# noteyard

> Use this tool when you need to recover and review Apple Notes data on macOS, with features like AI-assisted triage and evidence-backed case Q&A, providing a read-mostly server for local agent workflows with inputs from git and outputs for case analysis. It solves problems related to data recovery, evidence collection, and workflow automation. Ideal for digital forensics, e-discovery, and compliance use cases.

Canonical page: https://skillsregistry.net/skills/xiaojiou176-open-noteyard  
JSON: https://api.skillsregistry.net/v1/skills/xiaojiou176-open-noteyard

## Description

Copy-first Apple Notes recovery and review toolkit for macOS, with AI-assisted triage, evidence-backed case Q&A, and a read-mostly MCP server for Codex / Claude Code style local agent workflows.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [GitHub](https://github.com/xiaojiou176-open/noteyard)

## 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": "xiaojiou176-open-noteyard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaojiou176-open-noteyard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaojiou176-open-noteyard/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