# Scholar Feed

> Scholar Feed — yangg40-scholar-feed. Use this tool when you need to efficiently search and analyze large volumes of research papers, particularly in CS, AI, and ML fields. Scholar Feed solves literature review problems by providing a streamlined interface to search, trace citations, and export relevant papers without leaving your workflow. It takes in search queries and citation information, and outputs novelty analysis, full-text papers, and BibTeX exports.

Canonical page: https://skillsregistry.net/skills/yangg40-scholar-feed  
JSON: https://api.skillsregistry.net/v1/skills/yangg40-scholar-feed

## Description

Search 600,000+ CS/AI/ML research papers with LLM-generated novelty analysis, without leaving Claude Code, Cursor, or any MCP client. Built for researchers running a literature review where they already work: search, trace citations, pull full text, and export BibTeX in the same session.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/yangg40/scholar-feed)

## 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": "yangg40-scholar-feed"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yangg40-scholar-feed` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yangg40-scholar-feed/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