# PassPaper

> PassPaper — bin-h-17-passpaper. Use this tool when you need to convert handwritten notes or sketches into editable text or LaTeX in real-time, enabling seamless interaction between human and AI agents. PassPaper solves the problem of manually transcribing handwritten content, allowing for efficient collaboration and knowledge capture. It takes handwritten input via a tablet and outputs recognized text, LaTeX, or visual representations in Markdown or Excalidraw format.

Canonical page: https://skillsregistry.net/skills/bin-h-17-passpaper  
JSON: https://api.skillsregistry.net/v1/skills/bin-h-17-passpaper

## Description

Enables AI agents like Claude Code and Codex to read handwriting and sketches drawn on a tablet in real time via MCP, with local recognition to text/LaTeX, session recording, and export to Markdown/Excalidraw.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bp8cd53389)
- **Repository:** <https://github.com/Bin-H-17/passpaper>

## 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": "bin-h-17-passpaper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bin-h-17-passpaper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bin-h-17-passpaper/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