Install and configure Evernote SDK and OAuth authentication. Use when setting up a new Evernote integration, configuring API keys, or initializing Evernote in your project. Trigger with phrases like "install evernote", "setup evernote", "evernote auth", "configure evernote API", "evernote oauth".
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill evernote-install-auth85
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Node.js Evernote client initialization and OAuth setup
Evernote npm package
100%
100%
Correct require/import
100%
100%
Consumer key from env
100%
100%
Consumer secret from env
100%
100%
Sandbox from env var
100%
100%
china false
0%
100%
EVERNOTE_SANDBOX in .env
100%
100%
getRequestToken usage
100%
100%
getAuthorizeUrl usage
100%
100%
Authenticated client with token
100%
100%
getUserStore and getNoteStore
100%
100%
Connection verification
100%
100%
Without context: $0.4281 · 1m 45s · 23 turns · 24 in / 6,176 out tokens
With context: $0.6626 · 2m 12s · 38 turns · 332 in / 6,430 out tokens
OAuth callback handling, session token storage, and token expiration
Callback route path
50%
50%
oauth_verifier from query
100%
100%
getAccessToken call
100%
100%
Session tokens used
50%
100%
Access token in session
100%
100%
edam_expires captured
100%
100%
Token lifetime documented
100%
100%
RATE_LIMIT_REACHED handling
100%
100%
Exponential backoff
16%
50%
Dashboard redirect
100%
100%
Without context: $0.5345 · 1m 57s · 30 turns · 30 in / 6,754 out tokens
With context: $0.5515 · 1m 59s · 28 turns · 27 in / 6,757 out tokens
Python Evernote SDK setup and Developer Token vs OAuth distinction
evernote in requirements
62%
100%
Correct Python import
100%
100%
sandbox=True set
100%
100%
Developer Token approach
100%
100%
Dev token from env
100%
100%
getNoteStore usage
100%
100%
Dev token sandbox only
53%
100%
OAuth for production
100%
100%
consumer_key in Python client
100%
100%
Without context: $0.3227 · 1m 25s · 22 turns · 22 in / 4,417 out tokens
With context: $0.6710 · 2m 20s · 35 turns · 294 in / 6,923 out tokens
Table of Contents
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