# wikillm-digest-noLLM

> wikillm-digest-noLLM — wmyung-wikillm-digest-nollm. Use this tool when you need to convert research paper PDFs to grounded WikiLLM source Markdown without relying on a Large Language Model (LLM). It solves the problem of accurately extracting and formatting content from PDFs, providing a layout-aware and deterministic compilation process. The tool takes PDF files as input and outputs Markdown files, making it ideal for use cases where verbatim grounding and auditability are crucial, such as in academic or research settings.

Canonical page: https://skillsregistry.net/skills/wmyung-wikillm-digest-nollm  
JSON: https://api.skillsregistry.net/v1/skills/wmyung-wikillm-digest-nollm

## Description

Research paper PDF to grounded WikiLLM source Markdown, without an LLM. Layout-aware deterministic compiler with a verified verbatim grounding audit.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/wmyung/wikillm-digest-noLLM)

## 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": "wmyung-wikillm-digest-nollm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wmyung-wikillm-digest-nollm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wmyung-wikillm-digest-nollm/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