Atlas / Skills / jeremylongshore / Evernote Migration Deep Dive

Evernote Migration Deep DiveCAUTION

skills/jeremylongshore/evernote-migration-deep-dive

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
1.13.0
Hosts
1 documented
License
MIT
Stars
2,823
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-08
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: evernote-migration-deep-dive
description: 'Deep dive into Evernote data migration strategies.

  Use when migrating to/from Evernote, bulk data transfers,

  or complex migration scenarios.

  Trigger with phrases like "migrate to evernote", "migrate from evernote",

  "evernote data transfer", "bulk evernote migration".

  '
allowed-tools: Read, Write, Edit, Bash(npm:*), Grep
version: 1.13.0
license: MIT
author: Jeremy Longshore <[email protected]>
tags:
- saas
- evernote
- migration
compatibility: Designed for Claude Code
---
# Evernote Migration Deep Dive

## Current State

!`npm list 2>/dev/null | head -5`

## Overview

Comprehensive guide for migrating data to and from Evernote, including ENEX export/import, bulk API operations, format conversions (ENML to Markdown, HTML to ENML), and data integrity verification.

## Prerequisites

- Understanding of Evernote data model (Notes, Notebooks, Tags, Resources)
- Source/target system access credentials
- Sufficient API quota for migration volume
- Backup strategy in place before starting

## Instructions

### Step 1: Migration Planning

Assess the migration scope: count notes, notebooks, tags, and total resource size. Estimate API call count and quota consumption. Plan for rate limits (add delays between operations).

```javascript
async function assessMigration(noteStore) {
  const notebooks = await noteStore.listNotebooks();
  const tags = await noteStore.listTags();
  let totalNotes = 0;

  for (const nb of notebooks) {
    const filter = new Evernote.NoteStore.NoteFilter({ notebookGuid: nb.guid });
    const spec = new Evernote.NoteStore.NotesMetadataResultSpec({});
    const result = await noteStore.findNotesMetadata(filter, 0, 1, spec);
    totalNotes += result.totalNotes;
  }

  return {
    notebooks: notebooks.length,
    tags: tags.length,
    totalNotes,
    estimatedApiCalls: totalNotes * 2 + notebooks.length + tags.length,
    estimatedTimeMinutes: Math.ceil((totalNotes * 2 * 200) / 60000) // 200ms per call
  };
}
```

### Step 2: Export from Evernote

Export notes in three formats: ENEX (Evernote's XML format, preserves everything including resources), JSON (structured data for programmatic use), or Markdown (human-readable, loses some formatting).

```javascript
async function exportToMarkdown(noteStore, noteGuid) {
  const note = await noteStore.getNote(noteGuid, true, true, false, false);
  const text = enmlToMarkdown(note.content);

  return {
    title: note.title,
    content: text,
    tags: note.tagNames || [],
    created: new Date(note.created).toISOString(),
    resources: (note.resources || []).map(r => ({
      filename: r.attributes.fileName,
      mime: r.mime,
      size: r.data.size
    }))
  };
}
```

### Step 3: Import to Evernote

Convert source data to ENML format, create notebooks to match source structure, and bulk-create notes with rate limit handling. Verify each import by comparing note counts and content hashes.

### Step 4: Migration Runner

Build a migration runner with progress tracking, checkpointing (resume from failure), and verification. Log every operation for audit trail.

For the full migration planner, ENEX parser, format converters, migration runner, and verification tools, see [Implementation Guide](references/implementation-guide.md).

## Output

- Migration assessment tool (note count, estimated time, quota needs)
- ENEX, JSON, and Markdown exporters
- ENML importer with format conversion
- Migration runner with progress tracking and checkpoint/resume
- Post-migration verification (count comparison, content hash check)

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| `QUOTA_REACHED` | Upload quota exceeded during import | Wait for quota reset or upgrade account tier |
| `RATE_LIMIT_REACHED` | Too many API calls during bulk migration | Increase delay between operations, use checkpointing |
| `BAD_DATA_FORMAT` | Source content not valid ENML | Validate and sanitize content before import |
| Lost resources | Attachments not migrated | Verify resource hashes match after migration |

## Resources

- Evernote Export Format (ENEX)
- [ENML Reference](https://dev.evernote.com/doc/articles/enml.php)
- [API Reference](https://dev.evernote.com/doc/reference/)
- [Synchronization](https://dev.evernote.com/doc/articles/synchronization.php)

## Examples

**Export all notes to Markdown**: Iterate through all notebooks, export each note as a Markdown file with frontmatter (title, tags, date), save resources to `assets/` directory, preserving notebook-as-folder structure.

**Import from Notion**: Parse Notion export (Markdown + CSV), convert to ENML, create matching notebooks, and bulk-import with checkpoint/resume for large exports (10,000+ pages).
04

Trust audit

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)FAIL
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

HIGHPrompt injection · prompt.credential_read · CWE-94, CWE-1427
SKILL.md:37
- Source/target system access credentials
Why it matters. asks the agent to read credentials

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__evernote-migration-deep-dive.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-084f83675ca38aCAUTIONB89first audit
06

Questions

What does the Evernote Migration Deep Dive skill do?

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Is Evernote Migration Deep Dive safe to install?

With care. The audit graded it B (89/100) and found 1 thing worth knowing before you trust this skill, listed below with the exact line each was found on.

What can Evernote Migration Deep Dive access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Evernote Migration Deep Dive work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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