and inefficiency in searching through vast amounts of scientific texts, providing a streamlined interface for inputting search queries and outputting relevant abstracts. Ideal for researchers, scientists, and healthcare professionals seeking to quickly identify and analyze pertinent studies and findings.

Canonical page: https://skillsregistry.net/skills/chibanaryan-pubmed-ml-platform  
JSON: https://api.skillsregistry.net/v1/skills/chibanaryan-pubmed-ml-platform

## Description

End-to-end ML platform for semantic search over PubMed biomedical abstracts

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/chibanaryan/pubmed-ml-platform)

## 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": "chibanaryan-pubmed-ml-platform"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chibanaryan-pubmed-ml-platform` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chibanaryan-pubmed-ml-platform/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