Evernote Cost TuningSAFE
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Overview
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
4f83675ca38aOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
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-cost-tuning description: 'Optimize Evernote integration costs and resource usage. Use when managing API quotas, reducing storage usage, or optimizing upload limits. Trigger with phrases like "evernote cost", "evernote quota", "evernote limits", "evernote upload". ' allowed-tools: Read, Write, Edit, Grep version: 1.13.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - evernote - api - cost-optimization compatibility: Designed for Claude Code --- # Evernote Cost Tuning ## Overview Optimize resource usage and manage costs in Evernote integrations, focusing on monthly upload quotas, storage efficiency, image compression, and account limit monitoring. ## Prerequisites - Understanding of Evernote account tiers (Basic: 60MB/mo, Premium: 10GB/mo, Business: 20GB/mo) - Access to user quota information via `user.accounting` - Monitoring infrastructure for alerts ## Instructions ### Step 1: Quota Monitoring Query `userStore.getUser()` to access `user.accounting` which contains `uploadLimit`, `uploaded`, and `uploadLimitEnd`. Calculate remaining quota and percentage used. ```javascript async function getQuotaStatus(userStore) { const user = await userStore.getUser(); const { uploadLimit, uploaded, uploadLimitEnd } = user.accounting; return { totalMB: Math.round(uploadLimit / 1024 / 1024), usedMB: Math.round(uploaded / 1024 / 1024), remainingMB: Math.round((uploadLimit - uploaded) / 1024 / 1024), percentUsed: Math.round((uploaded / uploadLimit) * 100), resetsAt: new Date(uploadLimitEnd) }; } ``` ### Step 2: Resource Optimization Compress images before attaching to notes. Resize large images to a maximum dimension (e.g., 1920px). Convert PNG screenshots to JPEG for smaller file sizes. Skip attaching files that exceed the single-note size limit (25MB for Basic, 200MB for Premium). ```javascript function estimateNoteSize(content, resources = []) { const contentBytes = Buffer.byteLength(content, 'utf8'); const resourceBytes = resources.reduce((sum, r) => sum + r.data.size, 0); return contentBytes + resourceBytes; } function canUpload(noteSize, remainingQuota) { return noteSize < remainingQuota; } ``` ### Step 3: Efficient Note Creation Check quota before creating notes with large attachments. Use `findNotesMetadata()` for read operations (zero upload cost). Batch small notes into single notes where appropriate. ### Step 4: Storage Cleanup Find large notes consuming quota. List notes sorted by content length to identify optimization candidates. Remove unused resources and delete notes in trash to reclaim space. ### Step 5: Quota Alerts Send alerts when upload usage exceeds thresholds (e.g., 75%, 90%, 95%). Log quota status after each upload operation for trend analysis. For the complete quota monitor, image optimizer, cleanup utilities, and alert system, see [Implementation Guide](references/implementation-guide.md). ## Account Limits Reference | Limit | Basic | Premium | Business | |-------|-------|---------|----------| | Monthly upload | 60 MB | 10 GB | 20 GB/user | | Single note size | 25 MB | 200 MB | 200 MB | | Notebooks | 250 | 250 | 10,000 | | Tags | 100,000 | 100,000 | 100,000 | | Notes | 100,000 | 100,000 | 500,000 | ## Output - Quota monitoring service with percentage tracking - Image compression pipeline for resource optimization - Pre-upload quota check with size estimation - Storage cleanup utilities for large notes - Threshold-based alert system for quota usage ## Error Handling | Error | Cause | Solution | |-------|-------|----------| | `QUOTA_REACHED` | Monthly upload limit exceeded | Wait for quota reset at `uploadLimitEnd` | | `LIMIT_REACHED` | Too many notebooks or tags | Delete unused notebooks, merge duplicate tags | | `DATA_REQUIRED` | Empty note after optimization | Ensure note still has content after compression | | `BAD_DATA_FORMAT` | Attachment hash mismatch | Recompute MD5 hash after image compression | ## Resources - [Account Limits](https://help.evernote.com/hc/articles/209005247) - [Rate Limits](https://dev.evernote.com/doc/articles/rate_limits.php) - [API Reference - User.accounting](https://dev.evernote.com/doc/reference/) ## Next Steps For architecture patterns, see `evernote-reference-architecture`. ## Examples **Quota dashboard**: Build a dashboard showing current upload usage (MB used / total), days until reset, largest notes by size, and projected usage based on recent trends. **Image pipeline**: Before attaching images, resize to max 1920px width, convert PNG to JPEG at 80% quality, check resulting size against remaining quota, and skip if insufficient.
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__evernote-cost-tuning.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 4f83675ca38a | SAFE | B | 89 | first audit |
Questions
What does the Evernote Cost Tuning 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 Cost Tuning safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Evernote Cost Tuning access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Evernote Cost Tuning 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.