No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by blueberrycongee · Agent Tool · ★ 904
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Lumina-Note safe to install? View the security audit →
Lumina Note Human-editable notes with an agent that can work across your vault Lumina Note starts as a fast, local Markdown workspace that stays comfortable for people to read and edit directly. On top of that, it embeds an agent powered by the opencode SDK, giving AI the ability to understand and operate across the whole note vault with your permission. [](https://github.com/blueberrycongee/Lumina-No
| Stars | 904 |
| Forks | 90 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.0903446824398/100 |
| Open Issues | 35 |
| Last Updated | 2026-07-23 |
| Created | 2025-11-28 |
| Platforms | node |
| Est. Tokens | ~2929k |
These tools work well together with Lumina-Note for enhanced workflows:
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Lumina-Note is Lumina Note - A modern Markdown note-taking app with live preview, bidirectional links, and AI assistant. It is categorized as a Agent Tool with 904 GitHub stars.
Lumina-Note is primarily written in TypeScript. It covers topics such as ai, ai-agents, codemirror.
You can find installation instructions and usage details in the Lumina-Note GitHub repository at github.com/blueberrycongee/Lumina-Note. The project has 904 stars and 90 forks, indicating an active community.
Lumina-Note is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Lumina-Note on Agent Skills Hub include kition, solomd, swarmvault. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: